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Our mission is to be the preferred airline of our customers and our team. Open-mindedness, concern for others, intelligence at work and, above all, a healthy dose of fun enable us to achieve great things every day. Our dedication has earned us the title of the world's best leisure airline multiple times, and we’re just getting started. Want to join us? You will have the chance to enjoy exclusive travel privileges to explore the world and create unforgettable memories. You will also have the opportunity to work in a modern, inspiring environment. * Coordinate end-to-end marketing campaigns for Air Transat and Transat Tours Canada, from planning through launch * Develop, structure, and manage campaign plans, timelines, deliverables, and dependencies * Coordinate campaign execution across paid, owned, website, mobile app, and partner channels * Support the development and execution of clear, high-quality campaign briefs and translate campaign objectives into actionable plans * Act as the central point of coordination between Marketing, Revenue Management, Commercial, CRM, Web, Creative, Product, Contact Center, Legal teams, and external agencies * Facilitate campaign planning meetings, status updates, and launch reviews. * Ensure full campaign readiness before launch (content, offers, CRM, website, contact center, etc.) and compliance with processes, approvals, and quality standards * Monitor campaign progress, anticipate risks, manage issues, and escalate when necessary * Maintain an integrated campaign calendar and ensure visibility and prioritization across the organization * Identify resource conflicts, timing challenges, and capacity constraints in collaboration with teams * Establish and maintain campaign processes, tools, checklists, and governance practices * Coordinate post-campaign reviews, capture learnings, and support continuous improvement ## Qualifications * Bachelor’s degree in marketing, communications, business administration, project management, or a related field * Minimum of 3 years of experience in campaign management, integrated marketing, marketing operations, or project management in a multidisciplinary environment * Experience coordinating complex, multichannel marketing campaigns * Strong project management, organization, and stakeholder coordination skills * Ability to manage multiple priorities simultaneously with structure and attention to detail * Excellent communication, collaboration, and meeting facilitation skills * Experience working with external agencies and cross-functional teams, with a strong focus on continuous improvement * Strong proficiency in MS Office (Word, Excel, Outlook, Teams) and demonstrated ease with collaborative digital tools and AI (e.g., Copilot) * Ability to quickly learn and adapt to new technologies Fluency in spoken and written French and English *A strong command of French is required for positions in Quebec. The individual will need to communicate frequently in English, both verbally and in writing, with colleagues, clients, and other stakeholders in Quebec and internationally. ## Additional Information Artificial intelligence tools are used to analyze applications, whether to sort or preselect profiles based on criteria related to job requirements. All applications are then reviewed by our recruitment team to ensure a fair and inclusive process. Employment Equity At Transat, we foster an environment where inclusiveness, respect and equity reign. We endeavour to build a workforce that reflects the diversity of our customers as well as the communities to which we travel. We encourage women, members of visible minorities, ethnic minorities, aboriginal peoples as well as people with disabilities to submit their candidacy. Transat will accommodate people with disabilities throughout the recruitment and selection process. 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Collaborate with cross-functional stakeholders", "domainKnowledge" : "B2B environments; GTM tools; Intent tools", "domainList" : [ "b2b-environments", "gtm-tools", "intent-tools" ], "domainSpecificKnowledge" : [ "B2B environments", "GTM tools", "Intent tools" ], "toolProficiency" : [ "Marketo", "Salesforce", "6sense", "MadKudu", "AdRoll" ], "communicationSkills" : "Data-driven decision-making", "documentationSkills" : "Documentation", "continuousLearning" : "Learning and development support", "problemSolvingSkills" : "Actionable insights; Clear narratives", "outcomesObjectives" : "Drive progression through the funnel; Improve conversion performance", "qualificationsBasic" : "5+ years of experience in marketing operations, campaign operations, or a related marketing analytics role, Deep hands-on expertise with Marketo, Proven experience running full-cycle campaign execution in partnership with demand generation teams across B2B environments, Background in marketing attribution and analytics, Working knowledge of Salesforce and how it integrates with marketing automation platforms, Experience designing and managing nurture and lifecycle marketing programs, Analytical mindset with the ability to turn complex data into actionable insights and clear narratives, A builder mentality with experience improving systems, automating processes, and scaling marketing operations, Excellent communication skills with a focus on clarity, accuracy, and data-driven decision-making", "qualificationsPreferred" : "Familiarity with modern GTM and intent tools (e.g., 6sense, MadKudu, AdRoll)", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own end-to-end marketing campaign and email operations, partnering closely with demand generation to plan, build, launch, and optimize campaigns across prospect and customer audiences. Design, implement, and maintain nurture and lifecycle programs that drive progression through the funnel and improve conversion performance. Lead marketing attribution, channel mapping, and performance reporting, including funnel, pipeline, and ROI analysis with strong data governance practices. Build and maintain scalable reporting frameworks that ensure consistency, accuracy, and trust in marketing performance data across systems. Support field and event marketing execution by creating landing pages, forms, email programs, and campaign assets. Maintain and optimize the marketing technology stack, including Marketo, Salesforce, and connected systems, ensuring clean integrations and reliable data flow. Develop internal tooling, documentation, and enablement resources to improve self-service capabilities across the marketing organization. Collaborate with cross-functional stakeholders to continuously improve campaign performance, data quality, and operational efficiency. Requirements: 5+ years of experience in marketing operations, campaign operations, or a related marketing analytics role. Deep hands-on expertise with Marketo, including smart campaigns, programs, forms, landing pages, email operations, and platform administration. Proven experience running full-cycle campaign execution in partnership with demand generation teams across B2B environments. Strong background in marketing attribution and analytics, including funnel reporting, pipeline analysis, and multi-touch attribution methodologies. Working knowledge of Salesforce and how it integrates with marketing automation platforms. Experience designing and managing nurture and lifecycle marketing programs. Familiarity with modern GTM and intent tools (e.g., 6sense, MadKudu, AdRoll) and how they support targeting and scoring. Strong analytical mindset with the ability to turn complex data into actionable insights and clear narratives. A builder mentality with experience improving systems, automating processes, and scaling marketing operations. Excellent communication skills with a focus on clarity, accuracy, and data-driven decision-making. Benefits: Competitive base salary with additional bonus and equity eligibility, depending on role structure. Comprehensive healthcare coverage including medical, dental, and vision insurance. 401(k) retirement plan with employer contributions. Flexible PTO policy supporting work-life balance. Parental leave benefits. Fully remote-friendly work environment. Wellness, learning, and development support programs. Opportunity to work in a high-growth cybersecurity environment focused on innovation and impact. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Marketing Campaign Operations & Analytics Manager. Skills: Campaign operations, Marketing analytics, Marketo, Salesforce. Own end-to-end marketing campaign and email operations. 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Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-16T01:10:37.668", "fingerprint" : "c35d7cf58f4ab7b173b8df7adcd895b6d248695c9107c0bcfedc37096b8d1ae2", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114905", "externalId" : "114905", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice What to Expect The Marketing Analytics Manager is responsible for delivering actionable insights that drive lifecycle marketing effectiveness, personalization, and performance optimization across owned digital channels. This role partners closely with Marketing, Digital, Product, Finance, and OEM stakeholders to translate complex data into actionable insights that improve customer acquisition, retention, and lifetime value. What You Will Do 1. Cross ‑ Platform Marketing Analytics & Insights · Lead and execute end ‑ to ‑ end measurement strategies for digital marketing programs, across Salesforce Marketing Cloud and Adobe Experience Cloud. · Define and manage KPIs, dashboards, and scorecards for lifecycle marketing, including conversion, retention, renewal, and cross ‑ sell. · Analyze campaign performance to identify optimization opportunities and inform ongoing digital marketing strategies. 2. Journey Analytics & Attribution · Analyze end ‑ to ‑ end customer journeys by integrating Adobe behavioral data with Salesforce campaign and journey execution data. · Design and manage attribution models (e.g., multi ‑ touch, data ‑ driven) to assess marketing impact across channels and touchpoints. · Apply advanced analytics techniques (segmentation, cohort analysis, LTV modeling, propensity scoring) to support targeting and personalization strategies. · Align Adobe Analytics data with Salesforce Marketing Cloud reporting to quantify marketing impact and downstream financial outcomes. · Partner with marketing and UX teams to optimize journey design, cadence, messaging, and experience strategy. 3. Data & Marketing Technology Enablement · Partner with experience teams to ensure reliable data pipelines across platforms such as CRM, web analytics, media platforms, and enterprise data warehouses. · Serve as an analytics stakeholder in marketing technology initiatives (e.g., Salesforce, Adobe, CDPs). · Ensure analytics solutions scale across multiple brands, products, and OEM requirements. 4. Cross ‑ Functional & Executive Partnership · Translate complex cross ‑ platform data into clear insights, narratives, and recommendations tailored to executive, marketing, and operational audiences. · Support marketing investment decisions, lifecycle strategy, and digital experience optimization efforts. · Support strategic initiatives such as new product launches, dealer programs, UX enhancements, and digital transformation efforts. · Act as a trusted advisor to marketing leadership on performance trends, risks, and investment decisions. What You Will Bring · Minimum 5-7 years of progressive experience in marketing analytics, digital analytics, or CRM analytics. · Experience with Salesforce and Adobe technology stacks. · Experience with content marketing, email marketing, and SEO marketing. · Automotive or financial services industries preferred. · Bachelor’s degree in Marketing, Analytics, Business, Statistics or related discipline. · Salesforce or Adobe certification(s) a plus. · MBA a plus. · Strong working knowledge of Salesforce Marketing Cloud, including customer data activation, journey performance, segmentation effectiveness, and attribution across channels. · SQL proficiency with the ability to query, join, and analyze large datasets across enterprise data warehouses and marketing platforms. · Exceptional attention to detail and quality. · Ability to work autonomously and in a team environment. · Excellent verbal and written communication, including presentation skills. · Excellent interpersonal skills to successfully collaborate with cross functional departments. · Strong orientation toward results coupled with reputation for integrity, creativity and good judgment · Must have the ability to challenge, when appropriate, existing practices. · Proficient in Microsoft 365 Suite (Word, Excel, PowerPoint, Outlook, Teams, Copilot). Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Marketing Analytics Manager at Hyundai Capital America", "createdAt" : "2026-06-14T19:48:31.205", "lastUpdated" : "2026-06-16T01:10:37.668", "ingestTimestamp" : "2026-06-14T19:48:31.205", "mongoId" : "69fc49a74c40e2acd1a83415", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306eaaf292fd229cfe0f04", "title" : "Ad Campaign Manager", "company" : "Nimble", "industry" : "Business Development", "salary" : { "min" : 75000.0, "max" : 90000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Redwood City, CA", "locations" : [ "Redwood City, CA" ], "timestamp" : "2026-06-16T14:46:17.914", "fingerprint" : "2518e3524817ea8941e3abe54026b1027b01722263f9d6269777013edc10bad9", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/nimblerx/0d20d1c1-a6ca-4cd9-8a6f-0f028b65067c/apply", "externalId" : "0d20d1c1-a6ca-4cd9-8a6f-0f028b65067c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redwood City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4863239,-122.2325230" } ], "locationText" : "Redwood City, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "experienceMaxYears" : 4, "experienceLevel" : "Mid", "majorSkills" : "Brand strategy, Customer acquisition, Campaign management, Growth metrics", "majorSkillsList" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "coreResponsibilities" : "Develop brand strategy, Drive customer acquisition, Manage marketing campaigns, Track growth metrics", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Nimble, a Swoop company, is a healthtech company on a mission to simplify access, understanding and management of healthcare. We are starting by building the largest, most loved pharmacy business in the world. We are a fast-growing, technology-first startup driven by perfecting the patient and pharmacist experience. Nimble fosters a culture of collaboration, open communication and deliberate action that allows us to face today’s most exciting challenges head-on and grow incredibly quickly. We’re looking for an Ad Campaign Manager to support the execution, optimization, and performance strategy across pharma campaigns. This is a great opportunity for someone early in their media career who wants hands-on experience in healthcare advertising and performance marketing. ## As an Ad Campaign Manager, you will Support the onboarding and setup of new ad campaigns with pharmaceutical brands and healthcare advertisers, ensuring smooth and timely launches Manage day-to-day campaign operations, including trafficking creative assets, adjusting budgets, implementing optimizations, and setting up A/B tests Monitor campaign performance across digital platforms and deliver timely, insightful reports with actionable recommendations (including delivery, CTR, engagement, and patient action metrics) Collaborate closely with the Business Development team to scope campaign opportunities, create proposals, and provide performance forecasts Proactively optimize campaigns to hit performance benchmarks Collaborate closely with the Business Development team to scope campaign opportunities, create proposals, and provide performance forecasts Partner with Product, Engineering, and Analytics teams to align on technical implementation and ensure accurate tracking, reporting, and delivery against client goals ## What you bring 1-4 years of experience in digital media, campaign management, or paid advertising Agency or in-house marketing experience preferred Healthcare or pharma experience is a plus, but not required Familiarity with digital ad platforms (Meta, Google Ads, DSPs, etc.) Strong attention to detail and QA mindset Comfortable working in Excel or Google Sheets Are curious about data and eager to learn optimization strategies Organized and able to manage multiple campaigns at once Proactive communicator who asks questions and seeks clarity Ability to work in a fast-paced, evolving environment Excitement to grow within a high-impact healthcare tech company Bachelor's degree ## What’s in it for you Compassionate and driven colleagues in a collaborative, high-impact environment Direct access to executives and a transparent company culture Accelerated career growth in a fast-growing company Rare opportunity to shape the future of healthcare and improve the lives of millions The chance to work on something meaningful — your (grand)parents and (grand)children will understand and appreciate what you do Comprehensive Medical / Dental / Vision / 401K benefits package Flexible Vacation Policy 11 Paid Holidays Work out of our HQ in beautiful downtown Redwood City ## Additional Information At Nimble, we are dedicated to putting patients first and improving pharmacies across America. Join us on this exciting journey! Diversity, inclusion and belonging at Nimble: Nimble is building a diverse and inclusive work environment where we learn from each other. We pride ourselves on being an equal opportunity employer and welcome people of diverse backgrounds, abilities and perspectives.", "summaryDescription" : "Ad Campaign Manager at Nimble. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics. Develop brand strategy. Drive customer acquisition", "postedDate" : "2026-06-15T20:29:04.336", "createdAt" : "2026-06-15T20:29:04.336", "lastUpdated" : "2026-06-16T14:46:17.914", "ingestTimestamp" : "2026-06-16T03:24:31.490", "mongoId" : "6a306eaaf292fd229cfe0f04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 90000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c913074d8ee00a098232a", "title" : "Director, Revenue Intelligence & Analytics", "company" : "UPSTACK", "industry" : "FinTech", "salary" : { "min" : 170000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T03:55:24.690", "fingerprint" : "787e70a727a226e07dab4a0af6b02020500a1f5a10fa5e0c89718d1b80113615", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/upstack/jobs/5239447008", "externalId" : "5239447008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "Overview UPSTACK is the leading full-service technology advisory firm, transforming how businesses design, source, implement, support, and optimize IT infrastructure. Clients benefit from decades of expertise, enhanced support, and UPSTACK’s proprietary technology—delivering faster deployments, cost savings, and streamlined access to critical solutions. Our expertise includes: data center colocation, network connectivity, SD-WAN, unified communications, cloud contact center, CX-AI, private/public cloud, security, mobility, business continuity, and IoT. Under the leadership of Founder and CEO Christopher Trapp, UPSTACK is committed to exceptional customer experiences, serving 6,500+ clients—from SMBs to enterprises—and managing over $550M in annual technology spend across industries. About the Role We are seeking a strategic and analytical Director, Revenue Intelligence & Analytics to serve as a trusted partner to the Chief Revenue Officer (CRO) and Go-to-Market (GTM) leadership team. This leader will drive business performance through revenue intelligence, forecasting excellence, financial and operational analytics, and AI-driven insights. The ideal candidate combines deep expertise in revenue operations, financial planning, and business analytics with the ability to influence executive decision-making. This role will lead forecasting governance, pipeline analytics, productivity measurement, partner economics, investment optimization, and strategic planning initiatives that support scalable revenue growth and operational excellence. Key Responsibilities Revenue Intelligence & Forecasting Own and continuously improve revenue forecasting models, including pipeline, bookings, revenue, and quota attainment. Drive forecast rigor, governance processes, and forecasting methodologies across GTM leadership. Lead pipeline inspection and deal review processes to improve forecast accuracy and predictability. Analyze stage conversion rates, deal progression, slippage trends, and forecast variance. Support monthly, quarterly, and annual forecasting processes in partnership with Finance and GTM leadership. Sales Performance & Productivity Analytics Develop sales capacity models, including headcount planning, quota allocation, territory coverage, and ramp productivity. Evaluate sales productivity across segments, geographies, verticals, routes-to-market, and seller types. Support compensation plan modeling, attainment analysis, and incentive effectiveness reviews. Identify opportunities to improve revenue-generating efficiency and resource allocation. Strategic Growth & Market Analysis Conduct Ideal Customer Profile (ICP) analysis, market segmentation, whitespace analysis, and growth opportunity modeling. Analyze key SaaS business drivers including customer acquisition cost (CAC), lifetime value (LTV), funnel conversion, retention, and revenue growth metrics. Develop financial and business models to support pricing strategy, territory planning, market expansion, and investment decisions. Provide recommendations on GTM investments, territory design, and strategic growth initiatives. Partner & Ecosystem Performance Evaluate partner, channel, alliance, and ecosystem performance, including ROI and investment effectiveness. Assess partner economics and recommend optimization strategies to maximize growth and profitability. Executive Reporting & Business Insights Lead analytics and reporting for forecast reviews, Quarterly Business Reviews (QBRs), executive operating reviews, and Board presentations. Design and maintain executive dashboards and KPI reporting frameworks. Deliver actionable insights on performance against targets, highlighting risks, opportunities, and recommended actions. Translate complex data into clear, compelling executive-level narratives. AI & Advanced Analytics Leverage predictive analytics, AI-assisted forecasting, automation, anomaly detection, and scenario modeling to improve decision-making. Identify opportunities to enhance business intelligence capabilities and operational efficiency through technology and analytics. Cross-Functional Leadership Partner with Sales, Marketing, Customer Success, Revenue Operations, Business Systems & Data, and Finance teams to drive alignment and execution. Support annual planning, budgeting, and long-range strategic planning processes. Ensure data integrity, reporting consistency, and analytical rigor across the organization. Drive continuous improvement of processes, tools, systems, and reporting frameworks. Education Bachelor's degree in Finance, Accounting, Economics, Business Administration, or a related field. Required Qualifications 10+ years of experience in Revenue Operations, Revenue Analytics, FP&A, Business Intelligence, Sales Operations, or related strategic analytics functions. Experience supporting executive leadership teams and influencing business strategy through data-driven insights. Proven success in SaaS, subscription-based, or high-growth technology environments. Demonstrated experience building and managing forecasting, planning, and performance management processes. Deep knowledge of: Revenue Operations principles Forecast governance and pipeline management Territory design and sales capacity planning Compensation and incentive design Partner and ecosystem business models SaaS growth metrics and revenue architecture FP&A, forecasting, budgeting, and variance analysis Revenue modeling concepts including ARR, MRR, bookings, churn, and pipeline metrics GTM business models and sales performance measurement Advanced proficiency with: Salesforce SQL Snowflake Gong HubSpot Marketo Power BI, Tableau, or similar BI platforms Excel and financial modeling tools Predictive analytics and AI-enabled business analysis solutions Exceptional analytical and problem-solving skills. Strong executive communication and data storytelling capabilities. Ability to synthesize large, complex datasets into actionable business recommendations. Excellent stakeholder management and cross-functional collaboration skills. Strong project management and prioritization abilities. High attention to detail and commitment to data accuracy. Additional Requirements Ability to influence executive decision-making through quantitative analysis and strategic recommendations. Demonstrated ability to challenge assumptions and drive accountability through business inspection processes. Experience balancing strategic planning with operational execution. Strong business acumen with a focus on ROI-driven investment decisions. Ability to thrive in a fast-paced, high-growth environment with evolving priorities. Proven track record of identifying business risks and opportunities proactively. Experience building scalable analytical frameworks and financial models that support company growth. Ability to partner effectively with both technical and non-technical stakeholders. Commitment to continuous improvement, operational excellence, and innovation. Salary Range Employees new to UPSTACK typically come in at the start of the pay range. UPSTACK focuses on providing a simple and transparent pay structure, which is based on a variety of factors, including location, experience, and job-related skills. The salary range for this role is $170,000.00 to $190,000.00 annually plus participation in the annual bonus program. Compensation includes base salary and benefits. Closing UPSTACK is an Equal Opportunity Employer and does not discriminate based on race, gender, ethnicity, religion, national origin, age, disability, veteran status, gender identity/expression, sexual orientation, or on any other basis prohibited by law. Consistent with applicable state and local law, UPSTACK will consider employment for all qualified applicants. UPSTACK is committed to providing reasonable accommodations to individuals with disabilities as required by applicable law. Accommodations may include adjustments to the application, interview, or assessment process, as well as modifications to the work environment or job duties to enable individuals to perform the essential functions of the role. Requests for accommodations will be evaluated on a case-by-case basis and provided unless they impose an undue hardship on the organization. At this time, UPSTACK will not sponsor a new applicant for employment authorization for this position. We endeavor to make the application process accessible to all applicants. If you would like to contact us regarding accessibility and/or need assistance completing the application process, please contact us at recruiting@upstack.com.", "summaryDescription" : "Director, Revenue Intelligence & Analytics at UPSTACK", "postedDate" : "2026-06-14T20:03:29.222", "createdAt" : "2026-06-14T20:03:29.222", "lastUpdated" : "2026-06-16T03:55:24.690", "ingestTimestamp" : "2026-06-14T20:03:29.222", "mongoId" : "6a2c913074d8ee00a098232a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 190000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b96f292fd229cf5f079", "title" : "Global HR Reporting and Analytics Lead (HR/Workday reporting)", "company" : "Clifford Chance", "industry" : "Legal Services", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Global HR Reporting and Analytics role in Delhi, India, adjusted for the legal industry and company size." }, "location" : "Delhi, IN", "locations" : [ "Delhi", "IN" ], "timestamp" : "2026-06-16T10:38:32.861", "fingerprint" : "c8905c3bf7fb478fafef899c77717d331d771cded5c56289145b02ff67298038", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/CliffordChance/744000132165723-global-hr-reporting-and-analytics-lead-hr-workday-reporting-", "externalId" : "744000132165723", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Delhi", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.6138954,77.2090057" } ], "locationText" : "Delhi, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Data strategy", "Business analysis", "Data governance", "Process improvement", "Team building", "Talent management", "Employee relations", "Organizational development" ], "hardSkillsList" : [ "Statistical techniques", "Data analysis", "HR analytics", "Data management", "Reporting" ], "softSkillsList" : [ "Leadership", "Negotiation", "Influencing" ], "hardSkills" : [ { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "HR analytics", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" }, { "name" : "Influencing" } ], "majorSkills" : "HR Reporting, Analytics, Workday, Data Strategy", "majorSkillsList" : [ "HR Reporting", "Analytics", "Workday", "Data Strategy" ], "coreResponsibilities" : "Lead People Data, Reporting and Analytics function, Lead data and reporting strategy for Global HR, Translate business requirements into analytical framework, Implement and automate business needs on Workday, Automate business needs on BI tool, Drive analytics maturity through continuous improvement, Improve data quality, Improve data management practices, Ensure compliance with Data Privacy Guidelines, Develop standard reports, Develop ad hoc reports, Develop templates, Develop dashboards, Develop scorecards, Develop metrics, Prepare reports for management, Assist in HR projects, Assist in process improvement initiatives, Drive data management approach, Drive data governance processes, Drive Analytics platform adoption, Partner with global HR colleagues, Understand HR needs, Understand business questions, Determine required analysis, Determine required deliverables, Maintain business relationships with stakeholders, Build relevant analysis, Build relevant interpretation, Build the function through hiring, Sustain high-performance team, Develop team capabilities, Set objectives for team, Define clear roles, Define clear responsibilities, Cultivate accountability environment, Embed firm's code of conduct, Embed firm's values, Ensure succession planning, Create culture of learning, Create culture of teamwork, Create culture of camaraderie, Create culture of mutual support", "teamCollaboration" : "Global functional leads; Regional HR leaders; HRBPs; Global HR Operations Lead; Global HR colleagues", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "People Strategy; HR processes; Talent Strategy; People Data; HR Reporting; HR Analytics; Data Privacy; Data Protection", "domainList" : [ "people-strategy", "hr-processes", "talent-strategy", "people-data", "hr-reporting", "hr-analytics", "data-privacy", "data-protection" ], "domainSpecificKnowledge" : [ "People Strategy", "HR processes", "Talent Strategy", "People Data", "HR Reporting", "HR Analytics", "Data Privacy", "Data Protection" ], "toolProficiency" : [ "Workday", "BI tool" ], "communicationSkills" : "Written communication; Verbal communication; Listening skills", "continuousLearning" : "Formal training; Informal coaching; Mentoring; Skills-based training; Technical training; On the job learning", "problemSolvingSkills" : "Analytical mindset; Creative streak; Good judgement; Prioritisation skills", "qualificationsBasic" : "5+ years HR reporting and analytics experience, Technical knowledge and business awareness", "qualificationsPreferred" : "Experience with Workday and BI tool", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who we are As a global law firm our work spans jurisdictions, cultures, and languages – and so do our people. Our culture is collaborative and inclusive — where diverse perspectives are recognised and valued. Where performing to your highest ability, unlocks equal access to opportunities to learn, thrive and grow. We combine deep legal expertise and commercial intelligence to grow, transform, protect, and defend our clients' businesses, across every critical moment. We operate in the sectors and regions that matter to our clients. With forward-thinking insights and innovative, tech-enabled solutions that combine deep knowledge of their sectors and markets. You’ll build connections and work with colleagues as one global team. You’ll unlock opportunities for clients, across borders, cultures, legal and commercial disciplines. Join us to work with colleagues as one global team – empowering each other to be exceptional and create advantage for our clients. Our India team is a well-established and integral part of the firm’s global operations, delivering high-value support across a wide spectrum of functions. With over 800 business professionals based in Gurugram and Hyderabad, we’ve been driving operational excellence and innovation for more than 15 years. We contribute to global success in areas such as Information Technology, Finance, Human Resources, Risk & Compliance, Legal Support, Research & Knowledge, Document Production, Virtual Executive Assistance, Programme Management, Client & Market Development, and Continuous Improvement. The role Human Resources management develops and delivers the firm's People and Talent Strategy, designs and delivers the firm's people practices, designs employee and candidate experiences, and advises the firm's leadership on organisational and individual people matters. The HR Reporting and Analytics team provides the quantitative and qualitative data analysis and reporting of patterns, insights, and trends required to help leaders across organization make informed business decisions to build the workplace of the future. Who you will work with As HR Reporting and Analytics Lead, you will collaborate with global functional leads within HR, Regional HR leaders and HRBPs to lead the roadmap of the People Data, Reporting and Analytics function. This role utilizes various systems and data sources to deliver reports and dashboards. What you will be responsible for As HR Reporting and Analytics Lead, you will lead the People Data, Reporting and Analytics function of the organization. This is an important role requiring both technical knowledge and business awareness, providing stimulating opportunities to contribute to the People Strategy and key priorities. What you will do Strategic/Operational Responsibilities * In partnership with Global HR Operations Lead, take forward and lead the data and reporting strategy defined for Global HR. * Translate business requirements into sound and comprehensive analytical framework through appropriate usage of advanced statistical techniques. * Implement and automate business needs on Workday and BI tool for real time HR analytics. * Drive analytics maturity through continuous improvement in data quality data management practices, and standard tools and capabilities. * Ensure compliance with Data Privacy and Protection Guidelines. * Develop standard and ad hoc reports, templates, dashboards, scorecards, and metrics that drive insights focused on business issues and priorities. * Preparation of various Reports to support the Management needs and ensuring timely adherence to deadlines * Assist in various HR projects and continuous process improvement initiatives along with the Global HR Operations Lead. * Drive our data management and governance approach and processes. * Drive Analytics platform's adoption across the HR organisation * Partner with global HR colleagues to understand their needs and business questions to determine the required analysis and deliverables. * Maintain strong business relationships with key stakeholders to understand what is important to leadership and build relevant analysis and interpretation. People Leadership and Team Management Responsibilities * Build the function through hiring the required technical expertise and sustaining the high-performance team. * Develop capabilities of team members through objective setting, defining clear roles & responsibilities, and cultivating an environment of accountability * Embed the firm's code of conduct and values across the team * Ensuring appropriate succession/back-up planning of team members, to avoid breakage in service * Creating and fostering a culture of constant learning, teamwork, camaraderie, and mutual respect * Maintaining low attrition scores, and high employee and customer satisfaction ratings. ## Qualifications Your experience Desired Experience * Bachelor's/Master's degree or equivalent experience in MIS, Statistics, or similar field. * Experience in managing projects for diversified reporting systems. * Strong experience should be around Workday Reporting tools, Data architecture, Data Quality Management and Data visualisation. * Worked on BI/Analytics projects. * Knowledge of Workday Reporting, SQL, Power BI, Excel. * Good to have knowledge of programming, Python, Tableau and other analytical tools. * Knowledge of HR processes and HR technology applications and professional experience in HR or supporting HR analytics. * Excellent data management and analysis skills to assemble, clean and analyze data effectively. * Understand the process of data integration: including workforce data from central systems such as Workday and other HR applications including recruiting and talent technologies. * Eagerness to learn new things and understand the bigger picture. * Curiosity to better understand current processes and continual desire to improve on processes with ability to ask the right questions to improve quality of work. * Maintain a high degree of confidentiality, accuracy along with attention to detail. Communication and Presentation Skills * Excellent written and verbal communication skills, with strong listening skills. * Excellent negotiation and influencing skills. * Demonstrates credibility and influence with senior clients & stakeholders, to increase usage of services. Analytical and Strategic Thinking Skills * Analytical mindset, with a creative streak to identify and work with non-traditional approaches. * Good judgement and prioritisation skills. * Good knowledge of market trends and potential impact on the firm. Leadership, networking and organisational skills * Demonstrated ability of working in a matrixed environment and balance varying priorities. * Working closely with global stakeholders to shape and lead the department against strategic priorities. * Ability to organise support and to delegate effectively, as required. ## Additional Information How we will support you From your first day with us, you will have varied opportunities to continuously grow and development your skills and knowledge. From formal training, informal coaching and mentoring through to skills-based and technical training and on the job learning. Equal opportunities At Clifford Chance, we forge an inclusive culture, where diverse perspectives are recognised and valued. It’s a culture where everyone has equal access to opportunities to thrive and succeed. We are guided by our values-based Code, which sets high standards of conduct and has a principle focused on being inclusive. We comply with the law and regulations in every location where we operate and we are committed to delivering fair and equal access to all applicants and employees irrespective of background. This applies across all aspects of employment from recruitment and selection to development, progression, and day-to-day working life. Our global network of affinity, faith and support groups are open to all. These communities help to create an environment where everyone at the firm can feel they belong and can reach their full potential. Find out more about our inclusive culture [here](https://www.cliffordchance.com/about_us/inclusion-and-diversity.html).", "summaryDescription" : "Global HR Reporting and Analytics Lead (HR/Workday reporting) at Clifford Chance. Skills: HR Reporting, Analytics, Workday, Data Strategy. Lead People Data, Reporting and Analytics function. Lead data and reporting strategy for Global HR", "postedDate" : "2026-06-15T10:34:08.000", "createdAt" : "2026-06-16T00:17:38.008", "lastUpdated" : "2026-06-16T10:38:32.861", "ingestTimestamp" : "2026-06-16T00:17:38.008", "mongoId" : "6a305b96f292fd229cf5f079", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical techniques", "Data analysis", "HR analytics", "Data management", "Reporting", "Leadership", "Negotiation", "Influencing", "HR Reporting", "Analytics", "Workday", "Data Strategy", "Data strategy", "Business analysis", "Data governance", "Process improvement", "Team building", "Talent management", "Employee relations", "Organizational development", "Roadmap planning", "People Strategy", "HR processes", "Talent Strategy", "People Data", "HR Analytics", "Data Privacy", "Data Protection", "BI tool" ], "skillCount" : 29, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c93eb74d8ee00a0989441", "title" : "Staff Marketing Analytics", "company" : "SolarWinds", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Staff Marketing Analytics role in Austin, TX, adjusted for the technology industry and company size." }, "location" : "Austin Office", "locations" : [ "Austin Office" ], "timestamp" : "2026-06-15T23:02:35.510", "fingerprint" : "8bb02cccaf03748c96e63226413958bfdd8bf78ac3831652d99379a72c690f1e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.solarwinds.com/job-detail/?gh_jid=4572021005&gh_jid=4572021005", "externalId" : "4572021005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Marketing analytics", "Data modeling", "Statistical analysis", "Experiment design", "Data storytelling" ], "hardSkillsList" : [ "Marketing analytics", "SQL", "Data visualization", "A/B testing", "Statistical modeling", "Machine learning" ], "hardSkills" : [ { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Marketing analytics, Data visualization, Statistical modeling, Machine learning", "majorSkillsList" : [ "Marketing analytics", "Data visualization", "Statistical modeling", "Machine learning" ], "coreResponsibilities" : "Develop and maintain marketing analytics dashboards, Analyze marketing campaign performance, Design and execute A/B tests, Provide insights and recommendations to marketing teams, Collaborate with data engineering to ensure data quality, Build predictive models for customer behavior, Stay updated on industry trends and best practices", "teamCollaboration" : "Marketing teams; Data engineering", "domainKnowledge" : "Marketing analytics; Customer behavior; Campaign performance", "domainList" : [ "marketing-analytics", "customer-behavior", "campaign-performance" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Customer behavior", "Campaign performance" ], "toolProficiency" : [ "SQL", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Data storytelling; Executive presentations", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Improve marketing ROI; Optimize campaign spend; Enhance customer segmentation", "qualificationsBasic" : "5+ years of experience in marketing analytics, Proficiency in SQL, Experience with data visualization tools, Experience with A/B testing", "qualificationsPreferred" : "Master's degree preferred, Experience with Python or R, Experience with statistical modeling, Experience with cloud data platforms, Experience with ML frameworks", "rawDescription" : "At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions. The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us! Role Summary SolarWinds, a leader in IT management software, is seeking a Staff Marketing Analytics professional to join our Marketing Analytics team. This highly visible role partners closely with senior marketing leaders to translate complex data into actionable business strategies that drive growth and optimize marketing performance. The ideal candidate combines deep marketing analytics expertise with strong executive presence, business acumen, and intellectual curiosity. Success in this role requires the ability to influence cross-functional stakeholders, present insights with clarity to leadership audiences, and connect analytical findings to strategic business outcomes. Location: Austin, TX (3 days in office) Relocation assistance is not available for this role. Key Responsibilities Partner with marketing leadership to evaluate weekly and monthly performance against company objectives, identify trends, and recommend actions to improve results. Serve as a strategic thought partner to senior stakeholders by translating data into clear business insights and executive-ready recommendations. Identify critical business data needs and convert them into well-defined requirements for analytics and data engineering teams to develop scalable solutions. Analyze customer behavior and marketing performance across the full funnel by combining data from platforms such as Adobe Analytics, Marketo, Salesforce, and Tableau. Drive continuous improvement of Conversion Rate Optimization (CRO) initiatives through A/B test measurement, experiment analysis, and data-driven recommendations. Conduct ad hoc analyses and deep dives to uncover opportunities, risks, and strategic insights. Present complex analytical findings to both technical and non-technical audiences, tailoring recommendations appropriately for executives, marketers, and cross-functional partners. Influence decision-making by balancing analytical rigor with practical business considerations. Required Qualifications 5+ years of experience in marketing analytics with demonstrated impact on business performance. Deep understanding of marketing analytics, including: Data capture and integration across marketing technologies, Attribution and ROI measurement, Performance reporting, Translating analytical outputs into business recommendations. Proven experience partnering with senior leaders and cross-functional stakeholders, with the confidence and executive presence to influence decisions. Strong business acumen and intellectual curiosity, with the ability to ask thoughtful questions and connect analytics to broader organizational goals. Exceptional communication and storytelling skills, including experience presenting insights and recommendations to executive audiences. Minimum 2 years of recent experience with Tableau, Power BI, or comparable visualization tools. Minimum 2 years of recent experience with Adobe Analytics, Google Analytics, or similar web analytics platforms. Strong analytical and problem-solving skills with experience using SQL, Python, R, or comparable tools for data exploration and analysis. SQL preferred. Excellent attention to detail, documentation practices, data validation, and self-audit capabilities. Preferred Strong executive presence and polished communication skills. Experience influencing and partnering with senior leadership teams. The ability to synthesize complex analyses into clear, actionable recommendations. Solid business judgment and comfort navigating cross-functional environments. Intellectual curiosity and a proactive approach to uncovering opportunities through data. A consultative mindset focused on driving outcomes, not simply reporting metrics. SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law. All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice", "summaryDescription" : "Staff Marketing Analytics at SolarWinds. Skills: Marketing analytics, Data visualization, Statistical modeling, Machine learning. Develop and maintain marketing analytics dashboards. Analyze marketing campaign performance", "postedDate" : "2026-06-14T20:13:46.732", "createdAt" : "2026-06-14T20:13:46.732", "lastUpdated" : "2026-06-15T23:02:35.510", "ingestTimestamp" : "2026-06-14T20:13:46.732", "mongoId" : "6a2c93eb74d8ee00a0989441", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Marketing analytics", "SQL", "Data visualization", "A/B testing", "Statistical modeling", "Machine learning", "Data modeling", "Statistical analysis", "Experiment design", "Data storytelling", "Customer behavior", "Campaign performance", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c743c74d8ee00a0934630", "title" : "Staff Analyst - Operational Analytics & Reporting", "company" : "Openly", "industry" : "Operations", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Analyst in the US Insurance industry, adjusted for seniority and remote work." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "certifications" : [ "CPCU" ], "timestamp" : "2026-06-15T22:15:47.461", "fingerprint" : "d29f12f25d5661d588d9966114d434f944c90066ac50988d8dbe410614b8b3be", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/openly/5bfa71a0-a922-4636-9522-53a77ad260ec/application", "externalId" : "5bfa71a0-a922-4636-9522-53a77ad260ec", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, LookerStudio", "professionalSkills" : [ "Analytical Framework", "Process Architecture", "Business Case Leadership", "Stakeholder Diplomacy", "Storytelling" ], "hardSkillsList" : [ "Predictive modeling", "AI leveraging" ], "hardSkills" : [ { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "AI leveraging", "level" : "intermediate" } ], "majorSkills" : "Operational Analytics, Reporting, Data Strategy", "majorSkillsList" : [ "Operational Analytics", "Reporting", "Data Strategy" ], "coreResponsibilities" : "Translate objectives into analytical projects, Design and standardize reporting methodologies, Calculate key business health metrics, Lead development of business cases, Integrate ROI analysis, Assess downstream data impact, Serve as analytical consultant, Prioritize initiatives based on data potential, Translate data into narratives, Lead stakeholders to insights, Lead stakeholders to decisions", "teamCollaboration" : "Cross-functional influence; Analytical consultant for department heads", "projectManagementSkills" : [ "Manage vague projects" ], "domainKnowledge" : "Personal lines insurance; Homeowners insurance; Auto insurance; Insurance operational functions; Property claims", "domainList" : [ "personal-lines-insurance", "homeowners-insurance", "auto-insurance", "insurance-operational-functions", "property-claims" ], "domainSpecificKnowledge" : [ "Personal lines insurance", "Homeowners insurance", "Auto insurance", "Insurance operational functions", "Property claims" ], "toolProficiency" : [ "LookerStudio" ], "communicationSkills" : "Executive-ready narratives", "problemSolvingSkills" : "Analytical frameworks", "qualificationsBasic" : "Several years of experience in personal lines insurance analytics, Expert-level SQL, Experience building predictive models, Experience leveraging AI, Advanced LookerStudio expertise, Mastery of insurance operational functions, Ability to manage vague projects", "qualificationsPreferred" : "Homeowners and Auto analytics experience, Experience in property claims, Progress toward actuarial exams", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "JOB DETAILS Openly is seeking a Staff Analyst to join the Finance & Strategy team. This role serves as a critical link between high-level strategic vision and tactical operational delivery. Reporting to the Senior Director of Operations Analytics and Reporting, you will move beyond functional support to own the analytical frameworks for our most significant business drivers. The ideal candidate has mastered the \"how\" of insurance analytics and is ready to take ownership of the \"what next.\" You will not only provide insights to stakeholders across the organization but will also proactively identify where our data strategy needs to evolve to meet company objectives. In this role, you would serve as the lead solution designer for the team by leveraging deep technical expertise to design durable, cross-functional reporting & analysis. KEY RESPONSIBILITIES Analytical Framework & Strategy - Bridge the Gap: Translate broad leadership objectives into structured analytical projects with defined milestones, moving from \"answering questions\" to \"building solutions.\" - Process Architecture: Design and standardize reporting methodologies across the team to ensure that metrics key business health metrics are calculated with unified logic across all operational functions. - Business Case Leadership: Lead the development of complex business cases for new initiatives, integrating ROI analysis with downstream data impact assessments. Cross-Functional Influence - Stakeholder Diplomacy: Serve as the primary analytical consultant for department heads, helping them prioritize their upcoming initiatives as well as new ideas based on data-driven potential. - Storytelling: Translate complex data into compelling, executive-ready narratives that don't just report numbers, but actively lead stakeholders to critical insights and balanced decisions regarding growth and profitability. REQUIREMENTS - Experience: Several years of experience in personal lines insurance analytics (Homeowners and Auto highly preferred). - Technical Mastery: Expert-level SQL and experience / interest in building predictive models and leveraging AI - Visualization: Advanced LookerStudio expertise, specifically in building executive reporting suites that roll up operational data into strategic dashboards. - Cross-Functional Synthesis: Deep mastery of insurance operational functions (auto and or property claims is a plus) with the strategic confidence to act as a \"connective tissue\" for leadership—leveraging a macro-view of the data to identify dependencies and opportunities across the entire value chain. - Autonomy: Proven ability to manage \"vague\" projects, creating structure where none exists without needing daily direction. - Education/Designation: Degree in a quantitative field; CPCU or progress toward actuarial exams is a strong plus. #LI-CB", "summaryDescription" : "Staff Analyst - Operational Analytics & Reporting at Openly. Skills: Operational Analytics, Reporting, Data Strategy. Translate objectives into analytical projects. Design and standardize reporting methodologies", "createdAt" : "2026-06-14T18:48:23.828", "lastUpdated" : "2026-06-15T22:15:47.461", "ingestTimestamp" : "2026-06-14T18:48:23.828", "mongoId" : "6a2c743c74d8ee00a0934630", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Predictive modeling", "AI leveraging", "Operational Analytics", "Reporting", "Data Strategy", "Analytical Framework", "Process Architecture", "Business Case Leadership", "Stakeholder Diplomacy", "Storytelling", "Manage vague projects", "Personal lines insurance", "Homeowners insurance", "Auto insurance", "Insurance operational functions", "Property claims", "CPCU", "LookerStudio" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb00c74d8ee00a09d8a24", "title" : "Marketing Analytics Lead", "company" : "Hostinger", "industry" : "Revenue & Data", "salary" : { "min" : 6000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vilnius", "locations" : [ "Vilnius", "Kaunas" ], "timestamp" : "2026-06-15T21:50:22.493", "fingerprint" : "7ad60b110ab202f295d93dc2e4bf703557a4149ef2e51d0f4a2b9324d731f9cf", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hostinger/c29a806f-503f-47a8-9ac7-cf3b6b0c1abd/application", "externalId" : "c29a806f-503f-47a8-9ac7-cf3b6b0c1abd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Tableau", "professionalSkills" : [ "Data analysis", "Business decisions", "Stakeholder management" ], "hardSkillsList" : [ "Data analytics", "Data visualization" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Marketing analytics, Team building, Data-driven decision making", "majorSkillsList" : [ "Marketing analytics", "Team building", "Data-driven decision making" ], "coreResponsibilities" : "Set standard for data-driven decision-making, Uphold standard for data-driven decision-making, Ensure marketing strategies are backed by data, Ensure marketing decisions are backed by data, Lead execution of marketing analytics projects, Translate raw data into growth opportunities, Build a team, Hire analysts, Onboard analysts, Mentor analysts, Inspire analysts, Foster a culture, Collaborate with marketing leaders, Align analytical roadmaps with goals, Take ownership of delivery lifecycle, Refine complex requirements, Prioritize backlog, Ensure working on highest impact bets, Iterate on team setup, Iterate on ways of work, Integrate AI, Integrate emerging technologies, Test decentralised leadership concepts, Go full agile, Reinvent the playbook", "teamCollaboration" : "Collaborate with marketing leaders; Collaborate across seniority levels; Bridge gap between technical colleagues; Bridge gap between non-technical colleagues", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Marketing fundamentals; Marketing attribution concepts", "domainList" : [ "marketing-fundamentals", "marketing-attribution-concepts" ], "domainSpecificKnowledge" : [ "Marketing fundamentals", "Marketing attribution concepts" ], "toolProficiency" : [ "Tableau" ], "continuousLearning" : "Access to Reforge; Access to Scribd; Global conferences; Physical libraries; Digital libraries; Mentoring through TesoXchange", "innovationCreativity" : "Integrate AI; Integrate emerging technologies; Test decentralised leadership concepts; Go full agile; Reinvent the playbook", "problemSolvingSkills" : "Data analysis; Translate complex data", "qualificationsBasic" : "Proven hiring skills, Proven onboarding skills, Proven leadership skills, Extensive hands-on data analytics experience, Proficiency in SQL, Proficiency in data visualization tools, Business acumen, Stakeholder management experience", "qualificationsPreferred" : "Knowledge of marketing attribution concepts, Interest in marketing attribution concepts, Tableau proficiency", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Join Hostinger, and we’ll grow fast! \uD83D\uDE80 We’re shaping the future of online success - powered by AI and driven by people. With 900+ talented professionals and over 5 million clients in 150 countries, we help creators and entrepreneurs bring their ideas to life faster and easier than ever before. Our mission: To provide tools that help individuals and small businesses succeed online faster and easier. Our culture: Guided by 10 company principles https://www.hostinger.com/principles. Our formula for success: Customer obsession, innovative products, and talented teams. As a Marketing Analytics Lead, you won’t just support our marketing analytics strategy - you will create and implement it. You will build and empower a team of high-caliber analysts to transform complex datasets into competitive intelligence that fuels our global growth. By owning the standard for data-driven decision-making, you will raise the bar for speed, precision and impact across Hostinger's multi-channel operation - from Affiliates and Influencers to PPC and Organic. Sounds like an exciting challenge? Let us meet and discuss how you can help scale Hostinger even further. Your day-to-day - Set and uphold the standard for data-driven decision-making, ensuring our marketing strategies and decisions are backed by data. - Lead the execution of marketing analytics projects, translating raw data into growth opportunities. - Build a team better than yourself - hire, onboard, mentor and inspire a squad of high-performing analysts, fostering a culture where technical mastery intersects curiosity and drive. - Collaborate directly with marketing leaders (Affiliates, Influencers, PPC, SEO, Product Marketing Managers and other) to align analytical roadmaps with our goals. - Take full ownership of delivery lifecycle - from refining complex requirements to prioritizing the backlog, constantly ensuring we're always working on the highest impact bets. - Keep on iterating in terms of team setup and ways of work - integrate AI or other emerging technologies, test decentralised leadership concepts or go full agile - freedom to reinvent the playbook. Your skills and experience - Proven hiring, onboarding and leadership skills with a track record of building environments where people perform at their peak. - A relentless drive for achieving ambitious goals through data analysis, together with uncompromising standards for quality and speed of delivery. - Solid understanding of marketing fundamentals, data signatures of different channels and marketing attribution concepts (or a strong willingness and interest to learn). - Extensive hands-on data analytics experience, with proficiency in SQL & data visualization tools (we use Tableau). - Strong business acumen with a proven track record of translating complex data into impactful business decisions. - Stakeholder management experience - ability to collaborate effectively across different seniority levels and bridge the gap between technical and non-technical colleagues. - An innovative, results-oriented attitude that constantly seeks to improve processes, team setup and outcomes. Benefits for you - \uD83D\uDE80 360 Growth: We provide limitless learning opportunities https://www.hostinger.com/blog/learning-culture: access to platforms like Reforge and Scribd, global conferences, physical and digital libraries, feedback culture https://www.hostinger.com/blog/reaching-your-peak, and mentoring through TesoXchange https://tesoxchange.com/. Advance your career with internal mobility and grow with a team eager to share knowledge and support your success. - \uD83C\uDFAF Freedom & responsibility: Work on your terms: from modern offices in Kaunas, Vilnius, or Indonesia, the comfort of home, or anywhere in the world. Enjoy flexibility in managing your schedule and bring your ideas to life in a fast-paced, dynamic environment. - \uD83D\uDCAAWellness simplified: Your health comes first with insurance from Day 1, gym memberships, recharge leave, and regular health checks. Join sports, arts, and hobby clubs or simply enjoy the balance of a lifestyle that prioritizes wellness. - \uD83C\uDF89 Work hard - play hard: Celebrate your achievements with company events like Summerfest https://www.youtube.com/watch?v=W-R7mLEwk6Q&ab_channel=HostingerUnfiltered & Winterfest https://www.linkedin.com/posts/hostinger_party-venicecarnival-celebration-activity-7284893033827823616-1mWO/?utm_source=share&utm_medium=member_desktop, Town Hall, Meet the Client initiatives, team-buildings, and workations. Enjoy access to the Žalgiris Arena VIP Lounge and celebrate life’s big moments with milestone gifts for weddings, new parenthood, and graduations. Compensation - Gross salary starting from 6000 EUR/month, depending on your experience and skills. We’re always looking for experienced talent to raise the bar. If you’re excited about the role but the listed salary range doesn’t align with your expectations, we still encourage you to apply - we’re open to adjusting compensation based on the impact and value you bring. Get ready to take your personal and professional growth to new heights! Join Hostinger today and be part of our journey \uD83D\uDE80 Three. Two. Onboard", "summaryDescription" : "Marketing Analytics Lead at Hostinger. Skills: Marketing analytics, Team building, Data-driven decision making. Set standard for data-driven decision-making. Uphold standard for data-driven decision-making", "createdAt" : "2026-06-14T18:18:50.138", "lastUpdated" : "2026-06-15T21:50:22.493", "ingestTimestamp" : "2026-06-14T18:32:22.631", "mongoId" : "6a2cb00c74d8ee00a09d8a24", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analytics", "Data visualization", "Leadership", "Mentoring", "Marketing analytics", "Team building", "Data-driven decision making", "Data analysis", "Business decisions", "Stakeholder management", "Agile", "Marketing fundamentals", "Marketing attribution concepts", "Tableau" ], "skillCount" : 14, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8c8274d8ee00a0975aff", "title" : "Manager, Business Analytics (Brand Marketing)", "company" : "WHOOP", "industry" : "Business Intelligence & Analytics", "salary" : { "min" : 150000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T04:27:07.554", "fingerprint" : "6931dc9359b135e65b48f779af0c4a2c4e1750bdb93d2fb3c98f776d6452db71", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/40c78e07-7ff0-4811-bcfa-f65426bf30cf/application", "externalId" : "40c78e07-7ff0-4811-bcfa-f65426bf30cf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement ETL/ELT processes, Develop and deploy machine learning models, Create and maintain BI dashboards and reports, Perform statistical analysis and A/B testing, Collaborate with engineering teams, Ensure data quality and integrity, Mentor junior analysts and engineers", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Marketing teams", "domainKnowledge" : "Brand marketing; Consumer behavior; Marketing analytics", "domainList" : [ "brand-marketing", "consumer-behavior", "marketing-analytics" ], "domainSpecificKnowledge" : [ "Brand marketing", "Consumer behavior", "Marketing analytics" ], "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Snowflake", "BigQuery", "Redshift", "Databricks", "Delta Lake", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Document data models; Document processes", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "RESPONSIBILITIES: - - Own the end-to-end brand measurement strategy across awareness, consideration, perception, and upper-funnel impact, ensuring alignment with WHOOP’s broader growth objectives. - Build and execute a “test and learn” measurement roadmap aligned to Brand Media goals, driving continuous optimization and learning. - Lead measurement efforts across media effectiveness, brand health, and consumer behavior to inform investment decisions and future planning. - Oversee integrated campaign performance analysis across media channels, creative assets, and downstream business metrics, connecting brand spend to member growth and long-term value. - Demonstrate strong command of media concepts, metrics, and media plan execution, serving as a thought partner to the Brand and Media teams. - Evaluate and manage external brand media data partners, identifying innovative approaches to strengthen WHOOP’s measurement capabilities. - Translate survey data, media performance, web behavior, and conversion trends into clear, executive-ready insights and recommendations. - Manage, mentor, and develop analysts, fostering a culture of analytical rigor, strong storytelling, and high performance. QUALIFICATIONS: - - 6+ years of experience in Analytics, with direct experience in a consumer business preferred. - A self-serve player-coach; able to take broad business questions, wrangle appropriate data, quickly isolate and model key insights, visualize results and communicate actionable recommendations. - Clear, concise communicator with a bias for action. - Demonstrated success in influencing senior stakeholders on strategic direction based on data-driven insights. - Proficiency in SQL; experience with dbt, Snowflake and/or similar platforms. - Highly adept at leveraging AI tools to increase efficiency and quality of work. - Experience leading and developing a team, including driving large projects and mentoring junior analysts. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $180,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.", "summaryDescription" : "Manager, Business Analytics (Brand Marketing) at WHOOP. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and maintain data pipelines. Build and optimize data models", "createdAt" : "2026-06-14T20:17:14.299", "lastUpdated" : "2026-06-16T04:27:07.554", "ingestTimestamp" : "2026-06-14T20:17:14.299", "mongoId" : "6a2c8c8274d8ee00a0975aff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 180000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Machine learning", "Analytics engineering", "Quantitative analysis", "Brand marketing", "Consumer behavior", "Marketing analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Snowflake", "BigQuery", "Redshift", "Databricks", "Delta Lake", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "694ae6e870f0b99d589b3a89", "title" : "Director of Reporting and Analytics", "company" : "SMU", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director of Reporting and Analytics in Dallas, adjusted for the education industry and director-level seniority." }, "location" : "TX-Dallas", "locations" : [ "TX-Dallas" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:42:44.801", "fingerprint" : "209768f93e678f82182d88ec91775d47dd48120fefeed7ad940e7f97a11e7c00", "source" : "taleo", "language" : "en", "applyUrl" : "https://smu.taleo.net/careersection/ex/jobdetail.ftl?job=74552", "externalId" : "74552", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing", "Database management", "Cloud computing" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Business Intelligence, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Analytics", "Business Intelligence", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and maintain reporting dashboards, Analyze complex datasets, Build predictive models, Collaborate with stakeholders, Ensure data quality, Optimize data pipelines, Present findings to leadership, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Business stakeholders; Technical teams", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "communicationSkills" : "Stakeholder communication; Presentation skills", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Bachelor's degree in a quantitative field, 5+ years of experience in data analytics or related field, Proficiency in SQL, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree or PhD in a quantitative field, Experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift), Experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Experience with data engineering tools (e.g., dbt, Airflow), Relevant certifications (e.g., GCP Professional Data Engineer, AWS Data Analytics)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Salary Range: Salary commensurate with experience and qualifications About SMU SMU’s more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University’s small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs. SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences , Cox School of Business , Lyle School of Engineering , Meadows School of the Arts , Simmons School of Education and Human Development , Dedman School of Law , Perkins School of Theology and Moody School of Graduate and Advanced Studies . SMU is data driven, and its powerful supercomputing ecosystem – paired with entrepreneurial drive – creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU’s relationship with Dallas – the dynamic center of one of the nation’s fastest-growing regions – offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Department: Development and External Affairs (DEA) supports SMU by securing funding for University priorities; by promoting meaningful involvement in the life and work of the University; by heightening international, national, state and local awareness of SMU; and by supporting the enrollment of a diverse and able student body. DEA comprises the offices of Office of the Vice President, Annual Giving and Alumni Relations, Development Services, Program Services and Donor Relations, Marketing and Communications, Principal and Major Gifts, and School and Project Development. SMU continues to leverage the benefits from the largest fund-raising campaign in its history to achieve dramatic increases in academic quality and impact. About the Position: This role is an on-campus, in-person position. The Director of Reporting and Analytics leads the strategic vision and execution of the reporting and analytics functions in concert with the Vice President of Development Services, directly supporting the objectives of the Development and External Affairs (DEA) division. The Director manages a team of professionals to develop, convert, and maintain the essential reporting suite while ensuring data integrity, consistency, and optimal architecture. By serving as a thought partner for stakeholders, the Director is critical in translating business goals into actionable insights and robust data services, ultimately maximizing the return on investment in data tools and empowering data-driven decision-making across DEA and SMU. Essential Functions: Leads, mentors, and develops the team of three analytics professionals. This involves setting clear performance expectations, prioritizing and assigning workloads, and fostering a collaborative environment. This leader's guidance is key to guiding the team through the CRM conversion and empowering them to become experts in the new toolset. Owns the technical vision and strategic roadmap for the reporting team. This includes evaluating and guiding the use of the entire reporting suite (Salesforce, CRMA, Tableau, and Apsona) to ensure SMU is maximizing its investment. Creates and enforces standards, processes, and structured governance for query tools like Workbench to ensure consistency and accuracy. Serves as the primary analytics partner and consultant for key stakeholders for Development and External Affairs (DEA) and campus partners. Proactively meets with partners to understand their business goals, translating those goals into technical specifications, and managing the intake process for all new data, report and dashboard requests. Leads the creation of SMU's essential reports during and following the Salesforce conversion. Manages the entire development lifecycle from scoping and design to build, testing, and deployment ensuring that new data requests and reports are accurate, efficient, and provide enhanced insights. Ensures colleagues understand business decisions and logic behind reporting models. Oversees the team's operational output, ensuring the timely and accurate fulfillment of ad-hoc data requests, such as mailing lists and metrics. A critical component of this function is designing, implementing, and enforcing a robust quality assurance (QA) process for all data outputs to guarantee data integrity and build stakeholder trust. Partners closely with the Advancement Applications and Technology Services team to inform and advise on the advancement data architecture, especially within Salesforce. This includes providing an analytics perspective on data flows, object relationships, and the impact of integrations with other third-party solutions to ensure data is structured for optimal reporting and analysis. Other duties as assigned. Occasional travel for professional conferences, speaking engagements, and/or site visits is required. Education and Experience: Bachelor’s degree is required. A Master's degree is preferred. Process improvement and project management certifications are preferred. A minimum of seven years of work experience is required. Experience managing multiple direct reports in a fast-paced, deadline oriented environment is also required. Experience in nonprofit development is desired. Higher education development experience is strongly preferred. Knowledge, Skills and Abilities: Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills. Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning, and time management skills. Candidate must have strong public speaking and presentation skills necessary to drive adoption of data-driven practices and deliver actionable insights from analytics projects. Candidate must demonstrate knowledge of data governance standards and relevant regulation, particularly in regard to personally identifiable information (PII). Candidate must have substantial experience in the management of large scale non-profit CRM software, data analysis tools, and automated business intelligence tools. Physical and Environmental Demands: Sit for long periods of time Deadline to Apply: The position is open until filled. Priority consideration may be given to submissions received by January 9, 2026 EEO Statement SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. Benefits: SMU offers staff a broad, competitive array of health and related benefit s. In addition to traditional benefits such as health, dental, and vision plans, SMU offers a wide range of wellness programs to help attract, support, and retain our employees whose work continues to make SMU an outstanding education and research institution. SMU is committed to providing an array of retirement programs that benefit and protect you and your family throughout your working years at SMU and, if you meet SMU's retirement eligibility criteria, during your retirement years after you leave SMU. The value of learning at SMU isn't just about preparing our students for the future. Employees have access to a wide variety of professional and personal development opportunities , including tuition benefits . USA-TX-Dallas", "summaryDescription" : "Director of Reporting and Analytics at SMU. Skills: Data Analytics, Business Intelligence, Machine Learning, Data Engineering. Develop and maintain reporting dashboards. 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Canada", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, ChatGPT, Claude, Midjourney", "professionalSkills" : [ "Campaign strategy", "Data analysis", "Cross-functional execution", "Stakeholder dynamics", "Process improvement" ], "hardSkillsList" : [ "User acquisition", "Conversion tactics", "Retention levers", "Referral programs", "Incentive design", "Metric definition", "Result interpretation", "Data-driven decisions", "Campaign concept development", "Landing page design" ], "softSkillsList" : [ "High emotional intelligence", "Conflict resolution" ], "hardSkills" : [ { "name" : "User acquisition", "level" : "intermediate" }, { "name" : "Conversion tactics", "level" : "intermediate" }, { "name" : "Retention levers", "level" : "intermediate" }, { "name" : "Referral programs", "level" : "intermediate" }, { "name" : "Incentive design", "level" : "intermediate" }, { "name" : "Metric definition", "level" : "intermediate" }, { "name" : "Result interpretation", "level" : "intermediate" }, { "name" : "Data-driven decisions", "level" : "intermediate" }, { "name" : "Campaign concept development", "level" : "intermediate" }, { "name" : "Landing page design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "High emotional intelligence" }, { "name" : "Conflict resolution" } ], "majorSkills" : "Campaign operations, Platform campaigns, User acquisition, Data analysis", "majorSkillsList" : [ "Campaign operations", "Platform campaigns", "User acquisition", "Data analysis" ], "coreResponsibilities" : "Own end-to-end planning, Own execution, Own performance of platform campaigns, Drive user acquisition, Drive conversion, Drive engagement, Build systems for scale, Build processes for scale, Translate insights into strategies, Collaborate with product teams, Collaborate with design teams, Collaborate with BD teams, Collaborate with legal teams, Collaborate with regional teams, Deliver campaigns on time, Deliver campaigns at scale, Navigate competing priorities, Manage stakeholder dynamics, Document campaign processes, Build reusable playbooks", "teamCollaboration" : "Cross-functional collaboration; Global campaign team", "domainKnowledge" : "Cryptocurrency exchange; Exchange growth mechanics; Trading products; Spot trading; Derivatives trading; Copy trading", "domainList" : [ "cryptocurrency-exchange", "exchange-growth-mechanics", "trading-products", "spot-trading", "derivatives-trading", "copy-trading" ], "domainSpecificKnowledge" : [ "Cryptocurrency exchange", "Exchange growth mechanics", "Trading products", "Spot trading", "Derivatives trading", "Copy trading" ], "toolProficiency" : [ "ChatGPT", "Claude", "Midjourney", "Amplitude", "Mixpanel", "Tableau" ], "communicationSkills" : "Written communication; Verbal communication; Mandarin Chinese proficiency", "documentationSkills" : "Document campaign processes; Build reusable playbooks", "continuousLearning" : "Study Growth Fund", "innovationCreativity" : "Creative ideation; Creative campaign concepts", "problemSolvingSkills" : "Navigate ambiguity; Manage conflicts constructively", "outcomesObjectives" : "Launch campaigns accurately; Launch campaigns on time; Measurable impact on acquisition; Measurable impact on conversion; Consistently high-quality creative output; Identify process improvement; Implement process improvement; Increase team efficiency; Share data insights with leadership; Share post-campaign insights with leadership", "qualificationsBasic" : "3+ years operations experience, Experience running large-scale platform campaigns, Deep understanding of exchange growth mechanics, Data sense, Marketing sense, Proficient in AI-powered workflows, High emotional intelligence, Excellent written and verbal communication, Structured, logical thinker", "qualificationsPreferred" : "Experience running global campaigns, Familiarity with trading products, Experience with campaign analytics tools", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. About the Role The Campaign Operations Manager is a senior individual contributor on the Global Campaign team, responsible for owning the end-to-end planning, execution, and performance of large-scale platform campaigns. This role sits at the intersection of marketing strategy, data analysis, and cross-functional execution — you will drive user acquisition, conversion, and engagement across global markets while building the systems and processes that make campaigns work at scale. Key Responsibilities Campaign Strategy translate insights into actionable strategies Cross-Functional Collaboration Collaborate with product, design, BD, legal, and regional teams to deliver campaigns on time and at scale Navigate competing priorities and stakeholder dynamics with professionalism and composure Document campaign processes and build reusable playbooks to improve team efficiency Requirements Must-Have 3+ years of operations experience at a cryptocurrency exchange, with a proven track record of independently running large-scale platform campaigns A deep understanding of exchange growth mechanics — user acquisition funnels, conversion tactics, retention levers, referral programs, and incentive design Strong data sense — able to independently define metrics, interpret results, and make data-driven decisions Strong marketing sense — able to develop creative, high-impact campaign concepts that stand out in a crowded market Proficient in AI-powered workflows — hands-on experience using AI tools (e.g., ChatGPT, Claude, Midjourney, or equivalent) for creative ideation, data analysis, and landing page design High emotional intelligence — able to navigate ambiguity, manage conflicts constructively, and maintain a positive team dynamic under pressure Excellent written and verbal communication in English; Mandarin Chinese proficiency is a plus Structured, logical thinker — able to manage complexity and deliver under tight deadlines Nice-to-Have Experience running global or multi-region campaigns across different regulatory environments Familiarity with trading products (spot, derivatives, earn, copy trading) and their respective user journeys Experience with campaign analytics tools (e.g., Amplitude, Mixpanel, Tableau, or equivalent) What Success Looks Like Campaigns are launched accurately and on time, with measurable impact on acquisition and conversion metrics Creative output is consistently high-quality — ideas that get noticed internally and resonate with users externally Cross-functional stakeholders describe you as a reliable, clear, and easy-to-work-with partner Within 3 months, you have identified and implemented at least one process improvement that measurably increases team efficiency Data and post-campaign insights are regularly shared with leadership in a clear, actionable format Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.", "summaryDescription" : "Campaign Operations Manager at Bybit. Skills: Campaign operations, Platform campaigns, User acquisition, Data analysis. Own end-to-end planning. Own execution", "postedDate" : "2026-06-14T18:19:59.114", "createdAt" : "2026-06-14T18:19:59.114", "lastUpdated" : "2026-06-16T08:12:38.295", "ingestTimestamp" : "2026-06-14T18:33:03.451", "mongoId" : "6a2c6af174d8ee00a090f4f7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "User acquisition", "Conversion tactics", "Retention levers", "Referral programs", "Incentive design", "Metric definition", "Result interpretation", "Data-driven decisions", "Campaign concept development", "Landing page design", "High emotional intelligence", "Conflict resolution", "Campaign operations", "Platform campaigns", "Data analysis", "Campaign strategy", "Cross-functional execution", "Stakeholder dynamics", "Process improvement", "Cryptocurrency exchange", "Exchange growth mechanics", "Trading products", "Spot trading", "Derivatives trading", "Copy trading", "ChatGPT", 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"https://jobs.lever.co/zopa/f37c57aa-9b3c-4bb0-80e5-6cd1be81459b/apply", "externalId" : "f37c57aa-9b3c-4bb0-80e5-6cd1be81459b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Marketing measurement, Performance analytics, Analytical approaches", "professionalSkills" : [ "Strategic conversations", "Analytical detail", "Business questions", "Analytical work", "Measurement approaches", "Attribution approach", "Marketing effectiveness", "Analytical quality", "Analytical rigour" ], "hardSkillsList" : [ "Marketing analytics", "Growth analytics", "Customer analytics", "Marketing measurement", "Performance analytics", "Customer acquisition", "Customer engagement", "Experimentation", "Marketing investment", "Measurement", "Attribution", "Multi-channel acquisition", "Marketing effectiveness", "Analytical quality", "Analytical rigour" ], "softSkillsList" : [ "Leadership", "Coaching", "Mentoring" ], "hardSkills" : [ { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Growth analytics", "level" : "intermediate" }, { "name" : "Customer analytics", "level" : "intermediate" }, { "name" : "Marketing measurement", "level" : "intermediate" }, { "name" : "Performance analytics", "level" : "intermediate" }, { "name" : "Customer acquisition", "level" : "intermediate" }, { "name" : "Customer engagement", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Marketing investment", "level" : "intermediate" }, { "name" : "Measurement", "level" : "intermediate" }, { "name" : "Attribution", "level" : "intermediate" }, { "name" : "Multi-channel acquisition", "level" : "intermediate" }, { "name" : "Marketing effectiveness", "level" : "intermediate" }, { "name" : "Analytical quality", "level" : "intermediate" }, { "name" : "Analytical rigour", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Coaching" }, { "name" : "Mentoring" } ], "majorSkills" : "Marketing Analytics, Growth Analytics, Customer Analytics, Measurement, Attribution", "majorSkillsList" : [ "Marketing Analytics", "Growth Analytics", "Customer Analytics", "Measurement", "Attribution" ], "coreResponsibilities" : "Partner with senior stakeholders, Solve complex marketing challenges, Solve complex growth challenges, Translate business questions into analytical work, Lead a team of four Analysts, Coach a team of four Analysts, Develop a team of four Analysts, Guide measurement approaches, Build an attribution approach, Define long-term vision, Define long-term strategy, Improve maturity of Marketing Analytics frameworks, Improve maturity of Marketing Analytics processes, Improve maturity of Marketing Analytics capabilities, Influence decisions relating to customer acquisition, Influence decisions relating to growth, Influence decisions relating to marketing effectiveness, Build relationships across teams, Ensure analytical outputs are commercially impactful, Ensure analytical outputs are actionable, Maintain high standards of analytical quality, Maintain high standards of analytical rigour", "teamCollaboration" : "Senior stakeholders; Marketing teams; Growth teams; Analytics teams; Product stakeholders", "domainKnowledge" : "Marketing measurement; Performance analytics; Customer acquisition; CRM; Multi-touch attribution; Marketing mix modelling; Financial services; Fintech", "domainList" : [ "marketing-measurement", "performance-analytics", "customer-acquisition", "crm", "multi-touch-attribution", "marketing-mix-modelling", "financial-services", "fintech" ], "domainSpecificKnowledge" : [ "Marketing measurement", "Performance analytics", "Customer acquisition", "CRM", "Multi-touch attribution", "Marketing mix modelling", "Financial services", "Fintech" ], "problemSolvingSkills" : "Problem solver; Break down complex business questions", "specialRequirements" : "Work from abroad up to 120 days", "outcomesObjectives" : "Inform growth strategy; Inform customer value; Inform investment decisions", "qualificationsBasic" : "Experience in Marketing Analytics, Experience in Growth Analytics, Experience in Customer Analytics, Proven track record of leading analysts, Ability to operate between strategic conversations and analytical detail, Experience improving analytics functions, Build credibility with senior stakeholders", "qualificationsPreferred" : "Background in marketing agency, Background in media agency, Exposure to customer acquisition attribution, Exposure to CRM, Exposure to next best action modelling, Exposure to lifetime value modelling, Experience with multi-touch attribution, Experience with marketing mix modelling, Track record leading analytics transformation, Track record leading maturity improvement programmes, Experience operating in fast growing organisations, Financial services exposure, Fintech exposure, Familiarity with AI enabled analytics approaches, Familiarity with AI enabled analytics tools", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "## Description Our Story Hello there. We’re Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we’ve built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com! We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife Marketing Analytics is becoming an increasingly important capability within the business, and this role will play a key part in shaping what that function looks like over the coming years. This is a really exciting opportunity to join at a pivotal point in the team's evolution. You'll help shape how Marketing, CRM and Growth teams use analytics to make better decisions about customer acquisition, engagement, experimentation and marketing investment, while leading a growing team and influencing decisions that directly impact business growth. Rather than inheriting a fully mature function, you'll help build capability, improve ways of working and establish Marketing Analytics as a strategic capability that informs growth strategy, customer value and investment decisions across the business. ## A day in the life Partner with senior stakeholders to solve complex marketing and growth challenges Translate strategic business questions into analytical work that drives action Lead, coach and develop a team of four Marketing Analysts Guide measurement approaches across acquisition, CRM and growth activity Build a strong measurement and attribution approach for an increasingly complex multi-channel acquisition approach Define and champion the long-term vision and strategy for Marketing Analytics, ensuring the function evolves to support Zopa's growth ambitions and changing marketing landscape Improve the maturity of Marketing Analytics frameworks, processes and capabilities Influence decisions relating to customer acquisition, growth and marketing effectiveness Build strong relationships across Marketing, Growth and Analytics teams as well as broader product stakeholders Ensure analytical outputs are commercially impactful and actionable Maintain high standards of analytical quality and rigour ## About you Strong experience in Marketing Analytics, Growth Analytics, Customer Analytics or a closely related field, with an exposure to a broad range of marketing measurement requirements across the funnel Deep domain expertise and understanding of the unique challenges of marketing measurement and performance analytics Proven track record of leading analysts and you enjoy coaching, mentoring and developing teams Ability to operate comfortably between strategic conversations and analytical detail Experience improving the maturity of analytics functions rather than simply maintaining established processes A strong problem solver who can break down complex business questions into practical analytical approaches You can build credibility with senior stakeholders across both marketing and analytics functions You bring enough technical depth to challenge thinking, review analytical approaches and maintain analytical standards Comfortable working in an environment that is still evolving and where there is opportunity to shape the future direction Added bonus: Background in marketing or media agency environments Exposure to customer acquisition attribution, CRM, next best action / lifetime value modelling Experience with multi-touch attribution and marketing mix modelling to enhance effectiveness Track record leading analytics transformation or maturity improvement programmes Experience operating in fast growing organisations where analytics capabilities are still being established Financial services or fintech exposure Familiarity with AI enabled analytics approaches and tools ## Additional Information At Zopa we value flexible ways of working. We value face-to-face collaboration and a good work-life balance. This hybrid role requires you to come to our London office 2-3 days a week. You'll also have the option of working from abroad for up to 120 days a year!* But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one. *Subject to having the right to work in the country of choice Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments. ", "summaryDescription" : "Head of Marketing Analytics at Zopa. Skills: Marketing Analytics, Growth Analytics, Customer Analytics, Measurement, Attribution. Partner with senior stakeholders. Solve complex marketing challenges", "postedDate" : "2026-06-15T16:27:08.498", "createdAt" : "2026-06-15T16:27:08.498", "lastUpdated" : "2026-06-16T11:28:19.177", "ingestTimestamp" : "2026-06-16T03:26:36.991", "mongoId" : "6a30662df292fd229cfaed57", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Marketing analytics", "Growth analytics", "Customer analytics", "Marketing measurement", "Performance analytics", "Customer acquisition", "Customer engagement", "Experimentation", "Marketing investment", "Measurement", "Attribution", "Multi-channel acquisition", "Marketing effectiveness", "Analytical quality", "Analytical rigour", "Leadership", "Coaching", "Mentoring", "Marketing Analytics", "Growth Analytics", "Customer Analytics", "Strategic conversations", "Analytical detail", "Business questions", "Analytical work", "Measurement approaches", "Attribution approach", "CRM", "Multi-touch attribution", "Marketing mix modelling", "Financial services", "Fintech" ], "skillCount" : 32, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a305750f292fd229cf37c37", "title" : "Senior Business Intelligence Analyst – Product Analytics", "company" : "ZoomInfo Technologies LLC", "industry" : "Technology", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Business Intelligence Analyst in Bulgaria, adjusted for the SaaS industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T07:46:55.942", "fingerprint" : "5f805319f5556283dd8f227f06ff5eddef1b3cfa6b34cf8b1616ae9d9b91e93d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zoominfo.com/careers?gh_jid=8561605002", "externalId" : "8561605002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Product analytics", "Business intelligence", "Data engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Data modeling", "Statistical analysis", "Machine learning", "Data warehousing", "ETL processes", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Product analytics, Business intelligence, Data science, Data engineering", "majorSkillsList" : [ "Product analytics", "Business intelligence", "Data science", "Data engineering" ], "coreResponsibilities" : "Develop and maintain BI dashboards, Build and optimize data pipelines, Perform complex data analysis, Collaborate with product managers, Identify key product metrics, Drive data-informed product decisions, Communicate findings to stakeholders, Develop and implement A/B tests", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams; Stakeholders", "domainKnowledge" : "Product analytics; Data science; Data engineering; Machine learning; Business intelligence; Cloud data platforms; Statistical modeling", "domainList" : [ "product-analytics", "data-science", "data-engineering", "machine-learning", "business-intelligence", "cloud-data-platforms", "statistical-modeling" ], "domainSpecificKnowledge" : [ "Product analytics", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Cloud data platforms", "Statistical modeling" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "communicationSkills" : "Stakeholder communication; Data storytelling", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills; Problem-solving", "outcomesObjectives" : "Drive data-informed product decisions; Identify key product metrics", "qualificationsBasic" : "SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. Overview We are seeking a Senior Business Intelligence Analyst to help drive product strategy and execution through analytics, measurement, and actionable insights across Product, Product Leadership, and Engineering. This role is responsible for transforming complex product and business questions into actionable insights, scalable measurement approaches, and trusted analytics that influence product outcomes and business performance. This role focuses on product analytics, customer behavior, product performance, and business outcomes. The successful candidate will help Product and Engineering teams understand what is happening, why it is happening, and what actions should be taken next. The ideal candidate combines strong analytical skills, product thinking, business acumen, intellectual curiosity, and a bias toward action. They are comfortable navigating evolving business needs, quickly learning new domains, and applying data to solve complex product and customer challenges. They will independently own analytics initiatives from problem definition through recommendation while helping evolve how analytics supports Product and Engineering organizations. You will operate with a high degree of autonomy and influence, partnering closely with Product Managers, Product Leadership, Engineering, Data Engineering, and Business Intelligence teams to ensure product investments are measurable, impactful, and aligned with business objectives. What You'll Do Product Analytics Ownership • Partner with Product Managers and Engineering leaders to understand customer workflows, product experiences, user behaviors, and business objectives, using data to drive product strategy and decision-making. • Develop a deep understanding of customer workflows, product experiences, and user behaviors to identify opportunities for improved adoption, engagement, retention, and value realization. • Define success metrics and measurement plans for product launches, features, and strategic initiatives. • Develop and refine KPIs and measurement frameworks that align teams around product and business performance. • Partner with Product and Engineering teams to define event tracking requirements and ensure product telemetry supports meaningful measurement and analysis. • Quantify opportunity size and help Product teams prioritize investments based on expected customer value, business impact, and strategic objectives. • Support product teams throughout the product lifecycle, from opportunity identification and prioritization through launch and post-release evaluation. Analytics Execution & Insight Generation • Conduct deep-dive analyses to identify trends, opportunities, risks, and root causes. • Translate complex business questions into actionable insights and recommendations. • Design, analyze, and communicate results from experiments, feature launches, and product initiatives, evaluating customer and business impact. • Identify and quantify opportunities to improve product experiences, customer engagement, retention, and business outcomes through data-driven analysis. • Evaluate tradeoffs between competing product investments and provide analytical recommendations that support roadmap prioritization. Stakeholder Partnership & Data Storytelling • Act as a trusted analytics partner to Product, Engineering, and Leadership teams. • Present analytical findings and recommendations through clear narratives and effective visualizations. • Influence prioritization and strategic decisions through evidence-based insights. • Communicate complex analytical concepts to both technical and non-technical audiences. Analytics Excellence & Innovation • Partner with Data Engineering and Analytics teams to improve data quality, instrumentation, and accessibility. • Leverage modern analytics and AI-powered tools to accelerate analysis and improve team efficiency. • Contribute to scalable analytics best practices, governance, and continuous improvement across the organization. About You • You think beyond dashboards and reporting, focusing on the business decisions, customer behaviors, and product outcomes behind the data. • You bring strong product and analytical instincts, using customer behavior, product usage patterns, and business outcomes to guide recommendations and influence product decisions. • You are naturally curious, comfortable navigating ambiguity, and able to bring structure and clarity to evolving challenges. • You can move seamlessly between technical analysis, stakeholder discussions, and executive communication. • You operate independently, take ownership of outcomes, and effectively influence stakeholders through sound judgment and analytical rigor. What You Bring • 5+ years of experience in Business Intelligence, Product Analytics, Growth Analytics, or related analytical roles within B2B SaaS or technology organizations. • Demonstrated experience influencing product, business, or operational decisions through analytical insights and recommendations. • Strong SQL skills and experience working with large-scale datasets. Experience with Python or other analytical programming languages is a plus. • Experience partnering with cross-functional teams, including Product Management, Engineering, and Business stakeholders. • Proven ability to define KPIs, build measurement frameworks, and translate complex business questions into actionable analysis and recommendations. • Experience analyzing product adoption, customer behavior, engagement, retention, experimentation, or product performance. • Strong communication and data storytelling skills, with the ability to tailor insights to technical and executive audiences. • Demonstrated experience leveraging AI-powered tools and LLMs to accelerate analytical workflows, automate repetitive tasks, improve research efficiency, enhance data exploration, and generate actionable insights. Success in This Role Means • Product teams consistently use your analyses and recommendations to improve product experiences, customer outcomes, and business performance. • Product teams use your analyses to prioritize roadmap investments, evaluate tradeoffs, and make more informed product decisions. • Product and business metrics are trusted, accurate, clearly defined, and consistently applied across the organization. • Complex product and business questions are translated into clear analytical approaches that drive meaningful action and measurable outcomes. • Product opportunities, launches, and strategic initiatives are supported by clear measurement frameworks and well-defined success criteria. • Product launches, experiments, and strategic initiatives have measurable business impact. • Product decisions are increasingly informed by customer behavior, product usage patterns, and business performance insights. • ZoomInfo gains a deeper understanding of customer behavior, product adoption, engagement, and business performance through your work. Equal Employment Opportunity (EEO) Statement Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $112,840—$177,320 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.", "summaryDescription" : "Senior Business Intelligence Analyst – Product Analytics at ZoomInfo Technologies LLC. Skills: Product analytics, Business intelligence, Data science, Data engineering. 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We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. At 1Password, our purpose is to build a safe, simpler digital future for everyone. The Sr. Campaign Manager for SaaS Manager is the person who makes that real for one of our highest-potential growth bets. This isn't a role for someone who waits for the playbook to be written. It's for someone who writes it — tests it — throws out what doesn't work — and doubles down on what does. You'll lead growth marketing for 1Password's SaaS Manager solution as a core member of the SaaS Manager virtual business unit, reporting to the Sr. Director of Global Campaigns with a dotted line to the SaaS Manager GM. Your mandate is clear: create demand, generate pipeline, and find the repeatable growth loops that will take SaaS Manager from high-potential bet to scaled business. You'll own new logo demand gen and cross-sell expansion strategy — end-to-end — partnering with Product, PMM, Revenue Marketing, Performance Marketing, Growth Web, and Sales to sharpen positioning, unlock pipeline, and build the marketing engine this business needs to scale. You're the bridge between experimentation and execution, ensuring momentum never stalls and every test gets you closer to what works. You'll also build and leverage AI agents and automated workflows as a core part of how you operate — moving faster, surfacing insights sooner, and scaling what's working without adding headcount. This is a role for a builder. Someone who thrives in ambiguity, operates from first principles, and gets genuinely excited about the challenge of finding product-market fit in motion. If you're energized by speed, ownership, and the idea of leaving your fingerprints on a business that's just getting started — this is your seat at the table. How we’re using AI today On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password. This is a remote opportunity within Canada and the US. What we're looking for: - 8+ years of experience in demand generation, campaign marketing, or growth marketing within B2B SaaS or enterprise technology, with a track record of building programs from the ground up. - Proven ability to own pipeline outcomes end-to-end -- from strategy through execution and measurement -- across multi-channel campaigns that drive pipeline growth, adoption, and revenue impact, without waiting for perfect conditions or complete resources. - Strong experience leading cross-functional initiatives as a driving force, including bringing new products or capabilities to market by rallying teams, removing blockers, and taking accountability for results even outside your direct authority. - Deep familiarity with enterprise sales cycles, buying committees, and the content/messaging needed to influence them. - Strong understanding of enterprise B2B SaaS growth metrics including ARR, pipeline generation, product adoption, retention, and expansion. - Strong analytical and decision-making skills with a bias toward action and experimentation; comfortable making high-quality decisions with imperfect information and owning the outcomes. - Ability to deliver clear recommendations and influence decisions across all levels of the organization. - Proactive use of AI as a force-multiplier for demand generation efforts -- speeding research, insights, and content iteration -- while preserving brand voice and accuracy. - Location Requirement: Must be based in EST What you can expect: Start-up Style Growth Marketing Leadership - Own the end-to-end growth marketing strategy for a new product, from early validation through readiness for scale. - Partner with PMM to define new logo ICP and target customers, priority use cases, and demand hypotheses. - Translate product strategy into clear market narratives, demand generation plans, and activation programs. - Identify when the product is ready to transition into core marketing motions and support that transition. Demand Creation & Market Activation - Build full-funnel demand generation campaigns leveraging AI tools for audience segmentation, creative personalization, and optimal channel spend to drive engagement and pipeline growth. - Develop campaign briefs, timelines, and project plans, ensuring alignment and smooth, on-time delivery with clear ownership and accountability. - Test new campaigns, plays, and routes to market that drive meaningful impact. - Track and report regularly on marketing performance. Establish early indicators of traction, learn quickly, and iterate based on results. Cross-Functional Partnership - Partner with Performance marketing , Digital Web Experience, and Field Marketing to build omni-channel programs. - Work with Product Marketing to shape positioning, messaging frameworks, and proof points as the product evolves. - Collaborate with Content, Product Marketing, and Design to develop and iterate on high-performing assets across all stages of the buyer journey, from awareness through closed-won. - Align closely with Sales to enable early pipeline generation, test cross-sales motions, and refine qualification and messaging based on real-world feedback. What success looks like: - Pipeline creation and sales engagement driven by marketing-led initiatives. - Clear, validated positioning and messaging for a new product. - Strong alignment between Product, PMM, Sales, and Marketing on target customers and GTM approach. - A repeatable playbook that enables the product to grow into a scaled business. - Regularly build & run AI agents to automate the repetitive, amplify the creative, and free yourself to focus on the strategy that moves the needle. USA-based roles only: The annual base salary for this role is between $150,000 USD and $218,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $147,000 CAD and $213,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing \uD83D\uDC76 Maternity and parental leave top-up programs \uD83E\uDE7A Competitive health benefits \uD83C\uDFDD Generous PTO policy Growth and future \uD83D\uDCC8 RSU program for most employees \uD83D\uDCB8 Retirement matching program \uD83D\uDD11 Free 1Password account Community \uD83E\uDD1D Paid volunteer days \uD83C\uDFC6 Peer-to-peer recognition through Bonusly \uD83C\uDF0E Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.", "summaryDescription" : "Senior Campaign Manager, SaaS Manager at 1Password. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics", "createdAt" : "2026-06-16T00:28:59.101", "lastUpdated" : "2026-06-16T11:53:32.538", "ingestTimestamp" : "2026-06-16T00:28:59.101", "mongoId" : "6a305987f292fd229cf48950", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c95ac74d8ee00a098db0e", "title" : "Sr Manager Data Analytics, Marketing", "company" : "Fanatics Betting & Gaming", "industry" : "Sports & Fitness", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T09:52:41.454", "fingerprint" : "4834bdf7196e077b4e681b9894ca6960f634b3b890cce695edf3cbe83a6d9cfa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticsfbg/jobs/4239983009", "externalId" : "4239983009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data analysis", "Statistical modeling", "Experiment design", "Performance evaluation", "Decision making", "Business intelligence", "Quantitative analysis", "ML framework development" ], "hardSkillsList" : [ "Data analytics", "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Model development" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "Data analytics, Machine learning, Business intelligence, Data engineering", "majorSkillsList" : [ "Data analytics", "Machine learning", "Business intelligence", "Data engineering" ], "coreResponsibilities" : "Monitor performance, Ensure nuances communicated, Partner with Data Science, Partner with Experimentation teams, Design value metrics, Design testing, Evaluate performance, Contribute to development, Iteratively improve acquisition performance, Drive decision making, Create regular insights, Create ad hoc insights, Gather insights metrics, Gather insights activities, Present insights metrics, Present insights activities, Build relationships with stakeholders, Drive acquisition performance, Collaborate with Analysts, Collaborate with Data Scientists, Find solutions to business problems, Remain current on technology, Remain current on trends", "teamCollaboration" : "Digital Acquisition team; Sportsbook team; Casino team; Data teams; Other Analysts; Data Scientists", "domainKnowledge" : "Sports betting; iGaming platform; Online sports betting; Statistical model development; High-growth environments; Betting and gaming industry", "domainList" : [ "sports-betting", "igaming-platform", "online-sports-betting", "statistical-model-development", "high-growth-environments", "betting-and-gaming-industry" ], "domainSpecificKnowledge" : [ "Sports betting", "iGaming platform", "Online sports betting", "Statistical model development", "High-growth environments", "Betting and gaming industry" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Dbt Cloud", "AWS S3", "AWS Glue", "AWS SageMaker", "AWS Athena", "GCP Vertex AI", "Azure Synapse", "Azure ML Studio" ], "communicationSkills" : "Presenting insights; Advisory", "problemSolvingSkills" : "Logical approach; Analytical approach", "qualificationsBasic" : "5+ years experience, SQL proficiency, Required degrees in Statistics, Required degrees in Computer Science, Required degrees in Mathematics", "qualificationsPreferred" : "PhD preferred, Cloud platform certifications", "remoteFriendly" : false, "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U. S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. The Role: We are seeking a Senior Analytics Manager to join the Fanatics Betting monitor and ensure that nuances are communicated effectively. Partner closely with Data Science and Experimentation teams to design value metrics and testing, and evaluate performance. Contribute to the development and iterative improvement of our acquisition performance, using insights to drive and influence decision making. Be a hands-on analyst, creating insights both regular and ad hoc. Gather and present insights metrics and activities to key stakeholders, becoming a trusted source of intelligence and advisory over time. Build strong relationships with internal stakeholders in the Digital Acquisition team, as well as across the Sportsbook, Casino, and Data teams, and become a key voice in driving acquisition performance. Collaboration with other Analysts and Data Scientists to find solutions to business problems. Remain current on technology and trends in data analytics and the sports betting a strong understanding of the considerations required to run these tests. Experience in and a strong understanding of statistical model development. Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationship, and to influence senior leadership. Confident with presenting insights to non-technical audiences, seeking to match the analysis to the business context, and making recommendations on further steps. Customer focused; highly outcome-oriented and data-driven; experienced in working in high-growth environments. Logical and analytical approach to problem solving, with strong organizational and skills. Previous experience in the betting and gaming industry is a significant plus. Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $160,000—$200,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Sr Manager Data Analytics, Marketing at Fanatics Betting & Gaming. Skills: Data analytics, Machine learning, Business intelligence, Data engineering. Monitor performance. 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External partners; Marketing leaders; Cross-functional areas; Direct to consumer marketing; B2B marketing", "projectManagementSkills" : [ "Prioritize effectively" ], "domainKnowledge" : "Marketing analytics; Personalization models; Incentive models; Media measurement", "domainList" : [ "marketing-analytics", "personalization-models", "incentive-models", "media-measurement" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Personalization models", "Incentive models", "Media measurement" ], "toolProficiency" : [ "Databricks", "SQL", "Python", "Spark", "Airflow", "Git", "GitHub", "Tensorflow", "Sci-kit learn" ], "communicationSkills" : "Stakeholder communication; Interpersonal skills", "continuousLearning" : "Research industry trends", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Problem-solving experience", "specialRequirements" : "Live in United States, 3 days in office", "qualificationsBasic" : "5+ years experience, 2+ years management experience, Bachelor's degree, Expert-level data analysis, Expert-level pipeline tools, SQL proficiency, Python proficiency, Spark proficiency, Airflow proficiency, Git/GitHub proficiency, Machine learning expertise, Statistical techniques expertise", "qualificationsPreferred" : "Analytical ability preferred, Problem-solving experience preferred, Marketing/media measurement preferred, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Ibotta is looking for a Data Science Manager, Marketing Analytics to join our fast-growing team. This position is located in Denver, Colorado, as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. THE ROLE This is a player/coach role that will lead the data science and analytics engineering functions within the Marketing Analytics team, while driving innovative solutions using machine learning, data analytics, and statistical modeling for internal and external partners. You will work closely with direct to consumer and B2B marketing leaders to define and execute Ibotta’s growth strategy, translating business questions and performance goals into Machine Learning driven personalization models This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. WHAT YOU’LL BE DOING - Lead data science projects end-to-end: gathering requirements, cleaning complex datasets, and developing, evaluating, and productionizing innovative technical solutions, while optimizing existing incentive models - Build centralized and extensible code repositories, packages, and workflows in Python. - Implement MLOps best practices and establish automated processes to scale insights across Ibotta. - Flex work between advanced ML capabilities and descriptive analyses to meet the business where it's at. - Confidently speak with internal and external stakeholders about foundational models and project deliverables. - Serve as a leader across the department, bringing operational and culture-building best practices. - Research industry trends to stay abreast of new developments and proactively suggest areas of improvement. - Uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, and the belief that a good idea can come from anywhere. What we’re looking for: - 5+ years of experience in a measurement-driven function with experience working directly with leadership. - 2+ years of management experience with a proven ability to hire and develop talent. - Bachelor’s degree in computer science, data analytics, computer engineering, or a related field. - Expert-level experience with data analysis and pipeline tools, including Databricks, SQL, Python, Spark, Airflow, and Git/GitHub. - Experience hiring, leading, developing, and retaining talent - Deep expertise in machine learning tools (e.g., Tensorflow, sci-kit learn, Gradient Boosting, Neural Networks) and statistical techniques (Causal inference, A/B testing). - Demonstrated analytical ability and problem-solving skills; experience in marketing/media measurement is strongly preferred. - Excellent interpersonal and communication skills, with the ability to collaborate across functional areas. - Curiosity and the capability to prioritize effectively in a fast-paced environment. About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on https://medium.com/building-ibottaMedium.com http://Medium.com. Additional Job Description - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals. - Base compensation range: $158,000 - $185,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees. #LI-Hybrid #BI-Hybrid", "summaryDescription" : "Data Science Manager, Marketing Analytics at Ibotta. Skills: Machine learning, Data analytics, Analytics engineering, Statistical modeling. Lead data science projects. Gather requirements", "createdAt" : "2026-06-14T09:42:29.739", "lastUpdated" : "2026-06-15T09:48:30.880", "ingestTimestamp" : "2026-06-14T09:42:29.739", "mongoId" : "6a2c8d6f74d8ee00a0978f94", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 158000, "salaryAnnualMax" : 185000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Machine learning", "Statistical analysis", "A/B testing", "Causal inference", "MLOps best practices", "Leadership", "Data analytics", "Analytics engineering", "Statistical modeling", "Data analysis", "Pipeline tools", "MLOps", "Personalization models", "Incentive models", "Growth strategy", "Prioritize effectively", "Marketing analytics", "Media measurement", "Databricks", "SQL", "Python", "Spark", "Airflow", "Git", "GitHub", "Tensorflow", "Sci-kit learn" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2176f474d8ee00a0c1b5e7", "title" : "Sr. Planning, Reporting & Analytics Program Manager", "company" : "Amazon Japan G. K.", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, Logistics", "salary" : { "min" : 1.3E7, "max" : 1.8E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Planning, Reporting & Analytics Program Manager in Tokyo, Japan, adjusted for Amazon's company size and the logistics industry." }, "location" : "Tokyo, JPN", "locations" : [ "Tokyo, JPN" ], "timestamp" : "2026-06-15T00:56:21.007", "fingerprint" : "42ea92ad7977e519992e53247019a3b007ab42b12650f8b62c6905736f74861d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10436671/apply", "externalId" : "69d8e8a5-a6b1-4253-9ee3-ca382f3884e1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL, Tableau, Quicksight", "professionalSkills" : [ "Program management", "Business analysis", "Capacity planning", "Operations planning", "Data synthesis", "Narrative writing", "Process improvement" ], "hardSkillsList" : [ "Data analysis", "Reporting mechanisms", "Performance metrics" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting mechanisms", "level" : "intermediate" }, { "name" : "Performance metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Planning, Reporting, Analytics, Program management", "majorSkillsList" : [ "Planning", "Reporting", "Analytics", "Program management" ], "coreResponsibilities" : "Own and orchestrate planning cycles, Manage timelines, Coordinate cross-functionally, Ensure deliverable quality, Own preparation and delivery of reporting, Synthesize data, Write narratives, Drive clear decisions, Write executive-level narratives, Edit executive-level narratives, Build reporting mechanisms, Identify trends, Identify risks, Identify opportunities, Act as connective tissue, Manage competing priorities", "teamCollaboration" : "Cross-functional alignment; Operations teams; Finance teams; Product teams; Technology teams", "projectManagementSkills" : [ "Program management", "Timeline management", "Cross-functional coordination", "Priority management" ], "domainKnowledge" : "Logistics; Supply chain; Business performance; Operational metrics", "domainList" : [ "logistics", "supply-chain", "business-performance", "operational-metrics" ], "domainSpecificKnowledge" : [ "Logistics", "Supply chain", "Business performance", "Operational metrics" ], "toolProficiency" : [ "Excel", "Pivot Tables", "Macros", "SQL", "Tableau", "Quicksight" ], "communicationSkills" : "Executive-level narratives; Business reviews; Data stories", "documentationSkills" : "Executive-level narratives", "problemSolvingSkills" : "Dive deep into data; Identify trends; Identify risks; Identify opportunities", "outcomesObjectives" : "Drive decisions; Ensure shared understanding", "qualificationsBasic" : "5+ years program management, Experience using data, Own program strategy, Experience in verbal and written communication, Experience in capacity planning, Experience in operations planning, Experience in business analysis, English-language communication skills, Experience managing business review cadences", "qualificationsPreferred" : "Master's degree, Experience working directly with senior executives, Experience in transportation and supply chain, Experience with data analysis tools, Experience with planning, Experience with performance metrics, Experience with process improvement, Business level of Japanese", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ever wanted to be the person who connects the dots between strategy and execution for an entire logistics organization? This role puts you at the center of it all. As our Sr. Planning, Reporting & Analytics PM, you'll be the driving force behind how we plan, measure, and communicate our business performance. You'll own every major planning cycle, from annual operating plans to quarterly goal-setting, and every business review that lands in front of our senior leaders. When a VP or Director needs to understand where we stand, where we're headed, and what we need to do next, they'll be looking at your work. This isn't a behind-the-scenes role. You'll be in the room, shaping the narrative, challenging assumptions, and turning complex data into clear, compelling stories that drive decisions. You'll orchestrate cross-functional alignment across teams, manage competing priorities, and ensure we're always operating with a shared understanding of our goals and performance. What you'll solve: - How do we translate long-term strategy into actionable plans that teams can execute against? - How do we create a single source of truth for business performance that leadership can trust and act on? - How do we ensure our reporting cadence drives accountability and surfaces the right insights at the right time? If you thrive on structure, love turning ambiguity into clarity, and write with the precision and persuasion needed to influence senior leaders, this is your role. Key job responsibilities - Planning Cycles: Own and orchestrate all annual and quarterly planning cycles: timeline management, cross-functional coordination, and final deliverable quality. - Business Reviews: Own preparation and delivery of all reporting cadences: data synthesis, narrative writing, and ensuring every review drives clear decisions for senior management audiences. - Document Ownership: Single-threaded owner for most external-facing documents. Write and edit executive-level narratives that are clear, concise, and bar-raising. - Analytics & Insights: Build reporting mechanisms that surface the right metrics at the right cadence. Dive deep into data to identify trends, risks, and opportunities. - Cross-Functional Coordination: Act as the connective tissue between operations, finance, product, and technology teams, managing competing priorities across peak planning periods. A day in the life Your day revolves around keeping leadership informed and the business on track. You might be writing the narrative for a weekly business review, chasing inputs from operations and finance, or orchestrating a planning cycle with tight deadlines and competing stakeholders. When numbers don't add up, you dive deep. Your customers are senior leaders who rely on your work to make decisions — when they walk into a review feeling prepared, that's your impact. About the team Easy Ship is Amazon's managed delivery solution for Marketplace sellers. We pick up packages directly from sellers and deliver them to customers through Amazon's logistics network. For sellers, it means they can focus on their products instead of managing carriers. For customers, it means faster, more reliable delivery with full visibility. We're still early. The business is growing fast, and we're building the playbook as we go, building processes, mechanisms, tools, and the operational foundations that will scale this service across the country. That means less bureaucracy, more ownership, and real impact on decisions that shape the business. Basic Qualifications: - 5+ years of program or project management experience - Experience using data and metrics to determine and drive improvements - Experience owning program strategy, end to end delivery, and communicating results to senior leadership - Experience in verbal and written communication for executive level leaders - Experience in capacity planning, operations planning, business analysis or similar - Experience in English-language communication skills, both written and verbal - Experience managing business review cadences or equivalent recurring reporting mechanisms Preferred Qualifications: - Master's degree, or MBA in supply chain, business, engineering, finance or related technical or quantitative field - Experience working directly with senior executives and leadership teams - Experience in transportation and supply chain - Experience with data analysis tools such as Excel, Pivot Tables, macros, SQL, visualization tools - Tableau, Quicksight, etc. - Experience with planning, performance metrics, and process improvement - Business level of Japanese Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Sr. Planning, Reporting & Analytics Program Manager at Amazon Japan G. K.. Skills: Planning, Reporting, Analytics, Program management. Own and orchestrate planning cycles. Manage timelines", "postedDate" : "2026-06-13T09:00:06.854", "createdAt" : "2026-06-13T09:00:06.854", "lastUpdated" : "2026-06-15T00:56:21.007", "ingestTimestamp" : "2026-06-13T09:00:06.854", "mongoId" : "6a2176f474d8ee00a0c1b5e7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10436671/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting mechanisms", "Performance metrics", "Leadership", "Planning", "Reporting", "Analytics", "Program management", "Business analysis", "Capacity planning", "Operations planning", "Data synthesis", "Narrative writing", "Process improvement", "Timeline management", "Cross-functional coordination", "Priority management", "Logistics", "Supply chain", "Business performance", "Operational metrics", "Excel", "Pivot Tables", "Macros", "SQL", "Tableau", "Quicksight" ], "skillCount" : 27, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68b706977fc9a711f0f6f5fd", "title" : "Business Intelligence Engineer, Intel & Reporting", "company" : "Amazon Data Services, Inc.", "industry" : "Corporate Operations, Business Intel Engineer, Cloud Computing", "salary" : { "min" : 89600.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T06:16:14.176", "fingerprint" : "bd731ba76875bc86b3c50b77737cef3d83029e1686db502258da240c98f856d7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3053610/apply", "externalId" : "5baa0a52-04e4-4027-9459-d99421b8831c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. The Global Network Deployment (GND) organization is looking to hire an experienced Business Intelligence Engineer to join our Intel & Reporting team (I&R) to support GND’s fast growing operations. The GND organization owns the delivery of physical network infrastructure for core data centers and Edge points-of-presence (PoPs) globally through planning, deployment, and process optimization. This role will own data analytics projects from beginning to end, utilizing business intelligence tools to produce dashboard, planning models, and analysis for the different GND verticals. You will work with demand planning, finance, networking, and other BI teams across AWS to deliver high quality and robust data visualizations and analyses. You will recognize and adopt best practices in reporting and analysis, including data integrity, data validation, and documentation. Your analysis will contribute deeply to the development of our strategy and drive impact against our business objectives. Some travel expected. Key job responsibilities - Establish baseline metrics and analytics. Collaborate with business customers and the leadership team to track and report all key performance indicators (KPI) against annual, quarterly and monthly goals. - Interface with business customers, gathering requirements and delivering complete reporting solutions. - Publish and maintain Tableau dashboards, reports, and executive review documents. - Identify patterns in data and how they relate to the business outcomes. - Act as an SME for BI tools by delivering training to team members on the usage of these tool. - Perform regular system audits to ensure complete and accurate reporting of data/metrics. - Invent new ways to define and measure program effectiveness and organizational productivity. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. The Intel & Reporting (I&R) team within the Global Network Deployment (GND) org is responsible for the creation and communication of operational and financial metrics to drive efficiencies within the different GND verticals. This is achieved by identifying areas of opportunity, performing deep dive analysis, and providing our customers with tools, dashboards, and reports that influence business direction. Basic Qualifications: - 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 5+ years of relevant experience in data analysis, data visualization, financial modeling, and/or statistical modeling - 5+ years of experience in SQL and manipulating large data sets in a database - 5+ years of advanced proficiency in Excel (including VBA, Pivot Tables, Power Pivots, etc) and data analytics tools such as Quicksight or Tableau - Bachelor's degree in Business, Finance, Math, Engineering, Computer Science, or related discipline; or 8+ years of relevant industry experience Preferred Qualifications: - Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - Experience with data modeling, warehousing and building ETL pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Business Intelligence Engineer, Intel & Reporting at Amazon Data Services, Inc.", "postedDate" : "2026-06-13T18:40:34.554", "createdAt" : "2026-06-13T18:40:34.554", "lastUpdated" : "2026-06-15T06:16:14.176", "ingestTimestamp" : "2026-06-13T18:40:34.554", "mongoId" : "68b706977fc9a711f0f6f5fd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3053610/apply", "salaryAnnualMin" : 89600, "salaryAnnualMax" : 185000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc34474d8ee00a0a08de7", "title" : "Product Marketing Manager, Competitive & Market Intelligence", "company" : "Owner", "industry" : "Marketing & Media", "salary" : { "min" : 135000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - United States", "locations" : [ "Remote - United States", "Remote - Canada" ], "timestamp" : "2026-06-16T00:31:26.590", "fingerprint" : "f9dface505d45fa76341c13a8f02511f80afe8f65d74f878c340f674a948e085", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/owner/e3fef65b-10fe-41e3-b1b4-b7b4758a103f/application", "externalId" : "e3fef65b-10fe-41e3-b1b4-b7b4758a103f", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Market intelligence", "Sales enablement", "Market research", "Competitive analysis", "Strategic recommendations", "Positioning decisions" ], "hardSkillsList" : [ "Win/loss analysis", "Data analysis", "Qualitative analysis", "Quantitative analysis" ], "hardSkills" : [ { "name" : "Win/loss analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" } ], "majorSkills" : "Competitive intelligence, Market insights, Product marketing, Sales enablement", "majorSkillsList" : [ "Competitive intelligence", "Market insights", "Product marketing", "Sales enablement" ], "coreResponsibilities" : "Build competitive intel system, Run competitive intel system, Gather real proof, Turn intel into points of view, Give crisp guidance, Build market intel system, Run market intel system, Ship monthly update, Own win/loss view, Turn intel into deal enablement, Create battlecards, Create objection handling, Create competitive frames, Run trainings, Run enablement sessions, Run recurring market research, Maintain proof points backlog, Drive evidence collection", "teamCollaboration" : "Sales and Sales Enablement; RevOpsizOps; Product", "domainKnowledge" : "AI upside", "domainList" : [ "ai-upside" ], "domainSpecificKnowledge" : [ "AI upside" ], "communicationSkills" : "Deal-ready enablement; Crisp guidance", "documentationSkills" : "Battlecards; Objection handling", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Drive more direct orders; Drive more profit", "qualificationsBasic" : "5+ years in Product Marketing, 5+ years competitive intelligence, 5+ years market insights, Proven SaaS marketing experience, Created competitive narratives, Created sales enablement tools, Run repeatable intel cadence, Work with RevOpsizOps, Write with precision", "qualificationsPreferred" : "AI upside obsession", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Owner Owner is the AI-native system local business owners use to succeed, starting with restaurants. We’re building the system that replaces the many tools owners use to run their business. It powers everything from the restaurant’s website, online ordering, CRM, POS, and more. Product philosophy Most small business software makes owners do the work to get what they want: sales growth and profit growth. Owner does the work for them agentically. Our system drives demand, converts it, and helps operators run their business day to day. As it improves, the business improves with it. Using Owner should feel like having a team of great operators, engineers, and marketers working for you. Our vision We’re starting by helping independent restaurants succeed online. But it’s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive. Once we nail the solution for restaurants – we’ll scale it into every other local business type. In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age. Read our Series C memo here → https://www.owner.com/c Our traction Since 2020, we've generated tens of millions in revenue and processed over a billion dollars of online orders. 1 in 5 Americans have used an Owner.com http://Owner.com website. More importantly, we’ve helped over 20,000 restaurant owners, and saved them nearly $200 million in fees. Our team Our team is now in the low hundreds. We’ve got top talent from the most successful companies in SMB software, including: Shopify, HubSpot, DoorDash, ServiceTitan, Rappi, Faire and Stripe. We’ll be scaling even faster in 2026 to keep pace with our customer growth. Where we work Owner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. For a few of our roles we prioritize in-person collaboration at one of our office locations. Most of our teammates are distributed throughout the globe. Please review the role description and discuss with your recruiter for more details on location! Why we’re looking for you Owner is a performant product that restaurant owners love. (Check out our reviews https://www.g2.com/products/owner-com/reviews?utf8=%E2%9C%93&order=most_recent!) The best way to sell Owner isn’t a feature checklist—it’s proof. Restaurant owners don’t want tech jargon. They want a clear, simple case for how Owner will drive more direct orders and more profit. Our market moves fast. Leading competitors change pricing, packaging, and positioning all the time. New plays show up in deals before they show up anywhere else. If we’re late, we end up reacting instead of leading the conversation. That’s where you come in. You’ll build and run our competitive and market intelligence system. You’ll gather real proof (quant + qual), turn it into clear points of view, and give customer-facing teams crisp guidance they can use to win deals. This role is fully remote and can be based out of the United States or Canada. The impact you’ll have - Build and run a competitive + market intel cadence with a proof-backed source of truth. - Ship a monthly “what changed” update that’s evidence-based and easy to learn from. - Partner with RevOps to own a clean win/loss-by-competitor view. E.g., dashboard + monthly readout for leaders. - Turn intel into deal-ready enablement: battlecards, objection handling, and a small set of durable competitive frames that show up on calls. - Run trainings and live enablement sessions that actually change how Sales talks about our product. - Run recurring market research so our messaging stays grounded in what restaurants care about. - Maintain a living “proof points” backlog and drive collection of the evidence we need to win competitive arguments. Who you’ll work with - This role reports to our Director of Product Marketing - Sales and Sales Enablement (your primary partners) - RevOps/BizOps (data, dashboards, definitions) - Product (market signal → positioning and build decisions) What we’re looking for - 5+ years in Product Marketing with a focus in competitive intelligent and market insights. - Proven SaaS marketing experience in product marketing, competitive/market intelligence, sales enablement, or a closely related role. - You’ve created competitive narratives and tools that changed what reps said in deals. - You can run a repeatable intel cadence (capture → analyze → publish → train → refresh) and keep it alive. - You can work with RevOps/BizOps to make win/loss real: clean definitions, usable dashboards, and trusted readouts. - You write with precision: short, specific, and built for a rep mid-call. - You’re comfortable being “the person who knows”: you chase proof, you call issues early, and you push for a response. - You’re obsessed with AI upside. You currently use AI to move faster without sacrificing accuracy. Interview Process Recruiter Screen — 30-minute phone call to align on your background, what you're looking for, and answer any early questions Hiring Manager Screen — 45-minute video interview with the hiring manager to go deeper on your experience, strategic thinking, and how you partner cross-functionally Case Study — A high-level exercise focused on how you approach market research, competitive analysis, and strategic recommendations Paid Project — A compensated project that gives you an opportunity to work through a real-world problem similar to what you’d tackle in the role Marketing Leadership Interview — Video interview with senior marketing leaders covering your skills, approach, how you'd show up in the role, and cross-functional collaboration Final Round — 30-minute conversation with a C-suite executive to discuss vision, team fit, and long-term impact in the role Pay and benefits - The estimated base salary range for this role is $135,000 - $165,000 plus a generous pre-IPO equity package - Other benefits include comprehensive health coverage, remote-first workplace, unlimited PTO - plus extra fun perks! Notice - Employment Scams Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address. We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers or banking information. If you believe you are being contacted by a scammer, please mark the communication as \"phishing\" or “spam” and do not respond.", "summaryDescription" : "Product Marketing Manager, Competitive & Market Intelligence at Owner. Skills: Competitive intelligence, Market insights, Product marketing, Sales enablement. Build competitive intel system. Run competitive intel system", "createdAt" : "2026-06-14T17:32:39.153", "lastUpdated" : "2026-06-16T00:31:26.590", "ingestTimestamp" : "2026-06-14T17:32:39.153", "mongoId" : "6a2cc34474d8ee00a0a08de7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Win/loss analysis", "Data analysis", "Qualitative analysis", "Quantitative analysis", "Competitive intelligence", "Market insights", "Product marketing", "Sales enablement", "Market intelligence", "Market research", "Competitive analysis", "Strategic recommendations", "Positioning decisions", "AI upside" ], "skillCount" : 14, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "69e104382beec4dd3def197e", "title" : "Campaign Manager", "company" : "Amazon Support Services Costa Rica SRL", "industry" : "Sales, Advertising, Account Management", "salary" : { "min" : 2.2E7, "max" : 3.2E7, "currency" : "CRC", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Campaign Manager in Heredia, Costa Rica, adjusted for the technology industry and a large company size." }, "location" : "Heredia, Heredia, CRI", "locations" : [ "Heredia, Heredia, CRI" ], "timestamp" : "2026-06-15T00:01:04.976", "fingerprint" : "9c3ab5170ce85375f6de7f525db3812ab091f60cc314fb5ce1b5bb6326a1f006", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387558/apply", "externalId" : "dcdc93f7-a8b6-40db-9f72-4c98beb9b37e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Heredia", "state" : "Heredia", "country" : "Costa Rica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "9.9984272,-84.1171215" } ], "locationText" : "Heredia, Heredia, Costa Rica", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceLevel" : "Manager", "technicalSkills" : "HTML5, Rich Media, DSP", "professionalSkills" : [ "Campaign management", "Advertiser education", "Insertion Order processing", "Campaign set-up", "Trafficking", "Troubleshooting", "Lead time compliance", "Creative asset management", "Pixel trafficking", "Design process", "Testing", "Compliance", "Campaign audits", "Quality assurance", "Go-live workflows", "User experience validation", "Technical issues", "Billing process", "Reconciliation process", "Invoicing", "Information security", "Advertising policies", "Client relationships", "Process improvement", "Product improvement", "Workflow improvement" ], "hardSkillsList" : [ "Data analysis", "Performance assessment" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Performance assessment", "level" : "intermediate" } ], "majorSkills" : "Campaign execution, Campaign optimization, Advertiser success", "majorSkillsList" : [ "Campaign execution", "Campaign optimization", "Advertiser success" ], "coreResponsibilities" : "Drive execution of advertising campaigns, Manage end-to-end campaign lifecycle, Oversee creative assets, Oversee pixel trafficking, Facilitate design process, Ensure functionality through testing, Execute campaign audits, Execute quality assurance processes, Manage troubleshooting of technical issues, Manage billing process, Manage reconciliation process, Ensure accurate invoicing, Maintain compliance with protocols, Manage designated client relationships, Provide strategic support, Identify process gaps, Identify product gaps, Develop workflow improvement projects, Manage complex advertising campaigns, Conduct quality assurance, Troubleshoot technical issues, Ensure compliance with specifications, Deliver results", "teamCollaboration" : "Cross-functional partnership; Partner with cross-functional teams; Work with stakeholders", "domainKnowledge" : "Digital advertising; eCommerce advertising; Amazon's properties; Amazon's devices; Alexa; Fire TV; Prime Video Ads; Live Sports Sponsorships; Amazon's programmatic DSP; Advertising platforms; Creative tools; Programmatic advertising", "domainList" : [ "digital-advertising", "ecommerce-advertising", "amazon-s-properties", "amazon-s-devices", "alexa", "fire-tv", "prime-video-ads", "live-sports-sponsorships", "amazon-s-programmatic-dsp", "advertising-platforms", "creative-tools", "programmatic-advertising" ], "domainSpecificKnowledge" : [ "Digital advertising", "eCommerce advertising", "Amazon's properties", "Amazon's devices", "Alexa", "Fire TV", "Prime Video Ads", "Live Sports Sponsorships", "Amazon's programmatic DSP", "Advertising platforms", "Creative tools", "Programmatic advertising" ], "toolProficiency" : [ "MS Office", "Salesforce" ], "communicationSkills" : "Stakeholder communication; Escalation paths", "innovationCreativity" : "Drive innovation; Think big", "problemSolvingSkills" : "Problem-solving; Troubleshooting technical issues; Manage campaign blockers autonomously", "outcomesObjectives" : "Contribute to customer satisfaction; Optimize advertiser campaign experience; Protect Amazon's end customer experience; Maintain customer obsession; Maintain high quality standards; Ensure lead time compliance; Ensure timely stakeholder updates; Ensure functionality through testing; Ensure compliance with protocols; Deliver results that drive advertiser success", "qualificationsBasic" : "2+ years digital advertising, 2+ years client facing roles, Experience analyzing data, Experience with programmatic advertising, Hands-on service in DSPs", "qualificationsPreferred" : "Experience with annual brand planning, Experience with media planning, Bachelor's degree in Advertising, Proficiency with advertising platforms, Proficiency with creative tools, Adaptable and quick to learn, Self-directed, goal-oriented, Enjoy working in fast-paced environment, Enjoy working in ambiguous environment, Excellent organization skills, Excellent relationship-building skills, Excellent communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon Advertising, we operate at the intersection of advertising and eCommerce to offer advertisers a rich array of media solutions across Amazon’s mobile and desktop websites, proprietary devices and placements including Alexa and Fire TV, Prime Video Ads, Live Sports Sponsorships, and Amazon's programmatic Demand Side Platform (DSP). We are seeking a highly motivated Campaign Manager who is passionate about actively contributing to our continued customer satisfaction through executing end-to-end (E2E) campaign operations and working strategically with partner teams to optimize the advertiser campaign experience while also protecting Amazon's end customer experience. Key job responsibilities * Drive execution of complex advertising campaigns across Amazon's properties, through cross-functional partnership (Design, Campaign & Creative Management, Sales, Account Management, Ad Operations, Ad Policy) while maintaining customer obsession and high quality standards. * Manage the end-to-end campaign lifecycle, including advertiser education, Insertion Order processing, campaign set-up, trafficking, and troubleshooting, while ensuring lead time compliance and timely stakeholder updates. * Oversee 1P and 3P creative assets and pixel trafficking, facilitating the design process with Amazon-built creative and ensuring functionality through thorough testing and compliance. * Execute comprehensive campaign audits and quality assurance processes, including go-live workflows, screenshot verification, and user experience validation, while managing the troubleshooting of technical issues throughout the campaign lifecycle. * Manage the full billing and reconciliation process for advertising campaigns, ensuring accurate and timely invoicing to clients, while maintaining compliance with information security protocols and Amazon advertising policies. * May manage designated client relationships, provide strategic support and identify process/product gaps to contribute to continuous improvement initiatives A day in the life Campaign Managers execute end-to-end campaign operations across Amazon's advertising platforms with precision and customer focus. In this role, you will partner closely with cross-functional teams to ensure seamless campaign launches while maintaining high quality standards. You will drive innovation in campaign execution through developing and managing workflow improvement projects with cross-functional stakeholders to improve efficiency. Your day involves managing complex advertising campaigns, conducting thorough quality assurance, and troubleshooting technical issues. You'll be responsible for accurate campaign setup, billing management, and reconciliation while serving as a point of contact for select advertisers. Campaign Managers maintain strong attention to detail in creative asset management, ensuring compliance with platform specifications and security protocols, while consistently delivering results that drive advertiser success. The role requires strong communication skills, effective problem-solving, and the ability to manage campaign blockers autonomously while maintaining appropriate stakeholder communication and escalation paths. About the team Amazon Ads helps brands create experiences that delight customers and deliver meaningful results. Our ad solutions—including sponsored, display, video, audio, and custom ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journey. With a range of flexible pricing and buying models, including managed services and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. We start with the customer and work backwards in everything we do, including advertising. Our team provides a fast-paced environment that thrives on creativity, experimentation, and innovation; you will grow and broaden your skills as a leader through continual opportunities to think big and deliver results. We have a broad mix of experience levels and tenure that help us foster an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to provide opportunities that will help each team member develop and expand their skillset and enable them to take on more complex tasks in the future. At Amazon Ads, we embrace our differences and are committed to furthering our culture of inclusion. We have employee-led affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. Amazon’s culture of inclusion is reinforced within our Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Basic Qualifications: - 2+ years of digital advertising and client facing roles experience - Experience analyzing data and best practices to assess performance drivers - Experience in programmatic advertising and providing hands-on service in DSPs Preferred Qualifications: - Experience with annual brand and media planning - Bachelor's degree in Advertising or related field - Proficiency with advertising platforms and creative tools, including MS Office, HTML5, Rich Media, Salesforce, DSP and related technologies - Adaptable and quick to learn new processes and tools, demonstrating strong technical/operational capabilities. - Self-directed, goal-oriented and flexible, enjoying working in a fast-paced and at times ambiguous environment. - Excellent organization, relationship-building and communication (written and verbal) skills. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Campaign Manager at Amazon Support Services Costa Rica SRL. Skills: Campaign execution, Campaign optimization, Advertiser success. Drive execution of advertising campaigns. Manage end-to-end campaign lifecycle", "postedDate" : "2026-06-13T01:42:52.657", "createdAt" : "2026-06-13T01:42:52.657", "lastUpdated" : "2026-06-15T00:01:04.976", "ingestTimestamp" : "2026-06-13T01:42:52.657", "mongoId" : "69e104382beec4dd3def197e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10387558/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Performance assessment", "Campaign execution", "Campaign optimization", "Advertiser success", "Campaign management", "Advertiser education", "Insertion Order processing", "Campaign set-up", "Trafficking", "Troubleshooting", "Lead time compliance", "Creative asset management", "Pixel trafficking", "Design process", "Testing", "Compliance", "Campaign audits", "Quality assurance", "Go-live workflows", "User experience validation", "Technical issues", "Billing process", "Reconciliation process", "Invoicing", "Information security", "Advertising policies", "Client relationships", "Process improvement", "Product improvement", "Workflow improvement", "Digital advertising", "eCommerce advertising", "Amazon's properties", "Amazon's devices", "Alexa", "Fire TV", "Prime Video Ads", "Live Sports Sponsorships", "Amazon's programmatic DSP", "Advertising platforms", "Creative tools", "Programmatic advertising", "MS Office", "Salesforce" ], "skillCount" : 45, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3051ccf292fd229cf06f05", "title" : "Manager - Analytics", "company" : "Glance", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager - Analytics in Bangalore, India, adjusted for the technology industry and company size." }, "location" : "Bangalore, Karnataka, India", "locations" : [ "Bangalore", "Karnataka", "India" ], "timestamp" : "2026-06-16T07:42:17.077", "fingerprint" : "baa5b03b4592b8424c3cd5750aa62b69c77846415fe485b6022b97405e16a04b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/glance/jobs/7984361", "externalId" : "7984361", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "experienceLevel" : "Manager", "rawDescription" : "Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google’s most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world’s leading smartphone makers, connected TV manufacturers, telecom providers, and global brands — meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI’s rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. What is the role about? Manager Analytics is an Individual Contributor role where you would be involved in identifying complex fuzzy problems, breaking them down into smaller parts and implementing creative, data-driven solutions. You would be responsible for defining, tracking and improving key metrics and communicating business trends to stakeholders. What will you be doing? You will model data in order to create reporting infrastructure/dashboards for business process management and data mining You will be closely working with the business/product teams to enable data driven decision making. You will execute quantitative analysis that translates data into actionable insights You will drive data driven decision making through the stakeholders You will influence new opportunities for business based on internal/ external data You will drive the team to adopt new and innovative ways of solving business problems What is expected out of you? Educational/ Work Qualifications Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 5+ Years of experience in advanced analytics, python scripting. Required abilities / competencies: Ability to breakdown any problem into components that can be collaboratively solved Ability to negotiate on the scope of the problem through business understanding Penchant for business and persistence to work with data to derive insights Experience in analyzing very large, complex, multi-dimensional data sets Ability to find innovative solutions to mitigate dependencies and risks for deliverables Ability to independently plan and execute deliveries Exceptional written and verbal communication skills Ability to multitask and work on a diverse range of requirements Technical capabilities: Expertise in SQL, Excel, other scripting languages (R, Python, etc.) Good background in statistical modelling and experience with statistical tools such as R, Python, Spark Working experience with BI tools(Power BI, Superset) \"Glance collects and processes personal data such as your name, contact details, resume and other information that may contain personal data for the purpose of processing your application. Glance utilizes Greenhouse, a third-party platform. Please review Greenhouse's Privacy Policy to understand how the data collected from you is processed and managed. By clicking on 'Submit Application', you acknowledge and agree to the above privacy terms. Should you have any privacy concerns, you may contact us through the details mentioned in your application confirmation email.\"", "summaryDescription" : "Manager - Analytics at Glance", "postedDate" : "2026-06-15T23:19:48.062", "createdAt" : "2026-06-15T23:19:48.062", "lastUpdated" : "2026-06-16T07:42:17.077", "ingestTimestamp" : "2026-06-15T23:19:48.062", "mongoId" : "6a3051ccf292fd229cf06f05", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c941a74d8ee00a0989afc", "title" : "Senior Systems Analyst – Reporting & EDI Analytics", "company" : "ASSYST, Inc.", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Systems Analyst in the Healthcare industry in India, adjusted for seniority and full-time employment." }, "location" : "Client Location", "locations" : [ "Client Location" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:05:35.317", "fingerprint" : "529ec775ca0e3d08d2a7e329162a447a6dfb05db17f45c5ba1fd2fe68b99dab4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/assystinc/jobs/4272815009", "externalId" : "4272815009", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "onsite" } ], "locationText" : "", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data engineering", "ML engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "Machine learning", "Data modelling" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Data modelling; Regression; Classification; Clustering; Time-series analysis; A/B testing; Causal inference; AWS services; GCP services; Azure services", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "data-modelling", "regression", "classification", "clustering", "time-series-analysis", "a-b-testing", "causal-inference", "aws-services", "gcp-services", "azure-services" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Data modelling", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "AWS services", "GCP services", "Azure services" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, Bachelor's degree in Statistics, Bachelor's degree in Computer Science, Bachelor's degree in Mathematics, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake", "rawDescription" : "ASSYST is seeking an experienced Senior Systems Analyst – Reporting & EDI Analytics to support our client by designing, developing and maintaining complex reports, dashboards, data extracts and analytical solutions. This role is responsible for transforming business and operational data into actionable insights while supporting Electronic Data Interchange (EDI) analysis and data validation activities. The ideal candidate will have strong expertise in SQL, reporting tools, data analysis, dashboard development and healthcare-related data environments. Roles & Responsibilities: Design, develop, implement and maintain complex operational and federally mandated reports. Analyze reporting requirements and identify effective approaches for report generation, dashboard development and data extraction solutions. Develop complex SQL queries, stored procedures and data extraction processes using PostgreSQL and other database platforms. Create interactive reports and dashboards using Tableau, Power BI, or equivalent reporting tools. Identify opportunities to securely share and distribute data across internal and external stakeholders. Perform data analysis and interpretation to support management decision-making, policy development and operational reviews. Evaluate data quality and system functionality using database applications and analytical tools. Analyze business processes and translate reporting requirements into data-driven solutions, reports and dashboards. Collaborate with cross-functional teams in a fast-paced environment to deliver reporting and analytical solutions. Perform Medicaid 8001 Flat File validation and analysis. Review Member Person Index (MPI) records for SSN matching and Master Data Management (MDM) validation. Conduct HBX system error analysis, validate 1095-A and 1095-B files and reconcile Medicaid 8001 transactions. Support development, testing and EDI operations teams by analyzing, troubleshooting, testing and transmitting EDI files on a daily basis. Create data change requests to resolve consumer-reported and system-generated errors. Coordinate with technical and business teams to analyze error reports and perform root cause analysis for transaction rejections. Access and analyze application and database data to identify and resolve system issues. Ensure compliance with all security, change management, project governance and operational procedures. Required Skills & Qualifications: Required Experience: Minimum 5 years of experience in data extraction, data analysis, report generation and dashboard development. Minimum 5 years of experience developing complex SQL queries, stored procedures and custom reports within large-scale IT environments. Minimum 5 years of experience developing reports and dashboards using Tableau, Power BI, or similar reporting platforms. Minimum 2 years of experience translating business requirements into meaningful dashboards and data visualizations. Experience designing, implementing and maintaining reporting databases and data warehouses. Strong understanding of data modeling, data warehousing and ETL processes. Excellent analytical, problem-solving, communication and stakeholder management skills. Ability to manage multiple priorities and deliver results within tight deadlines. Preferred Qualifications: 8+ years of hands-on experience designing and developing complex SQL queries, stored procedures and reporting solutions. 4+ years of experience working with PostgreSQL databases for reporting and4+ years of experience developing advanced Tableau dashboards and analytical reports.. Extensive knowledge of data sources, data flow, system integrations and advanced reporting methodologies. Experience supporting health insurance marketplaces, healthcare organizations, or Health and Human Services programs. Hands-on experience with data visualization, report automation and advanced data analytics. Familiarity with web technologies such as HTML, CSS and JavaScript. Experience with programming languages such as Python, Java, or equivalent technologies. Knowledge of EDI transaction sets including 834, 820 and 999. Understanding of Medicaid and Qualified Health Plan (QHP) eligibility processes. Knowledge of EDI 834 enrollment transactions, including Adds, Terminations, Cancellations and Life Event processing. ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law.", "summaryDescription" : "Senior Systems Analyst – Reporting & EDI Analytics at ASSYST, Inc.. Skills: Data science, Data engineering, Machine learning, Business intelligence", "postedDate" : "2026-06-14T18:34:38.882", "createdAt" : "2026-06-14T18:34:38.882", "lastUpdated" : "2026-06-16T06:05:35.317", "ingestTimestamp" : "2026-06-14T18:34:38.882", "mongoId" : "6a2c941a74d8ee00a0989afc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Machine learning", "Data modelling", "Data science", "Data engineering", "Business intelligence", "ML engineering", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "AWS services", "GCP services", "Azure services", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 56, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30545ef292fd229cf17a42", "title" : "Manager Tax Reporting", "company" : "BDO", "industry" : "Accounting", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager Tax Reporting in Eindhoven, Netherlands, adjusted for the consulting industry and company size." }, "location" : "Eindhoven, NB, Netherlands", "locations" : [ "Eindhoven", "NB", "Netherlands" ], "certifications" : [ "Lidmaatschap NOB" ], "timestamp" : "2026-06-16T06:31:29.918", "fingerprint" : "07736be0db7defc99fed4952de98b2f62889d750d566fbbd9391ddc0ecd774ca", "source" : "smartrecruiters", "language" : "nl", "applyUrl" : "https://jobs.smartrecruiters.com/BDO4/744000132131681-manager-tax-reporting-", "externalId" : "744000132131681", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Eindhoven", "state" : "North Brabant", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.4392648,5.4786330" } ], "locationText" : "Eindhoven, North Brabant, Netherlands", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Tax accounting", "Tax compliance", "Advising" ], "hardSkillsList" : [ "Tax reporting" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Tax reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Tax reporting, Tax accounting", "majorSkillsList" : [ "Tax reporting", "Tax accounting" ], "coreResponsibilities" : "Manage tax reporting processes, Advise international companies, Manage client relationships, Make impact on transactions, Determine fiscal positions, Guide junior specialists, Contribute to practice development", "teamCollaboration" : "Work with partners; Work with colleagues; Work across disciplines", "domainKnowledge" : "International tax reporting", "domainList" : [ "international-tax-reporting" ], "domainSpecificKnowledge" : [ "International tax reporting" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Master's fiscaal recht, Master's fiscale economie, Lidmaatschap NOB, 5+ years experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Aandacht kunnen geven aan wat jij echt belangrijk vindt en zo het verschil maken. BDO International Tax Reporting Services is de plek waar jij dit samen met jouw collega’s doet. Zo houdt de praktijk zich bezig met tax compliance, tax accounting en daaraan verwante advisering aan internationaal opererende bedrijven. Hierbij maken wij gebruik van ons wereldwijde BDO netwerk. Als Manager Tax Reporting ben jij de specialist voor jouw klanten in hoogwaardige en effectieve tax accounting processen. Je hebt veel contact met klanten en weet dit om te zetten in een optimale relatie en daarbij impact te maken op tansacties en het vaststellen van fiscale posities. Verder zet jij jouw ervaring en leiderschap in bij het begeleiden van minder ervaren specialisten door je ervaring in te brengen. Je werkt intensief samen met partners en collega’s in alle functielagen en uit verschillende disciplines om samen de klanten optimaal te kunnen bedienen. Je levert een actieve bijdrage aan de verdere ontwikkeling van de internationale tax reporting praktijk in Nederland, maar ook over de grens. Hierbij maak je onderdeel uit van een grote landelijke praktijk en werk je vanuit regio Zuid. Daardoor zijn ontwikkeling en groei naar senior manager mogelijk en kun jij datgene doen waar jouw wensen en ambities liggen. Nú is jouw moment om een bijdrage te leveren. Een bijdrage waar klanten, onze maatschappij en de mensen om je heen echt iets aan hebben. Kom bij BDO. Samen met onze klanten en ruim 3.000 gedreven collega’s maken we impact. Met elkaar maken we deel uit van een wereldwijd netwerk. Midden in Strijp-S vind je veel cultuur, innovatie én ons Eindhovense kantoor. Hiervandaan werken circa 250 professionals. Zij omschrijven zichzelf als creatief, rustig en sportief. Over sportief gesproken: tijdens de jaarlijkse marathon van Eindhoven is er een eigen BDO-fanzone om de sporters aan te moedigen. Maar daarnaast kun je ook werken op een van onze andere kantoren in de regio. Hiermee voeg jij waarde toe Bij BDO hebben we oog voor wie jij bent. Wat jij kan. Waarin je als professional nog verder kunt groeien. Dat maakt ons dus vooral nieuwsgierig naar jou. Hoe zet jij bijvoorbeeld jouw overtuigingskracht en analytisch vermogen in als Manager Tax Reporting? Onder aan de streep is het ook belangrijk dat je beschikt over: * een afgeronde wo-master fiscaal recht of fiscale economie. * lidmaatschap voor de NOB. * minimaal 5 jaar ervaring. Echte waarde is meer dan geld Bij BDO kan je rekenen op een salaris dat past bij wat je doet én wat je kunt. Tel hierbij op: een mobiliteitsbudget. * 22 vakantiedagen + 10 flexdagen per kalenderjaar. Wil je nog meer vrije tijd? In overleg kun je extra flexdagen kopen. * invloed op de stappen die jij zet in jouw carrière. * een pensioenpremieregeling bij Nationale Nederlanden waar je 2% aan bijdraagt. Ook ben jij verzekerd voor een nabestaandenpensioen. Dit zijn nog maar de eerste 4 punten. Voor een compleet overzicht van de arbeidsvoorwaarden ga naar [werkenbijbdo.nl/arbeidsvoorwaarden](https://www.werkenbijbdo.nl/arbeidsvoorwaarden). Kom werken bij BDO en ga voor echte waarde Reageren op deze vacature? Natuurlijk. Heb jij eerst nog vragen? Marleen Maassen geeft je antwoord via + 31(0)40 269 8255 en/of [marleen.maassen@bdo.nl](mailto:marleen.maassen@bdo.nl). #LI-MM1", "summaryDescription" : "Manager Tax Reporting at BDO. Skills: Tax reporting, Tax accounting. Manage tax reporting processes. Advise international companies", "postedDate" : "2026-06-15T07:41:46.000", "createdAt" : "2026-06-15T23:34:10.332", "lastUpdated" : "2026-06-16T06:31:29.918", "ingestTimestamp" : "2026-06-15T23:34:10.332", "mongoId" : "6a30545ef292fd229cf17a42", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Tax reporting", "Leadership", "Tax accounting", "Tax compliance", "Advising", "International tax reporting", "Lidmaatschap NOB" ], "skillCount" : 7, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b4374d8ee00a0910f24", "title" : "Staff Analytics, Product & Marketing", "company" : "EarnIn", "industry" : "FinTech", "salary" : { "min" : 215000.0, "max" : 263000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, California, United States", "locations" : [ "Mountain View", "California", "United States" ], "timestamp" : "2026-06-16T01:10:19.088", "fingerprint" : "043ab32fd9448a8004b95cf62046870977c314421b43aeee401d291c508f19b7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/earnin/jobs/8001075", "externalId" : "8001075", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "SQL, Python, Experimentation, Statistical modeling, AI, LLMs, Automation, Uplift modeling, Causal inference, Databricks, Snowflake, Dbt, Amplitude, Looker", "professionalSkills" : [ "Analytics strategy", "Product analytics", "Growth analytics", "Causal measurement", "Experimentation frameworks", "Measurement approaches", "Modeling approaches", "Uplift modeling", "Causal inference", "Experimentation rigor", "Data modeling" ], "hardSkillsList" : [ "Analytics", "Data science", "Statistical modeling", "Experimentation", "Causal inference", "Uplift modeling", "Product analytics", "Growth analytics", "AI-driven workflows" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Data science", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Uplift modeling", "level" : "intermediate" }, { "name" : "Product analytics", "level" : "intermediate" }, { "name" : "Growth analytics", "level" : "intermediate" }, { "name" : "AI-driven workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Analytics strategy, AI-driven analytics, Product analytics, Growth analytics", "majorSkillsList" : [ "Analytics strategy", "AI-driven analytics", "Product analytics", "Growth analytics" ], "coreResponsibilities" : "Shape analytics strategy, Drive analytics strategy, Mentor the team, Develop the team, Collaborate with Marketing, Collaborate with Product, Collaborate with Engineering, Translate business needs, Build AI-driven pipelines, Surface insights proactively, Scale decision-making, Build AI-driven analytics agents, Automate workflows, Productionize systems at scale, Develop experimentation frameworks, Develop causal measurement frameworks, Develop product analytics frameworks, Design measurement approaches, Implement measurement approaches, Design modeling approaches, Implement modeling approaches, Develop deep understanding, Identify opportunities for growth, Identify risks for growth, Identify levers for growth, Communicate insights clearly, Influence product roadmaps, Influence marketing roadmaps", "teamCollaboration" : "Cross-functional partners; Product teams; Engineering teams; Marketing teams; Executives; Cross-functional leaders", "domainKnowledge" : "Earned wage access; Fintech; Consumer tech; Product analytics; Growth analytics; Acquisition; Activation; Engagement; Retention; Monetization; LTV; Paid surfaces; Owned surfaces; Product surfaces", "domainList" : [ "earned-wage-access", "fintech", "consumer-tech", "product-analytics", "growth-analytics", "acquisition", "activation", "engagement", "retention", "monetization", "ltv", "paid-surfaces", "owned-surfaces", "product-surfaces" ], "domainSpecificKnowledge" : [ "Earned wage access", "Fintech", "Consumer tech", "Product analytics", "Growth analytics", "Acquisition", "Activation", "Engagement", "Retention", "Monetization", "LTV", "Paid surfaces", "Owned surfaces", "Product surfaces" ], "toolProficiency" : [ "Databricks", "Snowflake", "Dbt", "Amplitude", "Looker" ], "communicationSkills" : "Storytelling; Technical audiences; Non-technical audiences", "innovationCreativity" : "AI-driven workflows; Automation", "problemSolvingSkills" : "Actionable insights; Identify opportunities; Identify risks; Identify levers", "outcomesObjectives" : "Drive user growth; Drive user engagement; Transform analytics operations; Scale decision-making", "qualificationsBasic" : "7+ years in analytics, 7+ years data science, Deep hands-on execution, SQL technical skills, Python technical skills, Experimentation technical skills, Statistical modeling technical skills, Experience building AI-driven analytics workflows, Solid background in product analytics, Solid background in growth analytics, Experience with causal inference, Experience with uplift modeling, Experience with experimentation frameworks, Ability to operate as high-leverage IC, Partner closely with executives, Partner closely with cross-functional leaders, Excellent communication skills, Excellent storytelling skills", "qualificationsPreferred" : "Experience in fintech a plus, Experience in consumer tech a plus, Experience in data-driven product organizations a plus, Familiarity with modern data stacks a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY We are seeking a Staff Analyst to partner closely with the CMO and product leadership to drive user growth and engagement. This leader will shape and drive the analytics strategy, mentor and develop the team, and collaborate cross-functionally with Marketing, Product, and Engineering to translate business needs into actionable insights. The primary goal of this position is to architect and build agentic workflows that transform how analytics operates: design AI-driven pipelines that work autonomously, surface insights proactively, and scale decision-making across the organization. You bring both the strategic vision to see where automation unlocks the most value, and the hands-on depth to get into the data and build it yourself. The Mountain View base salary range for this full-time position is $215,000 to $263,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View, requiring in-office work 2 days a week. WHAT YOU'LL DO Collaborate with Product, Engineering, Marketing, and cross‑functional partners to inform, influence, and execute strategy across product and growth surfaces. Build AI‑driven analytics agents that automate workflows such as experimentation readouts, funnel diagnostics, anomaly detection, and business reviews, and partner with Engineering to productionize these systems at scale. Develop and maintain experimentation, causal measurement, and product analytics frameworks that support acquisition, activation, engagement, retention, monetization, and LTV. Design and implement measurement and modeling approaches across paid, owned, and product surfaces, using uplift modeling, causal inference, and experimentation rigor (MMM optional). Develop a deep understanding of complex product and marketing systems to identify opportunities, risks, and levers for growth. Communicate insights clearly to technical and non‑technical audiences, influencing product and marketing roadmaps through data, modeling, and AI‑driven insights. WHAT WE'RE LOOKING FOR 7+ years in analytics, data science with deep hands‑on execution. Strong technical skills in SQL, Python, experimentation, and statistical modeling. Experience building AI‑driven analytics workflows (LLMs, agents, automation, or similar). Solid background in product and growth analytics across activation, engagement, retention, and monetization. Experience with causal inference, uplift modeling, and experimentation frameworks. Ability to operate as a high‑leverage IC who partners closely with executives and cross‑functional leaders. Excellent communication and storytelling skills for technical and non‑technical audiences. Experience in fintech, consumer tech, or data‑driven product organizations is a plus. Familiarity with modern data stacks (Databricks, Snowflake, dbt, Amplitude, Looker) is a plus #LI-Hybrid At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant. EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.", "summaryDescription" : "Staff Analytics, Product & Marketing at EarnIn. Skills: Analytics strategy, AI-driven analytics, Product analytics, Growth analytics. Shape analytics strategy. Drive analytics strategy", "postedDate" : "2026-06-14T18:33:18.417", "createdAt" : "2026-06-14T18:33:18.417", "lastUpdated" : "2026-06-16T01:10:19.088", "ingestTimestamp" : "2026-06-14T18:33:18.417", "mongoId" : "6a2c6b4374d8ee00a0910f24", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 263000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Analytics", "Data science", "Statistical modeling", "Experimentation", "Causal inference", "Uplift modeling", "Product analytics", "Growth analytics", "AI-driven workflows", "Leadership", "Mentoring", "Analytics strategy", "AI-driven analytics", "Causal measurement", "Experimentation frameworks", "Measurement approaches", "Modeling approaches", "Experimentation rigor", "Data modeling", "Earned wage access", "Fintech", "Consumer tech", "Acquisition", "Activation", "Engagement", "Retention", "Monetization", "LTV", "Paid surfaces", "Owned surfaces", "Product surfaces", "Databricks", "Snowflake", "Dbt", "Amplitude", "Looker" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a1e0f292fd229c116bc7", "title" : "Senior Systems Engineer, Commercial Intelligence and Analytics", "company" : "The Trade Desk", "salary" : { "min" : 103200.0, "max" : 189200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles", "locations" : [ "Los Angeles" ], "timestamp" : "2026-06-16T11:28:25.573", "fingerprint" : "d7e262297b8635fe92de83a9e768ba73a30f8a99e9e2492dc5e8510de2d3073a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/thetradedesk/jobs/5165087007", "externalId" : "5165087007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you. We are seeking a Senior Systems Engineer, Commercial Intelligence and Analytics to build high-impact analytical systems supporting TTD’s cross-functional teams, with a focus on Sales and Client Services. This role sits at the intersection of commercial analytics, applied intelligence, and go-to-market execution. You will identify system gaps, design solutions, and ship scalable data systems, insight pipelines, and automated workflows that support a broad set of internal stakeholders. Working across Commercial Operations, Revenue Operations, Business Technology, Finance, and related teams, you will help translate analysis into proactive signals that improve prioritization, decision-making, and field execution. This role owns the engineering lifecycle of intelligence systems from requirements and architecture through deployment, monitoring, and iteration. You will work closely with other teams to deliver clear, trusted, and actionable intelligence that improves seller focus, client outcomes, and the overall client experience at TTD. What we do Commercial Operations is composed of closely connected functions that help TTD grow revenue in a disciplined, scalable, and data-driven way. Across these teams, we improve visibility, standardize key metrics, strengthen decision support, and help client-facing teams act with greater precision and consistency. Within this organization, Commercial Intelligence and Analytics turns commercial, product, and client data into insight products that support internal teams and improve how TTD serves, grows, and retains clients. We build data pipelines, signal frameworks, and decision-support systems that help Sales and Client Services teams understand portfolio health, prioritize effort, identify risk and opportunity earlier, and engage clients more effectively. Our work spans scalable reporting infrastructure, proactive signal delivery, and AI-assisted workflows that operationalize intelligence into durable, production-grade systems. Core mission The Senior Systems Engineer owns the design, development, and reliability of intelligence systems from requirements through production. This includes identifying where systems, automation, or infrastructure improvements can unlock better decision support. It also includes architecting insight pipelines, defining technical requirements, and building and deploying scalable solutions. The systems you build should be trusted, understandable, and useful. Success in this role is measured by the durability, reliability, and impact of the systems you ship. What you'll work with Python, SQL, Snowflake, Tableau, Git/GitLab (CI/CD), LLM APIs, Docker, Jira, Confluence What you'll do Own and maintain the production systems that surface revenue performance, portfolio health, renewal dynamics, client opportunity, and service risk so internal teams can act on the right priorities with confidence. Design, build, and operate proactive insight pipelines, translating recurring business needs into system architecture, data models, signal logic, and production-ready outputs so intelligence can be delivered consistently at scale. Work directly with Business Technology and Revenue Operations to integrate intelligence outputs into dashboards, alerting systems, and operational workflows so signals reach users through the tools where decisions are made. Build and deploy tools, signals, and automated deliverables that help teams prioritize effort, identify risk and opportunity, and act with greater precision so commercial resources are directed where they matter most. Build trusted, production-grade data assets and pipelines using SQL, Python, validated metrics, and well-documented logic so downstream systems remain reliable, explainable, and maintainable. Integrate AI and LLM capabilities into systems and workflows to accelerate exploration, automate documentation, detect anomalies, and improve pipeline quality so teams can move faster without sacrificing rigor. Translate ambiguous commercial problems into concrete technical plans, stakeholder-aligned requirements, and measurable deliverables. Identify and prioritize scalable system investments that are actionable and likely to drive broad commercial impact. Embed intelligence outputs into go-to-market systems and instrument delivery to assess whether signals reach the right users, inform action, and improve outcomes. Raise the team’s engineering bar through rigorous documentation, automated testing, metric governance, and repeatable, version-controlled workflows. Required qualifications 5+ years of experience in analytics engineering, data engineering, software engineering, or a similarly systems-oriented role with strong quantitative foundations. Strong SQL skills and experience working with large, complex datasets in modern data environments. Proficiency in Python for building production systems, automation, and data pipeline development. Strong foundation in software development practices including version control (Git), code review, testing, and CI/CD pipelines. Experience translating business requirements into technical designs, system architecture, and production-ready deliverables. Experience building durable, automated systems rather than relying on ad hoc or manual processes. Demonstrated track record of identifying opportunities, proposing solutions, and independently driving systems, automation or technical initiatives from concept through adoption, often in ambiguous or loosely defined environments. Experience operating in technical environments while collaborating with a broad set of internal stakeholders, including client-facing teams. Familiarity with AI- or LLM-assisted tools and strong judgment in applying them responsibly and validating outputs to ensure accuracy, rigor, and reliability. Strong written and verbal communication skills, including the ability to explain findings and tradeoffs clearly to a range of stakeholders. Strong attention to data quality, metric consistency, and engineering rigor. Preferred qualifications Experience supporting Sales, Client Services, Revenue Operations, or other go-to-market teams in analytically rigorous environments. Experience deploying proactive signals, recommendations, or decision-support systems into production environments. Experience building and maintaining production data pipelines or ETL/ELT systems. Familiarity with advertising technology, digital media, measurement, or platform-based commercial models. Experience working in high-growth, data-intensive organizations where analytics support multiple stakeholders and workflows. Experience with Salesforce, planning tools, product telemetry, and enterprise data platforms such as Snowflake or Databricks. #LI-JS1 The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. [LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652. [SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $103,200—$189,200 USD As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.", "summaryDescription" : "Senior Systems Engineer, Commercial Intelligence and Analytics at The Trade Desk", "postedDate" : "2026-06-16T03:17:19.808", "createdAt" : "2026-06-16T03:17:19.808", "lastUpdated" : "2026-06-16T11:28:25.573", "ingestTimestamp" : "2026-06-16T03:17:19.808", "mongoId" : "6a30a1e0f292fd229c116bc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 103200, "salaryAnnualMax" : 189200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30578df292fd229cf3b246", "title" : "Director, Data Science (Marketing Analytics)", "company" : "WPP Media", "industry" : "Media", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director, Data Science in London, UK, adjusted for the media industry and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:34:33.119", "fingerprint" : "3a6ba62df525fbf243ac489ac4826d3b9b5e3c96574d118a4c07a07dc922c5c5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wppmedia/jobs/5256672008", "externalId" : "5256672008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning", "Data analysis", "Data manipulation", "Data visualization", "ETL processes", "Database management", "Cloud computing", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering, Marketing Analytics", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering", "Marketing Analytics" ], "coreResponsibilities" : "Develop and implement advanced statistical and machine learning, Design and build data pipelines, Create and maintain BI dashboards and reports, Analyze marketing campaign performance, Provide data-driven insights to stakeholders, Collaborate with engineering teams, Ensure data quality and integrity, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Marketing teams; Engineering teams; Stakeholders", "domainKnowledge" : "Marketing analytics; Customer segmentation; Campaign optimization; Attribution modeling; Customer lifetime value", "domainList" : [ "marketing-analytics", "customer-segmentation", "campaign-optimization", "attribution-modeling", "customer-lifetime-value" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Customer segmentation", "Campaign optimization", "Attribution modeling", "Customer lifetime value" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present insights; Communicate findings", "problemSolvingSkills" : "Analytical problem solving", "qualificationsBasic" : "5+ years of experience in data science or analytics, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.  WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com. 2492 - Director, Data Science (Marketing Analytics) - UK Role Summary and Impact We are seeking an exceptional Senior Data Scientist to join our Marketing Science team, serving as both a technical leader and hands-on contributor in building advanced activation solutions that drive superior client performance. This role combines strategic leadership responsibilities with deep technical expertise in econometric modelling and predictive analytics. Responsibilities This is a dynamic and compelling role, and the successful candidate will need to demonstrate an ability to manage multiple projects simultaneously. You will develop a close working relationship with various internal and external teams. The objectives of the role are varied and will adapt to the business objectives as we grow. The following areas are key to the successful management and development of the team: Drive technical excellence and innovation in marketing measurement Build and scale team capabilities that enhance expertise in advanced analytics and marketing analytics methodologies Strengthen stakeholder relationships Establish analytical standards and best practices Foster a culture of continuous learning, collaboration, and excellence within the department Responsibilities Leadership and Team Management: Lead and mentor a team of data scientists and analysts, fostering professional development and technical excellence Establish team priorities, allocate resources effectively, and ensure delivery of high-quality analytical solutions Develop and implement training programs to enhance team capabilities in advanced analytics and marketing analytics Conduct performance reviews, provide regular feedback, and support career progression planning Build a collaborative, innovation-focused team culture that encourages experimentation and learning Stakeholder Management Serve as the primary analytical consultant for senior client stakeholders and internal leadership teams Translate complex analytical insights into actionable business recommendations and strategic guidance Collaborate with client service teams to scope analytical requirements and deliver solutions that meet business objectives Present high-level insights, recommendations, and innovations to senior stakeholders Cultivate strong relationships with agencies, identifying opportunities for expanded collaboration and business growth Address escalated client concerns and ensure consistent delivery of high-quality solutions Technical Excellence & Data Science Design, build, and validate Marketing Mix Models (MMM) using advanced econometric techniques Develop predictive models for campaign performance, customer behaviour, and business outcomes Implement cutting-edge statistical approaches including Bayesian modelling, machine learning, and causal inference Create cross-channel reach and frequency measurement frameworks and attribution models Build automated reporting and monitoring systems for ongoing campaign optimization Oversee the development of innovative data models and analytical frameworks to drive marketing effectiveness Ensure the team stays current with the latest advancements in data science and machine learning relevant to marketing Collaborate with the Marketing Strategists to translate complex data insights into actionable marketing strategies Guide the development of optimisation strategies both independently and in collaboration with WPP Media EMEA team. Innovation & Methodology Development Research and implement new analytical approaches, tools, and methodologies in marketing science Develop proprietary frameworks and best practices for effectiveness measurement and optimization Lead proof-of-concept projects exploring emerging techniques in marketing analytics Establish analytical standards and quality assurance processes across the team Contribute to thought leadership through white papers, industry presentations, and case studies Skills & Experience Advanced expertise in Marketing Mix Modelling (MMM) including media saturation curves, adstock effects, and base vs. incremental decomposition Strong econometrics background with experience in time series analysis, panel data methods, and causal inference Proficiency in predictive modelling using machine learning techniques (regression, tree-based methods, neural networks) Programming expertise in R and/or Python with experience in relevant libraries (e.g., tidyverse, scikit-learn, PyMC3, Stan) Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, SQL) Knowledge of experimental design and A/B testing methodologies Familiarity with marketing measurement frameworks including attribution, incrementality testing, and media optimization Business & Leadership Skills Exceptional communication skills with ability to present complex analyses to non-technical stakeholders Proven experience managing and developing technical teams Strong project management capabilities with experience handling multiple concurrent initiatives Deep understanding of digital marketing ecosystem and media channels Experience working in agency, consulting, or client services environment preferred Life at WPP Media & Benefits Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising.  We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.  Please note that while our philosophy is the same across WPP, benefits may vary by office/country. Please note this is a UK based role and requires individuals to have the right to work in this location Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. While we appreciate all applications received, only those candidates selected for an interview will be contacted.  #LI-Promoted Please read our Privacy Notice for more information on how we process the information you provide.", "summaryDescription" : "Director, Data Science (Marketing Analytics) at WPP Media. Skills: Data Science, Machine Learning, Data Engineering, Marketing Analytics. Develop and implement advanced statistical and machine learning. Design and build data pipelines", "postedDate" : "2026-06-15T23:22:36.690", "createdAt" : "2026-06-15T23:22:36.690", "lastUpdated" : "2026-06-16T10:34:33.119", "ingestTimestamp" : "2026-06-15T23:22:36.690", "mongoId" : "6a30578df292fd229cf3b246", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning", "Data analysis", "Data manipulation", "Data visualization", "ETL processes", "Database management", "Cloud computing", "A/B testing", "Causal inference", "Data Science", "Machine Learning", "Data Engineering", "Marketing Analytics", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Marketing analytics", "Customer segmentation", "Campaign optimization", "Attribution modeling", "Customer lifetime value", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305987f292fd229cf48951", "title" : "Senior Campaign Manager, Global Campaigns", "company" : "1Password", "industry" : "Marketing", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Campaign Manager in the SaaS industry in the United States, adjusted for company size and remote work." }, "location" : "Remote (United States | Canada)", "locations" : [ "Remote (United States | Canada)" ], "timestamp" : "2026-06-16T10:38:39.164", "fingerprint" : "7a562b1194d4c5a633b2b682b166d4272bc32cc1938a668361ba5bd987d6d938", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/1password/638f4a62-bf56-4b2a-91fb-77397e74a20d/application", "externalId" : "638f4a62-bf56-4b2a-91fb-77397e74a20d", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States; Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "majorSkills" : "Brand strategy, Customer acquisition, Campaign management, Growth metrics", "majorSkillsList" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. At 1Password, our purpose is to build a safe, simpler digital future for everyone. We believe security and convenience shouldn't be in conflict — and we're proving it every day for hundreds of thousands of businesses and millions of people around the world. The Senior Campaign Manager for Global Campaigns is where that belief meets the market. This is a high-impact role at the center of 1Password's growth engine, responsible for owning integrated campaign strategy that drives new logo demand and cross-sell expansion across key areas of the business. You won't just build campaigns — you'll shape how the market understands and adopts 1Password's most important solutions. To do it, you'll work at the intersection of storytelling and revenue, partnering closely with Solution Marketing, Product Marketing, Revenue Marketing, Performance Marketing, Growth Web, and Sales to turn sharp positioning into pipeline. You'll bring the right message to the right audience at the right moment — and you'll move fast to keep pace with a product portfolio that's rapidly evolving. A key part of how you'll operate is through AI. You'll actively build and leverage AI agents and automated workflows to accelerate campaign development, sharpen audience insights, and scale execution across markets — without losing the human judgment that makes great campaigns land. This is a role for someone who thrives in motion. You're comfortable operating in ambiguity, energized by evolving strategy, and excited by the opportunity to build campaigns that matter — in a category that's reshaping how businesses think about identity and security. How we’re using AI today On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password. This is a remote opportunity within Canada and the US. What we're looking for: - 8+ years of experience in demand generation, campaign marketing, or growth marketing within B2B SaaS or enterprise technology. - Proven ability to plan, execute, and measure multi-channel campaigns that drive pipeline, adoption, and revenue impact. - Strong experience leading cross-functional initiatives, including programs that bring new products or capabilities to market - Deep familiarity with enterprise sales cycles, buying committees, and the content/messaging needed to influence them. - Strong understand of enterprise B2B SaaS growth metrics including ARR, pipeline generation, product adoption, retention, and expansion - Strong analytical and decision-making skills with the ability to balance experimentation, data, and strategic judgement - Ability to deliver clear recommendations and influence decisions across all levels of the organization - Experience using AI as a force-multiplier for demand generation efforts—speeding research, insights, and content iteration—while preserving brand voice and accuracy. What you can expect: Growth Marketing Leadership in a Fast Paced, Test and Learn Environment - Own enterprise marketing sourced pipeline generation goals through campaign strategy, audience development, and programs. - Partner with Solution Marketing to define new logo ICP and target customers, priority use cases, and demand hypotheses. - Translate product strategy into clear value focused market narratives, demand generation plans, and activation programs. Demand Creation & Market Activation - Build full-funnel demand generation campaigns leveraging AI tools for audience segmentation, creative personalization, and optimal channel spend to drive engagement and pipeline growth. - Develop campaign briefs, timelines, and project plans, ensuring alignment and smooth, on-time delivery with clear ownership and accountability. - Test new campaigns, plays, and routes to market that drive meaningful impact. - Track and report regularly on marketing performance. Work with early indicators of traction, learn quickly, and iterate based on results. Cross-Functional Partnership - Partner with Performance & Paid Media, Growth Web, and Field Marketing to build omni-channel programs. - Work with Solution Marketing to shape positioning, messaging frameworks, and proof points. - Collaborate with Content, Product Marketing, and Design to develop and iterate on high-performing assets across all stages of the buyer journey, from awareness through closed-won. - Align closely with Sales to enable early pipeline generation and refine qualification and messaging based on real-world feedback. What success looks like: - Pipeline creation and sales engagement driven by marketing-led initiatives. - Clear, validated positioning and messaging that drives scalable growth. - Strong alignment between Solution Marketing, Sales, and Marketing on target customers and GTM approach. - Development of an always-on campaign engine that consistently delivers pipeline while enabling flexibility and testing. - Regularly build & run AI agents to automate the repetitive, amplify the creative, and free yourself to focus on the strategy that moves the needle. USA-based roles only: The annual base salary for this role is between $150,000 USD and $218,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $147,000 CAD and $213,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing \uD83D\uDC76 Maternity and parental leave top-up programs \uD83E\uDE7A Competitive health benefits \uD83C\uDFDD Generous PTO policy Growth and future \uD83D\uDCC8 RSU program for most employees \uD83D\uDCB8 Retirement matching program \uD83D\uDD11 Free 1Password account Community \uD83E\uDD1D Paid volunteer days \uD83C\uDFC6 Peer-to-peer recognition through Bonusly \uD83C\uDF0E Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.", "summaryDescription" : "Senior Campaign Manager, Global Campaigns at 1Password. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics", "createdAt" : "2026-06-16T00:32:02.451", "lastUpdated" : "2026-06-16T10:38:39.164", "ingestTimestamp" : "2026-06-16T00:32:02.451", "mongoId" : "6a305987f292fd229cf48951", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c600574d8ee00a08f0aa9", "title" : "Campaign Manager", "company" : "Hunter Douglas", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Campaign Manager in Rotterdam, Netherlands, adjusted for the manufacturing industry and company size." }, "location" : "Rotterdam", "locations" : [ "Rotterdam" ], "timestamp" : "2026-06-15T00:16:55.405", "fingerprint" : "15439e68d7b7d21a5af5738089bfa6d90169ed5784154a1f26612b40d15ebaf4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.hunterdouglas.com/division/hunterdouglas/job/7584231003?gh_jid=7584231003", "externalId" : "7584231003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rotterdam", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.9244424,4.4777500" } ], "locationText" : "Rotterdam, Netherlands", "experienceLevel" : "Manager", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Growth metrics" ], "hardSkillsList" : [ "Campaign management", "Copywriting", "Budgetary control" ], "hardSkills" : [ { "name" : "Campaign management", "level" : "intermediate" }, { "name" : "Copywriting", "level" : "intermediate" }, { "name" : "Budgetary control", "level" : "intermediate" } ], "majorSkills" : "Campaign management, Brand strategy, Customer acquisition", "majorSkillsList" : [ "Campaign management", "Brand strategy", "Customer acquisition" ], "coreResponsibilities" : "Manage marketing campaigns from concept to delivery, Execute campaigns across all countries, Deliver against strategic objectives, Ensure campaigns are on time, Ensure campaigns are to budget, Plan and put together briefs, Write copy tailored to audiences, Create timelines, Control budgets, Ensure smooth execution of campaigns, Maximize comms opportunities with collaborators, Maximize comms opportunities with influencers, Ensure campaigns are executed across every digital channel, Manage offline marketing output, Manage customer facing collateral, Manage creative briefs, Manage artwork, Conduct post campaign analysis, Provide updates to Marketing Team, Write copy appropriate to media, Write copy appropriate to audiences, Proof read communications, Ensure communications are accurate, Ensure communications are compliant, Ensure communications are on brand, Ensure local marketing teams deliver campaigns, Ensure local marketing teams communicate campaigns", "teamCollaboration" : "Work with digital team; Work with creative agencies; Work with media owners; Work with Analysis team; Work with local marketing teams", "projectManagementSkills" : [ "Project management", "Timelines", "Budgetary control" ], "domainKnowledge" : "Window coverings; Architectural products; Dealer brands; Product brands", "domainList" : [ "window-coverings", "architectural-products", "dealer-brands", "product-brands" ], "domainSpecificKnowledge" : [ "Window coverings", "Architectural products", "Dealer brands", "Product brands" ], "communicationSkills" : "Writing copy; Proof reading", "outcomesObjectives" : "Deliver campaigns on time; Deliver campaigns to budget", "qualificationsBasic" : "Project management experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Hunter Douglas is the world’s leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we’ve defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally. We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What’s yours? The Campaign Manager role is a great opportunity to manage our marketing campaigns from concept to delivery, working closely with our talented team. You’ll lead the wider marketing team to execute our campaigns across all countries ensuring that they deliver against our strategic objectives, as well as being on time and to budget. You will work across multiple dealer brands in Europe including Luxaflex, Sunway, Multisol, Zonnelux, and ABZ. You will also manage campaigns for some of our product brands – Duette and Powerview. You’ll be great at planning and putting together briefs, as well as writing copy that can be tailored to specific audiences and media. Project management experience is essential, as you’ll be planning and delivering campaigns, which will involve creating timelines and budgetary control plans, and ensuring smooth execution of all campaigns. Key responsibilities: • Be the driving force behind our campaigns from brief to completion, ensuring final deliverables across our channels are aligned, relevant to the specific audience and delivered on brand, on time and to budget • Maximise comms opportunities arising from micro campaigns with collaborators and influencers • Work closely with the digital team to ensure that all campaigns are being executed across every digital channel • Manage offline marketing output for campaigns and customer facing collateral • Work collaboratively with our creative agencies, managing creative briefs and artwork to help the team bring them to life • Work with media owners and Analysis team to conduct post campaign analysis • Provide updates to the wider Marketing Team • Write/ supply copy appropriate to a variety of media and audiences • Proof reading ensuring all communications are accurate, compliant and on brand • Work closely with the local marketing teams to ensure that they are delivering and communicating the campaigns in line with the set plans • And more! In this fast-paced environment, you’ll need to be used to working on multiple projects at the same time as well as being responsive to change. We see the benefits of working face-to-face in a collaborative way and the value of working from home to provide more flexibility and promote hybrid working with three days in the office and two from home. By submitting your application below, you are providing your prior consent to receive SMS messages to notify you of any updates to your application status and to engage in discussion throughout your application process. You can cancel the SMS service at any time. Just text “STOP” to any of our texts to unsubscribe. Message & data rates may apply. Message frequency may vary. If you have any questions regarding privacy, please read our privacy policy, https://www.hunterdouglas.com/privacy-policy or terms of use https://www.hunterdouglas.com/terms-of-use", "summaryDescription" : "Campaign Manager at Hunter Douglas. Skills: Campaign management, Brand strategy, Customer acquisition. Manage marketing campaigns from concept to delivery. Execute campaigns across all countries", "postedDate" : "2026-06-12T22:32:04.507", "createdAt" : "2026-06-12T22:32:04.507", "lastUpdated" : "2026-06-15T00:16:55.405", "ingestTimestamp" : "2026-06-12T22:32:04.507", "mongoId" : "6a2c600574d8ee00a08f0aa9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Campaign management", "Copywriting", "Budgetary control", "Brand strategy", "Customer acquisition", "Growth metrics", "Project management", "Timelines", "Window coverings", "Architectural products", "Dealer brands", "Product brands" ], "skillCount" : 12, "jobCategory" : "marketing", "jobSubcategory" : "hd-emea----marketing", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3085c4f292fd229c07b704", "title" : "Manager, Business Intelligence", "company" : "Medely", "industry" : "Finance & Accounting Department", "salary" : { "min" : 136000.0, "max" : 152000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T11:46:24.542", "fingerprint" : "4d6dc4cc7806fd7a7099d1e26757d5d34cdc3a3c169ceb9e4b4222b2090ce1d7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/medely/3eaa08f0-fc15-4cf5-9e02-7ab85d123710/application", "externalId" : "3eaa08f0-fc15-4cf5-9e02-7ab85d123710", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, BI tools, Data warehousing, ETL, Data modeling, Cloud platforms, AWS, GCP, Azure, Data visualization, A/B testing, Statistical analysis, Machine learning", "professionalSkills" : [ "Data analysis", "Business intelligence", "Data visualization", "Problem solving" ], "hardSkillsList" : [ "Data analysis", "Business intelligence", "Data visualization", "SQL", "Python", "R", "ETL", "Data modeling", "Statistical analysis", "Machine learning" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "R", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Business intelligence, SQL, BI tools", "majorSkillsList" : [ "Data analytics", "Business intelligence", "SQL", "BI tools" ], "coreResponsibilities" : "Develop and maintain BI dashboards and reports, Analyze data to identify trends and insights, Collaborate with stakeholders to understand data needs, Develop and implement data models, Design and build ETL processes, Ensure data quality and integrity, Support data-driven decision-making, Perform ad-hoc data analysis", "teamCollaboration" : "Stakeholder collaboration", "toolProficiency" : [ "BI tools" ], "problemSolvingSkills" : "Problem solving; Data analysis", "qualificationsBasic" : "5+ years of experience in data analytics or business intelligence, Proficiency in SQL, Experience with BI tools", "qualificationsPreferred" : "Experience with Python or R, Experience with data warehousing concepts, Experience with cloud platforms (AWS, GCP, Azure), Experience with data modeling, Experience with ETL processes, Experience with data visualization best practices, Experience with A/B testing, Experience with statistical analysis, Experience with machine learning concepts", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "The Company Medely is a high-growth series-C technology start-up reimagining the future of healthcare work by providing an on-demand marketplace and workforce management tools. With the support of top-tier investors, Medely has quickly become a go-to platform for healthcare professionals to instantly access high-paying jobs with the freedom and flexibility to work when and where they want. As a fully remote team of sharp, collaborative, and entrepreneurial individuals, we are dedicated to redefining the way healthcare workers and facilities work together to provide for patients. We are looking for passionate and skilled professionals to join our team and help us take on tough challenges in this fast-expanding healthcare industry segment. Join us in our mission to transform the healthcare staffing industry and improve patient lives! The Opportunity Full-Time · Reports to VP, Financial Operations Medely is building the infrastructure layer for healthcare staffing - a marketplace that connects thousands of healthcare professionals with facilities that need them, in real time. It's a complex, data-rich business, and the decisions that determine how we grow, where we invest, and how we serve our customers are increasingly being driven by the quality of our analytics. That's where you come in. We're looking for a Manager of Business Intelligence who is equal parts analytical rigor and business instinct - someone who doesn't just build dashboards, but builds understanding. You'll lead a BI Analyst, own the execution of our BI roadmap, and work directly with the VP of Financial Operations and cross-functional leadership to turn data into decisions that move the business. If you're the kind of person who finds satisfaction in making a complex system legible - who gets energized by ambiguous problems, clean data models, and stakeholders who actually use what you build - this role was designed for you. What You'll Own - Be hands-on with the work. You won't just delegate. You'll write SQL, build dashboards, run analytical deep-dives, and produce models that generate real product and business insights. You're still a craftsperson. - Drive self-service analytics across the org. A big part of this role is making data accessible to people who aren't analysts. You'll train and enable business partners to navigate Delphina (our BI platform), set the governance standards that keep data trustworthy, and build the infrastructure so teams can answer their own questions -without creating chaos. - Translate complexity into clarity. You'll partner with operational and functional stakeholders to monitor business health, surface trends, and bring structure to ambiguous problems. The best outcome isn't a beautiful chart - it's a decision that wouldn't have been possible without you. - Build for scale, not just today. You'll contribute to a BI roadmap that balances short-term execution with long-term architecture - including alerting, anomaly detection, and applying AI/ML techniques to accelerate insight generation where it creates real leverage. - Work directly with leadership. Reporting into the VP of Financial Operations means high visibility and real exposure. Your work will directly inform how Medely's leadership team thinks about growth, operations, and strategy. Who You Are: - A minimum of 5 years in analytics, business intelligence, data science, or a related field - with at least one year managing a direct report. - Advanced SQL is non-negotiable. You write clean, optimized queries and you understand the systems underneath them. - Strong proficiency in a BI tool (Tableau, Power BI, or similar) and a real understanding of what makes a dashboard useful vs. just pretty. - Python or another scripting language for data manipulation and workflow automation. - Experience structuring ambiguous problems and communicating findings to both technical and non-technical audiences - Comfort with experimentation - designing tests, reading results, and explaining what they mean. - Familiarity with AI/ML concepts and an appetite to apply them to real analytics problems. - A bias toward ownership. You don't wait to be told what matters - you figure it out and move. What Will Set You Apart - Startup or marketplace experience. - Hands-on experience applying LLM-based or ML solutions to analytics workflows. - Interest in healthcare technology and the infrastructure that makes it work. Why This Role, Why Now Medely is at a stage where the analytical infrastructure we build in the next 12-18 months will shape how we scale for years. This role has real scope - a platform to own, a leadership team that wants to be data-informed, and a business complex enough to keep you intellectually engaged for a long time. You'll have ownership. You'll have visibility. And you'll do work that actually matters. Why Medely: Benefits & Perks - Competitive Compensation: Based on experience and performance - Long-term Incentives: 401k - Healthcare Benefits: Full suite of benefits including medical, dental, and vision insurance - Flexibility: We believe that work/life balance is important, so we offer flexible and unlimited PTO - Paid parental leave - Purpose: Join a growing mission-oriented startup that is modernizing the healthcare industry nationally! - Ownership: Drive meaningful business impact on a team you’ll help build and define! - Remote: Work in a digital environment with all the tools to achieve your work as though you were in the office! We're an equal opportunity employer to all. We interview and hire applicants of all backgrounds, orientations, expressions, and identities. Work location is flexible if approved by Medely. Medely does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency or outside recruiter without prior approval from a member of the Medely Human Resources or Recruiting team to be unsolicited and gratuitous, and such submissions will not be recognized by Medely for purposes of “ownership” of the candidate. We are an E-Verify company.", "summaryDescription" : "Manager, Business Intelligence at Medely. Skills: Data analytics, Business intelligence, SQL, BI tools. Develop and maintain BI dashboards and reports. Analyze data to identify trends and insights", "createdAt" : "2026-06-16T01:59:52.495", "lastUpdated" : "2026-06-16T11:46:24.542", "ingestTimestamp" : "2026-06-16T01:59:52.495", "mongoId" : "6a3085c4f292fd229c07b704", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 136000, "salaryAnnualMax" : 152000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Business intelligence", "Data visualization", "SQL", "Python", "R", "ETL", "Data modeling", "Statistical analysis", "Machine learning", "Data analytics", "BI tools", "Problem solving" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2cb20d74d8ee00a09df5e4", "title" : "Marketing Analytics Manager", "industry" : "Marketing", "salary" : { "min" : 72000.0, "max" : 108000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for Manager seniority in the Technology industry." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-15T23:00:50.469", "fingerprint" : "40972c878b3fc7bfaf448fda2617a6c380401275eabe1858cfe0cd12cc420a1c", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/c050b39a-32c8-4e61-991b-7abe13265ad3/apply", "externalId" : "c050b39a-32c8-4e61-991b-7abe13265ad3", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Tableau, Power BI, Looker, Excel, Salesforce, HubSpot, Marketo, Eloqua", "professionalSkills" : [ "Marketing analytics strategy", "Performance measurement", "Data visualization", "Data storytelling", "Financial modeling", "Budgeting", "Forecasting", "Investment planning", "Predictive modeling", "Advanced analyses", "Attribution models", "Process execution" ], "hardSkillsList" : [ "KPI definition", "Funnel performance analysis", "ROI analysis", "Customer acquisition analysis", "Spend optimization", "Resource allocation", "Scenario forecasting", "Reporting standards", "Lead routing" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "KPI definition", "level" : "intermediate" }, { "name" : "Funnel performance analysis", "level" : "intermediate" }, { "name" : "ROI analysis", "level" : "intermediate" }, { "name" : "Customer acquisition analysis", "level" : "intermediate" }, { "name" : "Spend optimization", "level" : "intermediate" }, { "name" : "Resource allocation", "level" : "intermediate" }, { "name" : "Scenario forecasting", "level" : "intermediate" }, { "name" : "Reporting standards", "level" : "intermediate" }, { "name" : "Lead routing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Marketing analytics, Data storytelling, Financial modeling, Executive reporting", "majorSkillsList" : [ "Marketing analytics", "Data storytelling", "Financial modeling", "Executive reporting" ], "coreResponsibilities" : "Define KPIs, Maintain KPIs, Define dashboards, Maintain dashboards, Define performance measurement frameworks, Maintain performance measurement frameworks, Evaluate campaign effectiveness, Evaluate funnel performance, Evaluate ROI, Evaluate customer acquisition trends, Translate datasets into recommendations, Improve marketing efficiency, Optimize marketing spend, Support business growth, Own executive reporting, Own board-level reporting, Provide monthly performance updates, Provide quarterly performance updates, Provide strategic presentations, Connect marketing activity to business outcomes, Manage marketing budgets, Manage forecasting, Manage financial modeling, Manage investment planning, Ensure effective resource allocation, Develop predictive models, Develop advanced analyses, Support strategic planning, Support scenario forecasting, Support performance optimization, Align metrics, Align attribution models, Align reporting standards, Manage one direct report, Mentor one direct report, Ensure operational excellence, Ensure continuous improvement, Leverage AI-driven tools, Enhance reporting efficiency, Improve forecasting accuracy, Streamline analytics workflows", "teamCollaboration" : "Partner with Marketing leadership; Partner with Finance leadership; Collaborate with Sales; Collaborate with Revenue Operations; Collaborate with Product; Collaborate with Customer Success; Collaborate with Executive teams; Influence stakeholders", "projectManagementSkills" : [ "Budgeting", "Forecasting", "Investment planning" ], "domainKnowledge" : "Marketing analytics; Revenue operations; Modern data-driven marketing", "domainList" : [ "marketing-analytics", "revenue-operations", "modern-data-driven-marketing" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Revenue operations", "Modern data-driven marketing" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Excel", "Salesforce", "HubSpot", "Marketo", "Eloqua" ], "communicationSkills" : "Executive reporting; Board-level reporting; Data storytelling; Strategic presentations", "innovationCreativity" : "AI-driven tools; Predictive modeling; Automation", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "outcomesObjectives" : "Improve marketing efficiency; Optimize marketing spend; Support business growth; Ensure effective resource allocation; Enhance reporting efficiency; Improve forecasting accuracy; Streamline analytics workflows", "qualificationsBasic" : "5+ years of experience in marketing analytics, Proven experience delivering executive-level reporting, Advanced proficiency in Excel, Experience working with CRM, Experience working with marketing automation systems, Experience managing marketing budgets, Experience forecasting, Experience performance measurement frameworks, Bachelor’s degree in Marketing, Business, Economics, Statistics, Finance, or equivalent experience", "qualificationsPreferred" : "Prior people management experience, Leadership of cross-functional initiatives", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Lead marketing analytics strategy by defining and maintaining KPIs, dashboards, and performance measurement frameworks that evaluate campaign effectiveness, funnel performance, ROI, and customer acquisition trends. Deliver actionable insights by translating complex datasets into clear recommendations that improve marketing efficiency, optimize spend, and support business growth. Own executive and board-level reporting, including monthly and quarterly performance updates, strategic presentations, and data storytelling that connects marketing activity to business outcomes. Partner with Marketing and Finance leadership to manage budgeting, forecasting, financial modeling, and investment planning to ensure effective resource allocation. Develop predictive models and advanced analyses to support strategic planning, scenario forecasting, and performance optimization. Collaborate cross-functionally with Sales, Revenue Operations, Product, Customer Success, and Executive teams to align metrics, attribution models, and reporting standards. Manage and mentor one direct report responsible for marketing operations support, lead routing, and process execution, ensuring operational excellence and continuous improvement. Leverage AI-driven tools and automation to enhance reporting efficiency, improve forecasting accuracy, and streamline analytics workflows. Requirements: 5+ years of experience in marketing analytics, business analytics, revenue operations, finance analytics, or similar data-driven roles. Proven experience delivering executive-level reporting, presentations, and data-driven recommendations to senior leadership and board-level stakeholders. Strong expertise in data visualization and BI tools such as Tableau, Power BI, Looker, or equivalent platforms. Advanced proficiency in Excel and experience working with CRM and marketing automation systems such as Salesforce, HubSpot, Marketo, or Eloqua. Experience managing marketing budgets, forecasting, and performance measurement frameworks in a complex business environment. Strong analytical, problem-solving, and storytelling skills with the ability to translate data into strategic business insights. Familiarity with AI-powered analytics tools, automation, predictive analytics, and modern data-driven marketing practices. Experience working in cross-functional environments and influencing stakeholders across Marketing, Sales, Finance, and Product teams. Bachelor’s degree in Marketing, Business, Economics, Statistics, Finance, or a related field, or equivalent experience. Prior people management experience or leadership of cross-functional initiatives is a strong plus. Benefits: Competitive salary range of $95,900–$137,200, plus bonus eligibility. Comprehensive benefits package including medical, dental, and vision insurance. 401(k) retirement savings plan, health savings account options, and life insurance coverage. Paid time off, sick leave, and parental leave to support work-life balance. Employee assistance program, mental health resources, and wellness support services. Additional perks such as pet insurance and employee support programs. Remote work flexibility within a full-time structure. Inclusive and equal opportunity workplace with accommodations available throughout the hiring process. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Marketing Analytics Manager. Skills: Marketing analytics, Data storytelling, Financial modeling, Executive reporting. Define KPIs. Maintain KPIs", "postedDate" : "2026-06-12T06:37:44.070", "createdAt" : "2026-06-12T06:37:44.070", "lastUpdated" : "2026-06-15T23:00:50.469", "ingestTimestamp" : "2026-06-14T22:11:53.554", "mongoId" : "6a2cb20d74d8ee00a09df5e4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "KPI definition", "Funnel performance analysis", "ROI analysis", "Customer acquisition analysis", "Spend optimization", "Resource allocation", "Scenario forecasting", "Reporting standards", "Lead routing", "Leadership", "Marketing analytics", "Data storytelling", "Financial modeling", "Executive reporting", "Marketing analytics strategy", "Performance measurement", "Data visualization", "Budgeting", "Forecasting", "Investment planning", "Predictive modeling", "Advanced analyses", "Attribution models", "Process execution", "Revenue operations", "Modern data-driven marketing", "Tableau", "Power BI", "Looker", "Excel", "Salesforce", "HubSpot", "Marketo", "Eloqua" ], "skillCount" : 34, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a914e74d8ee00a068dc40", "title" : "Analytics Manager, Marketing Analytics", "company" : "Wolt", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Analytics Manager in E-Commerce in Berlin, Germany, adjusted for manager seniority and full-time employment." }, "location" : "Berlin, Germany", "locations" : [ "Berlin", "Germany", "Helsinki", "Finland", "London", "United Kingdom", "Stockholm", "Sweden" ], "timestamp" : "2026-06-14T22:11:03.932", "fingerprint" : "b448fe58cd4818db8868d043fcdf0ee24ec1114838113d97237114c76145e29f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wolt/jobs/7992265", "externalId" : "7992265", "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" }, { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" }, { "city" : "Helsinki", "country" : "Finland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "60.1666204,24.9435408" }, { "city" : "Stockholm", "country" : "Sweden", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "59.3251172,18.0710935" }, { "country" : "Germany", "continent" : "eu", "workMode" : "remote" }, { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" }, { "country" : "Finland", "continent" : "eu", "workMode" : "remote" }, { "country" : "Sweden", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Berlin, Germany; London, United Kingdom; Helsinki, Finland; Stockholm, Sweden; Germany; United Kingdom; Finland; Sweden", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Marketing strategies", "Business partnership", "Project management" ], "hardSkillsList" : [ "Data Analytics", "Data Science", "Statistical analysis", "Marketing analytics", "Measurement concepts" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data Analytics", "level" : "intermediate" }, { "name" : "Data Science", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Measurement concepts", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Marketing analytics, Data science, Leadership", "majorSkillsList" : [ "Marketing analytics", "Data science", "Leadership" ], "coreResponsibilities" : "Define analytics roadmap, Prioritize business questions, Ensure work leads to clear decisions, Shape the future of initiatives, Define key performance indicators, Monitor key performance indicators, Brainstorm growth investment opportunities, Establish marketing investment framework, Lead team of Data Scientists, Coach team of Data Scientists, Develop team of Data Scientists, Improve marketing decisions, Improve marketing outcomes", "teamCollaboration" : "Cross-functional teams; Senior business leaders; Product leaders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Marketing analytics; Experimentation; Attribution; Media mix modeling; Marketing measurement", "domainList" : [ "marketing-analytics", "experimentation", "attribution", "media-mix-modeling", "marketing-measurement" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Experimentation", "Attribution", "Media mix modeling", "Marketing measurement" ], "communicationSkills" : "Clear communication; Business partnership", "innovationCreativity" : "0-to-1 growth investment opportunities", "problemSolvingSkills" : "Analytical work", "outcomesObjectives" : "Turn analytical work into decisions; Turn analytical work into actions; Turn analytical work into measurable impact", "qualificationsBasic" : "6+ years of experience in Data Analytics or Data Science, 2+ years of leadership experience, Experience in leading large teams, Expertise with SQL, Statistical analysis using Python, R, or equivalent, Understanding of experimentation, Understanding of attribution, Understanding of media mix modeling, Understanding of marketing measurement concepts, Clear communication skills, Business partnership skills", "qualificationsPreferred" : "Experience in hiring and mentoring skilled members for data science teams, Pragmatic approach to applying marketing measurement concepts to business decisions", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We’re looking for an experienced Analytics Manager to join Wolt in Berlin, Stockholm, Helsinki, or London! About the Marketing Analytics team In the Marketing Analytics team, we are focused on improving the effectiveness of our marketing spend and boosting Wolt’s growth. We work across a broad set of marketing questions, helping teams understand what is working, where to invest, and how to improve marketing performance across Wolt. We partner with Marketing, Product, and Strategy & Operations teams closely to guide measurement and tactical decision-making using advanced analytics. Considering the scale of Wolt’s marketing function, there are many exciting problems to be solved and plenty of opportunities to make a business impact! You’ll be part of this team working with top Data Science and Analytics Engineering professionals. As we grow the next level of maturity in Marketing Analytics, you’ll help shape the roadmap, develop the team, and build the operating rhythm that turns analysis into better business decisions. What you’ll be doing As an Analytics Manager at Wolt, you are essential in revolutionizing our marketing strategies. You’ll define the analytics roadmap for the team, prioritize the most important business questions, and ensure the work leads to clear decisions and follow-through. Acting as a critical partner to senior business and product leaders, this role will drive the Marketing domain forward, shaping the future of our initiatives. Key responsibilities include defining and monitoring key performance indicators to gauge the effectiveness of innovative marketing initiatives. The role offers an exciting opportunity to brainstorm 0-to-1 growth investment opportunities and establish the foundation for our marketing investment framework. You’ll lead, coach, and develop a team of Data Scientists, helping them stay close to the business and deliver work that improves marketing decisions and outcomes. Success in this role requires exceptional leadership and project management skills, along with strong communication and interpersonal abilities. Collaborating effectively with cross-functional teams will be crucial in fostering a culture of shared success and innovation. This position offers a thrilling opportunity to shape the future of growth at Wolt! Our humble expectations 6+ years of experience in a Data Analytics or Data Science position, with 2+ years of leadership experience. Experience in leading large teams (5-10 direct reports) Prior experience in hiring and mentoring skilled members for your data science teams. Expertise with SQL and statistical analysis using Python, R, or equivalent. Strong understanding of experimentation, attribution, media mix modeling, and marketing measurement concepts, with a pragmatic approach to applying them to business decisions. Clear communication and strong business partnership skills, with a track record of turning analytical work into decisions, actions, and measurable impact. What we offer The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics! You can choose the location from our tech hubs in Berlin, London, Helsinki or Stockholm. You have the chance to decide the ways of working: hybrid, at the office, or remote within Germany, the UK, Finland or Sweden. \uD83D\uDC99 You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement. Next steps The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.", "summaryDescription" : "Analytics Manager, Marketing Analytics at Wolt. Skills: Marketing analytics, Data science, Leadership. Define analytics roadmap. Prioritize business questions", "postedDate" : "2026-06-11T20:37:44.337", "createdAt" : "2026-06-11T20:37:44.337", "lastUpdated" : "2026-06-14T22:11:03.932", "ingestTimestamp" : "2026-06-11T20:37:44.337", "mongoId" : "6a2a914e74d8ee00a068dc40", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data Analytics", "Data Science", "Statistical analysis", "Marketing analytics", "Measurement concepts", "Leadership", "Mentoring", "Data science", "Marketing strategies", "Business partnership", "Project management", "Experimentation", "Attribution", "Media mix modeling", "Marketing measurement" ], "skillCount" : 15, "jobCategory" : "other", "jobSubcategory" : "analytics", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c92ba74d8ee00a09866a6", "title" : "Senior Product Marketing Manager, Competitive Intelligence", "company" : "Attentive", "industry" : "SaaS", "salary" : { "min" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T03:47:33.633", "fingerprint" : "2fadd29f2bd0f5ea55be3f2781ef5f0389f2cb8328cb7b3363d64cfa4a849fdc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/attentive/jobs/4280722009", "externalId" : "4280722009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI", "professionalSkills" : [ "Market intelligence", "Product strategy", "Sales enablement", "Customer conversations", "Go-to-market strategy", "Win/loss analysis", "Messaging strategy", "Product prioritization" ], "hardSkillsList" : [ "Competitive analysis", "Data analysis", "Synthesize signals", "Develop enablement materials", "Conduct deep dives", "Analyze CRM data", "Build AI workflows", "Optimize workflows" ], "hardSkills" : [ { "name" : "Competitive analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Synthesize signals", "level" : "intermediate" }, { "name" : "Develop enablement materials", "level" : "intermediate" }, { "name" : "Conduct deep dives", "level" : "intermediate" }, { "name" : "Analyze CRM data", "level" : "intermediate" }, { "name" : "Build AI workflows", "level" : "intermediate" }, { "name" : "Optimize workflows", "level" : "intermediate" } ], "majorSkills" : "Competitive intelligence, Product marketing, Market analysis, AI workflows", "majorSkillsList" : [ "Competitive intelligence", "Product marketing", "Market analysis", "AI workflows" ], "coreResponsibilities" : "Own competitive intelligence program, Define CI framework, Identify priority competitors, Identify emerging competitors, Build monitoring cadence, Track competitive landscape, Analyze competitive landscape, Maintain battlecards, Evolve battlecards, Maintain product comparison matrices, Evolve product comparison matrices, Maintain objection-handling guides, Evolve objection-handling guides, Maintain win/loss summaries, Evolve win/loss summaries, Support deal execution, Join competitive evaluations, Join churn-risk calls, Conduct deep dives competitor capabilities, Conduct deep dives competitor pricing, Conduct deep dives competitor packaging, Conduct deep dives competitor feature launches, Conduct deep dives competitor GTM strategies, Develop internal enablement materials, Develop client-facing assets, Develop thought leadership, Own win/loss interview program, Analyze CRM data, Translate patterns recommendations, Build AI-powered workflows, Scale intelligence gathering, Scale intelligence synthesis, Scale intelligence distribution, Experiment with new approaches, Make CI program faster, Make CI program smarter, Embed CI in GTM workflows", "teamCollaboration" : "Cross-functional stakeholders; Product Marketing; GTM; Product; Strategy; Sales", "domainKnowledge" : "Martech; SMS platforms; Email platforms; RCS platforms; Push notification platforms; Cross-channel engagement platforms", "domainList" : [ "martech", "sms-platforms", "email-platforms", "rcs-platforms", "push-notification-platforms", "cross-channel-engagement-platforms" ], "domainSpecificKnowledge" : [ "Martech", "SMS platforms", "Email platforms", "RCS platforms", "Push notification platforms", "Cross-channel engagement platforms" ], "toolProficiency" : [ "Klue" ], "communicationSkills" : "Executive briefs; Sales training", "documentationSkills" : "Battlecards; Comparison matrices; Objection-handling guides; Win/loss summaries; Demo scripts", "innovationCreativity" : "Experiment with new approaches", "problemSolvingSkills" : "Distill large volumes information; Translate signals actionable insights; Analyze CRM data; Translate patterns strategic recommendations", "outcomesObjectives" : "Impact win rates; Support deal execution; Drive deal execution; Drive market differentiation; Translate patterns strategic recommendations", "qualificationsBasic" : "5+ years product marketing, 5+ years competitive intelligence, 5+ years strategy, 5+ years B2B SaaS, Proven track record building enablement materials, Analytical skills, Distill large volumes information, Excellent written communication, Excellent verbal communication, Build polished executive brief, Run compelling sales training, Demonstrated ability work cross-functionally, Manage multiple workstreams, Manage shifting priorities, Experience with AI tools, Track record building AI workflows, Hands-on experience CI platforms", "qualificationsPreferred" : "Experience with Klue or similar tools", "remoteFriendly" : true, "rawDescription" : "Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index! About the Role We’re looking for a Senior Product Marketing Manager to own and scale our competitive and market intelligence program. This is not a passive research role—you’ll be the connective tissue between what’s happening in the market and how Attentive responds across product strategy, positioning, sales enablement, and customer conversations. You’ll monitor competitors, synthesize signals from dozens of sources, and translate them into actionable insights and assets that directly impact win rates. You’ll work at the intersection of Product Marketing, GTM, Product, Strategy, and Sales—operating as the internal authority on where Attentive leads, where we’re being challenged, and what we should do about it. The right person for this role is equal parts analyst, storyteller, and operator. You love digging into the details, but you’re just as energized by shaping the narrative that helps a seller close a deal or a product leader prioritize the roadmap. What You’ll Accomplish Own the end-to-end competitive intelligence program: define the framework, identify priority and emerging competitors, and build the monitoring cadence that keeps Attentive one step ahead Track and analyze the competitive landscape across martech, with deep focus on SMS, email, RCS, push, and cross-channel engagement platforms Maintain and continuously evolve battlecards in Klue, product comparison matrices, objection-handling guides, and win/loss summaries that directly support deal execution Provide direct deal support by joining competitive evaluations and churn-risk calls when specialized CI expertise can tip the outcome Conduct rigorous deep dives into competitor product capabilities, pricing and packaging models, new feature launches, and go-to-market strategies Develop high-impact internal enablement materials, including battlecards, objection-handling guides, and demo scripts, alongside client-facing competitive comparison assets and thought leadership to drive deal execution and market differentiation. Own the win/loss interview program and analyze CRM data to translate patterns into strategic recommendations for messaging, enablement, and product priorities. Build and optimize AI-powered workflows to scale intelligence gathering, synthesis, and distribution—staying ahead of the curve on how CI teams operate in 2026 and beyond Continuously experiment with new approaches to make the CI program faster, smarter, and more embedded in daily GTM workflows Your Expertise 5+ years of experience in product marketing, competitive intelligence, strategy, or a related B2B SaaS role Proven track record of building and maintaining competitive enablement materials (battlecards, comparison matrices, objection guides) that sales teams actually use Strong analytical skills with the ability to distill large volumes of information from diverse sources into clear, actionable insights and compelling narratives Excellent written and verbal communication skills; you can build a polished executive brief and run a compelling sales training with equal ease Demonstrated ability to work cross-functionally with GTM, Product, Marketing, and leadership stakeholders—earning trust as the go-to competitive expert Highly organized, detail-oriented, and self-motivated; you can manage multiple workstreams and shifting priorities without losing quality Strong experience with AI tools and a track record of building new AI-powered workflows to increase the scale and speed of a product marketing or CI function Hands-on experience with CI platforms such as Klue or similar tools You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work. For US based applicants: The US base salary range for this full-time position is $125,000 - $160,000 annually + equity + benefits Our salary ranges are determined by role, level and location #LI-MM1 By applying for this position, your data will be processed as per Attentive's Privacy Policy. Attentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s success Learn more about AWAKE, Attentive’s collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.", "summaryDescription" : "Senior Product Marketing Manager, Competitive Intelligence at Attentive. Skills: Competitive intelligence, Product marketing, Market analysis, AI workflows. Own competitive intelligence program. Define CI framework", "postedDate" : "2026-06-13T21:26:40.874", "createdAt" : "2026-06-13T21:26:40.874", "lastUpdated" : "2026-06-15T03:47:33.633", "ingestTimestamp" : "2026-06-13T21:26:40.874", "mongoId" : "6a2c92ba74d8ee00a09866a6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Competitive analysis", "Data analysis", "Synthesize signals", "Develop enablement materials", "Conduct deep dives", "Analyze CRM data", "Build AI workflows", "Optimize workflows", "Competitive intelligence", "Product marketing", "Market analysis", "AI workflows", "Market intelligence", "Product strategy", "Sales enablement", "Customer conversations", "Go-to-market strategy", "Win/loss analysis", "Messaging strategy", "Product prioritization", "Martech", "SMS platforms", "Email platforms", "RCS platforms", "Push notification platforms", "Cross-channel engagement platforms", "Klue" ], "skillCount" : 27, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c692474d8ee00a090635c", "title" : "Senior Product Manager - Merchant Intelligence and Analytics", "industry" : "Product", "location" : "Remote", "locations" : [ "Remote", "Remote - EMEA" ], "timestamp" : "2026-06-15T09:41:08.681", "fingerprint" : "130ebb148618211b59b3bd68d425e661a4f39b1a3359d54546b1eb6b84dad77d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/constructor/e7426b59-431b-418b-a501-dde7f13b21bf/application", "externalId" : "e7426b59-431b-418b-a501-dde7f13b21bf", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Data storytelling", "User experience advocacy", "Strategic thinking", "Cross-functional leadership", "Customer research", "Problem solving", "Decision making", "Motivating teams", "Driving outcomes", "Strategic execution", "Product strategy", "Business intelligence", "Reporting design" ], "hardSkillsList" : [ "Qualitative research", "Quantitative research" ], "hardSkills" : [ { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Business intelligence, Customer insights, Data analysis", "majorSkillsList" : [ "Product strategy", "Business intelligence", "Customer insights", "Data analysis" ], "coreResponsibilities" : "Develop product strategy, Execute product strategy, Define business intelligence metrics, Define insights metrics, Build actionable reporting, Communicate Constructor's impact, Design reporting for personas, Own cross-product revenue breakdown, Surface shopping journey impact, Drive proactive insights, Lead cross-functional team, Scale cross-functional team, Manage product cycle, Conduct customer research, Understand analytics consumption, Understand decision making, Understand value proof, Collaborate with product teams, Ensure data quality, Ensure data actionability, Communicate at all levels, Set expectations, Provide updates", "teamCollaboration" : "Cross-functional teams; Fellow product teams; GTM teams; Internal stakeholders", "projectManagementSkills" : [ "Product cycle management", "Roadmap planning" ], "domainKnowledge" : "Product discovery; E-commerce; Business performance; Return on investment; Shopping journey", "domainList" : [ "product-discovery", "e-commerce", "business-performance", "return-on-investment", "shopping-journey" ], "domainSpecificKnowledge" : [ "Product discovery", "E-commerce", "Business performance", "Return on investment", "Shopping journey" ], "communicationSkills" : "Shareable narratives; Regular updates", "problemSolvingSkills" : "Root cause analysis; Opportunity assessment; Risk assessment; Decision making", "outcomesObjectives" : "Prove Constructor value; Make insights accessible; Make insights actionable; Drive retention; Drive upsells; Drive customer trust; Make ROI visible; Explain revenue drivers; Expand insight reach; Ensure value transparency; Ensure value clarity; Understand business performance; Understand ROI; Deliver compelling narratives; Position Constructor indispensable; Drive e-commerce business; Unify merchandisers; Unify product managers; Unify marketers; Unify analysts; Unify executives; Provide actionable insights; Explain why insights happen; Guide next steps; Launch products; Enable teams; Enable customers; Iterate on results", "qualificationsBasic" : "Customer research competencies, Strategic thinking, Cross-functional leadership, Experience working remotely, Experience in agile software development", "qualificationsPreferred" : "Background in analytics, Background in e-commerce products", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT YOU As the Product Manager for Merchant Intelligence & Analytics (MIA), you will lead a cross-functional team building intelligence products that prove the value Constructor brings to e-commerce businesses — making insights from the product discovery journey accessible and actionable for stakeholders from digital merchandisers to executives. You are a data storyteller and user experience advocate who excels at turning fragmented analytics into proactive, guided, and holistic user journeys delivered to the right persona through the right channel at the right time. By leveraging your competencies in customer research, strategic thinking, and cross-functional leadership, you will bridge the gap between raw analytics data and business intelligence that drives retention, upsells, and customer trust. JOB DESCRIPTION Constructor is the only platform that delivers reinforcement-learning-based product discovery that delivers the right product to the right person at the right time in the right context. Our customers need actionable data that proves ROI, informs merchandising strategy, and surfaces opportunities for improvement across the entire product discovery journey. The business impact we deliver to our customers is real — Constructor has never lost an A/B test against competition. The opportunity ahead is to make it continuously visible beyond A/B tests, building an always-on explanation of how product discovery drives revenue. Our customer-facing dashboard already serves merchandisers well, and the next challenge is expanding the reach to every persona responsible for conversion: product managers, marketers, analysts, and executives. Success in this role means ensuring that the massive business value Constructor delivers is fully transparent and clear across our customers' organizations. As a Product Manager leading the MIA team, you will own the customer job of understanding business performance and ROI of product discovery driven by Constructor. This is a high visibility, high impact role that involves conducting deep customer research across multiple personas, finding the right channels to deliver insights, defining metrics for insight quality and adoption, leading your cross-functional team, and ultimately, translating vast and complex data into compelling, shareable narratives for all audiences, from IC merchandisers to executives. WHAT YOU WILL DO - Develop and execute a comprehensive product strategy and metrics for business intelligence and insights that position Constructor as an indispensable product discovery platform for driving e-commerce business. - Build clear and actionable reporting that communicates Constructor's impact on business metrics and is designed to be consumed and shared across multiple personas through the right channels (customer app, email, exports, conversational AI). - Own the cross-product revenue breakdown: surface how each step in the shopping journey drives e-commerce business as the shared mental model that unifies merchandisers, product managers, marketers, analysts, and executives. - Drive proactive, actionable insights at each step of the product discovery journey — not just data on what's happening, but why it's happening and what to do next. - Lead and scale a cross-functional team of engineers and a designer, while owning the full product cycle from discovery to prototyping, implementation, launching, enabling fellow teams and customers, and iterating on results. - Conduct customer research across multiple personas and industries to understand how different stakeholders consume analytics, make decisions, and prove value internally. - Collaborate closely with fellow product teams to ensure data quality and actionability in merchandising, explainability, reporting, and AI agent workflows. - Communicate effectively at all levels to ensure wonderful experience for customers, prospects, GTM teams, and internal stakeholders, by setting the right expectations and providing regular updates on product strategy, roadmap, and progress against key initiatives and team metrics. WHO WE ARE LOOKING FOR - You are a data storyteller — you can take complex e-commerce data and translate it into compelling, value-based, and actionable narratives tailored to different audiences: executives, PMs, merchandisers, marketers. - You are a user experience advocate who turns fragmented workflows into proactive, guided, and holistic experiences. You understand that data is not delivered until it provokes action. - You love doing qualitative and quantitative customer research. You go beyond surface-level requests to understand the underlying business needs behind them. - You are a problem solver who digs into root causes, assesses opportunities and risks, and makes decisions even when faced with uncertainty. - You are able to motivate cross-functional teams and drive outcomes by involving and guiding fellow product and GTM teams. - You think strategically and execute consistently — delivering tangible wins while ensuring focus on long-term objectives. You know how to trade off short-term customer requests with strategic bets. - You are comfortable collaborating with technical teams (data engineering, ML, backend) outside your area of expertise to make informed product decisions. - You are naturally curious about new ideas and products. - You seek a fast-moving entrepreneurial environment and thrive in ever-evolving processes. - You have experience of working remotely and in agile software development with empowered cross-functional teams. - Having a background in analytics and/or e-commerce products is a plus.", "summaryDescription" : "Senior Product Manager - Merchant Intelligence and Analytics. Skills: Product strategy, Business intelligence, Customer insights, Data analysis. Develop product strategy. Execute product strategy", "createdAt" : "2026-06-14T04:55:21.210", "lastUpdated" : "2026-06-15T09:41:08.681", "ingestTimestamp" : "2026-06-14T04:55:21.210", "mongoId" : "6a2c692474d8ee00a090635c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Qualitative research", "Quantitative research", "Product strategy", "Business intelligence", "Customer insights", "Data analysis", "Data storytelling", "User experience advocacy", "Strategic thinking", "Cross-functional leadership", "Customer research", "Problem solving", "Decision making", "Motivating teams", "Driving outcomes", "Strategic execution", "Reporting design", "Product cycle management", "Roadmap planning", "Product discovery", "E-commerce", "Business performance", "Return on investment", "Shopping journey" ], "skillCount" : 24, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30578cf292fd229cf3b074", "title" : "Campaign Delivery Supervisor", "company" : "WPP Media", "industry" : "Media", "salary" : { "min" : 950000.0, "max" : 1500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Campaign Delivery Supervisor in Taipei, Taiwan, adjusted for the Media industry and WPP Media company size." }, "location" : "Taipei, Taiwan", "locations" : [ "Taipei", "Taiwan" ], "timestamp" : "2026-06-16T06:55:23.125", "fingerprint" : "df498ea5b28701a4bafa6d99c0e86adfbd82dce2099417fadc73b37acb89fab2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wppmedia/jobs/5206006008", "externalId" : "5206006008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taipei", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "25.0375198,121.5636796" } ], "locationText" : "Taipei, Taiwan", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.  WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com. Role Summary and Impact Campaign strategy: In collaboration with agencies and Goat CE, you will support to create KOL/influencer selection strategies, market competitor review and insights from past performance from a given brief and work with the agencies to get the proposal signed off. Campaign implementation: Build strong, harmonious relationships with the Goat team, GroupM Nexus function teams, agency partners, and their stakeholders to successfully launch and complete KOL/Influencer campaigns. Personal development: Take the time to learn about your colleagues’ discipline and educate yourself across the best practices in Taiwan influencer marketing as well as a comprehensive understanding of the Biddable / programmatic media. Skills and Experience At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: Preferably with 2-5 years’ experience in a KOL agency, creative agency, events agency or a media organization. Understanding of Biddable media activation is a plus. Excellent communication skills, with strong analytical skills. Passionate in consuming social content and youtuber channels. Always catch up the most updated trend of social platforms. Creative and sensitive in identifying sophisticated difference from the articles, photos and look and feels. Strong project management skills, with the ability to negotiate with agencies and publishers to ensure campaign objectives are met. Strong attention to detail and a process driven mind-set, with excellent time-management skills and a penchant for prioritization Strong proficiency in Microsoft Office – Word, Excel, and PowerPoint – and reporting tools. Strong understand of media, digital content, and campaign implementations. Ability to work autonomously whilst achieving campaign objectives. Life at WPP Media & Benefits Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising. We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. Please note that while our philosophy is the same across WPP, benefits may vary by office/country. Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. While we appreciate all applications received, only those candidates selected for an interview will be contacted. Please read our Privacy Notice for more information on how we process the information you provide.", "summaryDescription" : "Campaign Delivery Supervisor at WPP Media", "postedDate" : "2026-06-15T23:21:19.304", "createdAt" : "2026-06-15T23:21:19.304", "lastUpdated" : "2026-06-16T06:55:23.125", "ingestTimestamp" : "2026-06-15T23:21:19.304", "mongoId" : "6a30578cf292fd229cf3b074", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306470f292fd229cfa1826", "title" : "Group Tax Reporting Manager", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Technology industry in London, UK, adjusted for seniority and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "certifications" : [ "ACA", "ACCA" ], "timestamp" : "2026-06-16T12:01:22.121", "fingerprint" : "6cbf0fedc1e7762765e54ff084af08536dadc3b2b25fce6d4694cb471d2bdaf9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132252889-group-tax-reporting-manager", "externalId" : "744000132252889", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Tax accounting", "Scenario modelling", "Competitor benchmarking", "Statutory account preparation" ], "hardSkillsList" : [ "Tax reporting", "Tax forecasting", "IAS 12 compliance", "Country-by-Country Reporting" ], "hardSkills" : [ { "name" : "Tax reporting", "level" : "intermediate" }, { "name" : "Tax forecasting", "level" : "intermediate" }, { "name" : "IAS 12 compliance", "level" : "intermediate" }, { "name" : "Country-by-Country Reporting", "level" : "intermediate" } ], "majorSkills" : "Tax reporting, Tax forecasting, SOX compliance", "majorSkillsList" : [ "Tax reporting", "Tax forecasting", "SOX compliance" ], "coreResponsibilities" : "Manage quarterly tax reporting, Manage quarterly tax forecasting, Ensure compliance with IAS 12, Partner with Group Finance, Partner with external auditors, Identify automation opportunities, Optimise processes, Enhance processes, Analyse effective tax rate drivers, Model scenarios, Conduct competitor benchmarking, Support Country-by-Country Reporting, Support Total Tax Contribution analysis, Support statutory account preparation, Contribute to global tax projects", "teamCollaboration" : "Cross-functional teams; Multiple time zones", "domainKnowledge" : "IFRS; SOX; Pillar 2 implementation; Transfer pricing", "domainList" : [ "ifrs", "sox", "pillar-2-implementation", "transfer-pricing" ], "domainSpecificKnowledge" : [ "IFRS", "SOX", "Pillar 2 implementation", "Transfer pricing" ], "communicationSkills" : "Simplify technical concepts; Influence stakeholders", "continuousLearning" : "Internal development programmes; Training; Certifications; Online learning platforms", "problemSolvingSkills" : "Analytical capability", "qualificationsBasic" : "A recognised accounting qualification, 4+ years post-qualified experience", "qualificationsPreferred" : "Prior in-house tax exposure, Experience working within a SOX-controlled environment, Knowledge of deferred tax modelling", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Hybrid Working | High-Impact Global Role | NYSE-Listed Environment Overview We’re looking for a confident and motivated tax professional to play a pivotal role in Endava’s global finance function. Reporting to our Head of Tax & Treasury in London, you will take ownership of the Group’s quarterly tax reporting and forecasting cycle—shaping the accuracy, insight and integrity of our tax position across the Group’s international footprint. Endava is a fast-growing, NYSE-listed, UK-headquartered technology services company operating under IFRS and within a SOX-compliant environment. This role offers the best of both worlds: the exposure and complexity of a listed global organisation, combined with a supportive, people-centred culture where your ideas will be welcomed and your expertise valued. Beyond core reporting, you’ll have opportunities to contribute to high-visibility strategic initiatives—such as Pillar 2 implementation, M&A, transfer pricing, tax risk reviews and ongoing process transformation projects. What You’ll Be Doing * Endava’s quarterly tax reporting and forecasting , ensuring high-quality outputs and robust insights for senior stakeholders. * Ensure compliance with IAS 12 and other tax-related accounting standards across the Group. * Partner closely with Group Finance and external auditors , becoming a trusted advisor and key point of contact for tax accounting matters. * Identify opportunities to automate, optimise and enhance processes , including leveraging technology to increase efficiency and accuracy. * Analyse effective tax rate drivers , model scenarios (including the impact of M&A), and conduct competitor benchmarking to support strategic decision-making. * Group-wide reporting initiatives such as Country-by-Country Reporting and Total Tax Contribution analysis. * Support statutory account preparation for individual entities. * Contribute to a wide range of global tax projects , providing exposure to diverse issues across jurisdictions and business lines. ## Qualifications What You Bring * A recognised accounting qualification (e.g., ACA, ACCA). * Strong technical experience in group consolidated tax reporting within a multinational or complex environment. * Excellent communication skills, with the ability to simplify technical concepts and influence stakeholders with clarity and confidence. * Strong analytical capability and attention to detail, with a mindset for continuous improvement. * Experience working with cross-functional teams, often across multiple time zones. * At least 4 years’ post-qualified experience in a relevant role. Desirable Experience (Nice to Have) * Prior in-house tax exposure. * Experience working within a SOX-controlled environment. * Knowledge of deferred tax modelling and related analytical tools. Why Join Endava? At Endava, you’ll join a collaborative, forward-thinking finance community within a company that continues to scale rapidly. You’ll have the opportunity to: * Make a real impact in shaping a key global process. * Work closely with senior leaders and gain exposure to strategic Group initiatives. * Grow your career within a listed, international organisation that invests in its people. * Benefit from a flexible, hybrid working environment and a culture built on trust, integrity and continuous learning. ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development : Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "Group Tax Reporting Manager at Endava. Skills: Tax reporting, Tax forecasting, SOX compliance. Manage quarterly tax reporting. 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And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Hybrid Working | High-Impact Global Role | NYSE-Listed Environment Overview We’re looking for a confident and motivated tax professional to play a pivotal role in Endava’s global finance function. Reporting to our Head of Tax & Treasury in London, you will take ownership of the Group’s quarterly tax reporting and forecasting cycle—shaping the accuracy, insight and integrity of our tax position across the Group’s international footprint. Endava is a fast-growing, NYSE-listed, UK-headquartered technology services company operating under IFRS and within a SOX-compliant environment. This role offers the best of both worlds: the exposure and complexity of a listed global organisation, combined with a supportive, people-centred culture where your ideas will be welcomed and your expertise valued. Beyond core reporting, you’ll have opportunities to contribute to high-visibility strategic initiatives—such as Pillar 2 implementation, M&A, transfer pricing, tax risk reviews and ongoing process transformation projects. What You’ll Be Doing * Endava’s quarterly tax reporting and forecasting , ensuring high-quality outputs and robust insights for senior stakeholders. * Ensure compliance with IAS 12 and other tax-related accounting standards across the Group. * Partner closely with Group Finance and external auditors , becoming a trusted advisor and key point of contact for tax accounting matters. * Identify opportunities to automate, optimise and enhance processes , including leveraging technology to increase efficiency and accuracy. * Analyse effective tax rate drivers , model scenarios (including the impact of M&A), and conduct competitor benchmarking to support strategic decision-making. * Group-wide reporting initiatives such as Country-by-Country Reporting and Total Tax Contribution analysis. * Support statutory account preparation for individual entities. * Contribute to a wide range of global tax projects , providing exposure to diverse issues across jurisdictions and business lines. ## Qualifications What You Bring * A recognised accounting qualification (e.g., ACA, ACCA). * Strong technical experience in group consolidated tax reporting within a multinational or complex environment. * Excellent communication skills, with the ability to simplify technical concepts and influence stakeholders with clarity and confidence. * Strong analytical capability and attention to detail, with a mindset for continuous improvement. * Experience working with cross-functional teams, often across multiple time zones. * At least 4 years’ post-qualified experience in a relevant role. Desirable Experience (Nice to Have) * Prior in-house tax exposure. * Experience working within a SOX-controlled environment. * Knowledge of deferred tax modelling and related analytical tools. Why Join Endava? At Endava, you’ll join a collaborative, forward-thinking finance community within a company that continues to scale rapidly. You’ll have the opportunity to: * Make a real impact in shaping a key global process. * Work closely with senior leaders and gain exposure to strategic Group initiatives. * Grow your career within a listed, international organisation that invests in its people. * Benefit from a flexible, hybrid working environment and a culture built on trust, integrity and continuous learning. ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development : Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "Group Tax Reporting Manager at Endava. Skills: Group tax reporting, Tax forecasting, SOX compliance. Manage quarterly tax reporting. 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true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8ced74d8ee00a0977ab1", "title" : "Marketing Analytics & Optimization Specialist", "company" : "ZODL", "industry" : "Marketing", "salary" : { "min" : 100000.0, "max" : 140000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T07:02:30.930", "fingerprint" : "4589fea7b489efdf5a8e5a67364338074a50606a22a1afe32a275488513a319f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/zodl/cee86612-7f08-4e99-8fbd-c63f24904b1a/application", "externalId" : "cee86612-7f08-4e99-8fbd-c63f24904b1a", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "technicalSkills" : "AI tools, Automation workflows, Google Analytics, App radar, Search Console, Mixpanel, SEO", "professionalSkills" : [ "Analytical thinking", "Creative marketing", "Experimentation", "Content creation", "Campaign strategy", "Growth initiatives", "Reporting systems", "Workflow optimization", "Keyword research", "Organic growth" ], "hardSkillsList" : [ "Marketing analytics", "Growth marketing", "Performance marketing", "Optimization", "Product marketing", "Data-driven marketing", "A/B testing", "Creative performance evaluation", "SEO principles", "Keyword research", "Organic growth strategies", "Pattern recognition" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Growth marketing", "level" : "intermediate" }, { "name" : "Performance marketing", "level" : "intermediate" }, { "name" : "Optimization", "level" : "intermediate" }, { "name" : "Product marketing", "level" : "intermediate" }, { "name" : "Data-driven marketing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Creative performance evaluation", "level" : "intermediate" }, { "name" : "SEO principles", "level" : "intermediate" }, { "name" : "Keyword research", "level" : "intermediate" }, { "name" : "Organic growth strategies", "level" : "intermediate" }, { "name" : "Pattern recognition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Marketing analytics, Growth marketing, Optimization, Experimentation", "majorSkillsList" : [ "Marketing analytics", "Growth marketing", "Optimization", "Experimentation" ], "coreResponsibilities" : "Analyze performance across channels, Track performance across socials, Track performance across websites, Track performance across App Store, Track performance across campaigns, Build dashboards, Build reporting systems, Connect marketing activity to user growth, Identify visuals that drive engagement, Identify narratives that drive engagement, Identify formats that drive engagement, Identify messaging that drives engagement, Link marketing engagement to Zodl downloads, Link marketing engagement to signups, Link marketing engagement to monthly active users, Link marketing engagement to product performance, Identify bottlenecks, Identify friction points, Use pattern recognition to identify resonance, Help replicate resonance, Identify AI tools, Implement AI tools, Optimize AI tools, Build workflows for efficiency, Build workflows for scalability, Build workflows for reporting, Build workflows for research, Build workflows for knowledge management, Build workflows for visibility, Explore AI for marketing operations, Explore AI for experimentation, Explore AI for content workflows, Explore AI for decision-making, Contribute to content creation, Collaborate with marketing team, Brainstorm marketing ideas, Develop creative direction, Plan launches, Plan announcements, Develop campaign strategy, Test narratives, Test formats, Test audiences, Test distribution strategies, Test engagement tactics, Recommend marketing actions, Iterate on marketing actions, Stop marketing actions, Surface high-leverage opportunities, Quantify impact, Provide rationale for prioritization, Develop hypotheses, Design experiments to validate hypotheses, Build culture of iteration, Build culture of data-driven learning, Improve SEO visibility, Improve conversion visibility", "teamCollaboration" : "Marketing Director; Comms Lead; Marketing team; Content & Comms Lead", "domainKnowledge" : "Zcash; Privacy; Financial sovereignty; Open systems; Digital money; User psychology", "domainList" : [ "zcash", "privacy", "financial-sovereignty", "open-systems", "digital-money", "user-psychology" ], "domainSpecificKnowledge" : [ "Zcash", "Privacy", "Financial sovereignty", "Open systems", "Digital money", "User psychology" ], "toolProficiency" : [ "Google Analytics", "App radar", "Search Console", "Mixpanel", "AI tools" ], "innovationCreativity" : "Creative marketing instincts; Creative collaboration", "problemSolvingSkills" : "Analytical thinking; Pattern recognition; Identify bottlenecks; Identify friction points; Root cause analysis", "outcomesObjectives" : "Increase Zodl adoption; Increase ecosystem engagement; Refine marketing strategy; Improve marketing effectiveness; Improve marketing efficiency; Improve user acquisition; Improve user retention; Improve user conversion; Identify new growth opportunities; Identify optimization paths; Build scalable growth systems; Build scalable reporting systems; Prioritize channels; Build marketing organization rooted in evidence", "qualificationsBasic" : "3+ years marketing analytics, 3+ years growth marketing, 3+ years performance marketing, 3+ years optimization, 3+ years product marketing, 3+ years data-driven marketing, Experience content marketing, Experience communications marketing, Experience campaigns marketing, Experience social media marketing, Experience creative marketing, Experience audience psychology, Connect marketing to product outcomes, Experience running A/B tests, Evaluate creative performance, Hands-on AI tools experience, Hands-on automation workflows experience, Hands-on analytics platforms experience, Hands-on reporting platforms experience, Experience SEO principles, Experience keyword research, Experience organic growth strategies, Understand marketing positioning, Understand marketing messaging, Understand user psychology, Understand product adoption, Translate signals into recommendations, Translate signals into prioritizations, Translate signals into strategies", "qualificationsPreferred" : "Experience working in crypto, Genuine interest in Zcash, Genuine interest in privacy, Genuine interest in financial sovereignty, Genuine interest in open systems, Genuine interest in future of digital money", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Location: Remote Reports to: Marketing Director Compensation: $100k-140k ABOUT ZODL Our mission at Zcash Open Development Lab (ZODL) is to put shielded ZEC into the hands of billions of people, and to that end, we created and launched Zodl, a Zcash-powered mobile wallet built for private payments. Along with other independent Zcash teams and developers, our team also supports Zcash through protocol development. THE ROLE We’re looking for a Marketing Analytics & Optimization Specialist to help drive the next phase of growth for ZODL and the Zodl wallet. This role sits at the intersection of analytics, experimentation, content, and growth. You’ll work closely with our Marketing Director and Comms Lead to understand what drives attention, engagement, conversion, retention, and long-term adoption across our marketing and ecosystem efforts. You will help build the analytical foundation behind our marketing organization. You will identify patterns, measure performance, improve efficiency, and help us make smarter decisions across content, campaigns, user acquisition, and growth initiatives. You will help us understand what resonates, which initiatives drive results, and how we should optimize every aspect of our marketing to increase Zodl adoption and overall ecosystem engagement. This role is ideal for someone who combines strong analytical thinking with creative marketing instincts. You should be comfortable moving between analytics, experimentation, and creative collaboration across the broader marketing function. WHY THIS ROLE MATTERS Marketing decisions are often driven by instinct, assumptions, trends, and vanity metrics. We want to build something more rigorous. To grow Zodl adoption, we need to understand what leads to meaningful conversions. You'll help us measure performance, identify opportunities, improve efficiency, and guide decision-making through data rather than assumptions. You will help us treat marketing like a science: form hypotheses, test, measure, and iterate. But numbers alone are not enough. The goal of this role is not simply to report metrics, but to deeply understand how positioning, messaging, content, design, product perception, and user psychology influence growth and adoption. You will be a foundational pillar of our new marketing team. Your work will help us: - Refine marketing strategy using analytics and experimentation - Improve the effectiveness and efficiency of the marketing organization - Improve user acquisition, retention, and conversion - Identify new growth opportunities and optimization paths - Build scalable growth and reporting systems - Prioritize channels that matter - Build a marketing organization rooted in evidence, not guesswork WHAT YOU’LL DO Analyze performance across channels - Track performance across socials, websites, App Store listings, campaigns, and other channels - Build dashboards and reporting systems that show what’s working in real time Connect marketing activity to user growth - Identify which visuals, narratives, formats, and messaging produce the strongest engagement and downstream conversions, not just engagement - Link marketing engagement to Zodl downloads, signups, monthly active users, and other product performance metrics - Identify bottlenecks and friction points - Use pattern recognition to identify what consistently resonates and help us replicate it AI systems + workflow optimization - Help identify, implement, and optimize AI tools and automation systems across the marketing organization - Build workflows that improve efficiency, scalability, reporting, research, knowledge management, and visibility across the team - Explore how AI can improve marketing operations, experimentation, content workflows, and decision-making Content, creation, collaboration, and experimentation - Contribute to content creation across marketing channels when needed, including social posts, articles, clips, and other lightweight marketing assets - Collaborate closely with the marketing team on brainstorming, creative direction, launches, announcements, and campaign strategy - Work with the Content & Comms Lead to test narratives, formats, audiences, distribution strategies, and engagement tactics - Think critically about how content, analytics, psychology, and distribution interact to drive growth Drive data-informed decisions - Recommend what we should do more of, iterate on, or stop doing entirely - Surface high-leverage opportunities based on trends, performance, and experimentation - Quantify impact and provide clear rationale for prioritization - Develop hypotheses and design experiments to validate them - Build a culture of iteration and data-driven learning SEO + discoverability optimization - Improve visibility and conversion across platforms such as App Store, Google Search, social platforms, and other discovery surfaces - Optimize titles, descriptions, keywords, metadata, landing pages, and content structures for discoverability and performance - Identify search trends and organic growth opportunities related to Zcash and Zodl Weekly strategic insights and reporting You’ll deliver concise, high-value weekly reports summarizing: - Key performance metrics - Trends in user behavior - Insights from experiments - Industry and competitor trends - Product performance - Recommendations You’ll help create a clear picture of what’s moving the needle, what isn’t, and where the biggest growth opportunities exist. What Makes You a Great Fit - You are deeply curious and enjoy figuring out why something works or doesn’t work - You understand funnels, how users move through acquisition, activation, retention, and referral flows - You can synthesize data, trends, feedback, research, and performance insights from multiple sources into clear recommendations - You lean naturally toward analytics, numbers, experimentation, systems, and optimization, but you also genuinely enjoy the creative side of marketing and want to contribute beyond dashboards and reporting - You are comfortable creating marketing content when needed, which includes writing posts, creating and editing videos, and exploring other forms of promotional and educational content. - You have strong growth instincts and enjoy experimenting with ideas, formats, messaging, and channels - You are comfortable working across multiple tools, platforms, and workflows, and constantly looking for ways to optimize the process - You communicate insights clearly and can translate data into actionable recommendations - You handle ambiguity well and enjoy improving imperfect systems over time - You handle feedback well and care more about improving outcomes than protecting a particular idea - You are highly collaborative and also can manage projects independently and execute consistently in a remote environment - You are proactive and comfortable operating with autonomy in a fast-moving environment - You are highly organized REQUIREMENTS - Experience working in crypto and genuine interest in Zcash, privacy, financial sovereignty, open systems, and the future of digital money - 3+ years of experience in marketing analytics, growth marketing, performance marketing, optimization, product marketing, or related data-driven marketing roles - Experience in content, communications, campaigns, social media, or other marketing roles that demonstrate strong creative instincts and understanding of audience psychology - Demonstrated ability to connect marketing activity to product outcomes: downloads, signups, retention, monthly active users, and measurable growth. - Strong analytical and pattern-recognition skills, with the ability to spot trends, anomalies, and insights across large data sets. - Experience running A/B tests and evaluating creative performance across channels (social, website, app store, campaigns). - Hands-on experience with AI tools and automation workflows - Hands-on experience with analytics and reporting platforms such as Google Analytics, App radar, Search Console, Mixpanel and similar tools - Experience with SEO principles, keyword research, and organic growth strategies - Ability to understand marketing performance within the broader context of positioning, messaging, user psychology, and product adoption - Ability to translate signals from across marketing, product, user behavior, analytics, and ecosystem activity into clear recommendations, prioritizations, and strategies", "summaryDescription" : "Marketing Analytics & Optimization Specialist at ZODL. Skills: Marketing analytics, Growth marketing, Optimization, Experimentation. Analyze performance across channels. Track performance across socials", "createdAt" : "2026-06-14T09:29:10.296", "lastUpdated" : "2026-06-15T07:02:30.930", "ingestTimestamp" : "2026-06-14T09:29:10.296", "mongoId" : "6a2c8ced74d8ee00a0977ab1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 140000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Marketing analytics", "Growth marketing", "Performance marketing", "Optimization", "Product marketing", "Data-driven marketing", "A/B testing", "Creative performance evaluation", "SEO principles", "Keyword research", "Organic growth strategies", "Pattern recognition", "Critical thinking", "Experimentation", "Analytical thinking", "Creative marketing", "Content creation", "Campaign strategy", "Growth initiatives", "Reporting systems", "Workflow optimization", "Organic growth", "Zcash", "Privacy", "Financial sovereignty", "Open systems", "Digital money", "User psychology", "Google Analytics", "App radar", "Search Console", "Mixpanel", "AI tools" ], "skillCount" : 33, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a30854af292fd229c07834a", "title" : "Analytics Engineering Manager", "company" : "Deliveroo", "industry" : "Tech & Product Groups", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Analytics Engineering Manager in London, UK, adjusted for manager seniority and the e-commerce industry." }, "location" : "London - The River Building HQ", "locations" : [ "London - The River Building HQ" ], "timestamp" : "2026-06-16T15:35:10.191", "fingerprint" : "02da0a09d824b45c295c523a6058c77d1b3857b7dd3f5ea6230a553be7d4fa43", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/deliveroo/ceb2886a-e543-4315-bc02-8d8e57f42a7c/application", "externalId" : "ceb2886a-e543-4315-bc02-8d8e57f42a7c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Data modelling", "Data quality practices", "Architectural decisions" ], "hardSkillsList" : [ "Analytics Engineering", "BI Engineering", "Data Engineering" ], "hardSkills" : [ { "name" : "Analytics Engineering", "level" : "intermediate" }, { "name" : "BI Engineering", "level" : "intermediate" }, { "name" : "Data Engineering", "level" : "intermediate" } ], "majorSkills" : "Data products mindset, Team leadership", "majorSkillsList" : [ "Data products mindset", "Team leadership" ], "coreResponsibilities" : "Lead a team of Analytics Engineers, Own the AE roadmap for domain, Identify highest-leverage investments, Prioritize competing requests, Build case for investments, Drive data products mindset, Build clear ownership, Build SLAs, Build observability, Build data contracts, Review data models, Review SQL, Guide architectural decisions, Step in hands-on, Contribute to AE-wide decisions, Shape AE standards, Shape AE culture, Shape AE direction, Build high-performing team culture, Give actionable feedback, Handle performance challenges, Handle motivation challenges, Run effective rituals, Partner with Recruiting, Hire AE talent", "teamCollaboration" : "Business stakeholders; Product stakeholders; Senior business level; Senior product level; Recruiting", "projectManagementSkills" : [ "Roadmap planning", "Prioritization" ], "domainKnowledge" : "Marketplace analytics; E-commerce analytics; Grocery analytics; Retail analytics; AI for Data; Agentic AI methods; Semantic layers; AI-assisted analytics", "domainList" : [ "marketplace-analytics", "e-commerce-analytics", "grocery-analytics", "retail-analytics", "ai-for-data", "agentic-ai-methods", "semantic-layers", "ai-assisted-analytics" ], "domainSpecificKnowledge" : [ "Marketplace analytics", "E-commerce analytics", "Grocery analytics", "Retail analytics", "AI for Data", "Agentic AI methods", "Semantic layers", "AI-assisted analytics" ], "communicationSkills" : "Influencing senior level", "problemSolvingSkills" : "Unblock your team", "outcomesObjectives" : "Deliver against roadmap with measurable business impact", "qualificationsBasic" : "Strong, hands-on SQL foundations, Proven experience managing a team, Track record of developing people, Experience owning a technical roadmap, Grounding across modern AE stack, Ability to engage credibly on technical decisions, Comfortable engaging and influencing senior business and product level", "qualificationsPreferred" : "Experience in marketplace, e-commerce, grocery or retail analytics context, Familiarity with semantic and metrics layer tooling, Python for data automation and pipeline work, Exposure to AI for Data, Agentic AI methods experience, Semantic layers experience, AI-assisted analytics workflows experience, Experience contributing to analytics ways of working", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Analytics organisation sits at the heart of Deliveroo powering decision-making across our 3 sided marketplace. We’re looking for an Analytics Engineering Manager to join our London team. This is a hybrid role, with 3 days per week on-site. In this role, you’ll lead a team of Analytics Engineers embedded in a key business domain, owning the pipelines, models and metrics that power day-to-day decisions and building the data foundations your stakeholders rely on. ABOUT THE ANALYTICS ENGINEERING ORG Analytics Engineering is a core pillar of Deliveroo’s Analytics organisation, alongside Data Science. With over 70 Analytics Engineers across the UK and India, we are embedded directly within product and business domains, owning the pipelines, models and metrics that power decision-making at scale: from self-serve AI-enabled analytics and experimentation through to executive reporting and strategic planning. The discipline is evolving fast. With new tooling changing how we work, we are shifting from building data pipelines to building AI first data products, developing rich semantic and data context layers and empowering self-serve data users. This role leads that work across a defined business domain, directly managing a team of Analytics Engineers and helping shape AE standards, culture and direction across the wider org. WHAT YOU'LL BE DOING - Directly lead a team of Analytics Engineers embedded in a defined business domain, owning their performance, development and wellbeing - Own the AE roadmap for your domain, identifying the highest-leverage investments, prioritising competing requests, and building the case for them with your business and product stakeholders - Drive a data products mindset across your estate: clear ownership, SLAs, observability and data contracts built into how your team works by default - Maintain strong technical involvement: reviewing data models and SQL, guiding architectural decisions, and stepping in hands-on when your team needs unblocking - Contribute to AE-wide decisions on tooling, standards and process, helping shape how Analytics Engineering works at Deliveroo beyond your immediate team - Build a high-performing, inclusive team culture by giving regular and actionable feedback, handling performance and motivation challenges, and running effective rituals - Partner with Recruiting to hire strong, diverse AE talent into your team WHAT YOU'LL NEED TO THRIVE ESSENTIAL - Experience in an Analytics Engineering, BI Engineering, or Data Engineering role, with strong, hands-on SQL foundations you still draw on regularly - Proven experience managing a team of ICs, with a track record of developing people, giving hard feedback, and handling typical team situations independently - Demonstrated ability to own a technical roadmap for a domain area and deliver against it with measurable business impact - Strong grounding across the modern AE stack (cloud data warehousing, transformation tooling, data modelling, and data quality practices), with the ability to engage credibly on technical decisions and unblock your team - Comfortable engaging and influencing at senior business and product level, with experience aligning analytics investment to domain priorities NICE TO HAVE - Experience in a marketplace, e-commerce, grocery or retail analytics context - Familiarity with semantic and metrics layer tooling, or Python for data automation and pipeline work - Exposure to AI for Data, including agentic AI methods, semantic layers, or AI-assisted analytics workflows - Experience contributing to analytics ways of working: documentation standards, peer review processes, onboarding, and knowledge sharing WHY JOIN US? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: \uD83D\uDD27 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. \uD83C\uDF31See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. \uD83E\uDDE0Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. \uD83C\uDF0EA culture built for builders High standards, collaboration, flexible working and continuous learning. \uD83D\uDCB0 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. OUR GLOBAL STRUCTURE Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. DIVERSITY, EQUITY AND INCLUSION At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!", "summaryDescription" : "Analytics Engineering Manager at Deliveroo. Skills: Data products mindset, Team leadership. Lead a team of Analytics Engineers. Own the AE roadmap for domain", "createdAt" : "2026-06-16T01:59:25.109", "lastUpdated" : "2026-06-16T15:35:10.191", "ingestTimestamp" : "2026-06-16T01:59:25.109", "mongoId" : "6a30854af292fd229c07834a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Analytics Engineering", "BI Engineering", "Data Engineering", "Data products mindset", "Team leadership", "Data modelling", "Data quality practices", "Architectural decisions", "Roadmap planning", "Prioritization", "Marketplace analytics", "E-commerce analytics", "Grocery analytics", "Retail analytics", "AI for Data", "Agentic AI methods", "Semantic layers", "AI-assisted analytics" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "69c94a889bc74574cbbb5128", "title" : "Campaign & Creative Manager", "company" : "Amazon Commercial Services Pty Ltd", "industry" : "Sales, Advertising, Account Management", "salary" : { "min" : 115500.0, "max" : 165000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Campaign & Creative Manager in Sydney, Australia, adjusted for mid-seniority and the e-commerce industry." }, "location" : "Sydney, New South Wales, AUS", "locations" : [ "Sydney, New South Wales, AUS" ], "timestamp" : "2026-06-15T01:47:34.905", "fingerprint" : "ee7576036368a3e8efc5cd83399a4918a435973fd4152ce0a320eb9709c53876", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3199393/apply", "externalId" : "ac0c450d-f841-4fb7-bef4-19a819e68eff", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "professionalSkills" : [ "Project management", "Creative strategy" ], "hardSkillsList" : [ "Data analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Campaign management, Creative strategy, Advertiser education", "majorSkillsList" : [ "Campaign management", "Creative strategy", "Advertiser education" ], "coreResponsibilities" : "Plan retail sponsorship opportunities, Develop retail sponsorship opportunities, Coordinate retail sponsorship opportunities, Manage planning advertiser engagements, Manage delivery advertiser engagements, Educate advertisers on policies, Educate advertisers on best practices, Project manage digital advertising campaigns, Provide strategic insights campaign performance, Provide strategic insights growth, Provide strategic insights product adoption", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Digital advertising; E-commerce; Online advertising", "domainList" : [ "digital-advertising", "e-commerce", "online-advertising" ], "domainSpecificKnowledge" : [ "Digital advertising", "E-commerce", "Online advertising" ], "problemSolvingSkills" : "Data analysis", "qualificationsBasic" : "3+ years digital advertising experience, 3+ years client facing roles experience, Experience analyzing data, Experience assessing performance drivers", "qualificationsPreferred" : "Experience in e-commerce, Experience in online advertising, Experience optimizing products, Experience optimizing services", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "For our fast growing team based in Sydney we're looking for a Campaign & Creative Manager (CCM) to work with advertisers and agencies as part of the growing Amazon Advertising organization. CCMs are responsible for making our advertisers successful marketers through seamless project management of Advertising campaigns across Prime Video Ads, Twitch, Amazon, IMDb through always on activations and bespoke Sponsorships. CCM's use data-driven creative strategy recommendations and ongoing advertiser education while upholding our shopper-customers’ experience. Key job responsibilities - Plan, develop and coordinate retail sponsorship opportunities - Manage the planning and delivery of high quality advertiser engagements - Educate advertisers on Amazon policies and creative best practices to positively impact campaign performance - Project managing the execution of digital advertising campaigns - Provide creative strategic insights for campaign performance, growth and product adoption About the team Amazon Advertising operates at the intersection of advertising and eCommerce, and offers advertisers a rich array of media solutions across Amazon’s mobile and desktop websites, proprietary devices including Kindle and Fire TV, and the Amazon Programmatic Demand Side Platform. Basic Qualifications: - 3+ years of digital advertising and client facing roles experience - Experience analyzing data and best practices to assess performance drivers Preferred Qualifications: - Experience in e-commerce or online advertising - Experience in optimizing products and services based on client needs Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Campaign & Creative Manager at Amazon Commercial Services Pty Ltd. Skills: Campaign management, Creative strategy, Advertiser education. Plan retail sponsorship opportunities. Develop retail sponsorship opportunities", "postedDate" : "2026-06-13T03:57:17.021", "createdAt" : "2026-06-13T03:57:17.021", "lastUpdated" : "2026-06-15T01:47:34.905", "ingestTimestamp" : "2026-06-13T03:57:17.021", "mongoId" : "69c94a889bc74574cbbb5128", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3199393/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Campaign management", "Creative strategy", "Advertiser education", "Project management", "Digital advertising", "E-commerce", "Online advertising" ], "skillCount" : 8, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a307a21f292fd229c03866c", "title" : "Manager, Data Analytics", "company" : "Empower Pharmacy", "industry" : "Pharma", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager, Data Analytics in Houston, United States, adjusted for the healthcare industry and manager seniority." }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States" ], "timestamp" : "2026-06-16T13:26:43.592", "fingerprint" : "05f21b76f4c8516ae23bcccc23667970a3adf873d1d9a6b9878b1eb579f324ae", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.empowerpharmacy.com/jobs/4282342009?gh_jid=4282342009", "externalId" : "4282342009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "AI", "professionalSkills" : [ "Data governance", "Compliance" ], "hardSkillsList" : [ "Data analytics" ], "softSkillsList" : [ "Customer Focus", "Strategic AI", "Optimizes Work Processes", "Collaborates", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Communicates Effectively" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer Focus" }, { "name" : "Strategic AI" }, { "name" : "Optimizes Work Processes" }, { "name" : "Collaborates" }, { "name" : "Resourcefulness" }, { "name" : "Manages Complexity" }, { "name" : "Ensures Accountability" }, { "name" : "Situational Adaptability" }, { "name" : "Communicates Effectively" } ], "coreResponsibilities" : "Leverage AI to drive business innovation, Enhance data analytics capabilities", "domainKnowledge" : "Healthcare; Pharmaceutical manufacturing", "domainList" : [ "healthcare", "pharmaceutical-manufacturing" ], "domainSpecificKnowledge" : [ "Healthcare", "Pharmaceutical manufacturing" ], "specialRequirements" : "Talk and hear, Remain stationary, Use hands and fingers, Move about the office, Stand, walk, reach, Climb or balance, Stoop, kneel, crouch or crawl", "qualificationsBasic" : "5 years of experience in data analytics, 2 years in a leadership position, Experience in a highly regulated industry", "qualificationsPreferred" : "Proven track record of leveraging AI", "remoteFriendly" : false, "rawDescription" : "Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation’s most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we’re redefining what’s possible in personalized medicine and pharmaceutical manufacturing. We’re proud to be recognized as one of Houston’s fastest-growing private companies and ranked #116 in Healthcare Master’s preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.", "summaryDescription" : "Manager, Data Analytics at Empower Pharmacy. Leverage AI to drive business innovation. Enhance data analytics capabilities", "postedDate" : "2026-06-16T01:17:33.811", "createdAt" : "2026-06-16T01:17:33.811", "lastUpdated" : "2026-06-16T13:26:43.592", "ingestTimestamp" : "2026-06-16T01:17:33.811", "mongoId" : "6a307a21f292fd229c03866c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Customer Focus", "Strategic AI", "Optimizes Work Processes", "Collaborates", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Communicates Effectively", "Data governance", "Compliance", "Healthcare", "Pharmaceutical manufacturing" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a2c", "title" : "Manager, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 150000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida", "San Francisco Bay Area" ], "timestamp" : "2026-06-16T10:30:25.853", "fingerprint" : "8e5f537eeecee3ecfaa146354d28d42d7d6fcc6b8309023cd9f563c2a62d9e5a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/b834e277-07fb-4996-bcbb-ef8819da2278/application", "externalId" : "b834e277-07fb-4996-bcbb-ef8819da2278", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Analytical problem solving" ], "hardSkillsList" : [ "Data analysis", "Metrics definition", "Report building", "Experiment design" ], "softSkillsList" : [ "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Report building", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" }, { "name" : "Owner" } ], "majorSkills" : "BizOps, Analytics, Data insights, Decision making", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights", "Decision making" ], "coreResponsibilities" : "Define business questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Inform product teams, Inform growth teams, Inform finance teams, Inform operations teams", "teamCollaboration" : "Embedded in business units; Cross-functional collaboration", "domainKnowledge" : "Car insurance; Driving insights; Car maintenance; Car repair; Home ownership; Motorcycle ownership; RV ownership", "domainList" : [ "car-insurance", "driving-insights", "car-maintenance", "car-repair", "home-ownership", "motorcycle-ownership", "rv-ownership" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Car maintenance", "Car repair", "Home ownership", "Motorcycle ownership", "RV ownership" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Precise speaking; Clear writing", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Move key metrics; Drive business impact; Grow customer base; Achieve $10B valuation", "qualificationsBasic" : "4+ years consulting firm experience, 4+ years investment bank experience, 4+ years high-growth tech company experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning ambiguous problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence decisions at leadership level", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Manager, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights, Decision making. Define business questions. Define metrics", "createdAt" : "2026-06-16T00:30:28.593", "lastUpdated" : "2026-06-16T10:30:25.853", "ingestTimestamp" : "2026-06-16T00:30:28.593", "mongoId" : "6a305930f292fd229cf45a2c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Metrics definition", "Report building", "Experiment design", "Direct communicator", "Owner", "BizOps", "Analytics", "Data insights", "Decision making", "First principles thinking", "Analytical problem solving", "Car insurance", "Driving insights", "Car maintenance", "Car repair", "Home ownership", "Motorcycle ownership", "RV ownership", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 24, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305098f292fd229cef28f0", "title" : "Manager, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 150000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T11:53:03.487", "fingerprint" : "16310d9f286f3dc3f2bb697a6be37696d42ad4eb4074ea27b540c5adcfeef60a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/334d286d-4326-4c65-9327-68363bf6c26c/application", "externalId" : "334d286d-4326-4c65-9327-68363bf6c26c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Business analysis" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data pulling" ], "softSkillsList" : [ "Direct communication" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data pulling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communication" } ], "majorSkills" : "BizOps, Analytics, Problem solving", "majorSkillsList" : [ "BizOps", "Analytics", "Problem solving" ], "coreResponsibilities" : "Define business questions, Define analytical metrics, Build analytical reports, Run analytical analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Inform product teams, Inform growth teams, Inform finance teams, Inform operations teams", "teamCollaboration" : "Embedded business unit teams", "domainKnowledge" : "Car insurance; Driving insights; Vehicle diagnostics; Repair marketplace; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "driving-insights", "vehicle-diagnostics", "repair-marketplace", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Vehicle diagnostics", "Repair marketplace", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Write clearly; Speak precisely", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems", "outcomesObjectives" : "Grow 5M to 50M customers; Become $10B business", "qualificationsBasic" : "4+ years consulting firm experience, 4+ years investment bank experience, 4+ years high-growth tech company experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record owning ambiguous problems, Track record delivering impact, Clear communicator influence leadership, Persuasive communicator influence leadership", "remoteFriendly" : true, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Manager, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Problem solving. Define business questions. Define analytical metrics", "createdAt" : "2026-06-16T00:29:29.391", "lastUpdated" : "2026-06-16T11:53:03.487", "ingestTimestamp" : "2026-06-16T00:29:29.391", "mongoId" : "6a305098f292fd229cef28f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "Direct communication", "BizOps", "Analytics", "Problem solving", "First principles thinking", "Data analysis", "Business analysis", "Car insurance", "Driving insights", "Vehicle diagnostics", "Repair marketplace", "Home insurance", "Motorcycle insurance", "RV insurance", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305098f292fd229cef28ee", "title" : "Manager, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 150000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida", "San Francisco Bay Area" ], "timestamp" : "2026-06-16T14:01:14.140", "fingerprint" : "48e61d687d8de5391e01927623fdafa4a38c50d21e00e0b585e5963e5fa62426", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/b834e277-07fb-4996-bcbb-ef8819da2278/application", "externalId" : "b834e277-07fb-4996-bcbb-ef8819da2278", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving" ], "hardSkillsList" : [ "Data structuring", "Data interpretation" ], "softSkillsList" : [ "Direct communicator" ], "hardSkills" : [ { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" } ], "majorSkills" : "BizOps, Analytics, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights" ], "coreResponsibilities" : "Define business questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Communicate findings to counterparts, Drive decisions with counterparts", "teamCollaboration" : "Embedded in business units; Work with product; Work with growth; Work with finance; Work with operations", "domainKnowledge" : "Car ownership; Car insurance; Driving insights; Car diagnostics; Repair marketplace; Home ownership; Motorcycle ownership; RV ownership", "domainList" : [ "car-ownership", "car-insurance", "driving-insights", "car-diagnostics", "repair-marketplace", "home-ownership", "motorcycle-ownership", "rv-ownership" ], "domainSpecificKnowledge" : [ "Car ownership", "Car insurance", "Driving insights", "Car diagnostics", "Repair marketplace", "Home ownership", "Motorcycle ownership", "RV ownership" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Write clearly; Speak precisely", "problemSolvingSkills" : "Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Grow to 50M customers; Become $10B business", "qualificationsBasic" : "4+ years consulting experience, 4+ years investment bank experience, 4+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Manager, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights. Define business questions. Define metrics", "createdAt" : "2026-06-16T00:28:14.627", "lastUpdated" : "2026-06-16T14:01:14.140", "ingestTimestamp" : "2026-06-16T00:28:14.627", "mongoId" : "6a305098f292fd229cef28ee", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data structuring", "Data interpretation", "Direct communicator", "BizOps", "Analytics", "Data insights", "First principles thinking", "Data analysis", "Problem solving", "Car ownership", "Car insurance", "Driving insights", "Car diagnostics", "Repair marketplace", "Home ownership", "Motorcycle ownership", "RV ownership", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a2d", "title" : "Manager, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 150000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T10:14:27.498", "fingerprint" : "03f1d4929417142ddfa4b69f725ec7c30e0b610b33a34c77ca8e3daf2a070902", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/334d286d-4326-4c65-9327-68363bf6c26c/application", "externalId" : "334d286d-4326-4c65-9327-68363bf6c26c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data pulling" ], "softSkillsList" : [ "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data pulling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" }, { "name" : "Owner" } ], "majorSkills" : "BizOps, Analytics, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights" ], "coreResponsibilities" : "Define business questions, Push back on flawed questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Tell counterparts what is happening, Tell counterparts why it is happening, Tell counterparts what next steps should be", "teamCollaboration" : "Embedded in business units; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car insurance; Driving insights; Car diagnostics; Repair marketplace; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "driving-insights", "car-diagnostics", "repair-marketplace", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Car diagnostics", "Repair marketplace", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Write clearly; Speak precisely; Walk skeptical stakeholder through finding; Get buy-in quickly", "problemSolvingSkills" : "Break ambiguous problems into hypotheses; First principles thinker", "outcomesObjectives" : "Move team's key metrics; Drive business impact; Grow to 50M customers; Become $10B business", "qualificationsBasic" : "4+ years consulting firm experience, 4+ years investment bank experience, 4+ years high-growth tech company experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record owning ambiguous problems, Track record delivering impact, Clear communicator, Persuasive communicator, Influence decisions at leadership level", "remoteFriendly" : true, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Manager, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights. Define business questions. Push back on flawed questions", "createdAt" : "2026-06-16T00:28:14.625", "lastUpdated" : "2026-06-16T10:14:27.498", "ingestTimestamp" : "2026-06-16T00:28:14.625", "mongoId" : "6a305930f292fd229cf45a2d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "Direct communicator", "Owner", "BizOps", "Analytics", "Data insights", "First principles thinking", "Data analysis", "Problem solving", "Car insurance", "Driving insights", "Car diagnostics", "Repair marketplace", "Home insurance", "Motorcycle insurance", "RV insurance", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7d8b74d8ee00a094ffb9", "title" : "Director, Customer Marketing & Intelligence", "company" : "Housecall Pro", "salary" : { "min" : 122000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T06:00:23.197", "fingerprint" : "41d9e13056df9892ad49749b4b4f77afd00885abc9ef6ba4b49b55bed434ac22", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.housecallpro.com/careers/open-positions/?gh_jid=6024988004", "externalId" : "6024988004", "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" }, { "city" : "Tel Aviv", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" }, { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Chicago, Illinois, United States; Tel Aviv, Israel; United States", "experienceLevel" : "Director", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "softSkillsList" : [ "Leadership" ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Customer marketing, Marketing intelligence", "majorSkillsList" : [ "Customer marketing", "Marketing intelligence" ], "coreResponsibilities" : "Zoom out to strategy, Zoom in to campaign details", "workSiteFlexibility" : "Remote", "rawDescription" : "Why Housecall Pro? Help us build solutions that build better lives. At Housecall Pro, we show up to work every day to make a difference for real people: the home service professionals that support America’s 100 million homes. We’re all about the Pro, and dedicate our days to helping them streamline operations, scale their businesses, and—ultimately—save time so they can be with their families and live well. While our headquarters are based in Denver, Colorado, our team spans the globe, with teammates across Brazil, Poland, the Philippines, Mexico, and beyond. We care deeply about our customers and foster a culture where our company, people and Pros grow and succeed together—no matter where they’re based. Leadership is as focused on growing team members’ careers as they expect their teams to be on creating solutions for Pros. We also offer: A generous benefits program that supports the whole you with medical, dental, vision, life, disability, and 401(k) Paid holidays and flexible, take-it-as-you-need-it paid time off Equity in a rapidly growing startup backed by top-tier VCs Monthly tech reimbursements A culture built on innovation that values big ideas, no matter where they come from Role Overview As a Director, Customer Marketing able to zoom out to strategy and zoom in to campaign details Location Dependent Information This role is open to candidates and the expected salary range for this role is $122,000-$165,000 + bonus + equity. The specific salary for the successful candidate will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible to participate in Housecall Pro’s equity plan and the following benefits: health care insurance (medical, dental, vision, disability), employee assistance program, 401(K), flexible time off, paid parental leave, tech reimbursement, and other company benefits. Housecall Pro is growing fast and we’re scaling our team to help enable and accelerate our growth. Use of Artificial Intelligence in Hiring and Engagement Processes: We may use artificial intelligence (AI)-powered tools to support the review and evaluation of employment and independent contractor applications, including screening and qualification assessments. All final hiring and engagement decisions are made by human representatives, not AI tools. Founded in 2013, Housecall Pro helps home service professionals (Pros) streamline every aspect of their business. With easy-to-use tools for scheduling, dispatching, payments, and more, Housecall Pro enables Pros to save time, grow profitably, and provide best-in-class service. Housecall Pro’s brand portfolio includes Business Coaching by Housecall Pro, a business coaching solution for home services businesses. Our brands are united by a singular mission to champion our Pros to success. We support more than 50,000 businesses and have over 2,000 ambitious, mission-driven, genuinely fun-loving teammates across the globe. If you want to do work that impacts real people, supported by a team that will invest in you every step of the way, we’d love to hear from you. Housecall Pro celebrates diversity and we are committed to creating an inclusive environment. We are an equal opportunity employer and do not discriminate on the basis of gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. #LI-Remote Privacy Notice for California Job Candidates - Housecall Pro", "summaryDescription" : "Director, Customer Marketing & Intelligence at Housecall Pro. Skills: Customer marketing, Marketing intelligence. Zoom out to strategy. Zoom in to campaign details", "postedDate" : "2026-06-13T16:50:53.458", "createdAt" : "2026-06-13T16:50:53.458", "lastUpdated" : "2026-06-15T06:00:23.197", "ingestTimestamp" : "2026-06-13T16:50:53.458", "mongoId" : "6a2c7d8b74d8ee00a094ffb9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 122000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Leadership", "Customer marketing", "Marketing intelligence", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 7, "jobCategory" : "marketing", "jobSubcategory" : "marketing", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30811cf292fd229c068df8", "title" : "Email Campaign Manager - Fixed Term Contract", "company" : "LinkedIn", "industry" : "Internet", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Mid-level Email Campaign Managers in Bulgaria, adjusted for the technology industry and a remote work mode." }, "location" : "Mexico City, CDMX, MX", "locations" : [ "Mexico City", "CDMX", "MX" ], "timestamp" : "2026-06-16T12:37:51.015", "fingerprint" : "274bd967a9dd059f3122ab7e5e1d52859833675223ba7aed908f8210ee5ccce2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LinkedIn3/744000132289469-email-campaign-manager-fixed-term-contract", "externalId" : "744000132289469", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "HTML, CSS, SQL", "professionalSkills" : [ "Email execution", "Campaign performance", "Project management", "Production requirements", "Stakeholder communication" ], "hardSkillsList" : [ "Email marketing", "Campaign management", "Responsive email development", "Marketing automation", "Audience segmentation", "Multitasking", "Cross-functional leadership" ], "hardSkills" : [ { "name" : "Email marketing", "level" : "intermediate" }, { "name" : "Campaign management", "level" : "intermediate" }, { "name" : "Responsive email development", "level" : "intermediate" }, { "name" : "Marketing automation", "level" : "intermediate" }, { "name" : "Audience segmentation", "level" : "intermediate" }, { "name" : "Multitasking", "level" : "intermediate" }, { "name" : "Cross-functional leadership", "level" : "intermediate" } ], "majorSkills" : "Email Campaign Management, Responsive Email Development, Marketing Automation, Project Management", "majorSkillsList" : [ "Email Campaign Management", "Responsive Email Development", "Marketing Automation", "Project Management" ], "coreResponsibilities" : "Oversee email marketing campaigns, Manage project timelines, Manage project scopes, Provide optimization recommendations, Advise on email execution, Advise on campaign performance, Architect campaign workflows, Build complex campaign workflows, Create scalable templates, Create scalable playbooks, Create scalable trainings, Collaborate on project management requirements, Collaborate on production requirements, Leverage shared resources, Set up A/B test email campaigns, Analyze email campaign performance, Report email campaign results, Report email campaign recommendations, Implement email programs, Work with production teams, Ensure effective use of platforms, Ensure effective use of tools, Contribute to channel strategies, Contribute to campaign planning", "teamCollaboration" : "Cross-functional collaboration; Work with production teams; Collaborate with Owned Media Team", "projectManagementSkills" : [ "Project management", "Multitasking", "Deadline-driven environments" ], "domainKnowledge" : "Email marketing platforms; Owned media; Channel strategy", "domainList" : [ "email-marketing-platforms", "owned-media", "channel-strategy" ], "domainSpecificKnowledge" : [ "Email marketing platforms", "Owned media", "Channel strategy" ], "toolProficiency" : [ "Adobe Campaign" ], "communicationSkills" : "Tailor messaging", "documentationSkills" : "Create playbooks; Create trainings", "qualificationsBasic" : "4+ years experience deploying high-volume emails, Business fluency in English", "qualificationsPreferred" : "1+ year managing offshore teams, BAS degree, Ability to collaborate with production teams, Understand platform capabilities, Experience in Adobe Campaign, Proficient in responsive email design, Proficient in front-end development, Working knowledge of HTML/CSS, Working knowledge of SQL", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role is part of LinkedIn’s broader effort to build and scale an in-house owned media agency, including the creation of tools that will significantly increase production speed and operational efficiency. As such, the position is structured as a 12-month contractor role. This role will be based in Mexico. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is remote, meaning it will be performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval. Job Overview The Owned In-House Agency Team supports the LinkedIn Owned Media team, which leads channel strategy, prioritization, and performance across Email and LinkedIn Ads. This team partners closely with Owned Media to bring campaigns to life at scale, ensuring high-quality execution and operational excellence across a complex portfolio. This includes driving execution of campaign builds, QA, and reporting insights based on the Owned Media team's strategy and priorities. This team also plays a key role in enabling efficiency and consistency through the use and enablement of technology, automation, and tooling—delivering impact through execution, scalability, and continuous improvement within a high-performing marketing organization. The Email Campaign Manager is responsible for overseeing and executing ongoing email marketing programs within a designated business line. This role provides strategic recommendations for email execution, manages project workflows, and determines resource needs for new requests. The Email Campaign Manager is accountable for implementing email programs after the Owned Media Team has established the overall channel strategy. Responsibilities * Oversee and manage the day-to-day operations of multiple email marketing campaigns to ensure timely and accurate delivery. * Manage project timelines and scopes to maintain schedule and quality standards. * Provide recommendations to optimize or advise on email execution and campaign performance. * Architect and build new and complex campaign workflows based on business requirements. * Create scalable templates, playbooks, and trainings for the production team. * Collaborate cross-functionally to determine project management and production requirements for new requests, leveraging shared resources as needed. * Set up and execute A/B test email campaigns, analyze performance, and report results and recommendations. * Implement email programs based on strategies developed by the Owned Media Team. * Work closely with production teams to ensure effective use of email marketing platforms and tools. * Contribute to the development or refinement of channel strategies as an integral part of campaign planning processes. ## Qualifications Qualifications Basic Qualifications * 4+ years of experience deploying high-volume emails using an email marketing platform or applicable experience * 1+ year of management experience; prior experience managing offshore teams is a plus * Business fluency in English, with the ability to tailor messaging for diverse audiences Preferred Qualifications * BA/BS degree * Ability to collaborate with production teams and understand platform capabilities * Experience and proficiency in Adobe Campaign * Proficient in responsive email design and front-end development * Working knowledge of HTML/CSS and SQL * Proven ability to manage multiple projects in a deadline-driven environment Suggested skills * Email Campaign Management * Responsive Email Development (HTML, CSS) * Marketing Automation & Audience Segmentation (SQL) * Project Management & Multitasking in Deadline-driven Environments * Cross-functional Leadership & Stakeholder Communication ## Additional Information Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.", "summaryDescription" : "Email Campaign Manager - Fixed Term Contract at LinkedIn. Skills: Email Campaign Management, Responsive Email Development, Marketing Automation, Project Management. Oversee email marketing campaigns. Manage project timelines", "postedDate" : "2026-06-15T21:44:33.000", "createdAt" : "2026-06-16T01:44:10.450", "lastUpdated" : "2026-06-16T12:37:51.015", "ingestTimestamp" : "2026-06-16T01:44:10.450", "mongoId" : "6a30811cf292fd229c068df8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Email marketing", "Campaign management", "Responsive email development", "Marketing automation", "Audience segmentation", "Multitasking", "Cross-functional leadership", "Email Campaign Management", "Responsive Email Development", "Marketing Automation", "Project Management", "Email execution", "Campaign performance", "Project management", "Production requirements", "Stakeholder communication", "Deadline-driven environments", "Email marketing platforms", "Owned media", "Channel strategy", "Adobe Campaign" ], "skillCount" : 21, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30730ff292fd229c000449", "title" : "Email Campaign Manager - Fixed Term Contract", "company" : "LinkedIn", "industry" : "Internet", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Mid-level Email Campaign Managers in Bulgaria, adjusted for the technology industry and a remote work mode." }, "location" : "Mexico City, CDMX, MX", "locations" : [ "Mexico City", "CDMX", "MX" ], "timestamp" : "2026-06-16T13:57:18.125", "fingerprint" : "58b28f327e79facbf5a740ff016866decebc8db5b258cc8e3a6cec0a6d57041f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LinkedIn3/744000132289469-email-campaign-manager-fixed-term-contract", "externalId" : "744000132289469", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "HTML, CSS, SQL", "professionalSkills" : [ "Email marketing", "Project management", "Stakeholder communication" ], "hardSkillsList" : [ "Email campaign management", "Responsive email development", "Marketing automation", "Audience segmentation", "Multitasking" ], "hardSkills" : [ { "name" : "Email campaign management", "level" : "intermediate" }, { "name" : "Responsive email development", "level" : "intermediate" }, { "name" : "Marketing automation", "level" : "intermediate" }, { "name" : "Audience segmentation", "level" : "intermediate" }, { "name" : "Multitasking", "level" : "intermediate" } ], "majorSkills" : "Email campaign management, Marketing automation, Audience segmentation", "majorSkillsList" : [ "Email campaign management", "Marketing automation", "Audience segmentation" ], "coreResponsibilities" : "Oversee email marketing campaigns, Manage project timelines, Manage project scopes, Optimize email execution, Advise on campaign performance, Architect campaign workflows, Build complex workflows, Create scalable templates, Create playbooks, Create trainings, Collaborate on project management requirements, Collaborate on production requirements, Leverage shared resources, Set up A/B test campaigns, Execute A/B test campaigns, Analyze campaign performance, Report campaign results, Report recommendations, Implement email programs, Work with production teams, Ensure effective use of platforms, Ensure effective use of tools, Contribute to channel strategies, Contribute to campaign planning", "teamCollaboration" : "Cross-functional collaboration; Work with production teams", "projectManagementSkills" : [ "Project management", "Multitasking" ], "domainKnowledge" : "Email marketing platforms; Responsive email design; Front-end development", "domainList" : [ "email-marketing-platforms", "responsive-email-design", "front-end-development" ], "domainSpecificKnowledge" : [ "Email marketing platforms", "Responsive email design", "Front-end development" ], "toolProficiency" : [ "Adobe Campaign" ], "communicationSkills" : "Tailor messaging", "qualificationsBasic" : "4+ years experience deploying high-volume emails, Business fluency in English", "qualificationsPreferred" : "1+ year managing offshore teams, BAS degree, Ability to collaborate with production teams, Understand platform capabilities, Experience in Adobe Campaign, Proficient in responsive email design, Proficient in front-end development, Working knowledge of HTML/CSS, Working knowledge of SQL", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role is part of LinkedIn’s broader effort to build and scale an in-house owned media agency, including the creation of tools that will significantly increase production speed and operational efficiency. As such, the position is structured as a 12-month contractor role. This role will be based in Mexico. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is remote, meaning it will be performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval. Job Overview The Owned In-House Agency Team supports the LinkedIn Owned Media team, which leads channel strategy, prioritization, and performance across Email and LinkedIn Ads. This team partners closely with Owned Media to bring campaigns to life at scale, ensuring high-quality execution and operational excellence across a complex portfolio. This includes driving execution of campaign builds, QA, and reporting insights based on the Owned Media team's strategy and priorities. This team also plays a key role in enabling efficiency and consistency through the use and enablement of technology, automation, and tooling—delivering impact through execution, scalability, and continuous improvement within a high-performing marketing organization. The Email Campaign Manager is responsible for overseeing and executing ongoing email marketing programs within a designated business line. This role provides strategic recommendations for email execution, manages project workflows, and determines resource needs for new requests. The Email Campaign Manager is accountable for implementing email programs after the Owned Media Team has established the overall channel strategy. Responsibilities * Oversee and manage the day-to-day operations of multiple email marketing campaigns to ensure timely and accurate delivery. * Manage project timelines and scopes to maintain schedule and quality standards. * Provide recommendations to optimize or advise on email execution and campaign performance. * Architect and build new and complex campaign workflows based on business requirements. * Create scalable templates, playbooks, and trainings for the production team. * Collaborate cross-functionally to determine project management and production requirements for new requests, leveraging shared resources as needed. * Set up and execute A/B test email campaigns, analyze performance, and report results and recommendations. * Implement email programs based on strategies developed by the Owned Media Team. * Work closely with production teams to ensure effective use of email marketing platforms and tools. * Contribute to the development or refinement of channel strategies as an integral part of campaign planning processes. ## Qualifications Qualifications Basic Qualifications * 4+ years of experience deploying high-volume emails using an email marketing platform or applicable experience * 1+ year of management experience; prior experience managing offshore teams is a plus * Business fluency in English, with the ability to tailor messaging for diverse audiences Preferred Qualifications * BA/BS degree * Ability to collaborate with production teams and understand platform capabilities * Experience and proficiency in Adobe Campaign * Proficient in responsive email design and front-end development * Working knowledge of HTML/CSS and SQL * Proven ability to manage multiple projects in a deadline-driven environment Suggested skills * Email Campaign Management * Responsive Email Development (HTML, CSS) * Marketing Automation & Audience Segmentation (SQL) * Project Management & Multitasking in Deadline-driven Environments * Cross-functional Leadership & Stakeholder Communication ## Additional Information Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.", "summaryDescription" : "Email Campaign Manager - Fixed Term Contract at LinkedIn. Skills: Email campaign management, Marketing automation, Audience segmentation. Oversee email marketing campaigns. Manage project timelines", "postedDate" : "2026-06-15T21:44:33.000", "createdAt" : "2026-06-16T01:34:31.300", "lastUpdated" : "2026-06-16T13:57:18.125", "ingestTimestamp" : "2026-06-16T01:34:31.300", "mongoId" : "6a30730ff292fd229c000449", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Email campaign management", "Responsive email development", "Marketing automation", "Audience segmentation", "Multitasking", "Email marketing", "Project management", "Stakeholder communication", "Email marketing platforms", "Responsive email design", "Front-end development", "Adobe Campaign" ], "skillCount" : 12, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "manager marketing analytics reporting campaign intelligence jobs", "metadata" : { "title" : "manager marketing analytics reporting campaign intelligence" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 119258, "totalPages" : 2386, "hasNext" : true, "hasPrevious" : false } }

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