{ "count" : 27006, "data" : [ { "id" : "6a305117f292fd229cef9627", "title" : "Associate Director, US Commercial Insights", "industry" : "Analyst", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the US market baseline for a Director-level position in the Pharma industry, adjusted for a remote work mode and the specified seniority and experience level." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T12:36:38.199", "fingerprint" : "e39a0d3b87e448b99ea46092bacd7366059cde0971be41107267d1cc0cbce7ad", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/230ccb81-fbca-4424-8e8b-f70b2c4d36f9/apply", "externalId" : "230ccb81-fbca-4424-8e8b-f70b2c4d36f9", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Director", "professionalSkills" : [ "Commercial strategy", "Market development", "Go-to-market strategies", "Competitive intelligence", "Commercial execution" ], "hardSkillsList" : [ "Qualitative research", "Quantitative research", "Data synthesis" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Commercial insights strategy, Market research, Actionable recommendations", "majorSkillsList" : [ "Commercial insights strategy", "Market research", "Actionable recommendations" ], "coreResponsibilities" : "Lead development of US commercial insights strategy, Lead execution of US commercial insights strategy, Identify key business questions, Translate questions into research plans, Partner with cross-functional teams, Deliver actionable insights, Shape market development strategies, Shape go-to-market strategies, Design primary market research, Oversee primary market research, Design secondary market research, Oversee secondary market research, Ensure methodological rigor, Ensure alignment with business objectives, Synthesize data from multiple sources, Build unified view of market, Build unified view of customer, Act as strategic advisor, Influence key decisions, Ensure insights are clearly communicated, Translate insights into recommendations, Drive measurable business impact, Manage vendor relationships, Contribute to oversight of budgets, Contribute to oversight of contracts, Contribute to oversight of external partnerships, Foster innovation in insights generation, Explore new methodologies, Explore new tools, Explore new data sources", "teamCollaboration" : "Cross-functional teams; Global and US teams", "domainKnowledge" : "Rare disease; Rheumatology; Pharmaceutical data; Commercial research", "domainList" : [ "rare-disease", "rheumatology", "pharmaceutical-data", "commercial-research" ], "domainSpecificKnowledge" : [ "Rare disease", "Rheumatology", "Pharmaceutical data", "Commercial research" ], "communicationSkills" : "Executive presentations", "continuousLearning" : "Professional development; Learning opportunities; Career growth", "innovationCreativity" : "Innovation in insights generation", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Ability to travel up to 20%", "outcomesObjectives" : "Drive measurable business impact", "qualificationsBasic" : "Bachelor's degree, 7–10 years of experience, Expertise in primary market research, Deep understanding of research methodologies, Proven ability to integrate data, Demonstrated experience influencing senior stakeholders, Analytical, critical thinking, and problem-solving skills, Excellent communication skills", "qualificationsPreferred" : "Advanced degree preferred, Experience within rare disease and/or rheumatology, Experience with product launches, Familiarity with pharmaceutical data sources, Familiarity with vendors, Familiarity with commercial research tools", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Lead the development and execution of the US commercial insights strategy and learning agenda, identifying key business questions and translating them into structured research plans. Partner with cross-functional teams (commercial, medical, analytics, and market access) to deliver actionable insights that shape market development and go-to-market strategies. Design and oversee primary and secondary market research initiatives, ensuring methodological rigor and alignment with business objectives. Synthesize data from multiple sources, including market research, competitive intelligence, analytics, and field insights, to build a unified view of the market and customer landscape. Act as a strategic advisor to senior leadership, influencing key decisions on positioning, strategy, and commercial execution. Ensure insights are clearly communicated and translated into actionable recommendations that drive measurable business impact. Manage vendor relationships and contribute to oversight of budgets, contracts, and external partnerships in collaboration with internal stakeholders. Foster innovation in insights generation by exploring new methodologies, tools, and data sources to enhance decision-making capabilities. Requirements: Bachelor’s degree required; advanced degree preferred. 7–10 years of experience in pharmaceutical, biotechnology, healthcare insights, or related commercial functions. Strong expertise in primary market research, ideally within rare disease and/or rheumatology. Deep understanding of both qualitative and quantitative research methodologies and their application in commercial strategy. Proven ability to integrate complex, disparate data sets into clear strategic narratives and actionable recommendations. Demonstrated experience influencing senior stakeholders in a matrixed, cross-functional environment. Strong analytical, critical thinking, and problem-solving skills with a business-oriented mindset. Excellent communication skills, with the ability to translate insights into compelling recommendations for executive audiences. Experience with product launches in rare disease or specialty care is a plus. Familiarity with pharmaceutical data sources, vendors, and commercial research tools. Ability to travel up to 20%. Strong collaboration skills, with the ability to operate effectively across global and US teams. Benefits: Competitive salary aligned with experience and market benchmarks. Eligibility for short-term and long-term incentive programs. Comprehensive health, dental, and vision insurance coverage. Retirement savings plan and financial wellbeing support. Flexible working arrangements with hybrid/remote options depending on role needs. Opportunities to work in a high-growth, science-driven organization focused on rare diseases. Strong emphasis on professional development, learning, and career growth. Inclusive and collaborative culture with global cross-functional exposure. ## 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" : "Associate Director, US Commercial Insights. Skills: Commercial insights strategy, Market research, Actionable recommendations. Lead development of US commercial insights strategy. Lead execution of US commercial insights strategy", "postedDate" : "2026-06-15T10:26:15.737", "createdAt" : "2026-06-15T10:26:15.737", "lastUpdated" : "2026-06-16T12:36:38.199", "ingestTimestamp" : "2026-06-16T03:21:47.336", "mongoId" : "6a305117f292fd229cef9627", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Qualitative research", "Quantitative research", "Data synthesis", "Critical thinking", "Commercial insights strategy", "Market research", "Actionable recommendations", "Commercial strategy", "Market development", "Go-to-market strategies", "Competitive intelligence", "Commercial execution", "Rare disease", "Rheumatology", "Pharmaceutical data", "Commercial research" ], "skillCount" : 16, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 674.92096, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3079aef292fd229c034403", "title" : "Retail Data & Consumer Insights Intern", "company" : "Umami", "industry" : "Work-Based Learning", "salary" : { "min" : 15.0, "max" : 15.0, "currency" : "USD", "frequency" : "per-hour-wage" }, "location" : "Bentonville, AR", "locations" : [ "Bentonville, AR" ], "timestamp" : "2026-06-16T12:03:59.337", "fingerprint" : "6e536fffe8e3ec6e34e36a6a3478d006e6cd30d3a0d3d1e5023943cea511c667", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/acds/f1b59e1c-6037-430d-8bcd-38f63c131057/apply", "externalId" : "f1b59e1c-6037-430d-8bcd-38f63c131057", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bentonville", "state" : "Arkansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.3728608,-94.2087870" } ], "locationText" : "Bentonville, Arkansas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Clippr plugin", "professionalSkills" : [ "Consumer insights", "Product insights", "Data collection", "Data entry", "Data analysis", "Reporting", "Competitive benchmarking", "Assortment mapping", "Consumer sentiment analysis", "Innovation pipeline prioritization", "Brand health analysis", "Opportunity sizing", "Workflow optimization", "Process improvements", "Database maintenance", "Knowledge repositories" ], "hardSkillsList" : [ "Data visualization", "Reporting" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Retail data, Consumer insights, AI", "majorSkillsList" : [ "Retail data", "Consumer insights", "AI" ], "coreResponsibilities" : "Capture product data, Capture pricing data, Capture packaging data, Capture assortment data, Maintain accuracy, Maintain consistency, Identify anomalies, Identify gaps, Identify trends, Flag data entry issues, Use Clippr plugin, Scrape retail product information, Tag retail product information, Organize retail product information, Execute standardized workflows, Support category scans, Support competitive benchmarking, Support assortment mapping, Structure data for analytics, Structure data for reporting, Gather review-based consumer sentiment data, Decode consumer pain points, Decode unmet needs, Decode competitive strengths, Decode competitive weaknesses, Support creation of category snapshots, Support creation of opportunity maps, Support creation of concept inputs, Support preparation of reports, Analyze patterns across retailers, Analyze patterns across categories, Analyze patterns across consumer feedback, Contribute to innovation pipeline prioritization, Organize data inputs, Synthesize data inputs, Assist with ad hoc research, Support internal documentation, Support workflow optimization, Participate in team meetings, Contribute to process improvements, Maintain internal databases, Maintain knowledge repositories, Provide general operational support", "teamCollaboration" : "Innovation team; Insights team; Product team", "domainKnowledge" : "CPG innovation; AI; Retail data; Product development", "domainList" : [ "cpg-innovation", "ai", "retail-data", "product-development" ], "domainSpecificKnowledge" : [ "CPG innovation", "AI", "Retail data", "Product development" ], "toolProficiency" : [ "Clippr plugin", "Microsoft Excel", "Google Sheets", "Tableau", "Power BI", "Looker Studio" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Internal documentation", "continuousLearning" : "Learning new technologies", "problemSolvingSkills" : "Identify anomalies; Identify gaps; Identify trends; Decode consumer pain points; Decode unmet needs; Decode competitive strengths; Decode competitive weaknesses", "specialRequirements" : "No future visa sponsorship", "qualificationsBasic" : "Attention to detail, Proficiency with Microsoft Excel, Proficiency with Google Sheets, Ability to identify patterns, Ability to identify trends, Ability to identify inconsistencies in data, Ability to work independently, Ability to manage multiple projects, Ability to meet deadlines, Current Arkansas state resident, Ability to pass a standard background check, Ability to work 40 hours a week, Ability to work full-time in the United States, Technical aptitude", "qualificationsPreferred" : "Familiarity with data visualization tools, Familiarity with reporting tools, Curious about CPG innovation, Excited to work at the intersection of AI, retail data, and product development, Interest in learning new technologies, Interest in growing IT career, Interest in starting IT career, Ability to communicate technical aptitude", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Apprenticely is working with our company partner, the Umami to add an Retail Data & Consumer Insights Intern to their team in Bentonville, Arkansas! Our Apprenticely Internship Program is a three-month program that places selected candidates with employers across Arkansas in IT positions to gain experience under the guidance of a professional mentor/IT support team. Internships are designed as an on-ramp to an IT career and can roll into full-time positions based on employer demand. About Umami: Umami is an AI-enabled, customer-driven Food & Beverage innovation platform built to analyze customer feedback and company advantages to generate strategic product insights for innovators within consumer-driven brands. We combine machine learning, consumer data, and brands’ unique advantages—from insight to innovation. FIELDBOOK, a studio operated by Alloy Partners, is dedicated to creating and accelerating advantaged “retail value chain” startups. We are launching Umami out of Fieldbook Studio—backed by the Walton Family Foundation and the Arkansas Development Finance Authority (ADFA). About the Role: The Intern will support Umami’s retail data collection and consumer insights workflows using the Clippr plugin and related internal tools. This role is ideal for someone who is detail‑oriented, curious about CPG innovation, and excited to work at the intersection of AI, retail data, and product development. ## Intern Responsibilities Capture product, pricing, packaging, and assortment data across assigned retailers and categories Maintain accuracy and consistency across large datasets Identify anomalies, gaps, or trends during data entry and flag them for review Use the Clippr plugin to scrape, tag, and organize retail product information Execute standardized workflows to support category scans, competitive benchmarking, and assortment mapping Ensure data is properly structured for downstream analytics and reporting Assist in gathering review-based consumer sentiment data aligned with Umami’s methodology (real reviews, not social media) Help decode consumer pain points, unmet needs, and competitive strengths/weaknesses Support the creation of category snapshots, opportunity maps, and early-stage concept inputs Support the preparation of internal and client-facing reports, including charts, summaries, and insights Help analyze patterns across retailers, categories, and consumer feedback Contribute to innovation pipeline prioritization work by organizing and synthesizing data inputs Collaborate with the Innovation, Insights, and Product teams as needed Assist with ad hoc research tasks related to brand health, innovation reports, and opportunity sizing Support internal documentation and workflow optimization Participate in team meetings and contribute to process improvements Help maintain internal databases and knowledge repositories Provide general operational support as the company scales its AI-powered product development platform ## Qualifications of an ideal candidate Strong attention to detail with the ability to maintain accuracy across large datasets. Proficiency with Microsoft Excel and/or Google Sheets. Familiarity with data visualization and reporting tools such as Tableau, Power BI, Looker Studio, or similar platforms. Excellent organizational and time management skills. Strong written and verbal communication skills. Ability to identify patterns, trends, and inconsistencies in data. Comfortable learning new software tools and technology platforms. Ability to work independently while managing multiple projects and deadlines. ## Additional Details Pay Range: $15/hr Schedule: 40-hour week: typically 8 a.m. - 5 p.m. Monday-Friday Length of Internship: 3 months with the potential to convert to a full-time opportunity based on employer demand Location: Bentonville, Arkansas ## Our Must Haves Current Arkansas state resident Ability to pass a standard background check Ability to work 40 hours a week, following the three-month internship Ability to work full-time in the United States without a current or future need for visa sponsorship High curiosity and interest in learning new technologies and growing or starting your IT career Technical aptitude exhibited through projects, experience, or online learning and the ability to communicate what you know ## Additional Information How does the interview process work? Apprenticely will conduct an initial phone interview and assessment. Apprenticely will send selected resumes to companies that match the candidate’s skills and interests. Our employer partners will decide who to interview and select the final candidates for the internship program. Meet the Apprenticely team and join our upcoming virtual webinars via zoom; dates and details are on our events page. Check out our YouTube page for past webinars and career tips! Learn more about us @ www.acds.co & LinkedIn, Facebook, Instagram & Twitter The Arkansas Center for Data Sciences dba Apprenticely will not discriminate against apprenticeship applicants or apprentices based on RACE, COLOR, RELIGION, NATIONAL ORIGIN, SEX (INCLUDING PREGNANCY AND GENDER IDENTITY), SEXUAL ORIENTATION, GENETIC INFORMATION, OR BECAUSE THEY ARE AN INDIVIDUAL WITH A DISABILITY OR A PERSON 40 YEARS OLD OR OLDER. Apprenticely will take affirmative action to provide equal opportunity in apprenticeship and will operate the apprenticeship program as required under Title 29 of the Code of Federal Regulations, part 30 SMS terms: Arkansas Center for Data Sciences (ACDS) DBA Apprenticely offers you the option to engage in SMS text conversations about your application for jobs and training programs. By participating, you also understand that message frequency may vary depending on the status of your job application, and that message and data rates may apply. Please consult your carrier for further information on applicable rates and fees. Carriers are not liable for delayed or undelivered messages. Reply STOP to cancel and HELP for help. View our Privacy & SMS Policy: https://apprenticely.org/privacy-policy/", "summaryDescription" : "Retail Data & Consumer Insights Intern at Umami. Skills: Retail data, Consumer insights, AI. Capture product data. Capture pricing data", "postedDate" : "2026-06-15T14:23:33.187", "createdAt" : "2026-06-15T14:23:33.187", "lastUpdated" : "2026-06-16T12:03:59.337", "ingestTimestamp" : "2026-06-16T03:26:12.618", "mongoId" : "6a3079aef292fd229c034403", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 15, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data visualization", "Reporting", "Retail data", "Consumer insights", "AI", "Product insights", "Data collection", "Data entry", "Data analysis", "Competitive benchmarking", "Assortment mapping", "Consumer sentiment analysis", "Innovation pipeline prioritization", "Brand health analysis", "Opportunity sizing", "Workflow optimization", "Process improvements", "Database maintenance", "Knowledge repositories", "CPG innovation", "Product development", "Clippr plugin", "Microsoft Excel", "Google Sheets", "Tableau", "Power BI", "Looker Studio" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 624.15497, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca65e74d8ee00a09bb038", "title" : "Logistics Process Engineer", "company" : "bol. com EN", "industry" : "Logistics", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Logistics Process Engineer in Utrecht, Netherlands, adjusted for the E-commerce industry and company size." }, "location" : "Utrecht, Utrecht, Netherlands", "locations" : [ "Utrecht", "Utrecht", "Netherlands" ], "timestamp" : "2026-06-15T10:02:56.097", "fingerprint" : "e048f942f77b342b403557bae74ef52e7402da0ff0867333402e697806030d45", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/bolcomen/jobs/8482588002", "externalId" : "8482588002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Utrecht", "state" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.0907006,5.1215634" } ], "locationText" : "Utrecht, Utrecht, Netherlands", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Data analysis", "IT innovation", "Project management" ], "hardSkillsList" : [ "Data analysis", "Process design" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Process design", "level" : "intermediate" } ], "majorSkills" : "Process engineering, Logistics network, Data-driven insights, IT solutions", "majorSkillsList" : [ "Process engineering", "Logistics network", "Data-driven insights", "IT solutions" ], "coreResponsibilities" : "Explore problems, Identify opportunities, Translate theoretical solutions, Drive implementation, Design reliable processes, Design scalable processes, Design future-proof processes, Design IT solutions, Identify internal stakeholders, Get internal stakeholders on board, Keep internal stakeholders engaged, Identify external stakeholders, Get external stakeholders on board, Keep external stakeholders engaged, Determine right approach, Manage progress, Contribute to craft, Support development of standardized way of working, Share knowledge, Share experience, Onboard new colleagues", "teamCollaboration" : "Work with product team; Collaborate with experts; Work with developers; Align with team members; Connect with others; Work with enthusiastic colleagues; Work with external parties; Work with Product Managers; Work with Product Analysts; Work with Software Engineers; Work with fellow Logistics Process Engineers", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Logistics network; Warehouse operations; Carrier operations; Customer returns; Sustainability ambitions", "domainList" : [ "logistics-network", "warehouse-operations", "carrier-operations", "customer-returns", "sustainability-ambitions" ], "domainSpecificKnowledge" : [ "Logistics network", "Warehouse operations", "Carrier operations", "Customer returns", "Sustainability ambitions" ], "communicationSkills" : "Powers of persuasion", "innovationCreativity" : "IT innovation", "problemSolvingSkills" : "Crunch complex puzzles; Solve problems", "outcomesObjectives" : "Maximize value for bol; Maximize value for customers; Maximize value for partners", "qualificationsBasic" : "Analytical mindset, Data into actionable insights, Assess impact of changes, Manage complex projects, Focus on outcome over output, Engage with stakeholders", "qualificationsPreferred" : "Enthusiastic about data-heavy IT innovations", "rawDescription" : "Logistics Process Engineer Combining all parts of logistics into a smart network of warehouses and carriers Are you eager to improve our logistics through IT innovation? Ensuring that with your data driven mindset we maximize the value of our logistic network for our shoppers and partners? Moreover, are you the one that ceases the opportunity and brings it to the finish line in a rapidly evolving environment? Then the role of Logistics Process Engineer is the one for you. How do you make our customers happy? When our customers receive their package at the time we promised them, at the place they indicated and with the products they ordered, we did a good job. When our customers decide to return a package, we make their experience smooth, while retaining as much value as possible. And, with 13M customers who can choose from over 32M products sourced by 51K partners and delivered from multiple warehouses and via multiple carriers, that’s a tall order. Our goal is to optimally serve our customers in a cost-efficient way, through data-driven insights and intelligent steering of bol's logistics network. It calls for leveraging advanced data science models and complex software applications. Moreover, we need to balance goals, from reducing costs to improving the customer experience and advancing our sustainability ambitions. Your role is to ensure our innovations work as advertised in our complex logistics network. What do you do as a Logistics Process Engineer? Together with your product team, you explore problems and identify opportunities. Some of which may seem obvious, others not so much. You help the team decide which topics to focus on and translate theoretical solutions into ‘workable’ products by using your data and analytical capabilities. You collaborate with experts, including developers who build the solution, and you drive the implementation. How can you best bring these projects across the finish line? And how can you maximize their value for bol, our customers, and partners? This position challenges your analytical skills: crunch complex puzzles and connect the right people and ideas. Design reliable, scalable, and future-proof processes and IT solutions, and leverage your powers of persuasion and communication to identify relevant internal and external stakeholders, get them on board, and keep them engaged. And flex your project management skills by determining the right approach and managing progress in a complex environment. You are enthusiastic about data-heavy IT innovations You have an analytical mindset, dive deep into topics, and translate data into actionable insights You assess the impact of changes on the broader logistics network You manage complex projects from initial conception to final implementation You focus on outcome over output and inspire others to adopt that approach You engage with a broad range of stakeholders; getting (and keeping) them on board is often the key to success You contribute to the Logistics Process Engineering craft by supporting the development of a standardized way of working, sharing your knowledge and experience, and onboarding new colleagues 3 reasons why this is(n’t) for you Complexity is your best buddy You are energized by complex challenges in which technology, processes, and the physical world meet. You can complete complex projects with your analytical skills from scratch, including alignment with team members and stakeholders. True team player You know you can’t do it alone. You're a great listener, easily connect with others, get your message across clearly, and are energized by working with enthusiastic colleagues and external parties. Keep It Simple, Stupid! Keep It Simple, Stupid is one of your mantras: you expertly identify potential process bottlenecks and excel at solving problems. Me, myself, and I You value personal success over team results. You are from Mars, software engineers are from Venus You can come up with absolutely brilliant theoretical solutions but have a hard time explaining them to the IT team. You seem to operate on different wavelengths. All decisions are final Once a decision is made, it is made. Changing circumstances and evolving insights be damned, you’re not budging. This is where you’ll work The Product Area Logistics consists of in total ten product teams divided over four product groups that each have a unique focus. You’ll work closely with Product Managers, Product Analysts, Software Engineers, and fellow Logistics Process Engineers in a product-led environment. The teams are all about working outcome driven, helping each other succeed and having fun. Our biggest strength is that we treat each other as equals and are eager to learn from each other. You’ll also join our Logistics Process Engineering craft, where you will report to a lead. Our craft is the largest field of expertise within the logistics product organization and a great group to inspire and be inspired by.", "summaryDescription" : "Logistics Process Engineer at bol. com EN. Skills: Process engineering, Logistics network, Data-driven insights, IT solutions. Explore problems. Identify opportunities", "postedDate" : "2026-06-14T09:25:27.986", "createdAt" : "2026-06-14T09:25:27.986", "lastUpdated" : "2026-06-15T10:02:56.097", "ingestTimestamp" : "2026-06-14T09:25:27.986", "mongoId" : "6a2ca65e74d8ee00a09bb038", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Process design", "Process engineering", "Logistics network", "Data-driven insights", "IT solutions", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "IT innovation", "Project management", "Warehouse operations", "Carrier operations", "Customer returns", "Sustainability ambitions" ], "skillCount" : 19, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 622.1792, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305ffff292fd229cf840cc", "title" : "Retail Insights Manager", "company" : "SPINS", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Retail Insights Manager in Bulgaria, adjusted for a full-time remote role." }, "location" : "Remote", "locations" : [ "Remote", "Chicago", "Illinois", "United States" ], "timestamp" : "2026-06-16T08:10:16.333", "fingerprint" : "a5016047951be6731f0733443befa5cc1dfc20e996afd4165599fb55aaa4ccdf", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.spins.com/work-at-spins/?gh_jid=7655949", "externalId" : "7655949", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "experienceLevel" : "Manager", "technicalSkills" : "MS Office, Excel, PowerPoint, Outlook", "professionalSkills" : [ "Analytics", "Storytelling", "Reporting efficiency" ], "hardSkillsList" : [ "Data analysis", "Strategic analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Strategic analysis", "level" : "intermediate" } ], "majorSkills" : "Retail analytics, Client management, Data insights", "majorSkillsList" : [ "Retail analytics", "Client management", "Data insights" ], "coreResponsibilities" : "Lead delivery of strategic analyses, Deliver insights and recommendations, Apply SPINS proprietary assets, Work directly with executives, Understand client opportunities, Develop growth solutions, Develop growth strategies, Partner with client, Assess reporting and tools, Improve reporting and tools, Deliver client training sessions, Ensure client captures value, Provide business growth opportunities, Bring forward thought leadership, Add value to clients, Add insights to clients", "teamCollaboration" : "Client team members; Client stakeholders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "CPG/Retail analytics; Natural products industry", "domainList" : [ "cpg-retail-analytics", "natural-products-industry" ], "domainSpecificKnowledge" : [ "CPG/Retail analytics", "Natural products industry" ], "toolProficiency" : [ "Circana", "NielsenIQ", "SPINS", "Numerator" ], "communicationSkills" : "Presentation skills", "problemSolvingSkills" : "Strategic analyses", "outcomesObjectives" : "Capture biggest growth opportunities; Drive client's business forward; Ensure client captures value", "qualificationsBasic" : "2-4 years CPG/Retail analytics experience, Prior experience managing client stakeholders, Prior experience in translating data, Excellent presentation skills, Prior experience with syndicated data, Intermediate MS Office skills", "qualificationsPreferred" : "Experience with Distributor or Retailer, Comfortable with complexity, Interpersonal skills, Organizational skills, Project management skills, Ability to understand customer mindset, Skilled at leveraging business relationships, Experience with natural products industry", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who We Are For over 20 years, SPINS has been a leader in recognizing the transformative power of data in retail. We offer our clients cutting-edge tools to attract attention from a fast-growing segment within the Health however, qualified applicants from other locations will be considered Retail Insights Manager Summary The Retail Team is focused on recruiting, retaining, and expanding our partnerships with retailers and distributors to ensure their sustained growth. Retail is the cornerstone of SPINS as our Retail Partners are the primary source of data fueling our front-end applications and enabling our proprietary Product Intelligence. SPINS is focused on helping our clients achieve sustained, profitable growth. The Retail Support Team uses SPINS industry-leading Natural, Organic, and Specialty Products Retail Market Information in combination with analytics and strategic analyses to generate powerful insights. This Retail Insights Manager will be working directly with clients to help them capture their biggest growth opportunities. Job Duties & Responsibilities Lead the delivery of strategic analyses, insights, and recommendations based on applying SPINS proprietary assets, in combination with the client's team members and client's information. Work directly with executives at our client company to understand their opportunities and develop growth solutions and strategies to capture them. Partner with the client to understand, continually assess, and improve reporting and tools to continue to drive forward the client's business. Deliver client training sessions to ensure client captures value of the SPINS assets and provide business growth opportunities. Brings forward relevant SPINS and 3rd party thought leadership to add additional value and insights to assigned clients. Requirements: Education & Experience 2-4 years CPG/Retail analytics experience in with a Distributor, Retailer, CPG company, or Market Research firm Prior experience managing client stakeholders and multiple projects concurrently Prior experience in translating data and using analyses in storytelling and reporting efficiency Excellent presentation skills and is very comfortable presenting to clients Initiative, creativity and a passion to deliver results that make a difference to our client Self-starter, with strong intellectual curiosity Prior experience with syndicated data such as Circana (IRi), NielsenIQ, SPINS, Numerator, etc. Intermediate knowledge/skills in MS Office (Excel, PowerPoint, Outlook) The following is strongly preferred: Experience with Distributor or Retailer Comfortable with complexity Interpersonal, organizational and project management skills Ability to understand the customer mindset and offer solutions Skilled at leveraging business relationships at all levels within the organization Experience with the natural products industry Salary Range: $80,000 to $90,000 Note: Applicants must be authorized to work for any US employer. We are unable to sponsor or take over sponsorship of an employment Visa at this time. #LI-SB1 #LI-Hybrid What SPINS Offers We have enjoyed tremendous growth over the years and, as a leader in a fast-growing industry, we have no plans to slow down! While all that growth brings excitement, it is also an opportunity for SPINS to show it values the health and wellness of its team members. We embrace hybrid work options so that you have the flexibility to create a work/life balance that actually works! Each employee is allotted paid time to use to volunteer with an organization of their choice and charitable donations are matched. Semi-annual company-wide employee survey that is used to shape company programs, perks, and culture. The SPINS Way Direct – We communicate with clarity, honesty and respect in all situations and embrace opportunities to provide solution-oriented feedback. Determined – We are committed to overcoming all obstacles to achieve results. We adapt to change, seek opportunities to learn and rapidly translate that learning into action. Passionate – We go above and beyond to help our partners achieve their goals. We challenge assumptions and are comfortable forging new paths. Collaborative – We leave our egos at the door, believing that working together we will produce an outcome that’s greater than each individual contribution. For details about the information SPINS’s collects about our applicants and how we use it, please see the SPINS Privacy Policy here.", "summaryDescription" : "Retail Insights Manager at SPINS. Skills: Retail analytics, Client management, Data insights. Lead delivery of strategic analyses. Deliver insights and recommendations", "postedDate" : "2026-06-15T23:22:36.694", "createdAt" : "2026-06-15T23:22:36.694", "lastUpdated" : "2026-06-16T08:10:16.333", "ingestTimestamp" : "2026-06-15T23:22:36.694", "mongoId" : "6a305ffff292fd229cf840cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Strategic analysis", "Retail analytics", "Client management", "Data insights", "Analytics", "Storytelling", "Reporting efficiency", "Project management", "CPG/Retail analytics", "Natural products industry", "Circana", "NielsenIQ", "SPINS", "Numerator" ], "skillCount" : 15, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 621.4744, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308724f292fd229c0863dc", "title" : "Client Insights Analyst", "company" : "iSeatz", "industry" : "Hospitality", "salary" : { "min" : 77000.0, "max" : 90000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Full-Time Remote (USA)", "locations" : [ "Full-Time Remote (USA)" ], "timestamp" : "2026-06-16T08:42:22.280", "fingerprint" : "f317d1e65bb832dae5c06cb159309f39a2a004a649b31eccca994e5c649fe038", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/iseatz/jobs/5255722008", "externalId" : "5255722008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL", "professionalSkills" : [ "Client-facing analytics", "Client-facing reporting", "Product analytics", "Conversion analysis", "Digital web analytics" ], "hardSkillsList" : [ "Data validation", "Trend identification", "Result interpretation" ], "hardSkills" : [ { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Trend identification", "level" : "intermediate" }, { "name" : "Result interpretation", "level" : "intermediate" } ], "majorSkills" : "Client Insights, Data Analysis", "majorSkillsList" : [ "Client Insights", "Data Analysis" ], "coreResponsibilities" : "Identify trends, Interpret results, Troubleshoot inconsistencies, Communicate findings", "teamCollaboration" : "Collaboration; Customer focus", "domainKnowledge" : "Travel bookings; Lifestyle bookings; Digital commerce; Travel technology; Loyalty tech", "domainList" : [ "travel-bookings", "lifestyle-bookings", "digital-commerce", "travel-technology", "loyalty-tech" ], "domainSpecificKnowledge" : [ "Travel bookings", "Lifestyle bookings", "Digital commerce", "Travel technology", "Loyalty tech" ], "toolProficiency" : [ "Tableau" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Professional development allowance", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "5+ years experience, SQL proficiency, Analytical skills, Problem-solving skills, Data validation skills", "qualificationsPreferred" : "Experience with Snowflake or similar cloud data platforms, Experience in travel, eCommerce, marketplaces, loyalty, or digital consumer products, Experience supporting client-facing analytics, reporting, or product teams, Exposure to product analytics, conversion analysis, or digital web analytics, Familiarity with data governance concepts, Familiarity with data privacy and security best practices, Tableau experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Our Mission iSeatz drives enduring brand loyalty through exceptional, connected experiences. Our digital commerce and technology solutions enable travel and lifestyle bookings for the world’s leading brands in financial services, travel, and hospitality, including American Express, IHG Hotels Tableau experience preferred Strong analytical, problem-solving, and data validation skills, with the ability to identify trends, interpret results, troubleshoot inconsistencies, and communicate findings Strong organizational, written, and verbal communication skills Awareness of responsible data handling practices Alignment with iSeatz core values, including collaboration, accountability, curiosity, and customer focus Bonus Points Experience working with Snowflake or similar cloud data platforms Experience in travel, eCommerce, marketplaces, loyalty, or digital consumer products Experience supporting client-facing analytics, reporting, or product teams Exposure to product analytics, conversion analysis, or digital web analytics Familiarity with data governance concepts and data privacy and security best practices Pay Range for this Position: $77,000—$90,000 USD Location This role is remote and can be located anywhere inside the continental United States. iSeatz is a New Orleans-based company with Central Time Zone business hours, but feel free to work from your home office, from the beach, or from the cottage you rented for the summer! What We Bring To The Table iSeatz has been honored as an Inc. Magazine Best Workplace for the past two years — recognition based on our commitment to transparency, trust, and open communication, as well as our efforts to foster growth for our team members beyond their current roles and responsibilities. We trust our team members to use their expertise and creativity to deliver high-quality results — without micromanagement — and support them in building careers that are as dynamic and multifaceted as the work we do. We believe there's no one-size-fits-all approach to engagement or collaboration. That’s why we strive to provide the tools, autonomy, and support employees need to succeed — while delivering exceptional products and services to our customers. We recognize that great work deserves meaningful support. At iSeatz, we provide competitive compensation and a comprehensive suite of benefits to match. Our team members enjoy robust health insurance, a 401(k) plan with company matching, generous paid time off, and up to eight weeks of paid parental leave for eligible caregivers. We’re a remote-first company that values flexibility and autonomy, and we invest in continuous learning with an annual professional development allowance. Whether you're growing your skills, your family, or your impact — we’re here to support what’s next. We Value A Diverse Workplace We are committed to building and maintaining a culture of support, awareness, and sensitivity about the importance and impact of our differences and leverage these differences to build a stronger iSeatz. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact the People Operations Team at humanresources@iseatz.com. A Note About Joining Our Workforce At iSeatz, we're building a team of bold thinkers, innovative builders, and thoughtful collaborators — people who are excited to make an impact, grow their careers, and help shape the future of travel and loyalty tech. If you're energized by meaningful work, passionate about creating exceptional experiences, and ready to bring your unique perspective to a team that values trust, growth, and transparency — we can't wait to meet you.", "summaryDescription" : "Client Insights Analyst at iSeatz. Skills: Client Insights, Data Analysis. Identify trends. Interpret results", "postedDate" : "2026-06-16T01:22:13.039", "createdAt" : "2026-06-16T01:22:13.039", "lastUpdated" : "2026-06-16T08:42:22.280", "ingestTimestamp" : "2026-06-16T01:22:13.039", "mongoId" : "6a308724f292fd229c0863dc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 77000, "salaryAnnualMax" : 90000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data validation", "Trend identification", "Result interpretation", "Client Insights", "Data Analysis", "Client-facing analytics", "Client-facing reporting", "Product analytics", "Conversion analysis", "Digital web analytics", "Travel bookings", "Lifestyle bookings", "Digital commerce", "Travel technology", "Loyalty tech", "Tableau" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 593.7237, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3055a1f292fd229cf20673", "title" : "Process Mining Data Engineer", "company" : "Celonis", "industry" : "Technology", "salary" : { "min" : 160000.0, "max" : 240000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Process Mining Data Engineer in Poland, adjusted for the technology industry and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T12:43:15.521", "fingerprint" : "0ead4df6c40d982df6495bf942d727262b5f232041ba26c4754a39ebb7813676", "source" : "workday", "language" : "en", "applyUrl" : "https://huntsman.wd1.myworkdayjobs.com/Huntsman/job/Poland---Krakow/Process-Mining-Data-Engineer_J-019770", "externalId" : "J-019770", "industryFunction" : { }, "locationPoint" : "51.9194,19.1451", "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Celonis EPM, Object-Centric Process Mining, PQL", "professionalSkills" : [ "Process mining development", "Data modeling", "Data extraction", "Data transformation", "Data validation", "Data analysis" ], "hardSkillsList" : [ "Process mining", "Data analytics" ], "hardSkills" : [ { "name" : "Process mining", "level" : "intermediate" }, { "name" : "Data analytics", "level" : "intermediate" } ], "majorSkills" : "Celonis Process Mining, SQL, Data modeling", "majorSkillsList" : [ "Celonis Process Mining", "SQL", "Data modeling" ], "coreResponsibilities" : "Execute process mining development and engineering activities, Translate business requirements into Celonis solutions, Build and maintain end-to-end process data models, Enable new process data sets, Enhance or update existing data sources, Extract, transform, validate, and analyze data, Support data quality checks, Ensure consistency of process logic, Collaborate with business and functional stakeholders, Clarify requirements, Validate assumptions, Refine solutions, Apply Celonis best practices, Contribute to technical documentation, Develop reusable components, Improve platform continuously, Stay up to date with Celonis capabilities, Explore automation opportunities, Explore execution use cases, Explore AI-enabled insights, Explore Copilot-supported capabilities", "teamCollaboration" : "Global business teams; Functional teams; Global process mining lead; Supply Chain; Order-to-Cash; Procure-to-Pay", "domainKnowledge" : "Process mining; Enterprise Process Mining; SAP tables", "domainList" : [ "process-mining", "enterprise-process-mining", "sap-tables" ], "domainSpecificKnowledge" : [ "Process mining", "Enterprise Process Mining", "SAP tables" ], "toolProficiency" : [ "Celonis EPM", "SAP" ], "documentationSkills" : "Technical documentation", "continuousLearning" : "Staying up to date with Celonis capabilities and emerging features", "innovationCreativity" : "Automation; Execution use cases; AI-enabled insights; Copilot-supported capabilities", "problemSolvingSkills" : "Analytical mindset", "outcomesObjectives" : "Enable end-to-end process transparency; Standardize insights; Enable execution-oriented use cases", "qualificationsBasic" : "Bachelor’s degree or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field, or equivalent practical experience in process mining or data analytics, Hands-on experience with Celonis Process Mining, including Object-Centric Process Mining (OCPM), PQL, and Celonis data modeling concepts, SQL skills with practical experience in data extraction, transformation, validation, and analysis, Fluent English", "qualificationsPreferred" : "Experience working with SAP, including exposure to SAP tables is a plus, Experience in automation, AI-enabled analytics, or Copilot-supported solution", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Job Description** : **_Role Overview:_ ** The **Process Mining Data Engineer** will be responsible for building and maintaining scalable process mining solutions within the **Celonis Enterprise Process Mining (EPM)** environment. This role supports the expansion of process mining capabilities across the organization by enabling end‑to‑end process transparency, standardized insights, and execution‑oriented use cases. Working under the direction of the **Global Process Mining Lead** , the role translates pre‑approved, prioritized business requirements into robust and high‑quality Celonis assets. Collaboration with global business and functional teams is key to ensure solutions are reliable, performant, and aligned to enterprise standards. **Do you think you’re the right fit for this opportunity? Apply today!** ** _Role Responsibilities:_ ** **As a ****Process Mining Data Engineer****, you will be responsible for:** * Executing process mining development and engineering activities under the direction of the **Global Process Mining Lead** * Translating approved business requirements into scalable Celonis solutions, including applications, analyses, dashboards, alerts, action and approval flows, email automations, and write‑backs * Building and maintaining end‑to‑end process data models within Celonis EPM * Enabling new process data sets and enhancing or updating existing data sources already loaded into Celonis * Using SQL to extract, transform, validate, and analyze data from source systems * Supporting data quality checks and ensuring consistency of process logic across use cases * Collaborating closely with business and functional stakeholders (e.g. Supply Chain, Order‑to‑Cash, Procure‑to‑Pay) to clarify requirements, validate assumptions, and refine solutions * Applying Celonis best practices and enterprise standards * Contributing to technical documentation, reusable components, and continuous platform improvements * Staying up to date with Celonis capabilities and emerging features * Exploring opportunities related to automation, execution use cases, AI‑enabled insights, and Copilot‑supported capabilities (optional / emerging) ** _Experience and Competencies:_ ** **What we are looking for:** * Bachelor’s degree or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field, or equivalent practical experience in process mining or data analytics * Hands‑on experience with Celonis Process Mining, including Object‑Centric Process Mining (OCPM), PQL, and Celonis data modeling concepts * Strong SQL skills with practical experience in data extraction, transformation, validation, and analysis * Fluent English with the ability to work effectively in a global, multicultural environment * Strong analytical mindset with high attention to detail * Experience working with SAP, including exposure to SAP tables is a strong plus * Experience in automation, AI‑enabled analytics, or Copilot‑supported solution **What next?** If you would like to join an innovative, collaborative and multicultural team, please apply now. Your application will be forwarded to a Talent Acquisition Partner, who will strive to get back to you as soon as they can. We understand that applying for a new job is a big decision and we will work hard to keep you updated and support you along the way. ** _About Us:_ ** At Huntsman, we pride ourselves on being a people-oriented organization. Our family-like atmosphere is cultivated by our diverse groups of team members around the world. We welcome the talent, experience and fresh ideas that employees at all stages of their careers, from interns to seasoned professionals, bring to Huntsman. In return, we offer you the opportunity to become an integral part of a dynamic, industry-leading company, where safety and ethics always come first. **Additional Locations:**", "summaryDescription" : "Process Mining Data Engineer at Celonis. Skills: Celonis Process Mining, SQL, Data modeling. Execute process mining development and engineering activities. 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Work with engineering teams; Work with data teams; Partner with adjacent product teams; Collaborate with Sales teams; Collaborate with Customer Success teams", "projectManagementSkills" : [ "Roadmap development", "Prioritization" ], "domainKnowledge" : "Customer retention; Customer growth; Value measurement; Enterprise administrators; AI-native user experiences; Intelligent analytics; Governance requirements; Compliance requirements; Operational requirements; Identity management; Security domains; Compliance domains; Enterprise analytics", "domainList" : [ "customer-retention", "customer-growth", "value-measurement", "enterprise-administrators", "ai-native-user-experiences", "intelligent-analytics", "governance-requirements", "compliance-requirements", "operational-requirements", "identity-management", "security-domains", "compliance-domains", "enterprise-analytics" ], "domainSpecificKnowledge" : [ "Customer retention", "Customer growth", "Value measurement", "Enterprise administrators", "AI-native user experiences", "Intelligent analytics", "Governance requirements", "Compliance requirements", "Operational requirements", "Identity management", "Security domains", "Compliance domains", "Enterprise analytics" ], "communicationSkills" : "Stakeholder management; Customer narratives", "innovationCreativity" : "AI-powered insights capabilities", "problemSolvingSkills" : "Transform complex business questions", "outcomesObjectives" : "Support customer renewals; Support expansion opportunities; Meet governance requirements; Meet compliance requirements; Meet operational requirements", "qualificationsBasic" : "4+ years product management experience, 2+ years building analytics/reporting/BI/data products, Expertise in data products, Experience with data modeling, Experience with instrumentation strategies, Experience with metrics design, Experience with data pipelines, Experience with analytical frameworks, Ability to work with engineering teams, Ability to work with data teams, Experience developing AI-enabled products, Proven success translating business needs, Experience partnering with customer-facing teams", "qualificationsPreferred" : "Experience building enterprise administration products, Experience building governance products, Experience building identity management products, Experience building security products, Experience building compliance products, Experience building audit-related products, Background in business intelligence platforms, Background in analytics solutions, Background in data-focused products, Experience designing customer-facing APIs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own the Customer Insights product area end-to-end, including strategy, roadmap development, prioritization, and execution across data foundations and customer-facing experiences. Define and evolve the underlying usage data architecture, ensuring data quality, scalability, and alignment with business metrics that support customer retention, growth, and value measurement. Design and enhance reporting, analytics, dashboards, audit logs, and API experiences that deliver actionable insights to enterprise administrators, executives, and internal teams. Drive the vision and implementation of AI-powered insights capabilities, including natural language interactions, proactive analytics, and intelligent workflows. Collaborate closely with Sales and Customer Success teams to translate product insights into compelling customer narratives that support renewals and expansion opportunities. Engage directly with enterprise stakeholders to understand needs, validate priorities, and ensure solutions meet governance, compliance, and operational requirements. Partner with adjacent product teams to create seamless experiences across administration, identity management, security, and compliance domains. Transform complex and ambiguous business questions into scalable, user-centric product solutions. Requirements 4+ years of product management experience, including at least 2 years building analytics, reporting, business intelligence, or data-driven products for administrative or business users. Strong expertise in data products, including experience with data modeling, instrumentation strategies, metrics design, data pipelines, and analytical frameworks. Demonstrated ability to work effectively with engineering and data teams while balancing technical considerations such as aggregation, data freshness, granularity, and scalability. Experience developing or contributing to AI-enabled products, with a strong understanding of emerging trends in AI-native user experiences and intelligent analytics. Proven success translating complex business needs into intuitive and impactful product experiences. Experience partnering with customer-facing teams to support customer engagement, retention, and growth initiatives. Exceptional communication, stakeholder management, and cross-functional collaboration skills. Ability to thrive in fast-paced environments and navigate ambiguity with confidence. Preferred Qualifications Experience building enterprise administration, governance, identity management, security, compliance, or audit-related products. Background in business intelligence platforms, analytics solutions, or data-focused products. Experience designing customer-facing APIs for analytics, reporting, or data access use cases. Benefits Competitive base salary ranging from $160,000 to $215,000, depending on location, experience, and qualifications. Performance-based bonus opportunities. Comprehensive benefits package. Opportunity to shape the future of enterprise analytics and AI-driven insights. High-impact role with significant ownership and visibility across the organization. Collaborative and cross-functional work environment. Exposure to enterprise-scale products, customers, and strategic initiatives. Inclusive workplace committed to equal opportunity and reasonable accommodations for individuals with disabilities. ## 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" : "Senior Product Manager, Customer Insights. Skills: Customer Insights, Data Products, AI-powered insights. Own Customer Insights product area. Define usage data architecture", "postedDate" : "2026-06-15T08:52:20.464", "createdAt" : "2026-06-15T08:52:20.464", "lastUpdated" : "2026-06-16T14:16:35.966", "ingestTimestamp" : "2026-06-16T03:25:24.529", "mongoId" : "6a30511af292fd229cefa48d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Instrumentation strategies", "Metrics design", "Data pipelines", "Analytical frameworks", "API design", "Customer Insights", "Data Products", "AI-powered insights", "Roadmap development", "Prioritization", "Data architecture", "Stakeholder management", "Cross-functional collaboration", "Product strategy", "Customer retention", "Customer growth", "Value measurement", "Enterprise administrators", "AI-native user experiences", "Intelligent analytics", "Governance requirements", "Compliance requirements", "Operational requirements", "Identity management", "Security domains", "Compliance domains", "Enterprise analytics" ], "skillCount" : 28, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 535.0197, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305b67f292fd229cf5d4fc", "title" : "Director, Insights and Analytics", "company" : "Dyne Therapeutics", "industry" : "Biotech", "salary" : { "min" : 190000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Waltham, Massachusetts, United States", "locations" : [ "Waltham", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:31:17.425", "fingerprint" : "59f22a5765c588850e3ab8950630ad9bde5cc8895614c342afcde66b49a10ae1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynetherapeutics/jobs/6020363004", "externalId" : "6020363004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Waltham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3762385,-71.2355644" } ], "locationText" : "Waltham, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, JMP, Spotfire", "professionalSkills" : [ "Statistical analysis", "Data analysis", "Data visualization" ], "hardSkillsList" : [ "Statistical modeling", "Experimental design" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "majorSkills" : "Statistical modeling, Data analysis", "majorSkillsList" : [ "Statistical modeling", "Data analysis" ], "coreResponsibilities" : "Analyze experimental data, Develop statistical models, Design experiments, Generate reports, Communicate findings", "teamCollaboration" : "Research and Development teams; Cross-functional teams", "domainKnowledge" : "Biotechnology; Drug discovery", "domainList" : [ "biotechnology", "drug-discovery" ], "domainSpecificKnowledge" : [ "Biotechnology", "Drug discovery" ], "toolProficiency" : [ "JMP", "Spotfire", "R", "Python", "SQL" ], "communicationSkills" : "Written reports; Oral presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data interpretation; Troubleshooting", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview: Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook. Role Summary: The Director, Insights and Analytics leads the generation of actionable market, customer, and data-driven insights to inform commercial strategy and execution across Dyne’s portfolio of assets in clinical development for rare neuromuscular diseases. This role integrates forecasting, market research, competitive intelligence, and advanced analytics to shape strategic decisions, optimize go-to-market planning, and enable organizational alignment. The Director serves as a strategic partner across cross-functional teams, translating complex data into clear, impactful recommendations that drive business outcomes. This role is based in Waltham, MA. Primary Responsibilities Include: Forecasting and Strategic Planning Lead development of long-range global forecasting models and scenario planning tools to project product uptake, access, and revenue Evaluate and enhance forecasting methodologies to improve accuracy, scalability, and agility Synthesize inputs across multiple data sources (e.g., market research, competitive intelligence, analogs) to validate assumptions and inform projections Support long-range planning, lifecycle management, and commercial assessments for pipeline and business development opportunities Partner with commercial operations and finance to guide operational forecasting and annual planning processes (AOP/budgeting) Serve as a strategic advisor to cross-functional stakeholders across Brand, Market Access, Finance, Supply, Trade, and IT Market Research and Insights Generation Design and execute global insights generation plans leveraging primary and secondary market research Manage end-to-end market research processes, including RFP development, vendor selection, and project execution Translate research findings into clear, actionable insights and strategic recommendations for senior leadership Ensure all research activities comply with data governance, privacy standards, and relevant external engagement policies Build strong partnerships with internal stakeholders to align insights with business priorities Competitive Intelligence Lead competitive intelligence strategy and analysis for key therapeutic areas, assessing market dynamics and competitive positioning Oversee execution of competitive intelligence activities, including monitoring, reporting, ad hoc analyses, and congress intelligence Deliver timely, actionable insights to inform go-to-market strategies, product development, and positioning Develop executive-ready materials and briefings to support leadership decision-making Represent the organization as the primary point of contact for competitive intelligence and at key congresses Commercial Data Analytics and Capability Building Expand and optimize the organization’s data ecosystem, including evaluation and integration of new data sources and tools Lead development of dashboards, KPIs, and performance tracking frameworks to enable data-driven decision-making Apply advanced analytics, statistical modeling, and trend analysis to generate insights from internal and external data Translate complex data into compelling narratives and recommendations that influence business action Educate stakeholders on data tools, dashboards, and data literacy to drive adoption and impact Ensure adherence to data governance, compliance, and privacy standards Education and Skills Requirements: Bachelor’s degree required; advanced degree (MBA, PhD, PharmD) preferred 10+ years of experience in forecasting, market research, competitive intelligence, and/or data analytics within biotech or pharmaceutical environments Experience supporting product launches and/or rare disease markets preferred Strong understanding of regulatory and compliance considerations related to market research and data usage in pharma/biotech Demonstrated ability to synthesize complex data and communicate insights clearly to diverse audiences, including senior leadership Exceptional data storytelling skills with expertise in translating insights into impactful presentations and recommendations Proven ability to lead through influence in a cross-functional, matrixed environment Experience managing external vendors, including negotiation, scope management, and performance oversight Strong business acumen with the ability to connect insights to strategic and operational decisions Ability to operate effectively in a fast-paced, dynamic environment while managing multiple priorities Demonstrates high standards of professionalism, integrity, and accountability #LI-Onsite MA Pay Range $190,000—$240,000 USD The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills. The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload. Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.", "summaryDescription" : "Director, Insights and Analytics at Dyne Therapeutics. Skills: Statistical modeling, Data analysis. Analyze experimental data. Develop statistical models", "postedDate" : "2026-06-15T23:23:00.223", "createdAt" : "2026-06-15T23:23:00.223", "lastUpdated" : "2026-06-16T08:31:17.425", "ingestTimestamp" : "2026-06-15T23:23:00.223", "mongoId" : "6a305b67f292fd229cf5d4fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Experimental design", "Data analysis", "Statistical analysis", "Data visualization", "Biotechnology", "Drug discovery", "JMP", "Spotfire", "R", "Python", "SQL" ], "skillCount" : 12, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 527.5915, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30508af292fd229cef1c43", "title" : "AI-Driven Frontend Internship", "company" : "Trengo", "industry" : "Engineering", "salary" : { "min" : 500.0, "max" : 500.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Utrecht office", "locations" : [ "Utrecht office" ], "timestamp" : "2026-06-16T09:51:09.988", "fingerprint" : "2b57f115736a26e61f8bf045c9e3c9a5faec41e175be06da0bd81f19ab72b4f5", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/careerstrengo/5b5729bd-4726-41ac-ab3f-2a3693d4927b/application", "externalId" : "5b5729bd-4726-41ac-ab3f-2a3693d4927b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.0907006,5.1215634" } ], "locationText" : "Utrecht, Netherlands", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Vue3, Pinia, Vite", "professionalSkills" : [ "Problem solving", "Persistence" ], "hardSkillsList" : [ "Frontend development" ], "hardSkills" : [ { "name" : "Frontend development", "level" : "intermediate" } ], "majorSkills" : "AI-Driven Development, Frontend Development", "majorSkillsList" : [ "AI-Driven Development", "Frontend Development" ], "coreResponsibilities" : "Fix frontend bugs, Tackle frontend tech debt, Improve frontend, Rotate across engineering teams, Support project deliveries, Use AI coding tools, Speed up coding, Speed up problem-solving, Pick up prompting techniques, Question awkward steps, Question 'why is it this way?' gaps", "teamCollaboration" : "Across engineering teams; Small collaborative team", "domainKnowledge" : "AI-driven communication; AI-powered platform; AI-augmented development", "domainList" : [ "ai-driven-communication", "ai-powered-platform", "ai-augmented-development" ], "domainSpecificKnowledge" : [ "AI-driven communication", "AI-powered platform", "AI-augmented development" ], "toolProficiency" : [ "Claude Code", "Cursor", "Codex" ], "communicationSkills" : "Communicate clearly", "continuousLearning" : "1-on-1 mentorship; Hands-on training; Dedicated buddy", "innovationCreativity" : "Champion AI innovation; Shape product roadmap", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Ship a better experience; Contribute to growth", "qualificationsBasic" : "Currently studying computer science, Currently studying software engineering, Available to start September 2026, Commit to 6-month internship, 32-40 hours per week", "qualificationsPreferred" : "Experimented with AI coding tools, Comfortable with Vue3, Comfortable with Pinia, Comfortable with Vite, Keen to learn Vue3, Keen to learn Pinia, Keen to learn Vite, Keen to learn modern frontend tooling", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "As our AI-Driven Frontend Intern, you'll help our engineering teams keep the product fast, clean, and reliable to build on. By fixing well-scoped bugs, chipping away at frontend tech debt, and rotating across teams to support real project deliveries, you'll help Trengo ship a better experience to the thousands of businesses that rely on us, and contribute directly to how we grow. ABOUT TRENGO Welcome to the forefront of AI-driven communication. At Trengo, we’re redefining the industry by replacing repetitive work with meaningful conversations through our AI-powered customer engagement platform. We unify communication channels and leverage agentic AI to deliver proactive, human-like service, boosting efficiency for thousands of businesses worldwide. As a fast-moving Dutch scale-up, backed by a $36M Series A and an official WhatsApp Business Solutions Provider, we thrive on acceleration. Your expertise will drive growth: you’ll make a strategic impact, champion AI innovation, and help shape the product roadmap. You’ll do this alongside an international team guided by our Dynamic pace, Future-proof mindset, Ownership, and Open culture. WHAT YOUR ROLE LOOKS LIKE: - Fix real, well-scoped bugs in our frontend, each one pre-triaged with clear boundaries and reviewed by a senior engineer, so you ship with confidence from day one. - Tackle bite-sized pieces of our frontend tech debt and improvement work, turning a large cleanup effort into steady, visible progress. - Rotate across our engineering teams, joining a few project deliveries to see how each one works and where you fit best. - Lean on AI-powered coding tools (especially Claude Code, alongside Cursor and Codex) to speed up your coding and problem-solving, and pick up the prompting techniques behind AI-augmented development. - Question the awkward steps and \"why is it this way?\" gaps that experience tends to gloss over. Your fresh perspective is part of the value you bring. WHAT YOU’LL BRING We’d love to meet you if you: - Are currently studying computer science, software engineering, or a related field, and have picked up some frontend experience through coursework, personal projects, or a first internship. - Are available to start in September 2026 and can commit to a 6-month internship for 32–40 hours per week. - Have experimented with AI-powered coding tools like Claude Code, Cursor, or Codex, and are eager to build them into how you work. - Are comfortable with, or keen to learn, Vue3, Pinia, Vite, or similar modern frontend tooling. - Approach problems with curiosity and persistence, and aren't afraid to ask questions when something doesn't make sense. - Communicate clearly and enjoy working as part of a small, collaborative team. ⚙️ OUR TECH & AI MINDSET AI is not a buzzword at Trengo — it’s part of how we build and operate. You’ll work with AI-driven features, automation, data, or tools that help us move faster and smarter. We value thoughtful use of AI that creates real value for customers and teams. WHAT’S IN IT FOR YOU? This is what we carefully prepared for you: - \uD83D\uDE80 A chance to experiment with AI-Driven Frontend Development and contribute to growth at the intersection of AI and SaaS. - \uD83D\uDC69‍\uD83C\uDFEB 1-on-1 mentorship from the Lead Front-end Engineer of a fast-growing SaaS company. - \uD83C\uDFD7️ A strong onboarding program with hands-on training and a dedicated buddy to set you up for success. - \uD83D\uDCB6 A monthly internship compensation of €500 to support you throughout your internship. - \uD83C\uDFE1+\uD83C\uDFE2 Flexible work setup: join us in our beautiful Utrecht HQ and work some days from home. - \uD83E\uDDD8 Mental health support with free sessions from on-demand psychologists (OpenUp). - \uD83D\uDCF6 Monthly internet & phone allowance to stay connected. - \uD83C\uDF89 Team activities throughout the year. - \uD83C\uDF74 Daily warm lunches prepared by our workplace experience team when you’re at our beautiful Utrecht office https://www.centralpark-utrecht.nl/en. \uD83D\uDCC5 Please note: This internship is intended for students who are available to start their internship in September 2026. \uD83D\uDD0D OUR HIRING PROCESS 1. Introductory call – First conversation with our Talent team. 2. Manager interview – Deep dive into experience and expectations. 3. Practical assignment – Role-related, real-world challenge. 4. Team connection – Meet future colleagues and confirm mutual fit. We aim to keep the process clear, fair, and timely, and we’ll keep you informed at every step. YOUR NEXT CHALLENGE STARTS HERE! We believe great ideas come from diverse perspectives. If you’re excited about this role but don’t meet every requirement, we encourage you to apply. #LI-Hybrid #LI-MT1", "summaryDescription" : "AI-Driven Frontend Internship at Trengo. Skills: AI-Driven Development, Frontend Development. Fix frontend bugs. Tackle frontend tech debt", "createdAt" : "2026-06-16T00:25:36.208", "lastUpdated" : "2026-06-16T09:51:09.988", "ingestTimestamp" : "2026-06-16T00:25:36.208", "mongoId" : "6a30508af292fd229cef1c43", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Frontend development", "AI-Driven Development", "Frontend Development", "Problem solving", "Persistence", "AI-driven communication", "AI-powered platform", "AI-augmented development", "Claude Code", "Cursor", "Codex" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 525.102, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306724f292fd229cfb9ac9", "title" : "Evidence and Insights Manager", "company" : "Girl Effect", "industry" : "Media", "salary" : { "min" : 3800000.0, "max" : 6500000.0, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Evidence and Insights Manager in Kenya, adjusted for the non-profit industry and contract employment type." }, "location" : "Kenya", "locations" : [ "Kenya" ], "timestamp" : "2026-06-16T06:58:42.744", "fingerprint" : "fe282112e60fdd0b35eb9991d7b1a64b9dc9a306eafa3ea496f05e08adbd32f2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/girleffect/jobs/8591795002", "externalId" : "8591795002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Kenya", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Kenya", "employmentType" : "CONTRACT", "experienceMinYears" : 4, "experienceLevel" : "Manager", "professionalSkills" : [ "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Data analysis", "Reporting", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management" ], "hardSkillsList" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting" ], "softSkillsList" : [ "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring" ], "hardSkills" : [ { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Digital data analysis", "level" : "intermediate" }, { "name" : "Research methods", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" }, { "name" : "Conflict resolution" }, { "name" : "Public speaking" }, { "name" : "Critical thinking" }, { "name" : "Mentoring" } ], "majorSkills" : "Applied research, Monitoring and evaluation, Data analysis, Reporting", "majorSkillsList" : [ "Applied research", "Monitoring and evaluation", "Data analysis", "Reporting" ], "coreResponsibilities" : "Write requests for proposals, Write Terms of Reference, Review research tools, Advise on sampling strategies, Advise on methodologies, Review analysis, Review reporting, Support quality assurance during fieldwork, Conduct on-site visits, Provide technical expertise to research projects, Provide technical expertise to M&E projects, Advise on fit-for-purpose designs, Suggest qualitative methodologies, Suggest quantitative methodologies, Suggest other research approaches, Ensure ethical standards are upheld, Ensure safeguarding standards are upheld, Ensure field implementation is conducted to high standards, Train field research partners, Oversee field research partners, Ensure research outputs are accessible, Ensure research outputs are understandable, Ensure research outputs are useful, Utilise research outputs, Develop research partnerships, Maximise opportunities for cost-sharing, Maximise opportunities for joint learning, Deliver other duties relevant to position", "teamCollaboration" : "Work across functions; Work across countries; Work alongside global MERL team", "projectManagementSkills" : [ "Project management", "Research processes", "Research timelines" ], "domainKnowledge" : "Gender; Sexual reproductive health; Mental health; Economic empowerment", "domainList" : [ "gender", "sexual-reproductive-health", "mental-health", "economic-empowerment" ], "domainSpecificKnowledge" : [ "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "communicationSkills" : "Knowledge management communication; Engaging reports; Research outputs communication", "documentationSkills" : "Reporting; Research outputs", "innovationCreativity" : "Creative mindset", "problemSolvingSkills" : "Uncovering new insights; Translating insights", "specialRequirements" : "12 month contract basis", "qualificationsBasic" : "Minimum 5 years applied research, Minimum 4 years M&E experience, Postgraduate degree in relevant field, SQL proficiency, Qualitative and quantitative research design, Fieldwork experience, Data analysis experience, Reporting experience, Commissioning research agencies, Managing research agencies, Qualitative data analysis, Quantitative data analysis, Digital adaptations data analysis, Uncovering new insights, Translating insights into reports, Strategic planning experience, Knowledge management experience, Communication skills, Organisation skills, Project management skills, Cultural awareness, Sensitivity to cultures, Creative mindset, Inquisitive mindset, Fluent in English, High level English writing, High level English speaking", "qualificationsPreferred" : "Experience with girls on sensitive issues, Experience with participatory engagement, Technical knowledge in thematic areas, Background evaluating programs for women/girls, Hands-on applied research experience, Experience training others in research methods, Experience mentoring others in research methods, Experience training others in data analysis, Experience mentoring others in data analysis, Experience training others in reporting, Experience mentoring others in reporting", "remoteFriendly" : true, "rawDescription" : "Who we are Girl Effect is an international non-profit that builds media that girls want, trust and need. From chat-bots to chat-shows and TV dramas to tech, our content is reaching millions of girls in Africa and Asia to make choices and changes in their lives. Igniting their confidence to act differently at a time that can define their future. We create safe spaces for girls, sharing facts, and answering questions about health, nutrition, education, relationships and so much more. And we use innovative technology so we can reach girls at scale. We arm girls with the skills to negotiate and redefine what they are told is possible, so every girl can choose to be in control of her body, her health, her learning and livelihood. When a girl unlocks her power to make different choices that change her life, it inspires others to do so too. She starts a ripple effect that impacts her family, her community, her country. That’s the Girl Effect. Role Context The Evidence write requests for proposals and Terms of Reference for studies, review research tools, advise on sampling strategies and methodologies, and review analysis and reporting. Support with quality assurance during fieldwork, with on-site visits' or something, as I think this will be a key aspect of the role. Provide technical expertise to research, monitoring, and evaluation projects, working alongside our global MERL team as required. You will advise on fit-for purpose designs suggesting qualitative and/or quantitative methodologies or other approaches (e. g. using digital methods or secondary data sources) as appropriate. Ensure that Girl Effect’s ethical and safeguarding standards are upheld, and that field implementation is conducted to the highest standards, through training and oversight of field research partners. Ensure that research outputs are accessible, readily understandable, and useful, ensuring they are utilised as much as possible. Develop research partnerships with local and international research organisations to maximise opportunities for cost-sharing and joint learning. This list should not be considered exhaustive; you will be expected to deliver other duties relevant and appropriate to this position. Who You Are (Experience Required) Substantial experience (minimum 5 years) in applied research and/or monitoring and evaluation in Kenya or a postgraduate degree in a relevant field and at least 4 years of work experience. Passionate about working with adolescent girls and young women and truly supporting them thrive in challenging environments. Demonstrated experience in implementation of high quality qualitative and quantitative research design, fieldwork, data analysis and reporting. Experience of commissioning and managing research agencies throughout projects ensuring deliverables are completed on time and meeting the organisational needs. Strong qualitative and quantitative data analysis skills; proficient with digital adaptations. Demonstrated experience in uncovering new insights and translating these into exciting, engaging reports and research outputs. Experience in strategic planning and knowledge management Strong communication skills; able to work effectively across functions and countries. Excellent organisation and project management skills; able to develop and drive research processes and timelines. Strong cultural awareness and sensitivity about the cultures within which Girl Effect operates. Creative and inquisitive mindset with strong communication and organisational skills. Commitment to realising the potential of girls and to the vision and values of Girl Effect. Desirable Expertise working with girls on sensitive issues in Kenya Experience with participatory engagement approaches Technical/theoretical knowledge in one or more of Girl Effect’s thematic areas (e. g. gender, sexual and reproductive health, mental health, or economic empowerment) Background in evaluating programmes that relate to women and girls Hands-on experience of applied research in emerging markets or developing contexts. Experience in training and mentoring others in research methods, data analysis and reporting. Fluent in English, with a high level in writing as well as speaking What Else You Should Know As we continue to scale and grow - we are hugely ambitious for our future and we are looking for people who are driven to change the world for girls. Our teams are a diverse mix across sectors (non-profit and commercial) and specialisms (from Creative through to Gender and Insight). You’ll learn and grow in an environment that will challenge you to think and work with a fresh perspective. In turn, you can expect to work somewhere where you will be stretched and developed in your role, a place where you can build your career and work with talented, engaged people committed to our cause. Girl Effect is committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, or gender identity or expression. We are proud to be an equal opportunity workplace. We are committed to building an organisation that is increasingly representative of the communities that we serve. To this end, due regard will be paid to recruiting candidates with diverse professional, academic and cultural backgrounds. Furthermore, Girl Effect is committed to safeguarding and promoting the welfare and rights of all individuals, particularly the adolescent girls and young women we support. We have zero-tolerance for safeguarding violations, including sexual exploitation, abuse, and harassment (SEAH). All employees are required to adhere to our safeguarding policies and successfully complete relevant background checks, including reference and criminal record checks where applicable. This role is subject to a standard background disclosure. This role is being recruited for on a 12 month contract basis. Only applications submitted via https://job-boards.greenhouse.io/girleffect will be reviewed. Application closing date –29th June 2026", "summaryDescription" : "Evidence and Insights Manager at Girl Effect. Skills: Applied research, Monitoring and evaluation, Data analysis, Reporting. Write requests for proposals. Write Terms of Reference", "postedDate" : "2026-06-15T23:29:34.800", "createdAt" : "2026-06-15T23:29:34.800", "lastUpdated" : "2026-06-16T06:58:42.744", "ingestTimestamp" : "2026-06-15T23:29:34.800", "mongoId" : "6a306724f292fd229cfb9ac9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting", "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring", "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management", "Research processes", "Research timelines", "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 503.72357, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305714f292fd229cf339cf", "title" : "Senior Social Insights Analyst", "company" : "OLIVER Agency", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Social Insights Analyst in Italy, adjusted for the marketing industry and remote work." }, "location" : "Pipeline", "locations" : [ "Pipeline" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:41:03.837", "fingerprint" : "ba25bf02c7f6a340852a3af129f29473271ba0bfe3bd3f320ac26809ea891158", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oliver/jobs/8007126", "externalId" : "8007126", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Italy", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Italy", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, AWS, GCP, Azure, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data models, Build and maintain data pipelines, Perform statistical analysis, Develop machine learning models, Create business intelligence dashboards, Analyze large datasets, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or a related quantitative field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Established in 2004, OLIVER is the world’s first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences. As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Senior Social Insights Analyst Location: Italy (remote) ABOUT THE ROLE We are seeking a Research able to anticipate insight needs and build tailored responses Curious, growth‑minded, and eager to continually learn and push boundaries Confident working in fast‑paced, evolving environments with multiple stakeholders Collaborative, open‑minded team player Req ID: 17325 #LI-JP1 #LI-Hybrid #LI-director Our values shape everything we do: Be Ambitious to succeed  Be Imaginative to push the boundaries of what’s possible  Be Inspirational to do groundbreaking work  Be always learning and listening to understand  Be Results-focused  to exceed expectations  Be actively pro-inclusive and anti-racist across our community, clients and creations  OLIVER, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.   OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.", "summaryDescription" : "Senior Social Insights Analyst at OLIVER Agency. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data models. Build and maintain data pipelines", "postedDate" : "2026-06-15T23:17:46.048", "createdAt" : "2026-06-15T23:17:46.048", "lastUpdated" : "2026-06-16T08:41:03.837", "ingestTimestamp" : "2026-06-15T23:17:46.048", "mongoId" : "6a305714f292fd229cf339cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 502.9654, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305117f292fd229cef9692", "title" : "Brand Insights Manager", "industry" : "Analyst", "salary" : { "min" : 60000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Brand Insights Manager in Bulgaria, adjusted for mid-seniority and full-time employment." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:24:26.000", "fingerprint" : "98adda4b3ade60bc30f28596f41c6db91ad433fa663dd199c403f8914931cf4f", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/dbb19793-6b0d-4baa-91dc-735a64b40380/apply", "externalId" : "dbb19793-6b0d-4baa-91dc-735a64b40380", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Excel", "professionalSkills" : [ "Data analytics", "Customer insights", "Consulting", "Data interpretation", "Brand performance", "Marketing strategy" ], "hardSkillsList" : [ "Quantitative analysis", "Qualitative understanding" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Qualitative understanding", "level" : "intermediate" } ], "majorSkills" : "Client presentations, Data storytelling, Client relationship management", "majorSkillsList" : [ "Client presentations", "Data storytelling", "Client relationship management" ], "coreResponsibilities" : "Own and manage a portfolio of client accounts, Ensure engagement, satisfaction, and long-term retention, Conduct regular reviews, Proactive communication with clients, Translate client goals into measurement frameworks, Translate client goals into reporting structures, Translate client goals into actionable insights, Deliver timely, high-quality reports, Deliver performance analyses, Highlight brand impact, Highlight trends, Highlight opportunities for optimization, Act as a trusted advisor to clients, Present insights and recommendations, Shape strategic marketing decisions, Shape communication decisions, Identify upsell opportunities, Identify cross-sell opportunities, Collaborate with sales teams, Support growth initiatives, Support renewals, Maintain accurate client records, Maintain reporting, Maintain documentation within CRM systems, Track account health, Track account risks, Collaborate with internal teams, Share customer feedback, Support product improvements, Contribute to new KPI development, Analyze qualitative data, Analyze quantitative data, Uncover trends, Uncover patterns, Uncover performance drivers", "teamCollaboration" : "Collaborate with sales teams; Collaborate with internal teams", "projectManagementSkills" : [ "Managing multiple projects" ], "domainKnowledge" : "Brand performance; Marketing strategy; Data interpretation", "domainList" : [ "brand-performance", "marketing-strategy", "data-interpretation" ], "domainSpecificKnowledge" : [ "Brand performance", "Marketing strategy", "Data interpretation" ], "toolProficiency" : [ "CRM systems" ], "communicationSkills" : "Client presentations; Storytelling", "documentationSkills" : "Reporting; Documentation", "continuousLearning" : "Learning and development support", "problemSolvingSkills" : "Data interpretation; Actionable recommendations", "qualificationsBasic" : "5+ years of experience in data analytics, 5+ years of experience in customer insights, 5+ years of experience in consulting, 5+ years of experience in data-driven client-facing role, Proficiency in Excel, Experience transforming data into clear, compelling insights and narratives, Proven ability to lead client presentations, Communicate complex findings through storytelling, Relationship-building skills, Stakeholder management skills, Ability to influence clients effectively, Ability to advise clients effectively, Experience managing multiple projects simultaneously, Comfortable working in a consultative, client-facing role, Ability to combine quantitative analysis with qualitative understanding, Deliver actionable recommendations", "qualificationsPreferred" : "Experience in a similar data-driven client-facing role", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own and manage a portfolio of client accounts, ensuring strong engagement, satisfaction, and long-term retention through regular reviews and proactive communication. Translate client marketing and communication goals into clear measurement frameworks, reporting structures, and actionable insights. Deliver timely, high-quality reports and performance analyses that highlight brand impact, trends, and opportunities for optimization. Act as a trusted advisor to clients, presenting insights and recommendations that shape strategic marketing and communication decisions. Identify upsell and cross-sell opportunities and collaborate with sales teams to support growth initiatives and renewals. Maintain accurate client records, reporting, and documentation within CRM systems while tracking account health and risks. Collaborate with internal teams to share customer feedback, support product improvements, and contribute to new KPI development. Analyze qualitative and quantitative data to uncover trends, patterns, and performance drivers across brand portfolios. Requirements: 5+ years of experience in data analytics, customer insights, consulting, or a similar data-driven client-facing role. Strong analytical skills with proficiency in Excel and experience transforming data into clear, compelling insights and narratives. Proven ability to lead client presentations and communicate complex findings through storytelling at multiple organizational levels. Strong relationship-building and stakeholder management skills, with the ability to influence and advise clients effectively. Experience managing multiple projects simultaneously in fast-paced and evolving environments. Strong curiosity and interest in brand performance, marketing strategy, and data interpretation. Ability to combine quantitative analysis with qualitative understanding to deliver actionable recommendations. Comfortable working in a consultative, client-facing role that blends analysis, strategy, and communication. Benefits: Competitive salary with performance-based compensation (varies by location and experience). Flexible remote work arrangements, with opportunities to collaborate internationally. Comprehensive health, dental, and vision insurance (based on location). Paid time off and holidays to support work-life balance. Learning and development support to encourage continuous growth and skill-building. Exposure to leading global brands in fashion, lifestyle, and beauty industries. Collaborative, people-first culture focused on autonomy, impact, and professional development. ## 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" : "Brand Insights Manager. Skills: Client presentations, Data storytelling, Client relationship management. Own and manage a portfolio of client accounts. Ensure engagement, satisfaction, and long-term retention", "postedDate" : "2026-06-15T15:48:25.672", "createdAt" : "2026-06-15T15:48:25.672", "lastUpdated" : "2026-06-16T11:24:26.000", "ingestTimestamp" : "2026-06-16T03:20:42.612", "mongoId" : "6a305117f292fd229cef9692", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Qualitative understanding", "Client presentations", "Data storytelling", "Client relationship management", "Data analytics", "Customer insights", "Consulting", "Data interpretation", "Brand performance", "Marketing strategy", "Managing multiple projects", "CRM systems" ], "skillCount" : 13, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 495.64447, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.92 }, { "id" : "69f9b8034c40e2acd111404d", "title" : "Media Manager, Reputation Marketing & Insights", "company" : "Amazon.com Services LLC", "industry" : "Marketing PR, Product Management, global communications and community impact", "salary" : { "min" : 152000.0, "max" : 206000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T03:10:05.678", "fingerprint" : "d5ee344ebe22445bd18d494acb2887c6a1ad9259932b3140274651f96710f47c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10410176/apply", "externalId" : "dc429791-a205-4898-aacb-f68ec5101de7", "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", "professionalSkills" : [ "Media planning", "Campaign execution", "Reputation marketing", "Paid media", "Public affairs" ], "hardSkillsList" : [ "Data-driven insights", "Campaign performance metrics", "Scalable processes" ], "softSkillsList" : [ "Resourceful", "Think big", "Connected to details", "Curiosity" ], "hardSkills" : [ { "name" : "Data-driven insights", "level" : "intermediate" }, { "name" : "Campaign performance metrics", "level" : "intermediate" }, { "name" : "Scalable processes", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Resourceful" }, { "name" : "Think big" }, { "name" : "Connected to details" }, { "name" : "Curiosity" } ], "majorSkills" : "Paid media campaigns, Reputation marketing, Data-driven insights", "majorSkillsList" : [ "Paid media campaigns", "Reputation marketing", "Data-driven insights" ], "coreResponsibilities" : "Develop paid media campaigns, Manage holistic media planning, Manage day-to-day campaign operations, Optimize campaigns, Balance competing priorities, Build media plans, Identify key optimizations, Ensure campaigns deliver objectives, Identify opportunities for scalable processes, Develop mechanisms to measure effectiveness, Partner with product experts, Write comprehensive media briefs, Oversee agency partners' campaign management, Develop campaign strategies, Interpret insights from data, Educate stakeholders about paid marketing, Develop and execute product roadmap", "teamCollaboration" : "Research teams; Creative teams; Measurement teams; Public policy teams; Agency partners; Leadership; Cross-functional stakeholders; Internal partners; External stakeholders; Product experts", "projectManagementSkills" : [ "Roadmap strategy", "Feature delivery" ], "domainKnowledge" : "Public affairs landscape; Brand strategy; Customer acquisition; Campaign management; Growth metrics; Economic impact; Small business; Technological innovation; Customer experience", "domainList" : [ "public-affairs-landscape", "brand-strategy", "customer-acquisition", "campaign-management", "growth-metrics", "economic-impact", "small-business", "technological-innovation", "customer-experience" ], "domainSpecificKnowledge" : [ "Public affairs landscape", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Economic impact", "Small business", "Technological innovation", "Customer experience" ], "communicationSkills" : "Executive presentations", "documentationSkills" : "Media briefs", "problemSolvingSkills" : "Data-driven insights; Strategic recommendations", "outcomesObjectives" : "Achieve real-world outcomes; Deliver on objectives", "qualificationsBasic" : "Own/drive roadmap strategy, Feature delivery and tradeoffs, Online or digital advertising", "qualificationsPreferred" : "Influencing senior leadership, Working across functional teams, 5+ years public policy, 5+ years advocacy experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The individual selected for this position will support the US media strategy, planning, and execution of paid media campaigns by Reputational Marketing & Insights (RMI). The work will challenge you to be resourceful, think big while staying connected to the details, translate data-driven insights into strategic recommendations, and embrace a high degree of change and ambiguity at speed. The scope and scale of what we strive to achieve is immense, but it is also meaningful and energizing. Key job responsibilities Reputation Marketing & Insights (RMI) is hiring a Media Manager to develop and execute paid media campaigns to educate key audiences about important public affairs issues relevant to Amazon’s brand. The individual selected for this position will support paid advertising programs with global impact within Amazon’s Communications and Corporate Responsibility organization. The work will challenge you to be resourceful, think big while staying connected to the details, produce data-driven insights and recommendations, and embrace a high degree of change and ambiguity at speed. Working with research, creative, measurement, and public policy teams — as well as external agency partners — you will manage holistic media planning and execution for several key global reputation initiatives per year based on real-time business needs. You will independently manage day-to-day campaign operations and optimizations (via agency partners), while collaborating with leadership and cross-functional stakeholders on strategic direction. You will balance competing priorities such as speed-to-market vs. sophistication, or reach vs. frequency goals. You will deploy your understanding of paid media and your knowledge and curiosity of the public affairs landscape to build media plans, identify key optimizations, and ensure that campaigns deliver on their objectives. You will be accountable for campaign performance metrics including awareness lift, message association, and cost efficiency. You will identify opportunities to create scalable processes and best practices for reputation marketing campaigns. You will help develop mechanisms to measure and communicate campaign effectiveness to senior stakeholders. And you will partner closely with other product experts throughout the company to build the next generation of industry-leading media buying tools. A day in the life As a Media Manager, you will: Write comprehensive media briefs that align public affairs objectives with marketing strategies (e.g., economic impact, small business, technological innovation, customer experience) Oversee agency partners' day-to-day campaign management Collaborate with internal partners (e.g., research, creative, measurement, and public policy counterparts) to develop campaign strategies that educate and build trust with key global audiences Interpret insights from data in ways that can be actioned quickly and nimbly Educate internal and external stakeholders of varying technological and marketing backgrounds about paid marketing strategies and tactics Jointly developing and executing a product roadmap for brand and reputational buying tools in the Amazon demand-side platform. About the team Our team strives to identify the persuasive return on investment for every dollar we spend. We build marketing plans that persuade our core audiences through best-in-class media tactics and measurement methodology that enables us to optimize towards the principles and platforms that achieve real-world outcomes at the expense of those that don’t. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded marketer and enable them to take on more complex tasks in the future. Basic Qualifications: - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience in online or digital advertising Preferred Qualifications: - Experience in influencing senior leadership through data driven insights - Experience working across functional teams and senior stakeholders - 5+ years of relevant public policy and advocacy experience 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 152,200.00 - 206,000.00 USD annually USA, VA, Arlington - 136,000.00 - 184,100.00 USD annually USA, WA, Seattle - 136,000.00 - 184,100.00 USD annually", "summaryDescription" : "Media Manager, Reputation Marketing & Insights at Amazon.com Services LLC. Skills: Paid media campaigns, Reputation marketing, Data-driven insights. Develop paid media campaigns. Manage holistic media planning", "postedDate" : "2026-06-13T06:29:09.089", "createdAt" : "2026-06-13T06:29:09.089", "lastUpdated" : "2026-06-15T03:10:05.678", "ingestTimestamp" : "2026-06-13T06:29:09.089", "mongoId" : "69f9b8034c40e2acd111404d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10410176/apply", "salaryAnnualMin" : 152000, "salaryAnnualMax" : 206000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data-driven insights", "Campaign performance metrics", "Scalable processes", "Resourceful", "Think big", "Connected to details", "Curiosity", "Paid media campaigns", "Reputation marketing", "Media planning", "Campaign execution", "Paid media", "Public affairs", "Roadmap strategy", "Feature delivery", "Public affairs landscape", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Economic impact", "Small business", "Technological innovation", "Customer experience" ], "skillCount" : 24, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "_score" : 494.37982, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2176c774d8ee00a0c1adbc", "title" : "Data Engineer, WW Promotions Data and Insights", "company" : "Amazon Development Centre Canada ULC", "industry" : "Data Science, Data Engineering, north america stores", "salary" : { "min" : 103300.0, "max" : 172600.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T03:12:51.771", "fingerprint" : "be379a15adb0d165f4e7fbac44c1dc26058391c402487f29249070d19d908bff", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "externalId" : "88a730ec-f4bb-4fe3-bfe8-4633080161a6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Redshift, S3, Glue, EMR, Kinesis, Lambda, Python, Scala, Airflow", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD" ], "hardSkillsList" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data processing systems", "level" : "intermediate" }, { "name" : "Data pipeline performance", "level" : "intermediate" }, { "name" : "Data reliability", "level" : "intermediate" }, { "name" : "Cost-efficiency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data engineering, AWS services, Data pipelines", "majorSkillsList" : [ "Data engineering", "AWS services", "Data pipelines" ], "coreResponsibilities" : "Design data processing systems, Build data processing systems, Operate data processing systems, Leverage expertise in Python, Develop custom data processing frameworks, Develop automation tools, Collaborate with data scientists, Collaborate with analysts, Collaborate with product managers, Optimize data pipeline performance, Optimize data pipeline reliability, Optimize data pipeline cost-efficiency, Mentor junior engineers, Share knowledge of data engineering, Stay up-to-date with big data technologies, Stay up-to-date with architectural patterns, Drive adoption of innovative solutions", "teamCollaboration" : "With data scientists; With analysts; With product managers", "domainKnowledge" : "Promotions data; Promotional strategies; Selling Partners; Big data technologies; Architectural patterns", "domainList" : [ "promotions-data", "promotional-strategies", "selling-partners", "big-data-technologies", "architectural-patterns" ], "domainSpecificKnowledge" : [ "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns" ], "toolProficiency" : [ "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "continuousLearning" : "Stay up-to-date with technologies; Drive adoption of solutions", "innovationCreativity" : "Drive adoption of innovative solutions", "problemSolvingSkills" : "Translate business requirements", "qualificationsBasic" : "3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines", "qualificationsPreferred" : "Experience with AWS technologies, Experience with non-relational databases, Usage of generative AI tools, Willingness to learn AI prompting, Ability to recognize AI opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about developing the next generation of data infrastructure capable of handling complex, mission-critical data pipelines and analytics workloads? Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data? Join our WW Promotions Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's promotional strategies across every major shopping event worldwide. Key job responsibilities 1. Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow 2. Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools 3. Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions 4. Continuously optimize data pipeline performance, reliability, and cost-efficiency using best practices in CI/CD and infrastructure-as-code 5. Mentor junior engineers and share your knowledge of data engineering best practices 6. Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions About the team Promotions reinforce a positive perception of Amazon’s price leadership with shoppers by complementing our everyday great prices with time-bound discounts on a broad selection of high-quality products. For Selling Partners (SPs), promotions create incremental demand for their products and increase their share of voice, clear inventory, and drive traffic to new selection. WW Promotions owns the sourcing and execution of promotions at Amazon and we are their data & analytics team. We serve as the central stewards of promotions data, delivering trusted and governed datasets that power product development, machine learning models, and business analytics across the organization. Basic Qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. 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. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 103,300.00 - 172,600.00 CAD annually", "summaryDescription" : "Data Engineer, WW Promotions Data and Insights at Amazon Development Centre Canada ULC. Skills: Data engineering, AWS services, Data pipelines. Design data processing systems. Build data processing systems", "postedDate" : "2026-06-13T09:12:42.868", "createdAt" : "2026-06-13T09:12:42.868", "lastUpdated" : "2026-06-15T03:12:51.771", "ingestTimestamp" : "2026-06-13T09:12:42.868", "mongoId" : "6a2176c774d8ee00a0c1adbc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency", "Mentoring", "Data engineering", "AWS services", "Data pipelines", "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD", "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns", "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "skillCount" : 25, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 492.6706, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c7e8174d8ee00a0952a88", "title" : "Insights Sales Lead", "company" : "dunnhumby", "industry" : "Retail", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Insights Sales Lead in London, UK, adjusted for the retail industry and dunnhumby's company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T04:21:21.290", "fingerprint" : "cc6c31c78d2460e0c6ec3496a8820aa907d71254efe49ac9841e8d125d36d4e2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dunnhumby/jobs/7654891003", "externalId" : "7654891003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Category management strategies", "Client relationship management", "Commercial accountability", "Value opportunity identification", "Insight translation", "Forecasting", "Opportunity pipeline management" ], "hardSkillsList" : [ "Data analysis", "Insight generation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Insight generation", "level" : "intermediate" } ], "majorSkills" : "Client partnerships, Commercial growth, Insight-led recommendations", "majorSkillsList" : [ "Client partnerships", "Commercial growth", "Insight-led recommendations" ], "coreResponsibilities" : "Own commercial performance across clients, Build senior-level client partnerships, Diagnose business challenges, Translate insight into recommendations, Identify, shape and progress opportunities, Lead client conversations, Influence decision-making, Drive meaningful action, Maintain accurate forecasting, Manage opportunity pipeline", "teamCollaboration" : "Partner closely with Client Success", "domainKnowledge" : "Customer Data Science; Retail insight", "domainList" : [ "customer-data-science", "retail-insight" ], "domainSpecificKnowledge" : [ "Customer Data Science", "Retail insight" ], "communicationSkills" : "Client conversations; Stakeholder influence", "continuousLearning" : "Develop commercial skills; Develop client-partnering skills", "problemSolvingSkills" : "Diagnose complex challenges; Translate data into insight", "outcomesObjectives" : "Deliver measurable impact; Drive revenue growth; Achieve long-term value", "qualificationsBasic" : "Commercial, insight or client-facing role experience, Accountable for commercial outcomes, Analytical and numerical capability, Translate data into actionable insight, Consultative mindset, Shape solutions, Clear, credible communication skills, Influence stakeholders at varying levels, Work across clients of differing size, maturity and complexity, Growth-oriented mindset", "qualificationsPreferred" : "Experience in retail, FMCG/CPG or data-led environments", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. Location: London This role sits at the centre of how leading brands use insight to drive growth with Tesco. You will operate as a trusted advisor to clients, working closely with them to understand complex commercial challenges, shape insight‑led category management strategies, and deliver measurable impact across their Tesco performance. While not a traditional sales role, the position carries clear commercial accountability. You will be responsible for owning senior client relationships, identifying and progressing value opportunities, and translating insight into commercially meaningful outcomes. You’ll work across a varied client portfolio, with scope and complexity aligned to experience and evolving business need. This role offers significant ownership, influence, and progression. What you’ll do Own commercial performance across a portfolio of Tesco‑facing clients, with clear accountability for revenue, growth and long‑term value Build trusted, senior‑level client partnerships grounded in commercial understanding, insight and data Diagnose complex business challenges and translate insight into clear, value‑led recommendations Identify, shape and progress opportunities across renewals, expansion and new solutions Lead structured, insight‑led client conversations that influence decision‑making and drive meaningful action Maintain accurate forecasting and a disciplined, prioritised opportunity pipeline Partner closely with Client Success to ensure high‑quality delivery and sustained commercial impact What you’ll bring Experience in a commercial, insight or client‑facing role within retail, FMCG/CPG or data‑led environments Confidence taking ownership of client relationships and being accountable for commercial outcomes Strong analytical and numerical capability, with the ability to translate data into compelling, actionable insight A consultative mindset, focused on diagnosing problems and shaping solutions rather than presenting information Clear, credible communication skills, with the ability to influence stakeholders at varying levels of seniority Comfort working across clients of differing size, maturity and complexity A growth‑oriented mindset, with ambition to develop into more complex and strategic client partnerships over time Why join? This is a high‑impact role with strong visibility, offering exposure to Tesco, leading brands, and some of the most advanced retail insight capabilities in the market. You’ll develop deep commercial and client‑partnering skills, work across a broad range of business challenges, and have a clear pathway into more senior Client Partner roles as your scope and influence expand. What you can expect from us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)", "summaryDescription" : "Insights Sales Lead at dunnhumby. Skills: Client partnerships, Commercial growth, Insight-led recommendations. Own commercial performance across clients. Build senior-level client partnerships", "postedDate" : "2026-06-14T20:02:39.238", "createdAt" : "2026-06-14T20:02:39.238", "lastUpdated" : "2026-06-16T04:21:21.290", "ingestTimestamp" : "2026-06-14T20:02:39.238", "mongoId" : "6a2c7e8174d8ee00a0952a88", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Insight generation", "Client partnerships", "Commercial growth", "Insight-led recommendations", "Category management strategies", "Client relationship management", "Commercial accountability", "Value opportunity identification", "Insight translation", "Forecasting", "Opportunity pipeline management", "Customer Data Science", "Retail insight" ], "skillCount" : 14, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 488.68472, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305119f292fd229cef9cda", "title" : "Manager, Market Insights", "industry" : "Analyst", "salary" : { "min" : 116000.0, "max" : 151000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T13:45:38.605", "fingerprint" : "d66f1971169ac564a69c18fbdb30288bf744ae50764e73f4ee6cd93e74d98a62", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/fc6ba82f-ae7e-4f6c-b23e-cceb9f318a4e/apply", "externalId" : "fc6ba82f-ae7e-4f6c-b23e-cceb9f318a4e", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceLevel" : "Manager", "technicalSkills" : "Excel, PowerPoint, Word", "professionalSkills" : [ "Market research", "Commercial analytics", "Competitive intelligence", "Qualitative research", "Quantitative research", "Data synthesis", "Business decision-making", "Strategic recommendations", "Resource management" ], "hardSkillsList" : [ "Message testing", "Customer journey analysis", "Brand performance tracking", "Vendor selection", "Timeline management", "Budget management", "Trend identification" ], "hardSkills" : [ { "name" : "Message testing", "level" : "intermediate" }, { "name" : "Customer journey analysis", "level" : "intermediate" }, { "name" : "Brand performance tracking", "level" : "intermediate" }, { "name" : "Vendor selection", "level" : "intermediate" }, { "name" : "Timeline management", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Trend identification", "level" : "intermediate" } ], "majorSkills" : "Market research, Data analysis, Insight generation", "majorSkillsList" : [ "Market research", "Data analysis", "Insight generation" ], "coreResponsibilities" : "Design primary market research initiatives, Lead primary market research initiatives, Manage end-to-end research projects, Select vendors, Oversee execution, Manage timelines, Manage budgets, Communicate progress to leadership, Leverage secondary data sources, Identify market trends, Support business decision-making, Integrate primary research findings, Generate actionable insights, Generate strategic recommendations, Collaborate with cross-functional stakeholders, Define research priorities, Address ad hoc analytical needs, Evaluate new research methodologies, Introduce new research methodologies, Enhance insight generation, Enhance analytical capabilities, Contribute to annual planning, Contribute to budget allocation, Ensure effective resource management", "teamCollaboration" : "Cross-functional stakeholders; Marketing; Sales; Market Access; Insights teams", "projectManagementSkills" : [ "Vendor management", "Timeline management", "Budget management" ], "domainKnowledge" : "Biopharmaceutical environments; Biotechnology environments; Healthcare data sources; Claims data; Promotional data; Prescription data", "domainList" : [ "biopharmaceutical-environments", "biotechnology-environments", "healthcare-data-sources", "claims-data", "promotional-data", "prescription-data" ], "domainSpecificKnowledge" : [ "Biopharmaceutical environments", "Biotechnology environments", "Healthcare data sources", "Claims data", "Promotional data", "Prescription data" ], "toolProficiency" : [ "Excel", "PowerPoint", "Word" ], "communicationSkills" : "Storytelling; Presentations", "continuousLearning" : "Introduce new research methodologies; Introduce new tools; Introduce new approaches", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Data synthesis", "specialRequirements" : "Travel up to 20% domestically", "outcomesObjectives" : "Generate actionable insights; Generate strategic recommendations", "qualificationsBasic" : "Bachelor’s degree in Marketing, Business, Life Sciences, Market Research, or related equivalent experience, 6+ years of experience in market research, commercial analytics, or competitive intelligence within biopharmaceutical or biotechnology environments, Expertise in qualitative and quantitative research methodologies, Experience working with secondary healthcare data sources, Analytical and problem-solving skills, Excellent communication and storytelling skills, Proven ability to manage multiple projects, vendors, timelines, and budgets, Advanced proficiency in Excel, PowerPoint, and Word, Collaboration and stakeholder management skills", "qualificationsPreferred" : "Best practices for generating actionable insights, Ability to synthesize multiple data streams into clear business recommendations, Ability to translate complex findings into clear presentations for senior stakeholders, Attention to detail and organizational skills, Ability to influence across cross-functional teams", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design and lead primary market research initiatives such as message testing, customer journey analysis, brand performance tracking, and sales force effectiveness studies, ensuring appropriate methodologies are applied to key business questions. Manage end-to-end research projects including vendor selection, execution oversight, timeline and budget management, and regular communication of progress to leadership. Leverage secondary data sources such as claims, promotional data, and internal prescription data to identify market trends and support business decision-making. Integrate primary research findings with secondary data and competitive intelligence to generate actionable insights and strategic recommendations. Collaborate with cross-functional stakeholders across Marketing, Sales, Market Access, and Insights teams to define research priorities and address ad hoc analytical needs. Continuously evaluate and introduce new research methodologies, tools, and approaches to enhance insight generation and analytical capabilities. Contribute to annual planning and budget allocation for insights initiatives, ensuring effective resource management. Requirements: Bachelor’s degree in Marketing, Business, Life Sciences, Market Research, or related field; equivalent experience may be considered. 6+ years of experience in market research, commercial analytics, or competitive intelligence within biopharmaceutical or biotechnology environments. Strong expertise in qualitative and quantitative research methodologies and best practices for generating actionable insights. Experience working with secondary healthcare data sources, including claims, promotional, and prescription data. Strong analytical and problem-solving skills with the ability to synthesize multiple data streams into clear business recommendations. Excellent communication and storytelling skills, with the ability to translate complex findings into clear presentations for senior stakeholders. Proven ability to manage multiple projects, vendors, timelines, and budgets in a fast-paced environment. Advanced proficiency in Excel, PowerPoint, and Word, with strong attention to detail and organizational skills. Strong collaboration and stakeholder management skills, with the ability to influence across cross-functional teams. Ability to travel up to 20% domestically for meetings and company events. Benefits: Competitive base salary range of $116,000 – $151,000, plus short-term incentives and long-term equity compensation opportunities. Comprehensive health coverage including medical, dental, vision, disability, and life insurance for employees and eligible dependents. Retirement savings plan with employer match. Generous paid time off, holidays, and work-life balance programs. Access to wellness programs and employee assistance resources. Opportunity to work in a mission-driven environment focused on rare disease innovation and patient impact. Exposure to high-impact strategic projects with strong cross-functional visibility and leadership engagement. ## 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" : "Manager, Market Insights. Skills: Market research, Data analysis, Insight generation. Design primary market research initiatives. Lead primary market research initiatives", "postedDate" : "2026-06-15T10:10:06.604", "createdAt" : "2026-06-15T10:10:06.604", "lastUpdated" : "2026-06-16T13:45:38.605", "ingestTimestamp" : "2026-06-16T03:23:38.625", "mongoId" : "6a305119f292fd229cef9cda", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 116000, "salaryAnnualMax" : 151000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Message testing", "Customer journey analysis", "Brand performance tracking", "Vendor selection", "Timeline management", "Budget management", "Trend identification", "Market research", "Data analysis", "Insight generation", "Commercial analytics", "Competitive intelligence", "Qualitative research", "Quantitative research", "Data synthesis", "Business decision-making", "Strategic recommendations", "Resource management", "Vendor management", "Biopharmaceutical environments", "Biotechnology environments", "Healthcare data sources", "Claims data", "Promotional data", "Prescription data", "Excel", "PowerPoint", "Word" ], "skillCount" : 28, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 487.23682, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a305640f292fd229cf26503", "title" : "Lead, Finance Insights", "company" : "Delivery Hero", "industry" : "Internet", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "PKR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-Commerce in Karachi, Pakistan, adjusted for Lead seniority and full-time employment." }, "location" : "Karachi, PK", "locations" : [ "Karachi", "PK" ], "certifications" : [ "ACCA", "CA" ], "timestamp" : "2026-06-16T07:30:37.079", "fingerprint" : "c71bf2a12138d783572aaebb208ecaa5ea1c604a4a1c90a40bb7560d7fb6f0fc", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeliveryHero/744000132119619-lead-finance-insights", "externalId" : "744000132119619", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Karachi", "state" : "Sindh", "country" : "Pakistan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.8546842,67.0207055" } ], "locationText" : "Karachi, Sindh, Pakistan", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Excel, Financial planning systems, Reporting tools", "professionalSkills" : [ "Financial planning", "Analytical skills", "Financial modeling", "Data analysis", "Business partnering", "Stakeholder management", "Presentation abilities", "Communication abilities" ], "hardSkillsList" : [ "Financial analysis", "Performance reporting", "Strategic financial analysis", "Financial governance", "Performance management", "Variance analysis", "Scenario modeling", "Resource allocation", "Financial control", "Process optimization" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Performance reporting", "level" : "intermediate" }, { "name" : "Strategic financial analysis", "level" : "intermediate" }, { "name" : "Financial governance", "level" : "intermediate" }, { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Variance analysis", "level" : "intermediate" }, { "name" : "Scenario modeling", "level" : "intermediate" }, { "name" : "Resource allocation", "level" : "intermediate" }, { "name" : "Financial control", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" } ], "majorSkills" : "Financial Planning, Forecasting, Management Reporting, Financial Analysis", "majorSkillsList" : [ "Financial Planning", "Forecasting", "Management Reporting", "Financial Analysis" ], "coreResponsibilities" : "Lead annual budgeting process, Coordinate planning inputs, Develop bottom-up budgets, Analyze budget submissions, Prepare management presentations, Manage periodic forecasting cycles, Review financial performance, Identify performance gaps, Support development of financial KPIs, Prepare monthly financial reports, Lead financial performance reviews, Deliver financial insights, Ensure accuracy of reporting, Conduct ad-hoc financial analyses, Evaluate business initiatives, Support strategic projects, Provide recommendations to optimize profitability, Review month-end financial results, Perform variance analysis, Investigate significant movements, Support balance sheet reviews, Ensure compliance with policies, Drive enhancements in processes, Develop financial models, Maintain planning tools, Support automation initiatives, Contribute to finance transformation, Partner with country leadership, Facilitate alignment between objectives, Provide financial insights", "teamCollaboration" : "Business leaders; Functional stakeholders; Cross-functional teams; Country leadership; Functional heads; Regional finance teams; Shared service teams", "domainKnowledge" : "Financial planning; Budgeting; Forecasting; Performance reporting; Management reviews; Strategic financial analysis; Financial governance; Financial KPIs; Variance analysis; Business case evaluations; Scenario modeling; Investment opportunities; Resource allocation; Month-end close; Financial control; Financial models; Planning tools; Reporting solutions; Finance transformation", "domainList" : [ "financial-planning", "budgeting", "forecasting", "performance-reporting", "management-reviews", "strategic-financial-analysis", "financial-governance", "financial-kpis", "variance-analysis", "business-case-evaluations", "scenario-modeling", "investment-opportunities", "resource-allocation", "month-end-close", "financial-control", "financial-models", "planning-tools", "reporting-solutions", "finance-transformation" ], "domainSpecificKnowledge" : [ "Financial planning", "Budgeting", "Forecasting", "Performance reporting", "Management reviews", "Strategic financial analysis", "Financial governance", "Financial KPIs", "Variance analysis", "Business case evaluations", "Scenario modeling", "Investment opportunities", "Resource allocation", "Month-end close", "Financial control", "Financial models", "Planning tools", "Reporting solutions", "Finance transformation" ], "toolProficiency" : [ "Excel", "Financial planning systems", "Reporting tools" ], "communicationSkills" : "Presentation abilities; Communication abilities", "continuousLearning" : "Expand your skill set; Accelerate your career; Opportunities to learn; Grow", "problemSolvingSkills" : "Problem-solving capability", "outcomesObjectives" : "Achievement of financial targets; Improve business performance; Support strategic decision-making; Optimize profitability; Optimize cash flow; Optimize resource allocation; Make a meaningful impact", "qualificationsBasic" : "5–8 years of experience, Experience in budgeting, Experience in forecasting, Experience in management reporting, Experience in financial modeling, Experience working with senior stakeholders, Experience working with cross-functional teams", "qualificationsPreferred" : "Professional qualification such as ACCA, Professional qualification such as CA, Equivalent preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "foodpanda is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. Job Purpose The Lead, Finance Insights is responsible for driving financial planning, budgeting, forecasting, performance reporting, management reviews, and strategic financial analysis to support business decision-making. The role partners closely with business leaders and functional stakeholders to deliver financial insights, ensure robust financial governance, and enable achievement of financial targets through effective planning and performance management. Key Responsibilities: Financial Planning & Budgeting * Lead the annual budgeting process, including development of timelines, planning assumptions, budgeting templates, and governance frameworks. * Coordinate with business and functional stakeholders to gather planning inputs and ensure alignment with strategic objectives. * Develop and consolidate bottom-up budgets, including P&L, working capital, cash flow, and capital expenditure plans. * Analyze budget submissions, identify risks and opportunities, and recommend gap-closing initiatives. * Prepare management presentations and supporting materials for budget review and approval forums. Forecasting & Financial Performance Management * Manage periodic forecasting cycles, including Monthly and rolling forecasts and Quarterly Targets. * Review financial performance against budget, forecast, prior year, and strategic targets. * Identify performance gaps, key drivers, risks, and opportunities, and provide actionable recommendations. * Support development and monitoring of financial KPIs to improve business performance. Management Reporting & Business Reviews * Prepare monthly financial reports. * Lead financial performance reviews with senior management and business stakeholders. * Deliver meaningful financial insights, variance analysis, and commentary to support strategic decision-making. * Ensure accuracy, consistency, and timely delivery of management reporting packs. Financial Analysis & Business Partnering * Conduct ad-hoc financial analyses, business case evaluations, and scenario modeling. * Partner with commercial, supply chain, operations, and support functions to evaluate business initiatives and investment opportunities. * Support strategic projects and transformation initiatives through financial assessment and performance tracking. * Provide recommendations to optimize profitability, cash flow, and resource allocation. Month-End Close & Financial Governance * Review month-end financial results and validate completeness, accuracy, and consistency of financial information. * Perform variance analysis and investigate significant movements in financial performance. * Support balance sheet reviews, account reconciliations, and financial control activities. * Ensure compliance with internal policies, procedures, and financial governance requirements. Continuous Improvement * Drive enhancements in planning, forecasting, reporting, and financial analysis processes. * Develop and maintain financial models, planning tools, and reporting solutions. * Support automation, standardization, and process optimization initiatives across the finance function. * Contribute to finance transformation projects and implementation of best practices. Stakeholder Management * Partner with country leadership, functional heads, regional finance teams, and shared service teams. * Facilitate alignment between business objectives and financial targets. * Act as a trusted advisor by providing timely financial insights and recommendations. ## Qualifications Qualifications & Experience * Professional qualification such as ACCA, CA or equivalent preferred. * 5–8 years of experience in Financial Planning & Analysis, Commercial Finance, Business Finance, or Controlling. * Strong experience in budgeting, forecasting, management reporting, and financial modeling. * Experience working with senior stakeholders and cross-functional teams. Skills & Competencies * Strong financial planning and analytical skills. * Advanced financial modeling and data analysis capabilities. * Excellent business partnering and stakeholder management skills. * Strong presentation and communication abilities. * Ability to translate financial data into actionable business insights. * High attention to detail and problem-solving capability. * Proficiency in Excel, financial planning systems, and reporting tools ## Additional Information Why Join foodpanda Pakistan? * Our business is focused on growth which offers plenty of opportunities to take ownership, expand your skill set, and accelerate your career * Collaborative, high-performing, and diverse team environment * Flexible working arrangements, including Friday work-from-home * Competitive rewards package, including fuel card, corporate and mobile allowances * Comprehensive healthcare coverage, including OPD and IPD benefits * Opportunities to learn, grow, and make a meaningful impact in a fast-paced business", "summaryDescription" : "Lead, Finance Insights at Delivery Hero. Skills: Financial Planning, Forecasting, Management Reporting, Financial Analysis. Lead annual budgeting process. 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Skills: Marketing analytics, Data visualization, A/B testing. Develop and execute marketing strategies. 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Fundada no Brasil e presente na América Latina e na Península Ibérica, apoiamos mais de 1,3 milhão de comerciantes com serviços completos — da maquininha ao e-commerce. Fazemos parte da PagoNxt, a fintech global do Grupo Santander, e atuamos como um hub de adquirência com forte presença em Espanha, Portugal, Brasil, México, Chile, Argentina e Uruguai. Nossa missão é clara: simplificar os pagamentos com inovação, segurança e escala, ajudando negócios de todos os tamanhos a crescer com agilidade. Oferecemos uma plataforma unificada que integra hardware, software, prevenção à fraude, adquirência, conciliação e serviços financeiros — tudo em um só ecossistema, para que nossos clientes possam focar no crescimento do seu negócio. Fazer parte da Getnet é se juntar a uma empresa que combina a inovação de uma fintech com a solidez de um banco global. Imagine your future. Care for your career. Simplify your journey. Isso significa que você terá a chance de construir soluções de impacto, crescer com oportunidades reais de desenvolvimento e evoluir em uma cultura que valoriza bem-estar, inclusão e clareza. Combinamos flexibilidade, autonomia e colaboração global — para que você possa focar no que importa, se conectar com propósito e ajudar a moldar o futuro. Aqui, você vai encontrar espaço para crescer, oportunidades reais para liderar e uma cultura onde todas as pessoas pertencem e contribuem. ✨ Se você quer fazer parte da próxima geração de soluções financeiras, este é o lugar certo. Já te imagina sendo Nxter? Na Getnet, estamos buscando uma pessoa para a vaga de Analista Pleno de Analytics e Data Insights para se juntar ao nosso time em São Paulo. \uD83D\uDCCCO que você vai fazer Construir, atualizar e evoluir dashboards executivos e operacionais. Criação e manutenção de painéis para acompanhamento dos produtos. Acompanhar indicadores por produto, canal, segmento, região e perfil de cliente. Realizar análises de performance dos produtos, identificando variações, tendências, oportunidades e possíveis causas de crescimento ou queda. Apoiar a gestão dos funis de aquisição, ativação, uso, retenção e monetização dos produtos. Identificar gargalos na jornada do cliente e propor oportunidades de otimizaçã o. Modelagem de dados e segmentaçã o. Criação de cohorts e análises por comportamento. Apoiar as áreas de produto e negócio com análises estruturadas e recomendações baseadas em dados. Garantir consistência básica das informações utilizadas em dashboards e relatórios. Documentar conceitos, métricas e premissas utilizadas nas análises. ✅ O que buscamos em você Experiência prévia com Analytics, BI, Dados ou áreas correlatas. Conhecimento sólido em SQL e lógica de programaçã o. Experiência em construção de dashboards em Power BI. Capacidade de manipulação de grandes volumes de dados. Boa capacidade de comunicação para apresentar análises de forma clara e objetiva. Perfil analítico, organizado e orientado à resolução de problemas. Capacidade de atuar com autonomia em análises. Perfil hands-on + estratégico. ✅ O que pode contar pontos a mais Experiência em meios de pagamento, bancos ou fintechs. Conhecimento em produtos como Pix, Tap on Phone, Link de pagamento, PAT. Noções de experimentação (A/B test). Familiaridade com indicadores de rentabilidade, monetização ou eficiência comercial. Experiência com análise de jornada do cliente ou funis de produto. Conhecimento em Python/R (plus). \uD83C\uDFAF O que oferecemos \uD83E\uDE7A Assistência médica \uD83E\uDDB7 Assistência odontológica \uD83E\uDD73 Day off de aniversário \uD83D\uDE91 Seguro de vida \uD83D\uDC89 Campanha de vacinação anual \uD83D\uDE8C VT \uD83C\uDF5D VR/VA \uD83D\uDCB0 Bônus anual \uD83D\uDC76 Auxílio creche \uD83C\uDF85 Vale natalino \uD83E\uDD30 Extensão dos períodos de licença maternidade e paternidade \uD83E\uDDE0 Programa de Apoio Pessoal Especializado (PAPE) \uD83C\uDF0E Plataforma Ástex: recurso gratuito para você aprender um novo idioma (inglês, espanhol, francês, italiano, alemão ou português) \uD83D\uDCDA Acesso a uma plataforma de learning conectada a todos os conteúdos do LinkedIn Learning e o'Reilly ♨️ Possibilidade de contratação de empréstimos pessoais com juros menores que os de mercado \uD83D\uDCEC Seguinte passo Candidate-se e se você conhece alguém que possa estar procurando por essa oportunidade, compartilhe.", "summaryDescription" : "Analista Pleno de Analytics e Data Insights at Getnet. 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We partner with leading electric and gas utilities to provide strategic advisory and disciplined execution across program management, business intelligence, and field execution oversight. Guided by integrity, trust, excellence, and accountability, our team helps deliver complex capital programs and build the resilient energy infrastructure that communities depend on. Position Overview CARIAN is seeking an experienced Data Analytics Process Lead to support data analytics initiatives for a utility customer experience organization. This role will serve as the primary project manager and business liaison for analytics-related initiatives, working closely with program managers, IT, business stakeholders, and analytics resources. The ideal candidate has strong experience leading data-driven projects, gathering business requirements, supporting dashboard and reporting delivery, and translating business needs into practical analytics solutions. This is a senior, business-facing role requiring a strong mix of project management, process improvement, stakeholder communication, and technical analytics experience. The work may include Power BI dashboards, reporting solutions, data lake enhancements, executive reporting, business cases, and coordination across business and technical teams. Key Responsibilities - Serve as the project manager and primary point of contact for client’s data analytics initiatives. - Coordinate activities across program management, IT, analytics teams, business stakeholders, and external vendors. - Lead the planning, execution, monitoring, and delivery of analytics projects, including dashboards, reporting solutions, and data lake-related initiatives. - Develop and maintain project plans, roadmaps, status reports, risk assessments, and executive-level communications. - Facilitate stakeholder workshops and meetings to gather, document, and validate business requirements. - Translate business needs into functional specifications, user stories, data requirements, and analytics development priorities. - Partner with program managers, process leads, and business stakeholders to identify opportunities for data-driven process improvements and operational efficiencies. - Collaborate with IT, data engineering, and analytics teams to support Power BI dashboards, reporting solutions, data models, and data lake enhancements. - Ensure analytics solutions meet business objectives, usability expectations, and enterprise data governance standards. - Develop executive presentations, business cases, and communication materials that summarize project progress, findings, recommendations, business impacts, and analytics insights. - Build strong working relationships across business and technology organizations to support successful delivery. - Lead technical discussions, support analytics best practices, and provide oversight to analytics resources when needed. Qualifications - Bachelor’s degree in Business, Information Systems, Data Analytics, Computer Science, Engineering, Finance, or a related discipline. - 7+ years of relevant professional experience in project management, business analysis, process improvement, data analytics, reporting, or related fields. - 5+ years of experience in data analytics, business intelligence, data science, or a related field. - Experience managing cross-functional projects and coordinating work among business stakeholders, IT teams, analytics teams, and external vendors. - Strong experience gathering business requirements, facilitating workshops, documenting processes, and translating business needs into technical solutions. - Experience leading or providing technical oversight to analytics resources. - Experience developing or supporting SQL solutions, data models, and ETL/ELT processes within enterprise data environments. - Experience with Power BI dashboards and reports, or equivalent business intelligence and data visualization solutions. - Experience working with large datasets, relational databases, and enterprise reporting environments. - Familiarity with AWS cloud services supporting data integration, data lake, analytics, or reporting solutions. - Experience using Python for analytics, automation, statistical modeling, or AI/ML solution development. - Strong presentation, facilitation, written communication, and executive communication skills. - Strong analytical, problem-solving, organizational, and project management skills. - Ability to build collaborative relationships and influence stakeholders across multiple organizations. - Ability to manage multiple priorities and deliver results in a fast-paced environment. Preferred Experience - MBA or advanced degree in Business, Data Analytics, Information Systems, or a related field. - PMP certification or equivalent project management credential. - Experience serving as a Product Owner, Program Lead, Analytics Project Manager, Business Analyst, or Business Process Lead for enterprise analytics initiatives. - Experience supporting customer experience, energy efficiency, utility operations, or other process-focused organizations. - Familiarity with data governance, data quality, responsible AI practices, data warehousing, data lake architecture, and enterprise data management. - Experience developing business cases, investment justifications, executive reporting materials, and leadership presentations. - Understanding of Agile, Scrum, or other project delivery methodologies. - Experience coordinating consultants, contractors, analytics resources, or cross-functional project teams. Why CARIAN - Purpose-driven work – Help deliver infrastructure that powers communities - Industry reputation – Trusted by leading utilities for our reliability and results - Career growth – Opportunities to lead major programs and mentor high-performing teams - Collaborative culture – Join a team that values delivery excellence and long-term relationships - Competitive total rewards – Strong compensation, full benefits, 401(k) match, and meaningful work Equal Employment Opportunity CARIAN is proud to be an equal opportunity employer. We hire and develop talent based on qualifications, performance, and business needs. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. As a woman-owned firm dedicated to the power sector, we are committed to building a team that reflects professionalism, expertise, and integrity at every level. Compensation The salary range for this role is $120,000 – $155,000 annually. This range represents a good-faith estimate at the time of posting; actual compensation will depend on experience, qualifications, assignment requirements, schedule, and other factors permitted by law. In addition to base compensation, the role includes a comprehensive benefits package and a company 401(k) match.", "summaryDescription" : "Data Analytics Process Lead at CARIAN. Skills: Data Analytics, Data Science, Machine Learning, Business Intelligence. Develop and implement data analytics solutions. Build and maintain data pipelines", "createdAt" : "2026-06-14T19:22:29.006", "lastUpdated" : "2026-06-16T06:04:05.575", "ingestTimestamp" : "2026-06-14T19:22:29.006", "mongoId" : "6a2c772974d8ee00a093be51", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "ML/AI", "BI development", "Cloud data stacks", "Statistical methods", "ML frameworks", "BI platforms", "Modelling skills", "Data Analytics", "Data Science", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data platforms", "Data modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 48, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 465.36343, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "68b706997fc9a711f0f6fe69", "title" : "Senior Data Analyst, Ads, Sales Enablement & Insights", "company" : "Amazon Advertising", "industry" : "Data Science, Business Intel Engineer, Advertising", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Analyst in the Technology industry in Bengaluru, India, adjusted for seniority and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T04:24:06.134", "fingerprint" : "54b69ad1004c05cea3d218d7f19b57a3699b2b68dd740fbe67e230d52c94e0d7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051447/apply", "externalId" : "301d7cb9-36c7-4ad3-b81d-545f8a8790b2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, AI", "professionalSkills" : [ "Business analysis", "Data science", "Business intelligence", "Sales Enablement", "Insights generation", "Advertising initiatives" ], "hardSkillsList" : [ "Data manipulation", "Automation", "Modeling", "Quality control", "Scaling insights" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Modeling", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Scaling insights", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data analysis, Insights, Automation", "majorSkillsList" : [ "Data analysis", "Insights", "Automation" ], "coreResponsibilities" : "Lead critical analytical projects, Shape insights and recommendations, Understand customer advertising problems, Leverage Amazon's first party insights, Leverage third party insights, Identify potential insights solutions, Automate and scale insights, Mentor junior employees, Play active role in maintaining team culture, Collaborate with senior stakeholders, Help advertisers and agencies optimize investment, Grow investment on Amazon Ads, Create and enhance insights, Analyze complex datasets, Identify scaling opportunities, Design and implement quality control processes, Identify opportunities to leverage AI and automation, Maintain documentation and best practices", "teamCollaboration" : "Global stakeholder exposure; Collaborate with engineering teams; Collaborate with senior stakeholders", "domainKnowledge" : "Digital advertising; Media analytics; Ecommerce advertising", "domainList" : [ "digital-advertising", "media-analytics", "ecommerce-advertising" ], "domainSpecificKnowledge" : [ "Digital advertising", "Media analytics", "Ecommerce advertising" ], "communicationSkills" : "Written communication; Verbal communication; Data-driven narratives", "documentationSkills" : "Maintain documentation", "innovationCreativity" : "Leverage AI and automation", "problemSolvingSkills" : "Translate data into insights; Identify scaling opportunities", "qualificationsBasic" : "Bachelor's degree in quantitative discipline, 6+ years of experience in business analysis, data science, or business intelligence, Expert-level SQL skills, Programming skills in Python or R, Business acumen, Experience translating data into insights, Excellent written and verbal communication skills, Global stakeholder exposure, Collaborate with engineering teams, Use SQL and Python to create and enhance insights, Analyze complex datasets, Identify scaling opportunities, Design and implement quality control processes, Identify opportunities to leverage AI and automation, Maintain documentation and best practices", "qualificationsPreferred" : "Master's degree in computer science, Data Science, Engineering, or related field, Prior experience in digital advertising or media analytics, Knowledge of experimentation frameworks, Knowledge of statistical modeling techniques, Experience influencing senior decision-makers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising exists at the intersection of marketing and ecommerce and offers advertisers a rich array of innovative advertising solutions across Amazon owned properties, as well as third party properties Amazon operates. We believe that advertising, when done well, can greatly enhance the value of the customer experience and generate a positive return on investment for our advertising partners. The Analytics & Insights (A&I) organization develops actionable insights using Amazon’s unique data to influence how advertisers promote their businesses. Our insights enhance their marketing decision-making, leading to them to be measurably more successful with Amazon. The A&I organization consists of a variety of different Practices, which are groups that focus on different approaches to create these insights. Key job responsibilities We are looking for a Senior Analyst to lead critical analytical projects in support of Amazon’s Global Advertising organization. This individual will play a strategic role in shaping insights and recommendations that impact key advertising initiatives. The ideal candidate will be able to understand the customer's advertising problems and leverage Amazon's first party insights to find a solution. The candidate will also be able to leverage third party insights (when necessary). The candidate will identify potential insights solutions to automate and scale. They will help mentor junior employees on the team and play an active role in maintaining team culture and morale. This is a highly visible role, requiring collaboration with senior stakeholders in globally. About the team We are the Analytics & Insights team within the global Amazon Ads business. We solve problems for our sales teams, advertisers and partners by leveraging Amazon's rich first party insights and partnering with third party vendors (if needed). We help advertisers and agencies optimize and grow their investment on Amazon Ads. Basic Qualifications: - Bachelor’s degree in a quantitative discipline (e.g., Engineering, Math) - 6+ years of experience in business analysis, data science, or business intelligence - Expert-level SQL skills and experience manipulating large datasets - Strong programming skills in Python or R for automation and modeling - Strong business acumen and experience in translating data into insights - Excellent written and verbal communication skills with global stakeholder exposure - Collaborate with engineering teams to implement scalable solutions - Use SQL and Python to create and enhance insights, analyzing complex datasets to identify scaling opportunities - Design and implement quality control processes for scaled insights - Identify opportunities to leverage AI and automation in content creation - Maintain documentation and best practices for insights scaling Preferred Qualifications: - Master’s degree in computer science, Data Science, Engineering, or related field - Prior experience in digital advertising or media analytics - Knowledge of experimentation frameworks and statistical modeling techniques - Experience influencing senior decision-makers through data-driven narratives 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" : "Senior Data Analyst, Ads, Sales Enablement & Insights at Amazon Advertising. Skills: Data analysis, Insights, Automation. Lead critical analytical projects. Shape insights and recommendations", "postedDate" : "2026-06-13T11:47:34.930", "createdAt" : "2026-06-13T11:47:34.930", "lastUpdated" : "2026-06-15T04:24:06.134", "ingestTimestamp" : "2026-06-13T11:47:34.930", "mongoId" : "68b706997fc9a711f0f6fe69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3051447/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data manipulation", "Automation", "Modeling", "Quality control", "Scaling insights", "Mentoring", "Data analysis", "Insights", "Business analysis", "Data science", "Business intelligence", "Sales Enablement", "Insights generation", "Advertising initiatives", "Digital advertising", "Media analytics", "Ecommerce advertising" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 461.66077, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Ecommerce" }, { "id" : "6a2c7dc374d8ee00a0950b2c", "title" : "AI-driven QA Engineer", "company" : "Ubiquiti Inc.", "industry" : "Technology", "salary" : { "min" : 2500.0, "max" : 5000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Latvia", "locations" : [ "Latvia" ], "timestamp" : "2026-06-16T06:48:53.475", "fingerprint" : "97be2d2d7c95ceb8ff58dd91a78efcfc98f3e05100bcdf02c2cb65b84450a758", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4182935009", "externalId" : "4182935009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Latvia", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Latvia", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Ruby, TypeScript, Bash, Cucumber, AI tools, Claude, Codex", "professionalSkills" : [ "Test planning", "Bug reporting", "Troubleshooting", "UX design" ], "hardSkillsList" : [ "Manual testing", "Automation testing", "Web testing", "Mobile testing", "AI implementation", "Networking", "MQA testing", "AQA testing" ], "hardSkills" : [ { "name" : "Manual testing", "level" : "intermediate" }, { "name" : "Automation testing", "level" : "intermediate" }, { "name" : "Web testing", "level" : "intermediate" }, { "name" : "Mobile testing", "level" : "intermediate" }, { "name" : "AI implementation", "level" : "intermediate" }, { "name" : "Networking", "level" : "intermediate" }, { "name" : "MQA testing", "level" : "intermediate" }, { "name" : "AQA testing", "level" : "intermediate" } ], "majorSkills" : "QA Engineering, AI implementation, Networking", "majorSkillsList" : [ "QA Engineering", "AI implementation", "Networking" ], "coreResponsibilities" : "Plan manual testing initiatives, Lead manual testing initiatives, Plan automation testing initiatives, Lead automation testing initiatives, Ensure software releases meet or exceed, Identify opportunities for product, Communicate opportunities for product, Report bugs/errors to development teams, Help troubleshoot, Work with networking equipment for test coverage, Design AI-powered solutions, Test AI-powered solutions, Implement AI-powered solutions", "teamCollaboration" : "Collaborative team; Global development", "projectManagementSkills" : [ "Test planning" ], "domainKnowledge" : "Networking; Internet; WiFi; VLAN; Firewall; VPN; MQA; AQA; OSI layer; AI solutions", "domainList" : [ "networking", "internet", "wifi", "vlan", "firewall", "vpn", "mqa", "aqa", "osi-layer", "ai-solutions" ], "domainSpecificKnowledge" : [ "Networking", "Internet", "WiFi", "VLAN", "Firewall", "VPN", "MQA", "AQA", "OSI layer", "AI solutions" ], "toolProficiency" : [ "TestRail", "Test Suite" ], "communicationSkills" : "English; Latvian", "continuousLearning" : "Leverage modern AI tools", "innovationCreativity" : "AI solution implementation", "problemSolvingSkills" : "Troubleshoot; Root cause analysis", "outcomesObjectives" : "Ensure software releases meet or exceed", "qualificationsBasic" : "3+ years of experience testing modern Web and Mobile, Experience with TestRail/Test Suite creation, Experience with AI tools - Claude, Codex, etc, Experience with Ruby/TypeScript, Bash, Cucumber, Enjoys working in a collaborative team, General understanding in Networking (Internet, WiFi, VLAN, Firewall, VPN etc.), Understanding in MQA and AQA testing, Feel for a great UX and finding facing, Fluent in English and Latvian", "qualificationsPreferred" : "Experience with hardware, Experience with OSI layer/WiFi/Networks/VPN/Firewalls, or anything similar", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities: Plan and lead manual and automation testing initiatives to ensure software releases meet or exceed requirements; Identify and communicate opportunities for product improvement; Report bugs/errors to development teams and help troubleshoot issues; Work with networking equipment for test coverage purposes; AI solution implementation: Design, test, and implement AI-powered solutions for internal processes and customer-facing products. Requirements: 3+ years of experience testing modern Web and Mobile Applications; Experience with TestRail/Test Suite creation, or others; Experience with AI tools - Claude, Codex, etc. Experience with Ruby/TypeScript, Bash, Cucumber, Jenkins; Enjoys working in a collaborative team environment; General understanding in Networking (Internet, WiFi, VLAN, Firewall, VPN etc.); Strong understanding in MQA and AQA testing process; Feel for a great UX and finding facing issues; Fluent in English and Latvian. Nice to have: Experience with hardware devices; Experience with OSI layer/WiFi/Networks/VPN/Firewalls, or anything similar. Benefits: International work environment and work with global development teams; Ability to deliver software that is used by millions of people across the globe; Opportunity to leverage and integrate modern AI tools into product development; Access to all Ubiquiti products; Medical insurance; Hybrid approach - office in Riga; Flexible work hours; Compensation package matching global standards, including competitive salary depending on your qualification and background (starting from 2500 up to 5000 Euro gross monthly); A-class office with all the necessities - snacks, drinks, free parking, etc!", "summaryDescription" : "AI-driven QA Engineer at Ubiquiti Inc.. Skills: QA Engineering, AI implementation, Networking. Plan manual testing initiatives. Lead manual testing initiatives", "postedDate" : "2026-06-14T21:30:40.103", "createdAt" : "2026-06-14T21:30:40.103", "lastUpdated" : "2026-06-16T06:48:53.475", "ingestTimestamp" : "2026-06-14T21:30:40.103", "mongoId" : "6a2c7dc374d8ee00a0950b2c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Manual testing", "Automation testing", "Web testing", "Mobile testing", "AI implementation", "Networking", "MQA testing", "AQA testing", "QA Engineering", "Test planning", "Bug reporting", "Troubleshooting", "UX design", "Internet", "WiFi", "VLAN", "Firewall", "VPN", "MQA", "AQA", "OSI layer", "AI solutions", "TestRail", "Test Suite" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 459.32715, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca4a074d8ee00a09b2ab2", "title" : "Client Engagement Partner - AI-Driven Transformation & Process Intelligence (Pharma)", "company" : "Celonis", "industry" : "SaaS", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director level in Zurich, Switzerland for a SaaS company, adjusted for seniority and industry." }, "location" : "Zürich, Switzerland", "locations" : [ "Zürich", "Switzerland" ], "timestamp" : "2026-06-15T12:22:27.172", "fingerprint" : "8b93d6037f41d5fcb52060a4eff76b93bc3d37f3713d495db6bbe11af983faf8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/celonis/jobs/7771534003?gh_jid=7771534003", "externalId" : "7771534003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zürich", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.3744489,8.5410422" } ], "locationText" : "Zürich, Switzerland", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Business transformation", "Executive communication", "Product knowledge", "Industry expertise", "Analytical skills", "Consulting skills", "Program management", "Value realization", "Customer advocacy", "Asset development" ], "hardSkillsList" : [ "Process intelligence", "Process mining" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Process intelligence", "level" : "intermediate" }, { "name" : "Process mining", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Customer success, Business transformation, Process intelligence, Executive relationships", "majorSkillsList" : [ "Customer success", "Business transformation", "Process intelligence", "Executive relationships" ], "coreResponsibilities" : "Develop stakeholder relationships, Maintain stakeholder relationships, Ensure engagements are staffed, Mentor customer on organization design, Mentor customer on COE maturation, Coach team members, Provide guidance to team, Provide support to team, Offer feedback on performance, Drive customer value journey, Influence key stakeholders, Establish program roadmap, Establish detailed value plans, Resolve customer escalations, Orchestrate internal teams, Internalize customer strategy, Internalize customer targets, Drive delivery alignment, Support customer problems, Drive value realization, Drive adoption within accounts, Ensure project completion, Ensure client satisfaction, Meet usage targets, Meet adoption targets, Organize customer advisory boards, Lead customer advisory boards, Address industry challenges, Address industry innovations, Gather insights, Improve products, Improve services, Act as voice of customer, Ensure product alignment, Ensure service alignment, Collaborate on advocacy strategies, Drive customer presence, Drive customer sponsorship, Serve as Celonis leader, Collaborate on innovation development, Collaborate on asset development, Contribute to playbooks, Contribute to resources, Contribute to tools", "teamCollaboration" : "Global cross-functional teams; Customer advisory boards; Customer advocacy team", "projectManagementSkills" : [ "Program management", "Roadmap planning", "Value plans" ], "domainKnowledge" : "Process intelligence; Process mining; AI capabilities; Business process; Pharma industry", "domainList" : [ "process-intelligence", "process-mining", "ai-capabilities", "business-process", "pharma-industry" ], "domainSpecificKnowledge" : [ "Process intelligence", "Process mining", "AI capabilities", "Business process", "Pharma industry" ], "toolProficiency" : [ "Celonis platform" ], "communicationSkills" : "Executive communication; Customer presentations; Thought leadership", "continuousLearning" : "Mentorship programme", "innovationCreativity" : "Innovation development; Asset development", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "No relocation, No visa sponsorship", "outcomesObjectives" : "Maximize value; Drive business transformation; Increase adoption; Meet usage targets; Meet adoption targets; Ensure client satisfaction", "qualificationsBasic" : "15 years customer success experience, 15 years strategy consulting experience, Based in Switzerland, Legal right to work in Switzerland", "qualificationsPreferred" : "Pharma industry experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. The Role: The Client Engagement Partner (Client Value Partner) role is a key addition to our broader Value Engineering team and will play a crucial role in Celonis’ growth strategy. As a CVP, you will spearhead our mission of data-driven business transformation with our most strategic customers. You will lead extensive teams of Celonis experts to ensure the success and satisfaction of some of our top customer base on their journey to realizing value with Celonis. The CVP is the accountable lead for customer success, acting as the trusted advisor for a strategic customer. This involves engaging with C-Level Executives to collaboratively define the long-term vision for utilizing Celonis to transform their business while mobilizing the necessary Celonis resources. In collaboration with our cross-functional Celonis teams, you will drive measurable business impact across various processes and industries and accelerate the adoption of our platform. The CVP will also champion transformational initiatives across Celonis and customer accounts, fostering innovation and strategic change to maximize value and drive business transformation. We seek experienced professionals with a proven track record in managing executive relationships, driving profitable growth, and blending industry expertise with strong analytical and consulting skills. Join us at the forefront of one of the fastest-growing tech companies worldwide and help guide our customers to become the next Lighthouse Celonis customers. Please note that we are currently only considering candidates who are already based in Switzerland and have the legal right to work in Switzerland. We are not able to offer relocation or visa sponsorship for this role. The work you’ll do: Accountable Program Lead & Engagement Manager Develop and maintain strong relationships with key stakeholders, including C-level internal / external executives, embedding Celonis into their strategic objectives. Ensure engagements are properly staffed leveraging resources from global cross-functional Celonis teams, such as Servicing, Product & Engineering Mentor customer on organization design and maturation of Centers of Excellence to focus on increasing adoption of our platform. Mentor and coach team members, providing guidance and support for their success, and offer feedback to managers on team performance. Driving Customer Value Responsible for the end-to-end customer value journey Influence key customer stakeholders through executive communication, product knowledge, and industry/domain expertise. Work with senior stakeholders to establish the Celonis program roadmap and detailed value plans. Resolve customer escalations orchestrating internal teams efficiently and effectively in a timely manner Internalize the customer's strategy and targets and drive Celonis delivery alignment to that strategy, ensuring that we support the customer in solving business-critical problems Drive value realization and adoption within accounts, ensuring high-quality, on-time project completion, client satisfaction, and meeting usage and adoption targets. Community Builder and Customer Advocacy Organize and lead customer advisory boards to address industry-specific challenges and innovations, establishing a structured feedback loop to continuously gather insights and improve products and services. Act as the voice of the customer within the company, ensuring alignment of product development and service offerings with industry needs and customer feedback, while collaborating with the customer advocacy team on advocacy strategies. Drive customer presence and sponsorship at key Celonis and industry events, serving as a Celonis leader at conferences, webinars, and through published thought leadership. Collaborate on innovation or new asset development in specific domains, and contribute to playbooks, resources, and tools for the value engineering team to enhance their effectiveness. The Qualifications you need: Minimum 15 years of relevant customer success, strategy consulting, or related experience (or similar industries such as Production, Manufacturing etc.) required Strong experience in driving large scale transformation programs, process re-engineering engagements, and implementations Experience with AI-based transformation is a strong plus Deep exposure to and experience with successful change management practices Ability to navigate large global organizations and have the power of persuasion through data, facts and confidence Knows how to successfully work with internal resources to design, pitch and sell opportunities with relevant subject matter experts and practice leads Possess a natural and consultative approach when engaging with senior executives Strong team player who inspires the team with a patient and entrepreneurial leadership style Project management: ability to organize and manage multiple streams Strong communication skills and ability to translate Celonis use cases into customer business landscape Are self-motivated, proactive team player Are able to thrive in fast-paced, collaborative, and ambiguous environments with various stakeholders Total compensation package will include base salary + bonus/commission + equity + benefits. Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location. What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time \"Celonaut\" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated \"Wellness Weeks\" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video. Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process. Please be aware of common job offer scams, impersonators and frauds. Learn more here.", "summaryDescription" : "Client Engagement Partner - AI-Driven Transformation & Process Intelligence (Pharma) at Celonis. Skills: Customer success, Business transformation, Process intelligence, Executive relationships. Develop stakeholder relationships. 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We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms. We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare. Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii. About the Role This role empowers Rula’s partnership teams by transforming complex healthcare data into clear, compelling stories for our largest partners. As an individual contributor, you will be responsible for designing reliable reporting systems and directly presenting easy-to-understand insights to external stakeholders. By applying your technical skills to automate foundational reports, you will unlock the time needed to dive into deeper trends around care and operational success. Ultimately, you will be a key customer-facing guide at the crossroads of data and relationships, directly influencing how partners experience the value Rula brings to the table. Required Qualifications - 5+ years of experience, embedded within an Analytics, Data Science, Operations, Product, or Engineering function - A Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or related technical field with strong quantitative foundation - Experience working with health plans, healthcare analytics, payer and health-system-facing reporting - Advanced technical expertise with modern data stacks (i.e. SQL, dbt, Airflow, etc.) and data visualization tools (i.e. Looker, Tableau, Hex, etc.) - Experience operating as a highly collaborative cross-functional partner, with the ability to influence strategy, proactively anticipate cross-functional needs, and support internal client success/sales teams without having direct ownership of the account Preferred Qualifications While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement. - Experience within a fast-paced, high-growth, marketplace-centric startup environment with the ability to handle dynamic analytical priorities - A proven track record of successfully transitioning manual, one-off reporting tasks into automated, scalable workflows and templates - Deep understanding of specific healthcare performance indicators, such as clinical outcomes, cost of care, network adequacy, or utilization rates We're serious about your well-being! As part of our team, full-time employees receive: - 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii) - Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States - Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA - 401(k) plan access: Start saving for your future - Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees) - Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering - Employee Assistance Program (EAP): Supporting your mental and physical health - Quarterly department stipend: Fun team-building activities or in-person gatherings - Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all - Home office stipend: New hire home office stipend & $50 monthly stipend to help cover internet or cell phone expenses - Wellness at Rula program: Year-round wellness initiatives and a $50/month wellness stipend Our team We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.", "summaryDescription" : "Analytics Manager, Partner Insights at Rula. Skills: Data analytics, Reporting systems, Partner insights. Design reporting systems. 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Therefore, we prioritize individuals coming from all walks of life. Company Name: kanz Drive business process improvements and data-driven decision-making by analyzing organizational needs, gathering requirements, and delivering actionable insights to stakeholders in Riyadh. Job Duties and Responsibilities * Deliver 5+ requirement documents per quarter * Reduce process inefficiencies by 15% annually * Achieve 90% stakeholder satisfaction on projects * Complete projects within budget and timeline * Enable data-driven decisions with weekly reports ## Qualifications Required Qualifications * Minimum 5 years of experience as a Business Analyst * Bachelor's degree in Business, IT, or related field * Proven experience in requirements gathering and process mapping * Experience with Agile/Scrum methodologies * SQL * Microsoft Excel * Tableau / Power BI * JIRA / Confluence * Process modeling (BPMN, UML) * Data analysis tools * Stakeholder management * Communication skills * Problem-solving * Critical thinking", "summaryDescription" : "Business Process Analyst at kanz. Skills: Business process improvement, Data-driven decision-making, Requirements gathering, Stakeholder management. Analyze organizational needs. 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"69ce5e3b9bc74574cb6779a0", "title" : "AI-Driven After-Sales Logistics Operations Lead (Data & Analytics)", "company" : "Mercedes-Benz Research and Development India", "industry" : "Logistics", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Lead AI-Driven After-Sales Logistics Operations role in Bengaluru, India, adjusted for the automotive industry and company size." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "'Embassy Crest' Plot No 5, , EPIP Zone, Phase 1, " ], "certifications" : [ "Microsoft Certified: Power Platform Fundamentals", "Power Platform Solution Architect" ], "timestamp" : "2026-06-16T01:19:33.046", "fingerprint" : "ef6cc85cdb2795a538e69544be10b1a8d6bae6aeccc6eb189bb631901ae1f99a", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=836580", 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"Inventory optimization", "Demand prediction", "Predictive replenishment", "Stock-out prevention", "Lead-time analysis", "Order pattern analysis", "Anomaly detection", "Image recognition", "Semantic search", "Chatbot development", "Warehouse throughput analysis", "Order line analysis", "Pick/pack time analysis", "Data pipeline integration", "Model monitoring", "Predictive modeling", "Time-series forecasting", "Optimization algorithms", "SKU segmentation", "ABC analysis", "Inventory control", "Lead-time management", "Safety stock strategies" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Machine learning development", "level" : "intermediate" }, { "name" : "Inventory optimization", "level" : "intermediate" }, { "name" : "Demand prediction", "level" : "intermediate" }, { "name" : "Predictive replenishment", "level" : "intermediate" }, { "name" : "Stock-out prevention", "level" : "intermediate" }, { "name" : "Lead-time analysis", "level" : "intermediate" }, { "name" 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Prepare dashboards, Prepare visualizations, Present insights, Present recommendations, Research AI-driven automation tools, Improve spare parts logistics efficiency, Improve warehouse management efficiency, Design automation scripts, Deploy automation scripts, Eliminate manual processes, Enhance system integration efficiency", "teamCollaboration" : "Warehouse managers; Supply chain planners; IT teams; Digital transformation teams; Leadership teams", "projectManagementSkills" : [ "Agile", "Hybrid", "Waterfall" ], "domainKnowledge" : "Spare parts logistics; Warehouse operations; Aftersales supply chains; SKU segmentation; ABC analysis; Inventory control; Lead-time management; Safety stock strategies; Warehouse performance KPIs", "domainList" : [ "spare-parts-logistics", "warehouse-operations", "aftersales-supply-chains", "sku-segmentation", "abc-analysis", "inventory-control", "lead-time-management", "safety-stock-strategies", "warehouse-performance-kpis" ], "domainSpecificKnowledge" : [ 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communication, Risk management, Executive level reporting, Governance familiarity, CoE frameworks familiarity, Scalable solution design familiarity", "qualificationsPreferred" : "Microsoft Certified: Power Platform Fundamentals, Power Platform Solution Architect, Process mining experience, Change management experience, Enterprise transformation programs experience, LLMs and NLP frameworks experience, LangChain experience, OpenAI API experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: AI-Driven After-Sales Logistics Operations (Data & Analytics) AI-Driven After-Sales Logistics Operations Lead (Data & Analytics) Location: Bengaluru Job Type: Full time Department: RD/IGS About MBRDI Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Job Summary: We are seeking an experienced AI & ML professional with deep expertise in spare parts warehouse operations to design, develop, and implement machine learning models that improve forecasting accuracy, inventory optimization, demand prediction, and overall operational efficiency. The ideal candidate will bridge domain knowledge in automotive aftersales logistics with technical expertise in AI, ML, data analytics, and automation tools to enhance efficiency in warehouse/supply chain operations. Key Responsibilities: Develop and deploy ML models for: Spare parts demand forecasting and inventory optimization Predictive replenishment and stock-out prevention Supplier lead-time and order pattern analysis Anomaly detection for pricing, returns, and demand spikes Leverage AI techniques (NLP, computer vision, and LLMs) for: Automated parts identification using image recognition Semantic search across parts catalogs and technical documentation Intelligent chatbot assistants for warehouse or dealer queries Analyze operational data (warehouse throughput, order lines, pick/pack times) to identify process bottlenecks and recommend data-driven improvements. Collaborate cross-functionally with warehouse managers, supply chain planners, IT, and digital transformation teams to implement scalable AI solutions. Evaluate and integrate data pipelines from ERP/WMS systems (SAP, Oracle, or similar) for continuous model improvement and monitoring. Prepare dashboards and visualizations using tools like Power BI or Tableau to present insights and recommendations to leadership teams. Research and pilot AI-driven automation tools to improve efficiency in spare parts logistics and warehouse management. Design and deploy automation scripts using Python, SQL, or RPA tools to eliminate manual processes and enhance system integration efficiency. Required Qualifications: · Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Business, or a related field. · 7+ years of overall experience, including at least 3 years specializing in Artificial Intelligence/Machine Learning development and working with Microsoft Power Platform (Power Automate, Power BI, Power Apps) · Proven experience in designing and developing chatbots/AI assistants integrated with databases for user interaction and process automation. · Hands-on experience creating automation scripts or workflows to optimize manual data processes using tools such as Python (Pandas, OpenPyXL), Power Automate, or UiPath. · Strong knowledge of Power BI, Power Automate, Power Apps, and integration with Microsoft 365, Dynamics 365 and Microsoft Azure tools. · Strong proficiency in Python, with experience using ML libraries such as TensorFlow, PyTorch, and Scikit-learn. · Proven Experience with LLMs and NLP frameworks (Hugging Face, LangChain, OpenAI API) is a plus. · Experience managing agile, hybrid, or waterfall project lifecycles. · Proficient in stakeholder communication, risk management, and reporting at executive levels. · Familiarity with governance, Center of Excellence (CoE) frameworks, and scalable solution design. Preferred Qualifications (Nice to have) · Microsoft Certified: Power Platform Fundamentals or Power Platform Solution Architect. · Experience with process mining (Celonis, Signavio) · Experience in change management and enterprise transformation programs. Technical Knowledge · Experience integrating AI models and SQL data pipelines with BI dashboards or warehouse automation systems. · Knowledge of predictive modeling, time-series forecasting, and optimization algorithms. · Strong analytical and problem-solving skills, with excellent communication and the ability to work well across teams and regions. Domain Knowledge · In-depth understanding of spare parts logistics, warehouse operations, and aftersales supply chains. · Experience in SKU segmentation, ABC analysis, and inventory control principles. · Familiarity with lead-time management, safety stock strategies, and warehouse performance KPIs Why Join Us? • Be part of a purpose-driven organization that is shaping the future of mobility • Work on cutting-edge technologies and global projects • Thrive in a collaborative, diverse, and inclusive environment • Access world-class infrastructure and continuous learning opportunities Equal Opportunity Statement At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "AI-Driven After-Sales Logistics Operations Lead (Data & Analytics) at Mercedes-Benz Research and Development India. Skills: Machine Learning, Data Analytics, Logistics Operations, AI. Develop and deploy ML models. 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Stakeholders", "domainKnowledge" : "Retail industry insights", "domainList" : [ "retail-industry-insights" ], "domainSpecificKnowledge" : [ "Retail industry insights" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM" ], "communicationSkills" : "Present findings", "problemSolvingSkills" : "Data analysis; Troubleshooting", "qualificationsBasic" : "Bachelor's degree, 5+ years of experience, SQL proficiency", "qualificationsPreferred" : "Master's degree preferred, GCP Professional Data Engineer certification preferred, AWS Data Analytics certification preferred, Databricks Certified preferred, Dbt Certified preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NielsenIQ Customer Success places our customers at the heart of everything that we do. We strive to offer a consistent customer experience across all our markets by harmonizing our ways of working, focusing on engagement and driving analytics excellence. We give our customers an enjoyable, easy, effective service featuring a modernized customer experience. Customer Success is instrumental to realize the NielsenIQ vision to be a leading global information services company with strong, market leading growth enabled by new, innovative product offerings and modern technology that creates substantial value for our customers, retailers and employees. You’ll be working within the Analytics & Insights team, responsible for delighting clients around South Africa through delivering retail measurement insights and analysis for Retailer clients. Responsibilities Service Management: - Ensure the delivery of value analysis in a timely manner, aligned with strategic business priorities defined in the Account Plan with clients in South Africa - Support the generation of thought leadership materials. - Support account team building materials to new conversations with prospect clients -Providing performance overview analysis and business issue analysis to Retailer clients -Developing deep knowledge of NielsenIQ RMS solutions and delivering value for clients - Working closely with the Consulting Lead, Operations Team and Retailer Vertical to transform customer experience Efficiency / standardization / transformation: - Make use of NIQ Connect platform in presentations and ensure the incorporation of guided analytics as a fundamental part of analytics promoting self-service in clients. - Mapping of all deliverables committed to with the customer - Achieving transparency in responses, commitments and constant communication (used as a negotiation and service management tool) - Fulfilment of the service model agreed with the client (service mix). Promote self service to customers - Promote the use and application of NIQ Discover (data pull, reporting, business issues that can be solved by guided analytics) - Promote the use of NIQ Tools and systems for quality issues, special customer requirements and information available in the knowledge NielsenIQ - Plan trainings with clients to ensure the above-mentioned points Self-development: - Comply with the internal training and certification process defined by the company (onboarding and NielsenIQ academy). - Incorporation of the service code and golden rules in the day-to-day business. About you At Nielsen IQ you will experience a dynamic, open, and solution-oriented international environment, where we support your development through a trust-based feedback culture and diverse training possibilities. As part of our culture, our promise to you is that at Nielsen IQ you can: Be Yourself, Make a Difference & Grow with Us. Qualifications * Graduates preferably with background in Statistics (Masters Degree preferrable) * Fast learner, curious and interested in exploring data * Numeric and logical thinking. * Excellent analytical skills * Good communication and presentation skills * An ability to work independently and in a team * Fluent in spoken and written English * Competent in Microsoft Office (Excel, PowerPoint, Word, etc) ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Senior Analyst, Industry Insights Retailers at NielsenIQ. Skills: Data analysis, Machine learning, Business intelligence. Develop and maintain data models. 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Communicate recommendations", "problemSolvingSkills" : "Data analysis; Statistical analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics or related field, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI, Looker)", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. About Platform Distribution & Partnerships: Platform Distribution and Partnerships is a division of NBCUniversal's media group responsible for the distribution and monetization of the company’s multi-billion-dollar linear and streaming services portfolio to pay-tv providers, NBC broadcast affiliates, consumer technology platforms and devices, and consumer brands. A key revenue-generator, the division is comprised of content distribution, affiliate relations and strategic partnerships across NBC, Peacock, Bravo, Telemundo and various FAST channels This is a unique and outstanding opportunity that offers exposure to all aspects of the NBC Network. The Affiliate Relations Division liaises between the NBC Network/Peacock and the 200+ NBC Affiliate Local Stations around the US. This includes working with Entertainment, Sports, News and Peacock. The Sr. Manager will lead the insights and analytics function for the division, focusing on the evolution of consumer viewing habits across linear and streaming platforms. The efforts will inform NBC’s broadcast distribution strategy across partners and platforms. The ideal candidate is a self-starter that can leverage a wide range of data tools to support high-visibility projects. Responsibilities * Responsible for supporting all ratings/data requests (recurring and ad-hoc) for Affiliate Relations team and larger Platform Distribution & Partnerships organization * Leverage data sources to develop internal presentations and client sales materials for critical affiliate deals * Develop frameworks for evaluating viewership of NBC/competitor content across platforms (Pay-TV, over-the-air, FAST) to shape competitive positioning * Work with leadership, communications, PR and other teams to support the development of materials for clients and industry platforms * Represent Affiliate Relations/Broadcast perspective when working on initiatives with vendors (i.e. Nielsen) and broader Decision Sciences organization * Work across NBCU departments to manage platforms and databases housing key station/market information such as ratings and clearances * Support Affiliate Reps in managing daily affiliate station relationships, with a focus on driving operational consistency ## Qualifications Qualifications * 6+ years of experience in insights, strategy, consulting or a related function * 3+ years of experience in measurement, analytics or insights at a media company (station, network, data platform) * Expertise in Media research platforms such as Nielsen, comScore, SNL Kagan, Adobe, Antenna * Expert Excel skills and experience compiling, transforming, and modeling stories using large datasets * Experience crafting compelling PowerPoint presentations that tell meaningful stories with data * Familiarity working with visualization tools (ex. Tableau) * Superior organizational and administrative skills with the ability to multi-task and prioritize work required * Excellent verbal and written communication skills with all levels both internal and external Additional Requirements: * Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. * Sr. Manager Salary range: $120,000 - $145,000 (Bonus Eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Manager, Distribution Insights and Analytics at NBCUniversal. Skills: Data analytics, Machine learning, Business intelligence, Data engineering. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-15T14:25:16.000", "createdAt" : "2026-06-16T00:14:42.954", "lastUpdated" : "2026-06-16T09:18:42.965", "ingestTimestamp" : "2026-06-16T00:14:42.954", "mongoId" : "6a306afff292fd229cfceb63", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Statistical modeling", "A/B testing", "Causal inference", "Data analytics", "Data modeling", "Statistical analysis", "Quantitative analysis", "Data science", "Analytics engineering", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", 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"0d7b98f3cf4ba4103012106b5097798c477c356e660b0ff25a3656601e1f0034", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/1a27ef19-4c6f-48ca-86a3-ba515ee8f7ce/apply", "externalId" : "1a27ef19-4c6f-48ca-86a3-ba515ee8f7ce", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Product strategy", "Roadmap development", "Data modeling", "Reporting frameworks", "AI technologies", "Conversational analytics", "Proactive recommendations", "Intelligent workflows", "Data pipelines", "Aggregation strategies", "Data quality", "Scalability considerations", "Product-market fit", "Cross-functional leadership" ], "hardSkillsList" : [ "Analytics", "Reporting", "Business intelligence", "Data products", "Data models", "Instrumentation strategies", "Key metrics", "Reporting frameworks", "Data pipelines", "Aggregation strategies", "Data quality", "Scalability", "AI technologies", "Conversational analytics", "Proactive recommendations", "Intelligent workflows", "Audit capabilities", "Governance capabilities" ], "hardSkills" : [ { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Data products", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Instrumentation strategies", "level" : "intermediate" }, { "name" : "Key metrics", "level" : "intermediate" }, { "name" : "Reporting frameworks", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Aggregation strategies", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "AI technologies", "level" : "intermediate" }, { "name" : "Conversational analytics", "level" : "intermediate" }, { "name" : "Proactive recommendations", "level" : "intermediate" }, { "name" : "Intelligent workflows", "level" : "intermediate" }, { "name" : "Audit capabilities", "level" : "intermediate" }, { "name" : "Governance capabilities", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Roadmap development, Analytics, Reporting, Data products, AI-powered insights", "majorSkillsList" : [ "Product strategy", "Roadmap development", "Analytics", "Reporting", "Data products", "AI-powered insights" ], "coreResponsibilities" : "Define product strategy, Execute product strategy, Define product roadmap, Execute product roadmap, Define product vision, Ensure alignment business objectives, Ensure alignment customer needs, Own end-to-end development analytics, Own end-to-end development reporting, Develop foundational data models, Develop customer-facing dashboards, Develop customer-facing reports, Develop audit logs, Develop APIs, Partner with engineering teams, Partner with data teams, Establish scalable data foundations, Establish meaningful usage metrics, Establish reporting frameworks, Support customer growth, Support customer retention, Lead evolution enterprise-grade audit, Lead evolution governance capabilities, Ensure usability audit capabilities, Ensure scalability audit capabilities, Ensure compliance readiness audit, Drive development AI-powered insights, Develop conversational analytics, Develop proactive recommendations, Develop intelligent workflows, Collaborate with Sales teams, Collaborate with Customer Success teams, Transform product data, Create compelling customer value narratives, Support renewals, Support account expansion, Engage directly with enterprise administrators, Engage directly with IT leaders, Engage directly with security stakeholders, Validate priorities, Ensure product-market fit, Work cross-functionally with adjacent teams, Create seamless experiences administration, Create seamless experiences identity management, Create seamless experiences security, Create seamless experiences governance, Translate complex business challenges, Translate ambiguous business challenges, Create intuitive product solutions, Create actionable product solutions", "teamCollaboration" : "Cross-functional teams; Engineering teams; Data teams; Sales teams; Customer Success teams; Adjacent product teams; Enterprise administrators; IT leaders; Security stakeholders", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Customer Insights; Data products; Analytics; Reporting; Business intelligence; Data models; Data pipelines; AI-native analytics; Insight-driven experiences; Enterprise administration; Governance; Identity management; Security; Compliance; Audit", "domainList" : [ "customer-insights", "data-products", "analytics", "reporting", "business-intelligence", "data-models", "data-pipelines", "ai-native-analytics", "insight-driven-experiences", "enterprise-administration", "governance", "identity-management", "security", "compliance", "audit" ], "domainSpecificKnowledge" : [ "Customer Insights", "Data products", "Analytics", "Reporting", "Business intelligence", "Data models", "Data pipelines", "AI-native analytics", "Insight-driven experiences", "Enterprise administration", "Governance", "Identity management", "Security", "Compliance", "Audit" ], "communicationSkills" : "Stakeholder management; Cross-functional leadership", "innovationCreativity" : "AI-powered insights experiences", "problemSolvingSkills" : "Analytical thinking; Problem-solving abilities; Translate complex challenges; Create actionable solutions", "outcomesObjectives" : "Support customer growth; Support customer retention; Support renewals; Support account expansion; Ensure product-market fit; Deliver measurable outcomes", "qualificationsBasic" : "4+ years product management experience, 2+ years analytics experience, 2+ years reporting experience, 2+ years business intelligence experience, 2+ years data-driven products experience, Define data models experience, Define instrumentation strategies experience, Define key metrics experience, Define reporting frameworks experience, Collaborate with engineering teams, Collaborate with data teams, Understand AI technologies, Convert complex business problems, Deliver measurable outcomes, Partner with customer-facing teams, Support customer success initiatives, Support customer retention initiatives, Support revenue growth initiatives, Analytical thinking, Problem-solving abilities, Comfort in evolving environments, Comfort in ambiguous environments", "qualificationsPreferred" : "Experience building enterprise administration products, Experience building governance products, Experience building identity and access management products, Experience building security products, Experience building compliance products, Experience building audit-related products, Background in business intelligence platforms, Background in analytics tools, Background in data-centric software products, Experience designing customer-facing APIs, Experience delivering customer-facing APIs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and execute the product strategy, roadmap, and vision for the Customer Insights domain, ensuring alignment between business objectives and customer needs. Own the end-to-end development of analytics and reporting capabilities, from foundational data models to customer-facing dashboards, reports, audit logs, and APIs. Partner with engineering and data teams to establish scalable data foundations, meaningful usage metrics, and reporting frameworks that support customer growth and retention. Lead the evolution of enterprise-grade audit and governance capabilities, ensuring usability, scalability, and compliance readiness. Drive the development of AI-powered insights experiences, including conversational analytics, proactive recommendations, and intelligent workflows. Collaborate with Sales and Customer Success teams to transform product data into compelling customer value narratives that support renewals and account expansion. Engage directly with enterprise administrators, IT leaders, and security stakeholders to validate priorities and ensure product-market fit. Work cross-functionally with adjacent product teams to create seamless experiences across administration, identity management, security, and governance domains. Translate complex and ambiguous business challenges into intuitive, actionable product solutions. Requirements 4+ years of product management experience, including at least 2 years focused on analytics, reporting, business intelligence, or data-driven products. Strong expertise in data products, with hands-on experience defining data models, instrumentation strategies, key metrics, and reporting frameworks. Ability to collaborate effectively with engineering and data teams on technical topics such as data pipelines, aggregation strategies, data quality, and scalability considerations. Demonstrated understanding of AI technologies and a strong perspective on the future of AI-native analytics and insight-driven experiences. Proven track record of converting complex business problems into successful product solutions that deliver measurable outcomes. Experience partnering with customer-facing teams to support customer success, retention, and revenue growth initiatives. Excellent communication, stakeholder management, and cross-functional leadership skills. Strong analytical thinking, problem-solving abilities, and comfort working in evolving and ambiguous environments. Preferred Qualifications Experience building enterprise administration, governance, identity and access management, security, compliance, or audit-related products. Background in business intelligence platforms, analytics tools, or data-centric software products. Experience designing and delivering customer-facing APIs for analytics, reporting, or data access use cases. Benefits Competitive salary package with a target compensation range of $160,000–$215,000 CAD equivalent, based on experience, location, and qualifications. Performance-based bonus opportunities. Comprehensive health and wellness benefits. Fully remote work environment with flexibility and autonomy. Opportunity to work on innovative AI-powered and data-driven products at enterprise scale. High visibility and ownership within a strategic product area. Collaborative, cross-functional, and mission-driven work culture. Career growth opportunities within a rapidly evolving product organization. Inclusive workplace committed to equal opportunity and providing reasonable accommodations throughout the hiring process and employment lifecycle. ## 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" : "Senior Product Manager, Customer Insights. Skills: Product strategy, Roadmap development, Analytics, Reporting, Data products, AI-powered insights. Define product strategy. 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Stakeholders", "domainKnowledge" : "Data warehousing; Cloud data stacks; ML frameworks; BI platforms; Statistical modelling", "domainList" : [ "data-warehousing", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-modelling" ], "domainSpecificKnowledge" : [ "Data warehousing", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical modelling" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience in analytics or data science, Proficiency in SQL, Experience with Python or R, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree in a quantitative field, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with BI platforms (Tableau, Power BI, Looker)", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. About Platform Distribution & Partnerships: Platform Distribution and Partnerships is a division of NBCUniversal's media group responsible for the distribution and monetization of the company’s multi-billion-dollar linear and streaming services portfolio to pay-tv providers, NBC broadcast affiliates, consumer technology platforms and devices, and consumer brands. A key revenue-generator, the division is comprised of content distribution, affiliate relations and strategic partnerships across NBC, Peacock, Bravo, Telemundo and various FAST channels This is a unique and outstanding opportunity that offers exposure to all aspects of the NBC Network. The Affiliate Relations Division liaises between the NBC Network/Peacock and the 200+ NBC Affiliate Local Stations around the US. This includes working with Entertainment, Sports, News and Peacock. The Sr. Manager will lead the insights and analytics function for the division, focusing on the evolution of consumer viewing habits across linear and streaming platforms. The efforts will inform NBC’s broadcast distribution strategy across partners and platforms. The ideal candidate is a self-starter that can leverage a wide range of data tools to support high-visibility projects. Responsibilities * Responsible for supporting all ratings/data requests (recurring and ad-hoc) for Affiliate Relations team and larger Platform Distribution & Partnerships organization * Leverage data sources to develop internal presentations and client sales materials for critical affiliate deals * Develop frameworks for evaluating viewership of NBC/competitor content across platforms (Pay-TV, over-the-air, FAST) to shape competitive positioning * Work with leadership, communications, PR and other teams to support the development of materials for clients and industry platforms * Represent Affiliate Relations/Broadcast perspective when working on initiatives with vendors (i.e. Nielsen) and broader Decision Sciences organization * Work across NBCU departments to manage platforms and databases housing key station/market information such as ratings and clearances * Support Affiliate Reps in managing daily affiliate station relationships, with a focus on driving operational consistency ## Qualifications Qualifications * 6+ years of experience in insights, strategy, consulting or a related function * 3+ years of experience in measurement, analytics or insights at a media company (station, network, data platform) * Expertise in Media research platforms such as Nielsen, comScore, SNL Kagan, Adobe, Antenna * Expert Excel skills and experience compiling, transforming, and modeling stories using large datasets * Experience crafting compelling PowerPoint presentations that tell meaningful stories with data * Familiarity working with visualization tools (ex. Tableau) * Superior organizational and administrative skills with the ability to multi-task and prioritize work required * Excellent verbal and written communication skills with all levels both internal and external Additional Requirements: * Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. * Sr. Manager Salary range: $120,000 - $145,000 (Bonus Eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Manager, Distribution Insights and Analytics at NBCUniversal. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. 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We strive to offer a consistent customer experience across all our markets by harmonizing our ways of working, focusing on engagement and driving analytics excellence. We give our customers an enjoyable, easy, effective service featuring a modernized customer experience. Customer Success is instrumental to realize the NielsenIQ vision to be a leading global information services company with strong, market leading growth enabled by new, innovative product offerings and modern technology that creates substantial value for our customers, retailers and employees. You’ll be working within the Analytics & Insights team, responsible for delighting clients around South Africa through delivering retail measurement insights and analysis for Retailer clients. Responsibilities Service Management: - Ensure the delivery of value analysis in a timely manner, aligned with strategic business priorities defined in the Account Plan with clients in South Africa - Support the generation of thought leadership materials. - Support account team building materials to new conversations with prospect clients -Providing performance overview analysis and business issue analysis to Retailer clients -Developing deep knowledge of NielsenIQ RMS solutions and delivering value for clients - Working closely with the Consulting Lead, Operations Team and Retailer Vertical to transform customer experience Efficiency / standardization / transformation: - Make use of NIQ Connect platform in presentations and ensure the incorporation of guided analytics as a fundamental part of analytics promoting self-service in clients. - Mapping of all deliverables committed to with the customer - Achieving transparency in responses, commitments and constant communication (used as a negotiation and service management tool) - Fulfilment of the service model agreed with the client (service mix). Promote self service to customers - Promote the use and application of NIQ Discover (data pull, reporting, business issues that can be solved by guided analytics) - Promote the use of NIQ Tools and systems for quality issues, special customer requirements and information available in the knowledge NielsenIQ - Plan trainings with clients to ensure the above-mentioned points Self-development: - Comply with the internal training and certification process defined by the company (onboarding and NielsenIQ academy). - Incorporation of the service code and golden rules in the day-to-day business. About you At Nielsen IQ you will experience a dynamic, open, and solution-oriented international environment, where we support your development through a trust-based feedback culture and diverse training possibilities. As part of our culture, our promise to you is that at Nielsen IQ you can: Be Yourself, Make a Difference & Grow with Us. Qualifications * Graduates preferably with background in Statistics (Masters Degree preferrable) * Fast learner, curious and interested in exploring data * Numeric and logical thinking. * Excellent analytical skills * Good communication and presentation skills * An ability to work independently and in a team * Fluent in spoken and written English * Competent in Microsoft Office (Excel, PowerPoint, Word, etc) ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Senior Analyst, Industry Insights Retailers at NielsenIQ. Skills: Data analysis, Machine learning, Business intelligence. Develop and implement advanced analytical models. Design and build data pipelines", "postedDate" : "2026-06-15T10:37:36.000", "createdAt" : "2026-06-15T23:58:53.942", "lastUpdated" : "2026-06-16T10:20:24.142", "ingestTimestamp" : "2026-06-15T23:58:53.942", "mongoId" : "6a305dbff292fd229cf69ed0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference", "Data analysis", "Machine learning", "Business intelligence", "Quantitative analysis", "Data engineering", "Data science", "Retail industry insights", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 435.33734, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3075c5f292fd229c013564", "title" : "Software Engineer - Customer Insights", "company" : "Pantheon Systems, Inc", "industry" : "Technology", "salary" : { "min" : 103000.0, "max" : 129000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T11:26:50.191", "fingerprint" : "19157624d10a98ed4b1b9b172e121868012fcbe4130660a9f3eb0319a8a2a186", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://pantheon.io/about/careers/detail?gh_jid=8008258", "externalId" : "8008258", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Pantheon Pantheon WebOps Platform powers the open web, running more than 300,000 sites in the cloud for customers including Google, Princeton, Salesloft and Doctors Without Borders. Every day, thousands of developers and marketers create, iterate, and scale WordPress and Drupal sites to reach billions of people globally. Pantheon’s multitenant, container-based platform enables organizations to manage all of their websites from a single dashboard. Organizations including Clorox and the United Nations drive results through accelerated development and real-time publishing using Pantheon’s collaborative workflows. The Role The Pantheon Customer Insights Team is looking for a Software Engineer to build the next generation of customer-facing observability features. In this role, you will create backend systems that transform raw observability data from platforms like New Relic, Grafana, and Cloudflare into clear, actionable insights surfaced directly in our product. You'll work on Portfolio Insights, OpenTelemetry exploration, and product analytics capabilities. This is product engineering work; you're building features customers interact with daily, not internal tooling. You will work primarily in Go, with Python and SQL for data work. What you Need to Succeed Comfort with ambiguity; you'll be defining what \"meaningful insights\" means to customers. Pragmatic approach to balancing performance, cost, and delivery speed. Care about what users see, not just APIs. Good collaboration skills to work with product, design, and cross-functional teams. Desire to learn observability concepts on the job (we have domain experts on the team to teach you). What you Bring to the Table 3+ years of experience building production services and features. Go experience is a plus (or similar systems language). Comfortable working in React and TypeScript and GraphQL. Comfort with BigQuery/SQL and with Python for data work. Experience with observability platforms (New Relic, Grafana, Datadog) Experience with RESTful APIs and distributed systems. Familiarity with GCP infrastructure primitives, terraform, and container management solutions like kubernetes What We Offer We have all the usual perks and benefits but what we can really offer you is a fantastic work environment powered by an amazing team. Industry competitive compensation and equity plan Paid Time Off (PTO), Paid Sick Leave (PSL) and 12 Paid Company Holidays Full medical coverage (Extended health care, dental, vision) Top-of-line equipment In-office workspace (Vancouver, BC Canada) Monthly allowance for wellness, reading and access to LinkedIn Learning for continued development Events and activities both team-based and company wide that inspire, educate and cultivate Pantheon is an equal opportunity employer and we welcome applications from all backgrounds regardless of race, color, religion, sex, national origin, ancestry, age, marital status, sexual orientation, gender identity, veteran status, disability, or any other classification protected by law. Pantheon complies with federal and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you need a reasonable accommodation due to a disability for any part of the interview process, please contact talent@pantheon.io. Pursuant to local and federal regulations, Pantheon will consider qualified applicants with arrest and conviction records for employment. To review the Employee and Applicant's Privacy Policy, click here. Visa Sponsorship is not available at this time. The Canadian base salary range for this position is 103,000- 129,000 CAD per year. Our salary ranges are determined by role, level, and location. At Pantheon, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. #LI-KM1 #LI-remote", "summaryDescription" : "Software Engineer - Customer Insights at Pantheon Systems, Inc", "postedDate" : "2026-06-16T01:19:19.388", "createdAt" : "2026-06-16T01:19:19.388", "lastUpdated" : "2026-06-16T11:26:50.191", "ingestTimestamp" : "2026-06-16T01:19:19.388", "mongoId" : "6a3075c5f292fd229c013564", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 434.3708, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a3075c5f292fd229c013566", "title" : "Software Engineer, Customer Insights", "company" : "Pantheon Systems, Inc", "industry" : "SaaS", "salary" : { "min" : 116640.0, "max" : 145800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T13:27:53.744", "fingerprint" : "f4a8f719538a36fe57f0ba3367ed03ca78b403947c3149dae93677fb8e623bb4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://pantheon.io/about/careers/detail?gh_jid=8008383", "externalId" : "8008383", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, Java, Go, JavaScript, React, Node.js, SQL, NoSQL, AWS, GCP, Azure, Kubernetes, Docker, Terraform, CI/CD, REST, GraphQL", "professionalSkills" : [ "System design", "API design", "Data modeling" ], "hardSkillsList" : [ "Software development", "Cloud computing", "DevOps practices", "Data structures", "Algorithms" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "DevOps practices", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" } ], "majorSkills" : "Backend development, Cloud infrastructure, DevOps", "majorSkillsList" : [ "Backend development", "Cloud infrastructure", "DevOps" ], "coreResponsibilities" : "Design scalable backend services, Develop and maintain cloud infrastructure, Implement CI/CD pipelines, Write clean, maintainable code, Collaborate with cross-functional teams, Troubleshoot and resolve production issues, Participate in code reviews, Contribute to system architecture discussions", "teamCollaboration" : "Cross-functional teams; Agile methodologies; Code reviews", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "SaaS architecture; Customer insights; Data pipelines", "domainList" : [ "saas-architecture", "customer-insights", "data-pipelines" ], "domainSpecificKnowledge" : [ "SaaS architecture", "Customer insights", "Data pipelines" ], "toolProficiency" : [ "Git", "JIRA", "Datadog", "Prometheus", "Grafana" ], "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "3+ years experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Pantheon Pantheon brings together exceptional builders who take ownership, drive meaningful impact, and shape what's next for the web. We power more than 300,000 websites globally for organizations including Google, Princeton, Salesloft, Clorox, and the United Nations. Every day, thousands of developers and marketers use our WebOps platform to build, iterate, and scale WordPress, Drupal, and Next.js sites that reach billions of people worldwide. As an employer, we operate with the same philosophy that drives our product: foundation and freedom. Pantheon is a vibrant, remote-forward team of experts who care deeply about their craft and results. Here, you take ownership of work that matters, contribute alongside exceptional people, and see the impact you create. The Role The Pantheon Customer Insights Team is looking for a Software Engineer to build the next generation of customer-facing observability features. In this role, you will create backend systems that transform raw observability data from platforms like New Relic, Grafana, and Cloudflare into clear, actionable insights surfaced directly in our product. You'll work on Portfolio Insights, OpenTelemetry exploration, and product analytics capabilities. This is product engineering work; you're building features customers interact with daily, not internal tooling. You will work primarily in Go, with Python and SQL for data work. What you Need to Succeed Comfort with ambiguity; you'll be defining what \"meaningful insights\" means to customers. Pragmatic approach to balancing performance, cost, and delivery speed. Care about what users see, not just APIs. Good collaboration skills to work with product, design, and cross-functional teams. Desire to learn observability concepts on the job (we have domain experts on the team to teach you). What you Bring to the Table 3+ years of experience building production services and features. Go experience is a plus (or similar systems language). Comfortable working in React and TypeScript and GraphQL. Comfort with BigQuery/SQL and with Python for data work. Experience with observability platforms (New Relic, Grafana, Datadog) Experience with RESTful APIs and distributed systems. What We Offer We have all the usual perks and benefits but what we can really offer you is a fantastic work environment powered by an amazing team. Industry competitive compensation and equity plan Flexible time off, sick days, and 13 paid holidays Comprehensive medical insurance including Health, Dental and Vision Paid parental leave (plus fertility, adoption and other family planning benefits) In-office workspace (San Francisco & Chicago) Monthly allowance for wellness, reading and access to LinkedIn Learning for continued development Events and activities both team-based and company wide that inspire, educate and cultivate Pantheon is an equal opportunity employer and we welcome applications from all backgrounds regardless of race, color, religion, sex, national origin, ancestry, age, marital status, sexual orientation, gender identity, veteran status, disability, or any other classification protected by law. Pantheon complies with federal and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you need a reasonable accommodation due to a disability for any part of the interview process, please contact talent@pantheon.io. Pursuant to local and federal regulations, Pantheon will consider qualified applicants with arrest and conviction records for employment. After an offer is made and accepted, E-verify will be utilized to establish your identity and employment eligibility as required by the U. S. Department of Homeland Security. To review the Employee and Applicant's Privacy Policy, click here. The US base salary range for this position in the United States is $116,640 - $145,800 USD per year. Our salary ranges are determined by role, level, and location. At Pantheon, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. Visa Sponsorship is not available at this time. #LI-KM1 #LI-remote", "summaryDescription" : "Software Engineer, Customer Insights at Pantheon Systems, Inc. Skills: Backend development, Cloud infrastructure, DevOps. Design scalable backend services. Develop and maintain cloud infrastructure", "postedDate" : "2026-06-16T01:16:53.432", "createdAt" : "2026-06-16T01:16:53.432", "lastUpdated" : "2026-06-16T13:27:53.744", "ingestTimestamp" : "2026-06-16T01:16:53.432", "mongoId" : "6a3075c5f292fd229c013566", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 116640, "salaryAnnualMax" : 145800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "Cloud computing", "DevOps practices", "Data structures", "Algorithms", "Backend development", "Cloud infrastructure", "DevOps", "System design", "API design", "Data modeling", "Agile", "Scrum", "SaaS architecture", "Customer insights", "Data pipelines", "Git", "JIRA", "Datadog", "Prometheus", "Grafana" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 432.67023, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3060ccf292fd229cf93a12", "title" : "[RTC] Intern AI-Driven Software Engineer", "company" : "Software Mind", "industry" : "Information Technology And Services", "salary" : { "min" : 48000.0, "max" : 72000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an entry-level AI-Driven Software Engineer intern in Krakow, Poland, adjusted for the technology industry and internship role." }, "location" : "Kraków, Lesser Poland Voivodeship, Poland", "locations" : [ "Kraków", "Lesser Poland Voivodeship", "Poland" ], "timestamp" : "2026-06-16T10:12:45.907", "fingerprint" : "58987ed2701dfef1c1e247ca836c3d3c9ddb26a849ffd487449e0cdfcbf9dd0b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SoftwareMind/744000132214269--rtc-intern-ai-driven-software-engineer", "externalId" : "744000132214269", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kraków", "state" : "Lesser Poland Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.0469432,19.9971534" } ], "locationText" : "Kraków, Lesser Poland Voivodeship, Poland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "C#, NET, ASP.NET Core, Web API, Entity Framework", "professionalSkills" : [ "System integrations", "Code generation", "Code refactoring", "Technical research", "Bug analysis", "Log analysis" ], "hardSkillsList" : [ "Backend development", "API maintenance", "Unit testing", "AI verification" ], "softSkillsList" : [ "Independence", "Grit", "Guts", "Respect" ], "hardSkills" : [ { "name" : "Backend development", "level" : "intermediate" }, { "name" : "API maintenance", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" }, { "name" : "AI verification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independence" }, { "name" : "Grit" }, { "name" : "Guts" }, { "name" : "Respect" } ], "majorSkills" : "AI-Driven Software Engineering, NET Development, C#, API Development", "majorSkillsList" : [ "AI-Driven Software Engineering", "NET Development", "C#", "API Development" ], "coreResponsibilities" : "Develop backend tasks, Maintain APIs, Assist with system integrations, Write clean code, Write testable code, Create unit tests, Utilize AI tools consciously, Participate in code reviews, Participate in workshops, Participate in demos, Analyze bugs, Analyze logs, Collaborate with developers, Verify AI-generated solutions", "teamCollaboration" : "Agile international team; Experienced developers; Experienced testers; Cross-functional teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Travel industry; AI limitations; Data security; Privacy", "domainList" : [ "travel-industry", "ai-limitations", "data-security", "privacy" ], "domainSpecificKnowledge" : [ "Travel industry", "AI limitations", "Data security", "Privacy" ], "toolProficiency" : [ "Git", "ChatGPT", "Copilot", "Cursor", "Claude", "Gemini" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Continuous self-development", "innovationCreativity" : "Creativity", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "Solid C# basics, Practical knowledge of C#, Hands-on experience, Basic understanding of backend development, Basic understanding of Web API, Basic understanding of Entity Framework, Basic understanding of databases, Working knowledge of Git, Ability to read code, Ability to improve code, Practical skills in leveraging AI tools, Good understanding of AI limitations, English proficiency at B2 level", "qualificationsPreferred" : "Growth-oriented intern, Junior .NET developer, Active GitHub profile, Portfolio of post-hours applications, Basic knowledge of SQL, Database optimization, First experience writing unit tests, Interest in work automation, Interest in productivity tools, Mindset focused on continuous self-development, Mindset focused on problem-solving", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment. Project – the aim you’ll have You will join an agile, international team of experienced developers and testers (Poland/UK) working on a strategic transformation of the IT ecosystem for a leading travel industry company. The main goal is designing and building modern, scalable solutions from scratch to replace outdated systems using best engineering practices. Position – how you’ll contribute We are looking for a growth-oriented intern or junior .NET developer who already has solid C# basics and genuinely wants to learn. We welcome a proactive mindset, where you treat AI as an everyday coding buddy that helps you debug, research, and learn faster – not as a \"magic button\" that does the thinking for you. If you are ready to take ownership of your tasks, want to understand how your code works under the hood, and are excited to solve real business puzzles in a relaxed, no-nonsense engineering culture, you’ll fit right in. Your daily tasks will include: * Developing backend tasks in .NET, maintaining APIs, and assisting with system integrations * Writing clean, testable code and creating unit tests with mentor support * Utilizing AI tools consciously for code generation, refactoring, debugging, and technical research * Participating in code reviews, internal workshops, technical demos, and analyzing bugs/logs * Collaborating closely with experienced developers and verifying AI-generated solutions before implementation ## Qualifications Expectations – the experience you need * Practical knowledge of C# and willingness to grow within the .NET / ASP.NET Core ecosystem * Hands-on experience demonstrated through personal projects, a GitHub profile, or commercial exposure * Basic understanding of backend development, Web API, Entity Framework, and databases * Working knowledge of Git and the ability to read and improve existing code * Practical skills in leveraging AI tools (e.g., ChatGPT, Copilot, Cursor, Claude, Gemini) for debugging, research, and automation * Good understanding of AI limitations, including hallucinations, data security, privacy, and the necessity of verification * English proficiency at a B2 level or higher * Strong communication skills, independence, curiosity, and readiness to receive constructive feedback Additional skills – the edge you have * Active GitHub profile or a portfolio of post-hours applications * Basic knowledge of SQL and database optimization * First experience with writing unit tests * Strong interest in work automation and productivity tools * Mindset focused on continuous self-development and problem-solving What does the recruitment process look like? During the interview, we will want to see how you think, solve problems, and use AI. You can expect a technical conversation and practical questions about .NET, C#, APIs, and AI tools. We will look not only at the result, but also at your way of working: * how you analyse a problem * how you formulate questions for AI * how you verify answers * what you accept * what you reject * how you explain your technical decisions", "summaryDescription" : "[RTC] Intern AI-Driven Software Engineer at Software Mind. Skills: AI-Driven Software Engineering, NET Development, C#, API Development. Develop backend tasks. Maintain APIs", "postedDate" : "2026-06-15T14:14:11.000", "createdAt" : "2026-06-16T00:02:53.637", "lastUpdated" : "2026-06-16T10:12:45.907", "ingestTimestamp" : "2026-06-16T00:02:53.637", "mongoId" : "6a3060ccf292fd229cf93a12", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Backend development", "API maintenance", "Unit testing", "AI verification", "Independence", "Grit", "Guts", "Respect", "AI-Driven Software Engineering", "NET Development", "C#", "API Development", "System integrations", "Code generation", "Code refactoring", "Technical research", "Bug analysis", "Log analysis", "Agile", "Travel industry", "AI limitations", "Data security", "Privacy", "Git", "ChatGPT", "Copilot", "Cursor", "Claude", "Gemini" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 430.8846, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb0ea74d8ee00a09db7cf", "title" : "Senior Sales Insights Analyst", "company" : "Vertice", "industry" : "Business Operations", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Sales Insights Analyst in New York, adjusted for the SaaS industry and company size." }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-15T05:23:02.241", "fingerprint" : "27e15da37e0e29ffb9d9c43dd6df268c976ee5cd8e18aed3befa5f8a16214c31", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/vertice/5c895fe9-3932-4aa1-a9c3-65d6a988755f/application", "externalId" : "5c895fe9-3932-4aa1-a9c3-65d6a988755f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 4, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Business analytics", "Process improvements", "Data analysis", "Financial impact analysis" ], "hardSkillsList" : [ "Data extraction", "Data analysis", "Dashboard design" ], "hardSkills" : [ { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Dashboard design", "level" : "intermediate" } ], "majorSkills" : "Sales insights, Data analysis, Executive presentations", "majorSkillsList" : [ "Sales insights", "Data analysis", "Executive presentations" ], "coreResponsibilities" : "Partner with sales organization, Drive revenue growth, Demonstrate financial impact, Analyze prospect SaaS stacks, Identify cost-saving opportunities, Present opportunities to executives, Build dynamic dashboards, Build automations", "teamCollaboration" : "Work with Sales team; Cross-functional work", "domainKnowledge" : "SaaS stacks; Technology spend management", "domainList" : [ "saas-stacks", "technology-spend-management" ], "domainSpecificKnowledge" : [ "SaaS stacks", "Technology spend management" ], "toolProficiency" : [ "Internal tooling" ], "communicationSkills" : "Presenting insights; Presenting findings", "problemSolvingSkills" : "Data analysis", "specialRequirements" : "2 days a week in office", "qualificationsBasic" : "2-4 years experience, Extracting and analyzing data, Presenting insights to others, Delivering results cross-functionally", "qualificationsPreferred" : "Experience in fast-paced environment, Translating complex data analysis, Presenting findings to executives, Python or SQL experience, Designing dashboards experience, Work ethic, Humility, kindness and respect", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Vertice was launched in 2022 to transform how companies manage their technology spend. Our agentic workflows, AI insights and expert buyers empower companies to buy smarter and scale faster, with Finance and Procurement leaders in over 30 countries worldwide trusting Vertice to manage their software purchases. In the software category alone, we have managed over $10bn in spend and have a track record of delivering 20% savings and halving procurement cycles. Headquartered in London with offices across the world including New York, Brno, Sydney and Johannesburg, we’re shaping the future of procurement on a global scale. And we’re just getting started. Founded by serial entrepreneurs Roy Tuvey and Eldar Tuvey, who have a track record of building two category-defining technology companies to exit, Vertice has seen a remarkable 13X revenue growth in two years. This trajectory earned us the #2 spot on the Sunday Times' 2026 Tech 100 list, following our recognition as 2025’s fastest-growing startup in the UK by the FT’s Sifted, and as fourth in Europe. Following our Series C, we have secured $100M+ in funding from leading investors including Bessemer Venture Partners, 83North and Lakestar, and are expanding our reach across our team. Do you want to make an outsized impact, work with exceptional people, and be part of a highly motivated team? Come and join our mission to build the Intelligent Procurement Platform. Your Role: As a Commercial Analyst at Vertice, you will be a strategic partner to our Sales organization, driving revenue growth by demonstrating the financial impact of our platform to prospective clients. You will own the critical analysis of our prospects' SaaS stacks, identifying and presenting compelling cost-saving opportunities directly to C-level executives at a diverse range of companies, from high-growth startups to established enterprise brands. You'll be reporting to the US Analytics Manager, and working closely with the Sales team from sales acceptance through deal closing activities. You'll also have other data focused responsibilities to provide our teams with the information and insights they need to work effectively, using our internal tooling to build dynamic dashboards and automations. Requirements: - You'll have 2-4 years of experience in a challenging role in consulting, professional services or business analytics - You'll have strong experience extracting and analyzing data in a methodical manner and delivering process improvements to help teams work more efficiently - You'll be comfortable with moderately complex concepts, and be able to talk confidently when presenting insights to others, both internally and externally - You'll have demonstrable success in delivering results working cross-functionally with a flexible, agile, and adaptable approach; used to wearing multiple hats and you won't get easily overwhelmed - 2 days a week in our New York office Things we like to see: - Experience working in a fast-paced environment - Experience translating complex data analysis into clear, compelling narratives and presenting findings to executive-level audiences - Experience with Python or SQL with the ability and experience in designing dashboards - Strong work ethic with a \"get stuff done\" mentality - Humility, kindness and respect in working with others. We're hoping to create a supportive and caring culture of high performing people, and your attitude is just as important as your skillset - Individuals that are eager to start something new; to commit to an ambitious plan and co-create a memorable and meaningful company. Autonomy is a highly valued quality #LI-DNP Final things to note Vertice is an equal opportunities employer, although you must be legally able to work in the specified region of the job. Any personal data you provide will be processed in accordance with Vertice's privacy policy and applicable data protection law. We use AI-assisted tools to help us review and assess applications more efficiently. These tools support our Talent team but do not make hiring decisions autonomously. You have the right to contest any AI-assisted decision, and exercise your data subject rights by contacting us; please follow the instructions in our privacy policy. We like to deal directly with our candidates so no agencies please! If you aren’t sure this job applies to you, feel free to send your CV to careers@vertice.one, and we’ll be happy to take a look and see if you could be a good fit anywhere else in our business!", "summaryDescription" : "Senior Sales Insights Analyst at Vertice. Skills: Sales insights, Data analysis, Executive presentations. Partner with sales organization. Drive revenue growth", "createdAt" : "2026-06-14T04:45:13.228", "lastUpdated" : "2026-06-15T05:23:02.241", "ingestTimestamp" : "2026-06-14T04:45:13.228", "mongoId" : "6a2cb0ea74d8ee00a09db7cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data extraction", "Data analysis", "Dashboard design", "Sales insights", "Executive presentations", "Business analytics", "Process improvements", "Financial impact analysis", "SaaS stacks", "Technology spend management", "Internal tooling" ], "skillCount" : 11, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 430.69156, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308827f292fd229c08fd4d", "title" : "Product & Strategic Insights Lead", "company" : "The Nielsen Company", "industry" : "Broadcast Media", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Product & Strategic Insights position in Bulgaria, adjusted for the media industry and full-time employment." }, "location" : "Remote, Remote, United States", "locations" : [ "Remote", "Remote", "United States" ], "timestamp" : "2026-06-16T10:12:06.767", "fingerprint" : "7ca436afdbe5706b1ec2c6e5366f205f46f8d2c815eca29514db974070f13ae9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/TheNielsenCompany/3743990013631657-product-strategic-insights-lead", "externalId" : "3743990013631657", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "coreResponsibilities" : "Develop product strategy, Define product roadmap, Create user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it's consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. The Nielsen Content & Strategic Insights team is seeking a Product & Strategic Insights lead. This role will be the primary subject matter expert on advertising metrics within the team, tasked with translating complex product data—specifically Nielsen One (N1) Ads & Outcomes and Ad Intel —into actionable narratives that empower our sales teams, marketing goals and client needs. This role also serves as the central insights hub for Nielsen’s top-tier strategic accounts. You will act as the bridge between our complex product capabilities and our clients' specific business objectives, providing dedicated, high-touch support that drives product adoption and incremental revenue. Key Responsibilities * Product Expertise: Serve as the team’s go-to expert on advertising metrics and effectiveness. You will leverage deep knowledge of Nielsen One (N1) Ads & Outcomes and Ad Intel to provide customized product expertise, proof-points and case studies. * Custom Content Creation : Develop high-impact, personalized materials for growth target account meetings, including bespoke pitch decks, quick-hit insights, and deep-dive analyses tailored to unique client business objectives. * Intake & Prioritization Management: Oversee the request intake process for strategic accounts. You will prioritize incoming projects based on revenue impact and capacity, ensuring the Insights Lab remains agile and effective. * Outcome-Led Storytelling: Partner with Product Marketing and sales teams to translate complex data into simple, differentiated narratives. Your goal is to move beyond feature-led storytelling to clearly articulate the business impact of Nielsen solutions. ## Qualifications * Subject Matter Expertise: Proven expertise in advertising metrics and measurement, with fluency in Nielsen One (N1) Ads & Outcomes and Ad Intel, as well as NPower. * Strategic Client Support: Experience in a client-facing or sales-support role. You understand the nuances of high-touch service and how to support strategic accounts effectively. * Analytical Rigor: Ability to synthesize complex quantitative data into clear, compelling stories. You are comfortable producing both quick-turnaround data points and comprehensive deep-dive analyses. * Operational Excellence: Strong organizational skills with the ability to manage competing priorities. You are comfortable with an intake-heavy, fast-paced environment and can build systems to manage capacity. * Collaboration: A natural relationship builder who can work seamlessly across cross-functional teams (Sales, Product, Marketing) to ensure alignment and consistent, high-quality output. #LI-AW1 ## Additional Information Enabling your best to power a better media future. Holistic Rewards: We are committed to an inclusive benefits package that supports our employees and their families. This includes comprehensive health and wellness plans, a 401(k) with a Nielsen company match, and a generous paid time off policy. Depending on the role, additional benefits may include a company-provided vehicle and/or discretionary incentive/bonus eligibility. Compensation Transparency: The posted base salary range is a reasonable estimate that may be adjusted based on the final work location of the selected employee. Individual pay within the range is determined by factors such as experience, training, geography, certifications, and business needs. Beyond base salary, this role may be eligible for bonuses, equity, or other incentives. Nielsen makes hiring decisions without regard to disability status, protected veteran status, or membership in any other protected class. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a [nielsen.com](http://nielsen.com/) domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @[nielsen.com](http://nielsen.com/) address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.", "summaryDescription" : "Product & Strategic Insights Lead at The Nielsen Company. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-15T21:36:26.000", "createdAt" : "2026-06-16T01:44:28.356", "lastUpdated" : "2026-06-16T10:12:06.767", "ingestTimestamp" : "2026-06-16T01:44:28.356", "mongoId" : "6a308827f292fd229c08fd4d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Roadmap planning" ], "skillCount" : 1, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 430.27798, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef984e", "title" : "Data Product Manager", "industry" : "Product", "salary" : { "min" : 60000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Product Manager in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T12:45:12.960", "fingerprint" : "ea267628c0ec7eeee9b11ec65941d7666cd65b54508d71c49e0c4c412009fdf3", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/f070c7a8-165b-4360-a357-5c84d8821834/apply", "externalId" : "f070c7a8-165b-4360-a357-5c84d8821834", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "AI, ML", "professionalSkills" : [ "Data modeling", "Data interpretation", "Business insights", "Data pipelines", "Data structures", "Data quality standards", "Metric definitions", "Lineage tracking", "Methodological guardrails", "Data validation", "Data testing", "Incident management", "Data-driven products" ], "hardSkillsList" : [ "Segmentation", "Cohort analysis", "Cross-dataset reasoning", "Alternative data", "Panel data", "Complex datasets" ], "hardSkills" : [ { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Cohort analysis", "level" : "intermediate" }, { "name" : "Cross-dataset reasoning", "level" : "intermediate" }, { "name" : "Alternative data", "level" : "intermediate" }, { "name" : "Panel data", "level" : "intermediate" }, { "name" : "Complex datasets", "level" : "intermediate" } ], "majorSkills" : "Data products, AI-ready data, Business insights, Data quality", "majorSkillsList" : [ "Data products", "AI-ready data", "Business insights", "Data quality" ], "coreResponsibilities" : "Own transformation of raw datasets, Define how data is modeled, Define how data is interpreted, Define how data is delivered, Design methodologies, Maintain methodologies, Translate complex datasets into insights, Partner with Data Engineering, Ensure robust pipelines, Ensure clear definitions, Ensure well-documented data structures, Define data quality standards, Define metric definitions, Define lineage tracking, Define methodological guardrails, Establish rules for data reasoning, Lead validation processes, Lead testing processes, Lead incident management processes, Collaborate with Product teams, Collaborate with Leadership teams, Identify new use cases, Improve capabilities, Translate customer needs into solutions", "teamCollaboration" : "Cross-functionally between technical teams; With product stakeholders; With business stakeholders; With Data Engineering; With Product teams; With Leadership teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Alternative data; Panel data; Complex datasets; AI/ML products; LLM-based systems", "domainList" : [ "alternative-data", "panel-data", "complex-datasets", "ai-ml-products", "llm-based-systems" ], "domainSpecificKnowledge" : [ "Alternative data", "Panel data", "Complex datasets", "AI/ML products", "LLM-based systems" ], "communicationSkills" : "Simplify complex data methodologies", "documentationSkills" : "Data documentation", "continuousLearning" : "Learning & development reimbursement", "innovationCreativity" : "Entrepreneurial mindset; Builder-oriented mindset", "problemSolvingSkills" : "Methodological nuance; Ambiguity", "outcomesObjectives" : "Ensure accuracy and consistency; Ensure reliability before deployment", "qualificationsBasic" : "3-6+ years of experience, SQL proficiency, Experience owning metric definitions, Experience owning data documentation, Experience owning data quality frameworks, Background working with alternative data, Background working with panel data, Proven ability to work cross-functionally", "qualificationsPreferred" : "Exposure to AI/ML products, Exposure to LLM-based systems, Exposure to evaluation frameworks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own the transformation of raw alternative datasets into structured, scalable, AI-ready data products, defining how data is modeled, interpreted, and delivered to end users. Design and maintain methodologies that translate complex datasets into reliable business insights, including segmentation, cohort analysis, and cross-dataset reasoning. Partner with Data Engineering to ensure robust pipelines, clear definitions, and well-documented data structures that support product scalability. Define and enforce data quality standards, metric definitions, lineage tracking, and methodological guardrails to ensure accuracy and consistency. Establish rules for how the product reasons across datasets, including edge cases, limitations, and acceptable inference boundaries for AI-generated insights. Lead validation, testing, and incident management processes for data changes, ensuring reliability before production deployment. Collaborate with Product and Leadership teams to identify new use cases, improve capabilities, and translate customer needs into scalable data solutions. Requirements: 3–6+ years of experience in data product management, analytics, data science, product analytics, or related data-centric roles. Strong SQL proficiency and solid understanding of data pipelines, schemas, and upstream/downstream dependencies. Experience owning metric definitions, data documentation, or data quality frameworks in production environments. Background working with alternative data, panel data, or similarly complex datasets with methodological nuance and ambiguity. Proven ability to work cross-functionally between technical data teams and product or business stakeholders. Strong communication skills with the ability to simplify complex data methodologies into clear, actionable guidance. Demonstrated ability to build and ship data-driven products or frameworks in fast-moving environments. Comfortable working in ambiguity with an entrepreneurial, builder-oriented mindset. Exposure to AI/ML products, LLM-based systems, or evaluation frameworks is a strong plus. Benefits: Competitive base salary with comprehensive benefits package. Fully remote-friendly role within the United States. Flexible work hours and generous vacation policy. 401(k) retirement plan with company match. Parental leave, wellness budget, and learning & development reimbursement. High-impact, growth-oriented environment where performance drives advancement. Opportunity to work on cutting-edge AI-driven data products shaping the future of analytics. ## 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" : "Data Product Manager. Skills: Data products, AI-ready data, Business insights, Data quality. Own transformation of raw datasets. Define how data is modeled", "postedDate" : "2026-06-15T07:54:15.500", "createdAt" : "2026-06-15T07:54:15.500", "lastUpdated" : "2026-06-16T12:45:12.960", "ingestTimestamp" : "2026-06-16T03:23:15.034", "mongoId" : "6a305118f292fd229cef984e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Segmentation", "Cohort analysis", "Cross-dataset reasoning", "Alternative data", "Panel data", "Complex datasets", "Data products", "AI-ready data", "Business insights", "Data quality", "Data modeling", "Data interpretation", "Data pipelines", "Data structures", "Data quality standards", "Metric definitions", "Lineage tracking", "Methodological guardrails", "Data validation", "Data testing", "Incident management", "Data-driven products", "Roadmap planning", "AI/ML products", "LLM-based systems" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 429.51688, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a0f529b58b93c861e052fca", "title" : "Sr. Manager, Customer Performance & Insights", "company" : "Hyundai Capital America", "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-15T13:57:07.233", "fingerprint" : "71c876584c8bc802443fa6a9717e593495b85bf227c1884721d5d702f910419a", "source" : "taleo", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=116564", "externalId" : "116564", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 8, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Customer experience, financing, leasing, insurance solutions." ], "hardSkillsList" : [ "SQL", "Python" ], "softSkillsList" : [ "leadership" ], "hardSkills" : [ { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" } ], "softSkills" : [ { "name" : "leadership" } ], "majorSkills" : "customer insights, CX analytics, predictive analytics, stakeholder management, leadership", "majorSkillsList" : [ "customer insights, CX analytics, predictive analytics, stakeholder management, leadership" ], "coreResponsibilities" : "Responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. Builds and oversees the full ecosystem of customer feedback to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements.", "teamCollaboration" : "Facilitate cross-functional alignment and embed customer-driven decision-making.", "toolProficiency" : [ "Glassbox, Microsoft Office" ], "communicationSkills" : "executive-level communication; storytelling; executive presentation", "problemSolvingSkills" : "analytical; problem-solving", "specialRequirements" : "Work model is onsite 4 days a week. Compliance with all applicable federal, state, and local equal employment opportunity laws. California Privacy Notice provided.", "outcomesObjectives" : "Identify customer pain points and journey friction by connecting insights across touchpoints, behavioral data, and feedback signals. Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management. Establish proactive monitoring and predictive analytics to detect emerging CX risks. Design and manage closed-loop feedback systems to ensure resolution and measurable improvements.", "qualificationsBasic" : "8+ years in customer insights, CX analytics, research, VoC, or CX strategy. 3+ years of leadership experience. Predictive analytics experience related to customer behavior or journey risk. Experience managing qualitative, quantitative, and behavioral research programs. Proven ability to influence senior stakeholders and lead cross-functional initiatives. Executive-level communication experience. Bachelor’s degree in relevant field required.", "qualificationsPreferred" : "Advanced degree preferred. Familiarity with CX tools (e.g., Glassbox).", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Job Title: Sr. Manager, Customer Performance & Insights Hyundai Capital America (HCA) helps people move forward. Through Hyundai Motor Finance, Genesis Finance, and Kia Finance, we deliver innovative financing, leasing, and insurance solutions to more than 3 million customers and businesses nationwide. We’re a company driven by growth, innovation, and people. At HCA, you’ll find opportunities to build new skills, expand your career, and make a real impact—while working in a diverse, inclusive, and values driven environment. We’re proud to support our communities through volunteerism, philanthropy, and engaged Employee Resource Groups. If you’re looking for a fast paced, collaborative workplace where your ideas matter, join us as we lead the future of financing freedom of movement. Apply today. WORK MODEL #LI-OnSite (4 days a week) WHAT YOU WILL DO The Sr. Manager, Customer Performance & Insights is a strategic analytics leader responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. This role builds and oversees the full ecosystem of customer feedback—both stated and unstated—to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements. HOW YOU WILL MAKE AN IMPACT Own and evolve the enterprise CX Health measurement framework, integrating feedback across channels to deliver a holistic view of customer experience Identify customer pain points and journey friction by connecting insights across touchpoints, behavioral data, and feedback signals Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management Lead customer research and analytics programs, translating findings into actionable, prioritized recommendations Integrate insights from social media, call centers, complaints, operational data, and tools like Glassbox Establish proactive monitoring and predictive analytics to detect emerging CX risks Facilitate cross-functional alignment and embed customer-driven decision-making Design and manage closed-loop feedback systems to ensure resolution and measurable improvements Influence senior stakeholders through storytelling and data-backed recommendations Lead, mentor, and develop a high-performing team WHAT YOU WILL BRING TO THE ROLE Experience: 8+ years in customer insights, CX analytics, research, VoC, or CX strategy 3+ years of leadership experience Predictive analytics experience related to customer behavior or journey risk Experience managing qualitative, quantitative, and behavioral research programs Proven ability to influence senior stakeholders and lead cross-functional initiatives Executive-level communication experience Education: Bachelor’s degree in relevant field required Advanced degree preferred Skills & Knowledge: Expertise in customer insights, VoC, and CX measurement Strong analytical and problem-solving skills Experience with SQL, Python, or predictive modeling tools Ability to translate data into actionable strategies Familiarity with CX tools (e.g., Glassbox) Strong storytelling and executive presentation skills Stakeholder management in matrixed environments Advanced Excel and Microsoft Office skills Strong communication and leadership abilities 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 HAPPENS NEXT Express your interest by submitting an application. Our recruiting team will review your application to assess alignment with the role. Visit our careers page to learn more about our culture. OTHER DETAILS Work Environment & Physical Requirements: Extended sitting, standing, and screen time in a hybrid work environment (office and remote). Our Company is an equal opportunity employer committed to fostering a diverse, inclusive, and respectful workplace—because we believe diversity builds stronger teams. We comply with all applicable federal, state, and local equal employment opportunity laws and do not discriminate on the basis of race, religion or creed, color, national origin, ancestry, caste, citizenship, sex or gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, medical condition, genetic information, marital status, family care or medical leave status, military or veteran status, political affiliation, or any other characteristic protected by law. Information provided during the application process is requested in good faith and will be used solely in accordance with applicable employment laws. 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" : "Sr. Manager, Customer Performance & Insights at Hyundai Capital America. Skills: customer insights, CX analytics, predictive analytics, stakeholder management, leadership. Responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. Builds and oversees the full ecosystem of customer feedback to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements.", "createdAt" : "2026-06-14T20:47:45.690", "lastUpdated" : "2026-06-15T13:57:07.233", "ingestTimestamp" : "2026-06-14T20:47:45.690", "mongoId" : "6a0f529b58b93c861e052fca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "SQL", "Python", "leadership", "customer insights, CX analytics, predictive analytics, stakeholder management, leadership", "Customer experience, financing, leasing, insurance solutions.", "Glassbox, Microsoft Office" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 428.42877, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307281f292fd229cffdda8", "title" : "Head of Consumer Insights", "company" : "De Beers Group", "industry" : "Mining And Metals", "salary" : { "min" : 130000.0, "max" : 180000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Consumer Insights in London, UK, adjusted for the retail industry and company size." }, "location" : "London, United Kingdom", "locations" : [ "London", "United Kingdom" ], "timestamp" : "2026-06-16T10:10:30.881", "fingerprint" : "2588b6e6e3e9f569b5d4f9ea283b655fcba53824c250e8666dcbc426f6b1d5b9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AngloAmericanDeBeersGroup/744000132190444-head-of-consumer-insights", "externalId" : "744000132190444", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Brand strategy", "Portfolio strategy", "Innovation strategy", "Media strategy", "Audience targeting", "Campaign measurement", "Strategic application", "Strategic choices", "Strategic influence", "Strategic partner" ], "hardSkillsList" : [ "Consumer insight", "Market research", "Demand Spaces", "Need states", "Category behaviours", "Segmentation", "Campaign success metrics", "ROI", "Behavioural science", "Cultural insight", "Qual/quant analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Consumer insight", "level" : "intermediate" }, { "name" : "Market research", "level" : "intermediate" }, { "name" : "Demand Spaces", "level" : "intermediate" }, { "name" : "Need states", "level" : "intermediate" }, { "name" : "Category behaviours", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Campaign success metrics", "level" : "intermediate" }, { "name" : "ROI", "level" : "intermediate" }, { "name" : "Behavioural science", "level" : "intermediate" }, { "name" : "Cultural insight", "level" : "intermediate" }, { "name" : "Qual/quant analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Consumer insight, Brand strategy, Demand generation, Strategic influence", "majorSkillsList" : [ "Consumer insight", "Brand strategy", "Demand generation", "Strategic influence" ], "coreResponsibilities" : "Create foundational consumer understanding, Maintain foundational consumer understanding, Ensure insight shapes category strategy, Ensure insight shapes brand strategy, Ensure insight shapes innovation pipelines, Act as voice of consumer, Convert consumer insight into audience targets, Partner with media agencies, Define segments for media planning, Define targeting for media planning, Define priorities for media planning, Set campaign success metrics, Ensure tracking of campaign metrics, Ensure optimisation of campaign metrics, Feed campaign learnings back, Develop best-practice methodologies for research, Develop best-practice methodologies for synthesis, Develop best-practice methodologies for storytelling, Develop best-practice methodologies for strategic application, Shift team to insight leadership, Drive consistent frameworks for insight translation, Drive consistent frameworks for insight activation, Uncover emerging consumer tensions, Uncover cultural shifts, Uncover behavioural patterns, Combine qual/quant data, Combine behavioural science, Combine cultural insight, Develop future-oriented opportunity platforms, Ensure foresight shapes strategic choices, Ensure foresight shapes long-term brand direction, Act as strategic partner to marketing, Act as strategic partner to commercial teams, Strengthen integration with marketing teams, Foster influencing capability, Build clear impact stories, Develop skills for insight team, Develop tools for insight team, Develop frameworks for insight team, Establish clear career paths, Establish growth plans for insights, Establish capability building for insights, Champion culture of curiosity, Champion culture of rigor storytelling, Champion culture of strategic influence", "teamCollaboration" : "Senior forums; Strategic discussions; Media agencies; Category marketing teams; Brand marketing teams; Commercial teams; Marketing teams; Modern insight team", "domainKnowledge" : "Diamond jewellery; High jewellery; Fine jewellery; Consumer understanding; Demand Spaces; Need states; Category behaviours; Brand strategy; Innovation pipelines; Media planning; Campaign measurement; Behavioural science; Cultural insight; Strategic choices; Brand direction", "domainList" : [ "diamond-jewellery", "high-jewellery", "fine-jewellery", "consumer-understanding", "demand-spaces", "need-states", "category-behaviours", "brand-strategy", "innovation-pipelines", "media-planning", "campaign-measurement", "behavioural-science", "cultural-insight", "strategic-choices", "brand-direction" ], "domainSpecificKnowledge" : [ "Diamond jewellery", "High jewellery", "Fine jewellery", "Consumer understanding", "Demand Spaces", "Need states", "Category behaviours", "Brand strategy", "Innovation pipelines", "Media planning", "Campaign measurement", "Behavioural science", "Cultural insight", "Strategic choices", "Brand direction" ], "communicationSkills" : "Storytelling; Influence; Impact stories", "innovationCreativity" : "Innovation pipelines; Innovative designs", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Insight shapes strategic decisions; Shift from project delivery to influence; Clear frameworks for insight quality; Clear frameworks for storytelling; Clear frameworks for activation; Alignment to Demand Spaces; Alignment to consumer growth opportunities; High performing insight team", "qualificationsBasic" : "Deep expertise in consumer insight, Market research expertise, Brand strategy expertise, Shaping brand strategy through insight, Shaping portfolio strategy through insight, Shaping innovation strategy through insight, Translating insight into media strategy, Translating insight into audience targeting, Understanding of segmentation, Understanding of campaign measurement, Proven ability to work with media agencies, Proven ability to convert research into narratives, Proven ability to convert research into recommendations, Skilled storyteller, Stakeholder influence in a matrix organization, Experience leading insight teams, Inspiring talent", "qualificationsPreferred" : "Experience in hybrid qual/quant, Experience in behavioural science, Experience in cultural analysis", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "De Beers London is the ultimate diamond jewellery House, globally recognised for its leadership and expertise in diamonds. As a challenger in the fine and high jewellery landscape, we offer a distinctive and unparalleled connection to the source, setting us apart with our unique diamond-first approach. A destination for those seeking the most extraordinary diamond jewellery, De Beers London delivers identifiable, ultra-desirable creations alongside unforgettable service and experiences. Our high jewellery collections showcase the pinnacle of artistry and craftsmanship, celebrating the rarest diamonds through innovative and breathtaking designs. The Head of Consumer Insight leads the organisation’s human‑centred understanding of consumers and ensures that deep, strategic insight shapes decisions across brand, portfolio, innovation and commercial strategy. The role transforms the Insight discipline from project‑based research into a strategic, demand‑defining capability that uncovers motivations, tensions and opportunities essential for growth. The role builds the frameworks, standards, talent and ways of working that translate research into clear, influence‑driving recommendations that define where and how the business should win. Key Responsibilities 1. Embed Insight into Core Strategy & Decision‑Making * Create and maintain foundational consumer understanding including Demand Spaces, segments, need states and category behaviours. * Ensure insight meaningfully shapes category strategy, brand strategy and innovation pipelines. * Act as the voice of the consumer in senior forums and strategic discussions. 2. Translate Insight into Audience & Media Effectiveness * Convert consumer insight into clear audience targets for media planning. * Partner with media agencies to define segments, targeting and priorities. * Set campaign success metrics (e.g. reach, engagement, brand lift, ROI) and ensure tracking and optimisation. * Feed campaign learnings back into insight and strategy. 3. Elevate Insight Quality, Standards, and Impact * Develop best‑practice methodologies for research, synthesis, storytelling and strategic application. * Shift the team from research project management to insight leadership with clear points of view. * Drive consistent frameworks for insight translation and activation across the organisation. 4. Deliver Forward‑Looking Insights & Foresight * Uncover emerging consumer tensions, cultural shifts and behavioural patterns. * Combine qual/quant, behavioural science and cultural insight to develop future‑oriented opportunity platforms. * Ensure foresight shapes upstream strategic choices and long‑term brand direction. 5. Business Partnering and Influencing * Act as a strategic partner to Category and Brand Marketing and commercial teams. * Strengthen integration with Marketing/ commercial teams for earlier impact in the development cycle, fostering strong influencing capability * Build clear impact stories that elevate the function’s influence and visibility. 6. Build Talent and Team * Develop the skills, tools and frameworks required for a modern Insight team (e.g., hybrid qual/quant, behavioural science, cultural analysis). * Establish clear career paths, growth plans, and capability building for Consumer Insights * Champion a culture of curiosity, rigor storytelling and strategic influence. What does success look like in this role? * Insight consistently shapes upstream and downstream strategic decisions. * A recognised shift from project delivery to strategic influence. * Clear frameworks for insight quality, storytelling and activation. * Strong alignment to Demand Spaces and consumer growth opportunities. * A high performing Consumer Insight team with strong capability and defined career paths. ## Qualifications Experience & Capabilities * Deep expertise in consumer insight, market research and brand strategy * Strong experience in shaping brand, portfolio and innovation strategy through insight. * Experience translating insight into media strategy and audience targeting. * Strong understanding of segmentation and campaign measurement (tracking, attribution, MMM). * Proven ability to work with media agencies on targeting and effectiveness frameworks. * Proven ability to convert research into compelling strategic narratives and recommendations. * Skilled storyteller with strong stakeholder influence in a matrix organization. * Experience leading small, high‑impact insight teams and inspiring talent ## Additional Information What you’ll get at De Beers Group At De Beers Group, our purpose is to Make Life Brilliant — and that starts with supporting our people to thrive at work and beyond with benefits that support your health, time, and financial wellbeing. * Time that’s yours: 27 days’ annual leave plus bank holidays, with the option to buy or sell leave via our flexible benefits platform. * A pension that invests in your future: minimum 4% employee contribution plus 11% company contribution (15% total). * Healthcare you can rely on: company‑funded core Private Medical Insurance (Bupa) , with options to upgrade or extend cover. * Support when life gets busy: 24/7 confidential Employee Assistance Programme , access to a Mental Health First Aider network , and wider wellbeing resources. * Financial perks & savings: access to our flexible benefits platform, including options such as holiday trading, travel insurance, dental cover, critical illness protection, retail vouchers and more. * Share schemes: opportunities to participate in Anglo American share plans , including Free Shares, SIP and SAYE. * Lifestyle perks: employee discounts, staff discount options, and onsite benefits where available (e.g. gym and restaurant facilities). Benefits may vary and are subject to scheme terms and eligibility. Who we are De Beers Group is a company with a rich history and a sparkling future. Since 1888 our experts have searched the world for nature’s most precious gem. Our diamonds bring beauty to the world. But we think they can do so much more. We want our diamonds, and our business, to make life brilliant – for our people, our customers and the world around us. Venetia Mine is part of De Beers Group Managed Operations Business which integrates mines, operations and support functions in the De Beers Group producer countries of Canada and South Africa to shape a safe, sustainable future for De Beers Group’s people, shareholders, communities and partners. Safety Safety first is a way of life for us. We are unconditional about the safety, health and well-being of our colleagues, at work and at home, and about that of the communities where we work. We aim to lead the industry by investing in innovation to protect people, who are at the heart of our business. Our high performing teams take accountability for their own and others' actions, work collaboratively, and always show care and respect. Inclusion & Diversity We are committed to promoting an inclusive and diverse workplace where we value and respect every colleague for who they are. We provide equality of opportunity to enable everyone to fulfil their potential. Referrals incentive applicable: This opportunity is open to a paid referral incentive according to the Referral Policy. Referral incentives are applicable to De Beers Group internal employees only. Building Forever Sustainability is at the heart of our decision-making – it is how we do business. Building Forever is key to our purpose as it represents our ambitious and holistic sustainability framework and is central to our ability to deliver long-term value to our communities and partners. This shapes how we protect our social and environmental license to operate, build a long-term legacy in our host communities and earn consumers’ trust in our diamonds that they can wear with pride. Background Checks Successful candidates will be required to complete background screening which may include a criminal check and validation of qualifications. #LI-LP1", "summaryDescription" : "Head of Consumer Insights at De Beers Group. Skills: Consumer insight, Brand strategy, Demand generation, Strategic influence. Create foundational consumer understanding. Maintain foundational consumer understanding", "postedDate" : "2026-06-15T12:40:48.000", "createdAt" : "2026-06-16T01:32:39.000", "lastUpdated" : "2026-06-16T10:10:30.881", "ingestTimestamp" : "2026-06-16T01:32:39.000", "mongoId" : "6a307281f292fd229cffdda8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Consumer insight", "Market research", "Demand Spaces", "Need states", "Category behaviours", "Segmentation", "Campaign success metrics", "ROI", "Behavioural science", "Cultural insight", "Qual/quant analysis", "Leadership", "Brand strategy", "Demand generation", "Strategic influence", "Portfolio strategy", "Innovation strategy", "Media strategy", "Audience targeting", "Campaign measurement", "Strategic application", "Strategic choices", "Strategic partner", "Diamond jewellery", "High jewellery", "Fine jewellery", "Consumer understanding", "Innovation pipelines", "Media planning", "Brand direction" ], "skillCount" : 30, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 428.17728, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30558af292fd229cf1fffa", "title" : "Head of Consumer Insights", "company" : "De Beers Group", "industry" : "Mining And Metals", "salary" : { "min" : 135000.0, "max" : 180000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Consumer Insights in London, UK, adjusted for the retail industry and company size." }, "location" : "London, United Kingdom", "locations" : [ "London", "United Kingdom" ], "timestamp" : "2026-06-16T08:11:57.448", "fingerprint" : "6918dc6e1b0f6806ecd490b83cb72e558dc4ac1076eedd41e212ab59bff6d76f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AngloAmericanDeBeersGroup/744000132190444-head-of-consumer-insights", "externalId" : "744000132190444", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Brand strategy", "Portfolio strategy", "Innovation strategy", "Media strategy", "Audience targeting", "Campaign measurement", "Segmentation", "Strategic application", "Strategic choices", "Strategic influence", "Strategic partner" ], "hardSkillsList" : [ "Consumer insight", "Market research", "Demand Spaces", "Need states", "Category behaviours", "Media planning", "Campaign success metrics", "Research methodologies", "Synthesis", "Storytelling", "Strategic application", "Behavioural science", "Cultural insight", "Foresight", "Business partnering", "Influencing capability", "Talent development", "Capability building" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Consumer insight", "level" : "intermediate" }, { "name" : "Market research", "level" : "intermediate" }, { "name" : "Demand Spaces", "level" : "intermediate" }, { "name" : "Need states", "level" : "intermediate" }, { "name" : "Category behaviours", "level" : "intermediate" }, { "name" : "Media planning", "level" : "intermediate" }, { "name" : "Campaign success metrics", "level" : "intermediate" }, { "name" : "Research methodologies", "level" : "intermediate" }, { "name" : "Synthesis", "level" : "intermediate" }, { "name" : "Storytelling", "level" : "intermediate" }, { "name" : "Strategic application", "level" : "intermediate" }, { "name" : "Behavioural science", "level" : "intermediate" }, { "name" : "Cultural insight", "level" : "intermediate" }, { "name" : "Foresight", "level" : "intermediate" }, { "name" : "Business partnering", "level" : "intermediate" }, { "name" : "Influencing capability", "level" : "intermediate" }, { "name" : "Talent development", "level" : "intermediate" }, { "name" : "Capability building", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Consumer insight, Brand strategy, Demand generation, Growth metrics", "majorSkillsList" : [ "Consumer insight", "Brand strategy", "Demand generation", "Growth metrics" ], "coreResponsibilities" : "Create foundational consumer understanding, Maintain foundational consumer understanding, Ensure insight shapes category strategy, Ensure insight shapes brand strategy, Ensure insight shapes innovation pipelines, Act as voice of consumer, Convert insight into audience targets, Partner with media agencies, Define segments for media, Define targeting for media, Define priorities for media, Set campaign success metrics, Ensure tracking of metrics, Ensure optimisation of metrics, Feed campaign learnings back, Develop research methodologies, Develop synthesis methodologies, Develop storytelling methodologies, Develop strategic application methodologies, Shift team to insight leadership, Drive frameworks for insight translation, Drive frameworks for insight activation, Uncover emerging consumer tensions, Uncover cultural shifts, Uncover behavioural patterns, Combine qual/quant insight, Combine behavioural science insight, Combine cultural insight, Develop future-oriented platforms, Ensure foresight shapes strategic choices, Ensure foresight shapes long-term brand direction, Act as strategic partner, Strengthen integration with teams, Foster influencing capability, Build impact stories, Develop team skills, Develop team tools, Develop team frameworks, Establish career paths, Establish growth plans, Establish capability building", "teamCollaboration" : "Senior forums; Strategic discussions; Media agencies; Category marketing teams; Brand marketing teams; Commercial teams", "domainKnowledge" : "Diamond jewellery; Fine jewellery; High jewellery; Demand Spaces; Behavioural science; Cultural insight", "domainList" : [ "diamond-jewellery", "fine-jewellery", "high-jewellery", "demand-spaces", "behavioural-science", "cultural-insight" ], "domainSpecificKnowledge" : [ "Diamond jewellery", "Fine jewellery", "High jewellery", "Demand Spaces", "Behavioural science", "Cultural insight" ], "communicationSkills" : "Storytelling; Strategic narratives; Influence", "innovationCreativity" : "Innovation pipelines; Innovative designs", "problemSolvingSkills" : "Strategic application; Strategic influence", "outcomesObjectives" : "Insight shapes strategic decisions; Shift from project delivery to strategic influence; Clear frameworks for insight quality; Clear frameworks for storytelling; Clear frameworks for activation; Alignment to Demand Spaces; Alignment to consumer growth opportunities; High performing Consumer Insight team", "qualificationsBasic" : "Deep expertise in consumer insight, Market research expertise, Brand strategy expertise, Shaping brand strategy through insight, Shaping portfolio strategy through insight, Shaping innovation strategy through insight, Translating insight into media strategy, Translating insight into audience targeting, Segmentation understanding, Campaign measurement understanding, Tracking understanding, Attribution understanding, MMM understanding, Work with media agencies, Convert research into narratives, Convert research into recommendations, Skilled storyteller, Stakeholder influence, Leading insight teams, Inspiring talent", "qualificationsPreferred" : "Experience in hybrid qual/quant, Experience in behavioral science, Experience in cultural analysis", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "De Beers London is the ultimate diamond jewellery House, globally recognised for its leadership and expertise in diamonds. As a challenger in the fine and high jewellery landscape, we offer a distinctive and unparalleled connection to the source, setting us apart with our unique diamond-first approach. A destination for those seeking the most extraordinary diamond jewellery, De Beers London delivers identifiable, ultra-desirable creations alongside unforgettable service and experiences. Our high jewellery collections showcase the pinnacle of artistry and craftsmanship, celebrating the rarest diamonds through innovative and breathtaking designs. The Head of Consumer Insight leads the organisation’s human‑centred understanding of consumers and ensures that deep, strategic insight shapes decisions across brand, portfolio, innovation and commercial strategy. The role transforms the Insight discipline from project‑based research into a strategic, demand‑defining capability that uncovers motivations, tensions and opportunities essential for growth. The role builds the frameworks, standards, talent and ways of working that translate research into clear, influence‑driving recommendations that define where and how the business should win. Key Responsibilities 1. Embed Insight into Core Strategy & Decision‑Making * Create and maintain foundational consumer understanding including Demand Spaces, segments, need states and category behaviours. * Ensure insight meaningfully shapes category strategy, brand strategy and innovation pipelines. * Act as the voice of the consumer in senior forums and strategic discussions. 2. Translate Insight into Audience & Media Effectiveness * Convert consumer insight into clear audience targets for media planning. * Partner with media agencies to define segments, targeting and priorities. * Set campaign success metrics (e.g. reach, engagement, brand lift, ROI) and ensure tracking and optimisation. * Feed campaign learnings back into insight and strategy. 3. Elevate Insight Quality, Standards, and Impact * Develop best‑practice methodologies for research, synthesis, storytelling and strategic application. * Shift the team from research project management to insight leadership with clear points of view. * Drive consistent frameworks for insight translation and activation across the organisation. 4. Deliver Forward‑Looking Insights & Foresight * Uncover emerging consumer tensions, cultural shifts and behavioural patterns. * Combine qual/quant, behavioural science and cultural insight to develop future‑oriented opportunity platforms. * Ensure foresight shapes upstream strategic choices and long‑term brand direction. 5. Business Partnering and Influencing * Act as a strategic partner to Category and Brand Marketing and commercial teams. * Strengthen integration with Marketing/ commercial teams for earlier impact in the development cycle, fostering strong influencing capability * Build clear impact stories that elevate the function’s influence and visibility. 6. Build Talent and Team * Develop the skills, tools and frameworks required for a modern Insight team (e.g., hybrid qual/quant, behavioural science, cultural analysis). * Establish clear career paths, growth plans, and capability building for Consumer Insights * Champion a culture of curiosity, rigor storytelling and strategic influence. What does success look like in this role? * Insight consistently shapes upstream and downstream strategic decisions. * A recognised shift from project delivery to strategic influence. * Clear frameworks for insight quality, storytelling and activation. * Strong alignment to Demand Spaces and consumer growth opportunities. * A high performing Consumer Insight team with strong capability and defined career paths. ## Qualifications Experience & Capabilities * Deep expertise in consumer insight, market research and brand strategy * Strong experience in shaping brand, portfolio and innovation strategy through insight. * Experience translating insight into media strategy and audience targeting. * Strong understanding of segmentation and campaign measurement (tracking, attribution, MMM). * Proven ability to work with media agencies on targeting and effectiveness frameworks. * Proven ability to convert research into compelling strategic narratives and recommendations. * Skilled storyteller with strong stakeholder influence in a matrix organization. * Experience leading small, high‑impact insight teams and inspiring talent ## Additional Information What you’ll get at De Beers Group At De Beers Group, our purpose is to Make Life Brilliant — and that starts with supporting our people to thrive at work and beyond with benefits that support your health, time, and financial wellbeing. * Time that’s yours: 27 days’ annual leave plus bank holidays, with the option to buy or sell leave via our flexible benefits platform. * A pension that invests in your future: minimum 4% employee contribution plus 11% company contribution (15% total). * Healthcare you can rely on: company‑funded core Private Medical Insurance (Bupa) , with options to upgrade or extend cover. * Support when life gets busy: 24/7 confidential Employee Assistance Programme , access to a Mental Health First Aider network , and wider wellbeing resources. * Financial perks & savings: access to our flexible benefits platform, including options such as holiday trading, travel insurance, dental cover, critical illness protection, retail vouchers and more. * Share schemes: opportunities to participate in Anglo American share plans , including Free Shares, SIP and SAYE. * Lifestyle perks: employee discounts, staff discount options, and onsite benefits where available (e.g. gym and restaurant facilities). Benefits may vary and are subject to scheme terms and eligibility. Who we are De Beers Group is a company with a rich history and a sparkling future. Since 1888 our experts have searched the world for nature’s most precious gem. Our diamonds bring beauty to the world. But we think they can do so much more. We want our diamonds, and our business, to make life brilliant – for our people, our customers and the world around us. Venetia Mine is part of De Beers Group Managed Operations Business which integrates mines, operations and support functions in the De Beers Group producer countries of Canada and South Africa to shape a safe, sustainable future for De Beers Group’s people, shareholders, communities and partners. Safety Safety first is a way of life for us. We are unconditional about the safety, health and well-being of our colleagues, at work and at home, and about that of the communities where we work. We aim to lead the industry by investing in innovation to protect people, who are at the heart of our business. Our high performing teams take accountability for their own and others' actions, work collaboratively, and always show care and respect. Inclusion & Diversity We are committed to promoting an inclusive and diverse workplace where we value and respect every colleague for who they are. We provide equality of opportunity to enable everyone to fulfil their potential. Referrals incentive applicable: This opportunity is open to a paid referral incentive according to the Referral Policy. Referral incentives are applicable to De Beers Group internal employees only. Building Forever Sustainability is at the heart of our decision-making – it is how we do business. Building Forever is key to our purpose as it represents our ambitious and holistic sustainability framework and is central to our ability to deliver long-term value to our communities and partners. This shapes how we protect our social and environmental license to operate, build a long-term legacy in our host communities and earn consumers’ trust in our diamonds that they can wear with pride. Background Checks Successful candidates will be required to complete background screening which may include a criminal check and validation of qualifications. #LI-LP1", "summaryDescription" : "Head of Consumer Insights at De Beers Group. Skills: Consumer insight, Brand strategy, Demand generation, Growth metrics. Create foundational consumer understanding. Maintain foundational consumer understanding", "postedDate" : "2026-06-15T12:40:48.000", "createdAt" : "2026-06-15T23:41:30.504", "lastUpdated" : "2026-06-16T08:11:57.448", "ingestTimestamp" : "2026-06-15T23:41:30.504", "mongoId" : "6a30558af292fd229cf1fffa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Consumer insight", "Market research", "Demand Spaces", "Need states", "Category behaviours", "Media planning", "Campaign success metrics", "Research methodologies", "Synthesis", "Storytelling", "Strategic application", "Behavioural science", "Cultural insight", "Foresight", "Business partnering", "Influencing capability", "Talent development", "Capability building", "Leadership", "Brand strategy", "Demand generation", "Growth metrics", "Portfolio strategy", "Innovation strategy", "Media strategy", "Audience targeting", "Campaign measurement", "Segmentation", "Strategic choices", "Strategic influence", "Strategic partner", "Diamond jewellery", "Fine jewellery", "High jewellery" ], "skillCount" : 34, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 428.17728, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30985ff292fd229c0e4385", "title" : "Senior Data Scientist", "company" : "DoorDash", "industry" : "Logistics", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Scientist in Melbourne, Australia, adjusted for seniority and technology industry." }, "location" : "Melbourne", "locations" : [ "Melbourne" ], "timestamp" : "2026-06-16T12:39:56.606", "fingerprint" : "6809a563b97e20bb66559ca9e59dbd18fb5566691575a5cf19e403d703de29eb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/doordashaustralia/jobs/7993751", "externalId" : "7993751", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "hybrid", "geo" : "-37.8142454,144.9631732" }, { "country" : "New Zealand", "continent" : "oc", "workMode" : "onsite" }, { "country" : "United States", "continent" : "na", "workMode" : "onsite" }, { "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Melbourne, Victoria, Australia; New Zealand; United States; United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Quantitative analysis", "Thought partner", "Stakeholder management", "Business decisions" ], "hardSkillsList" : [ "Statistical techniques", "Hypothesis testing", "Experimentation techniques" ], "hardSkills" : [ { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" }, { "name" : "Experimentation techniques", "level" : "intermediate" } ], "majorSkills" : "Data Science, Analytics, Business Intelligence", "majorSkillsList" : [ "Data Science", "Analytics", "Business Intelligence" ], "coreResponsibilities" : "Provide insights to understand marketplace dynamics, Provide insights to understand user behaviours, Provide insights to understand long-term trends, Use quantitative analysis, Present data, Build full-cycle analytics experiments, Build reports, Build dashboards, Identify levers to move metrics, Measure levers to move metrics, Make recommendations, Understand and size problems, Ideate solutions, Produce recommendations, Use statistical techniques, Use hypothesis testing, Use experimentation techniques, Validate findings", "teamCollaboration" : "Strategy & Operations teams; Executive Leadership Team; Cross-functional team; Strategy, operations, product, finance and engineering", "projectManagementSkills" : [ "Strategic projects" ], "domainKnowledge" : "Three-sided marketplace; Marketplace dynamics; User behaviours; Long-term trends", "domainList" : [ "three-sided-marketplace", "marketplace-dynamics", "user-behaviours", "long-term-trends" ], "domainSpecificKnowledge" : [ "Three-sided marketplace", "Marketplace dynamics", "User behaviours", "Long-term trends" ], "problemSolvingSkills" : "Ambiguous problems; Structured problem solving; Hypothesis-driven problem solving; Data-supported problem solving", "outcomesObjectives" : "Drive growth; Drive operational excellence", "qualificationsBasic" : "6+ years of experience, Degree in Math, Physics, Statistics, Economics, Computer Science, or similar, Very experienced with SQL queries, Basic ETL, Regression techniques, Proficiency in Python or R, Experience with experimentation techniques, Experience with A/B testing, Experience with Causal Inference, Experience interpreting hypothesis testing", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About the Team DoorDash is a complex and constantly evolving business; The global BizOps team is primarily responsible for crafting the story about business performance (what’s happening, why is it happening, what we should do about it), diving deep on key KPI trends, and surfacing insights and recommendations to stakeholders to ensure we understand our current business climate and react in a data-informed manner. About the Role You will be a key BizOps partner, working closely with the Strategy & Operations team and the ANZ Executive Leadership Team to turn data into actionable insights—understanding what is happening, why it is happening, and what actions should be taken next. You will focus on the ANZ markets, helping to drive strategic initiatives across the region. You will adapt and apply best practices from the US business to local market dynamics while providing data-driven recommendations that inform business decisions. DoorDash operates a three-sided marketplace comprising Consumers, Merchants, and Dashers. In this role, you will work across all three groups to identify opportunities, solve complex business challenges, and drive growth and operational excellence. This is a hybrid role, with 3 days in-office and 2 days remote. You're excited about this opportunity because you will… Be a first-class thought partner to our Strategy & Operations and Executive teams and help them make decisions on what’s next for DoorDash Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools Identify and measure levers to help move essential metrics and make recommendations Work backwards from understanding and sizing problems to ideating solutions Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings. We're excited about you because you have… 6+ years of experience in data analytics, consulting, or related quantitative roles and a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain. The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way Experience leading /owning strategic projects to completion with multiple cross-functional teams Excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering while prioritising competing needs Very experienced with SQL queries, Basic ETL, Regression techniques Proficiency in at least one programming language, preferably Python or R Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks. 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. If you need any accommodations, please inform your recruiting contact upon initial connection.", "summaryDescription" : "Senior Data Scientist at DoorDash. Skills: Data Science, Analytics, Business Intelligence. Provide insights to understand marketplace dynamics. Provide insights to understand user behaviours", "postedDate" : "2026-06-16T03:16:34.088", "createdAt" : "2026-06-16T03:16:34.088", "lastUpdated" : "2026-06-16T12:39:56.606", "ingestTimestamp" : "2026-06-16T03:16:34.088", "mongoId" : "6a30985ff292fd229c0e4385", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Statistical techniques", "Hypothesis testing", "Experimentation techniques", "Data Science", "Analytics", "Business Intelligence", "Quantitative analysis", "Thought partner", "Stakeholder management", "Business decisions", "Strategic projects", "Three-sided marketplace", "Marketplace dynamics", "User behaviours", "Long-term trends" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 428.03433, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305714f292fd229cf339d0", "title" : "Senior Social Insights Analyst", "company" : "OLIVER", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Social Insights Analyst in Spain, adjusted for industry and remote work." }, "location" : "Pipeline", "locations" : [ "Pipeline" ], "timestamp" : "2026-06-16T10:44:45.333", "fingerprint" : "72d4084c158c3a4e577309e5d8f07d5289a41b7344be50775888d402bbbb607a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oliver/jobs/8007128", "externalId" : "8007128", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Spain", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Spain", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Established in 2004, OLIVER is the world’s first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences. As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Senior Social Insights Analyst Location: Spain (remote) ABOUT THE ROLE We are seeking a Research able to anticipate insight needs and build tailored responses Curious, growth‑minded, and eager to continually learn and push boundaries Confident working in fast‑paced, evolving environments with multiple stakeholders Collaborative, open‑minded team player Req ID: 17325 #LI-JP1 #LI-Hybrid #LI-director Our values shape everything we do: Be Ambitious to succeed  Be Imaginative to push the boundaries of what’s possible  Be Inspirational to do groundbreaking work  Be always learning and listening to understand  Be Results-focused  to exceed expectations  Be actively pro-inclusive and anti-racist across our community, clients and creations  OLIVER, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.   OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.", "summaryDescription" : "Senior Social Insights Analyst at OLIVER", "postedDate" : "2026-06-15T23:17:41.534", "createdAt" : "2026-06-15T23:17:41.534", "lastUpdated" : "2026-06-16T10:44:45.333", "ingestTimestamp" : "2026-06-15T23:17:41.534", "mongoId" : "6a305714f292fd229cf339d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 424.33466, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3089aaf292fd229c094823", "title" : "[RTC] Intern AI-Driven Software Engineer", "company" : "Software Mind", "industry" : "Information Technology And Services", "salary" : { "min" : 42000.0, "max" : 60000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an entry-level AI-Driven Software Engineer intern in Krakow, Poland, adjusted for the technology industry and internship role." }, "location" : "Kraków, Lesser Poland Voivodeship, Poland", "locations" : [ "Kraków", "Lesser Poland Voivodeship", "Poland" ], "timestamp" : "2026-06-16T10:29:17.401", "fingerprint" : "88141d15253308cba3e90034999eec20121669afed47d88e9624106b65cd1b07", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SoftwareMind/744000132214269--rtc-intern-ai-driven-software-engineer", "externalId" : "744000132214269", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kraków", "state" : "Lesser Poland Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.0469432,19.9971534" } ], "locationText" : "Kraków, Lesser Poland Voivodeship, Poland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "C#, NET, ASP.NET Core, Web API, Entity Framework", "professionalSkills" : [ "System integrations", "Code generation", "Code refactoring", "Technical research", "Code reviews", "Bug analysis", "Log analysis" ], "hardSkillsList" : [ "Backend development", "API maintenance", "Unit testing", "AI tool usage", "AI verification" ], "softSkillsList" : [ "Independence" ], "hardSkills" : [ { "name" : "Backend development", "level" : "intermediate" }, { "name" : "API maintenance", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" }, { "name" : "AI tool usage", "level" : "intermediate" }, { "name" : "AI verification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independence" } ], "majorSkills" : "C#, NET, AI tools", "majorSkillsList" : [ "C#", "NET", "AI tools" ], "coreResponsibilities" : "Develop backend tasks, Maintain APIs, Assist with system integrations, Write clean code, Write testable code, Create unit tests, Utilize AI tools consciously, Participate in code reviews, Participate in workshops, Participate in demos, Analyze bugs, Analyze logs, Collaborate with developers, Verify AI-generated solutions", "teamCollaboration" : "Agile international team; Experienced developers; Experienced testers", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Travel industry", "domainList" : [ "travel-industry" ], "domainSpecificKnowledge" : [ "Travel industry" ], "toolProficiency" : [ "Git", "ChatGPT", "Copilot", "Cursor", "Claude", "Gemini" ], "continuousLearning" : "Willingness to grow; Continuous self-development", "innovationCreativity" : "Creativity", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "Solid C# basics, Practical knowledge of C#, Hands-on experience, Basic understanding of backend development, Basic understanding of Web API, Basic understanding of Entity Framework, Basic understanding of databases, Working knowledge of Git, Ability to read code, Ability to improve code, Practical skills in leveraging AI tools, Good understanding of AI limitations, English proficiency at B2 level", "qualificationsPreferred" : "Growth-oriented intern, Junior .NET developer, Active GitHub profile, Portfolio of post-hours applications, Basic knowledge of SQL, Database optimization, First experience writing unit tests, Interest in work automation, Interest in productivity tools, Mindset focused on continuous self-development, Mindset focused on problem-solving", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment. Project – the aim you’ll have You will join an agile, international team of experienced developers and testers (Poland/UK) working on a strategic transformation of the IT ecosystem for a leading travel industry company. The main goal is designing and building modern, scalable solutions from scratch to replace outdated systems using best engineering practices. Position – how you’ll contribute We are looking for a growth-oriented intern or junior .NET developer who already has solid C# basics and genuinely wants to learn. We welcome a proactive mindset, where you treat AI as an everyday coding buddy that helps you debug, research, and learn faster – not as a \"magic button\" that does the thinking for you. If you are ready to take ownership of your tasks, want to understand how your code works under the hood, and are excited to solve real business puzzles in a relaxed, no-nonsense engineering culture, you’ll fit right in. Your daily tasks will include: * Developing backend tasks in .NET, maintaining APIs, and assisting with system integrations * Writing clean, testable code and creating unit tests with mentor support * Utilizing AI tools consciously for code generation, refactoring, debugging, and technical research * Participating in code reviews, internal workshops, technical demos, and analyzing bugs/logs * Collaborating closely with experienced developers and verifying AI-generated solutions before implementation ## Qualifications Expectations – the experience you need * Practical knowledge of C# and willingness to grow within the .NET / ASP.NET Core ecosystem * Hands-on experience demonstrated through personal projects, a GitHub profile, or commercial exposure * Basic understanding of backend development, Web API, Entity Framework, and databases * Working knowledge of Git and the ability to read and improve existing code * Practical skills in leveraging AI tools (e.g., ChatGPT, Copilot, Cursor, Claude, Gemini) for debugging, research, and automation * Good understanding of AI limitations, including hallucinations, data security, privacy, and the necessity of verification * English proficiency at a B2 level or higher * Strong communication skills, independence, curiosity, and readiness to receive constructive feedback Additional skills – the edge you have * Active GitHub profile or a portfolio of post-hours applications * Basic knowledge of SQL and database optimization * First experience with writing unit tests * Strong interest in work automation and productivity tools * Mindset focused on continuous self-development and problem-solving What does the recruitment process look like? During the interview, we will want to see how you think, solve problems, and use AI. You can expect a technical conversation and practical questions about .NET, C#, APIs, and AI tools. We will look not only at the result, but also at your way of working: * how you analyse a problem * how you formulate questions for AI * how you verify answers * what you accept * what you reject * how you explain your technical decisions", "summaryDescription" : "[RTC] Intern AI-Driven Software Engineer at Software Mind. Skills: C#, NET, AI tools. Develop backend tasks. Maintain APIs", "postedDate" : "2026-06-15T14:14:11.000", "createdAt" : "2026-06-16T01:37:28.630", "lastUpdated" : "2026-06-16T10:29:17.401", "ingestTimestamp" : "2026-06-16T01:37:28.630", "mongoId" : "6a3089aaf292fd229c094823", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Backend development", "API maintenance", "Unit testing", "AI tool usage", "AI verification", "Independence", "C#", "NET", "AI tools", "System integrations", "Code generation", "Code refactoring", "Technical research", "Code reviews", "Bug analysis", "Log analysis", "Agile", "Travel industry", "Git", "ChatGPT", "Copilot", "Cursor", "Claude", "Gemini" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 423.62552, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a87f292fd229cf52328", "title" : "Data Analyst", "company" : "Scopely", "industry" : "Media", "salary" : { "min" : 950000.0, "max" : 1550000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Analyst in Bangalore, India, with mid-level experience in the gaming industry, adjusted for company size and onsite work mode." }, "location" : "Bangalore", "locations" : [ "Bangalore" ], "timestamp" : "2026-06-16T09:04:04.324", "fingerprint" : "acd99eed97a7e82aa2450ab159df05e3544833595bc70fc68360274008434d6d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scopely/jobs/5226372008?gh_jid=5226372008", "externalId" : "5226372008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, Tableau, Looker, R, SAS, SPSS, Matlab", "professionalSkills" : [ "Performance marketing analysis", "Forecasting" ], "hardSkillsList" : [ "Quantitative analysis", "Statistical analysis", "Financial analysis", "Complex queries", "A/B testing" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Complex queries", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" } ], "coreResponsibilities" : "Deliver actionable insights, Increase user acquisition, Increase engagement, Increase monetization, Provide reports, Design analytics events, Implement analytics events, Design queries, Implement queries, Evaluate game features, Improve game features, Perform analyses, Identify trends, Analyze trends, Interpret trends, Analyze issues, Interpret issues, Analyze opportunities, Interpret opportunities, Perform competitor analysis, Answer business questions, Generate business reports, Perform exploratory data analysis, Generate ad-hoc reports, Design statistical testing, Implement statistical testing", "teamCollaboration" : "Work collaboratively with game teams", "domainKnowledge" : "Mobile gaming", "domainList" : [ "mobile-gaming" ], "domainSpecificKnowledge" : [ "Mobile gaming" ], "toolProficiency" : [ "Tableau", "Looker" ], "communicationSkills" : "Presentation skills", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "B. TechS in Computer Science, B. TechS in Statistics, B. TechS in Math, B. TechS in Physics, 2+ years overall experience, 2+ years SQL/Python experience, 2+ years reporting system experience", "qualificationsPreferred" : "Advanced degrees, 2+ years mobile gaming domain, Statistical background, Onboarding analysis experience, Early funnel analysis experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Scopely is looking for a Data Analyst to join Bingo Bash team in Bangalore on a hybrid basis! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. Bingo Bash is a highly international team working on the biggest video game from India to date (measured by revenue). Here you will work on a top-grossing F2P game with significant and growing daily revenues, and help create fresh content for our players.. What You’ll Do Work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization using statistical techniques & provide reports Design and implement new analytics events and queries for new game features, game events and player offers, to make sure the team gets the information they need to evaluate and improve the game Proactively perform a wide range of analyses to identify/analyze/interpret trends, issues, and opportunities across games and perform competitor analysis Answer business-related questions & generate business reports through exploratory data analyses and ad-hoc reporting Design and implement advanced statistical testing for specific problem-solving needs(e. g. A/B testing) What We’re Looking For B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines 2+ years of overall experience in a data analyst, financial analyst, scientist or similar role performing quantitative, statistical or financial analysis 2+ years’ experience using SQL/Python, including complex queries from multiple data sources 2+ years’ experience creating reports using Tableau/Looker or a similar reporting system Experience creating, operating and analyzing multiple simultaneous A/B tests Excellent analytical and problem-solving skills, including forecasting and performance marketing analysis Strong communication and presentation skills, including extensive use of chart and table tools Passion for speed and large data sets Bonus Points Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making. Advanced degrees a plus 2+ years within the mobile gaming domain Strong statistical background Experience with R, SAS, SPSS, Matlab or other statistical modeling packages Had experience of onboarding/early funnel analysis At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employmentopportunities and welcome individuals from all backgrounds to join us & embrace the Adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U. S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Niantic games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the \"100 Most Influential Companies in the World\" by TIME magazine and one of Fast Company's \"World's Most Innovative Companies\" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/. Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com. Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice. Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.", "summaryDescription" : "Data Analyst at Scopely. Deliver actionable insights. Increase user acquisition", "postedDate" : "2026-06-15T23:24:38.409", "createdAt" : "2026-06-15T23:24:38.409", "lastUpdated" : "2026-06-16T09:04:04.324", "ingestTimestamp" : "2026-06-15T23:24:38.409", "mongoId" : "6a305a87f292fd229cf52328", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Statistical analysis", "Financial analysis", "Complex queries", "A/B testing", "Performance marketing analysis", "Forecasting", "Mobile gaming", "Tableau", "Looker" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 421.52557, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Gaming", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307653f292fd229c01868b", "title" : "Data Reporter, Senior Data Reporter", "company" : "Financial Times", "industry" : "Media", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Reporter in New York, United States, with adjustments for the media industry and company size." }, "location" : "New York", "locations" : [ "New York" ], "timestamp" : "2026-06-16T11:05:22.596", "fingerprint" : "841d880dee9c0cb749a04eed70320c7034a93595b270ca6b0d46acd3cd552bdc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/financialtimes33/jobs/4895510101", "externalId" : "4895510101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, Excel, APIs, Databases, Web scraping, HTML, CSS, JavaScript, D3", "professionalSkills" : [ "Data acquisition", "Data cleaning", "Data analysis", "Reporting", "Storytelling", "Visualisation", "Interactive content", "Journalistic techniques", "Analytical projects", "Investigative projects", "Business reporting", "Analytical storytelling" ], "hardSkillsList" : [ "Quantitative analysis", "Data interpretation", "Data visualisation", "Journalistic integrity" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data visualisation", "level" : "intermediate" }, { "name" : "Journalistic integrity", "level" : "intermediate" } ], "majorSkills" : "Data journalism, Data analysis, Visual storytelling, Data visualisation", "majorSkillsList" : [ "Data journalism", "Data analysis", "Visual storytelling", "Data visualisation" ], "coreResponsibilities" : "Develop original, data-driven stories, Source datasets, Collect datasets, Clean datasets, Analyse datasets, Build compelling charts, Build graphics, Build interactive visualisations, Identify trends within datasets, Identify anomalies within datasets, Identify opportunities within datasets, Run analytical projects, Complete analytical projects, Complete shorter-term assignments, Collaborate with reporters, Collaborate with editors, Collaborate with visual journalists, Support colleagues, Use public records, Use databases, Use APIs, Use web scraping techniques, Use proprietary datasets, Ensure reporting meets highest standards, Ensure analysis meets highest standards, Contribute to development of data journalism capabilities", "teamCollaboration" : "Cross-functional teams; Reporters and editors; Data visualisation team", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Institutional investing; Wealth management; Financial advisory industry", "domainList" : [ "institutional-investing", "wealth-management", "financial-advisory-industry" ], "domainSpecificKnowledge" : [ "Institutional investing", "Wealth management", "Financial advisory industry" ], "toolProficiency" : [ "Flourish", "Adobe Illustrator" ], "communicationSkills" : "Translate quantitative findings", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Produce exclusive, data-driven reporting; Produce visual storytelling; Create engaging visualisations; Create interactive content; Deliver insights readers cannot find elsewhere; Enhance storytelling; Enhance audience engagement; Uncover new reporting opportunities", "qualificationsBasic" : "Demonstrated experience producing data-driven journalism, Interest in data journalism, Interest in visual storytelling, Interest in financial or business news, Proven track record to identify, analyse and communicate compelling stories through data, Experience using Python or R for data acquisition, cleaning, analysis and reporting, Proficiency with Excel, Experience working with APIs, Experience working with databases, Experience working with web scraping techniques, Knowledge of data visualisation standard processes, Exceptional attention to detail, Commitment to accuracy, Ability to translate complex quantitative findings into clear and engaging journalism for non-technical audiences, Communication skills, Collaboration skills, Project management skills, Experience working successfully within cross-functional teams, Experience working in time-sensitive environments", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT. Our Commitment to Equity in the Workplace We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups. The Role / Position Overview FT Specialist is seeking a Data Reporter / Senior Data Reporter to join our growing data journalism team, producing exclusive, data-driven reporting and visual storytelling for FundFire and Financial Advisor IQ. This role sits at the intersection of journalism, data analysis and visual design. You will be responsible for sourcing, cleaning, analysing and interpreting complex datasets to uncover original stories covering institutional investments, wealth management and the financial advisory industry. You will also create engaging visualisations and interactive content that help our journalism stand out and deliver insights readers cannot find elsewhere. Working as part of a six-person data visualisation team, you will collaborate closely with reporters and editors across both publications while reporting to the Managing Editor of Data Visualization. The successful candidate will be equally comfortable developing ambitious long-term investigative and analytical projects as well as delivering shorter-turnaround stories that respond to emerging industry trends and news events. We are looking for a curious, collaborative and entrepreneurial journalist who is passionate about using data to reveal meaningful stories and who is committed to continually developing their skills in a fast-evolving newsroom environment. Key Responsibilities Develop original, data-driven stories covering institutional investing, wealth management and financial advisory businesses. Source, collect, clean and analyse structured and unstructured datasets using a range of journalistic and analytical techniques. Build compelling charts, graphics and interactive visualisations that enhance storytelling and audience engagement. Identify trends, anomalies and opportunities within datasets that lead to exclusive reporting. Run and complete both long-term analytical projects and shorter-term assignments driven by current events . Collaborate with reporters, editors and visual journalists across FundFire and Financial Advisor IQ. Support colleagues in applying data journalism procedures and interpreting quantitative information accurately. Use public records, databases, APIs, web scraping techniques and proprietary datasets to uncover new reporting opportunities. Ensure all reporting and analysis meets the highest standards of accuracy, transparency and journalistic integrity. Contribute to the ongoing development of data journalism capabilities across FT Specialist. Required Skills / Experience Demonstrated experience producing data-driven journalism, business reporting or analytical storytelling in a newsroom or comparable environment. Strong interest in data journalism, visual storytelling and financial or business news. Proven track record to identify, analyse and communicate compelling stories through data. Experience using Python or R for data acquisition, cleaning, analysis and reporting. Strong proficiency with Excel and other data analysis tools. Experience working with APIs, databases and web scraping techniques. Knowledge of data visualisation standard processes and experience using tools such as Flourish, Adobe Illustrator, HTML, CSS, JavaScript, D3 or comparable front-end technologies. Exceptional attention to detail and commitment to accuracy. Ability to translate complex quantitative findings into clear and engaging journalism for non-technical audiences. Strong communication, collaboration and project management skills. Experience working successfully within cross-functional teams and time-sensitive environments. What’s in it for You? Our Benefits Our benefits vary by location but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here: https://aboutus.ft.com/careers/benefits. We’ve embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in-person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible. Accessibility We are committed to creating an inclusive and accessible recruitment process. Please let us know if you require any reasonable adjustments or accommodations during the application process or interview stage. If you would like to discuss your requirements, please contact talent@ft.com and a member of our team will be happy to help. Further Information A reasonable estimate of the salary range for this role is $75,000-$95,000. The upper end of the scale reflects pay of someone who comes in at the senior reporter level, with confirmed experience and strong work to show. Earlier career candidates will be considered for reporter-level roles. To ensure pay fairness, the successful candidate will be offered a salary within the estimated salary range based on a number of considerations including but not limited to: skills; experience and training; certifications; and other business and organisational needs. The disclosed range estimate is for our NYC office and has not been adjusted for other locations. This role is part of the FT Specialist US Guild and covered under a collective bargaining agreement with the Writers’ Guild of America East. At the FT, we embrace innovation and the use of technology and appreciate that individuals may use AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is crucial that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com. Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT.", "summaryDescription" : "Data Reporter, Senior Data Reporter at Financial Times. Skills: Data journalism, Data analysis, Visual storytelling, Data visualisation. Develop original, data-driven stories. Source datasets", "postedDate" : "2026-06-16T01:20:06.423", "createdAt" : "2026-06-16T01:20:06.423", "lastUpdated" : "2026-06-16T11:05:22.596", "ingestTimestamp" : "2026-06-16T01:20:06.423", "mongoId" : "6a307653f292fd229c01868b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Data interpretation", "Data visualisation", "Journalistic integrity", "Data journalism", "Data analysis", "Visual storytelling", "Data acquisition", "Data cleaning", "Reporting", "Storytelling", "Visualisation", "Interactive content", "Journalistic techniques", "Analytical projects", "Investigative projects", "Business reporting", "Analytical storytelling", "Project management", "Institutional investing", "Wealth management", "Financial advisory industry", "Flourish", "Adobe Illustrator" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 417.9216, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb6779a4", "title" : "Business Process Analyst - Master Data", "company" : "Mercedes-Benz Research and Development India", "industry" : "Manufacturing", "salary" : { "min" : 1750000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Business Process Analyst - Master Data in Bangalore, India, adjusted for the automotive R&D industry and company size." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "'Embassy Crest' Plot No 5, , EPIP Zone, Phase 1, " ], "timestamp" : "2026-06-16T02:50:23.531", "fingerprint" : "c63c8eddf3ee315a83a55b5ca73eeefd6644e7f10230b0f7ba9464dfc7925d2c", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=877084", "externalId" : "877084", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "MS Dynamics 365", "professionalSkills" : [ "Process management", "System automation", "Data quality" ], "hardSkillsList" : [ "Master data management", "Data validation", "Data maintenance" ], "hardSkills" : [ { "name" : "Master data management", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data maintenance", "level" : "intermediate" } ], "majorSkills" : "Master Data, MS Dynamics 365, Automotive logistics", "majorSkillsList" : [ "Master Data", "MS Dynamics 365", "Automotive logistics" ], "coreResponsibilities" : "Oversee creation of master data, Oversee validation of master data, Oversee maintenance of master data, Monitor daily processes in SMS solution, Identify opportunities for improvement, Provide first-line analysis of issues, Coordinate resolution with IT, Coordinate resolution with consultants, Gather enhancement requests, Document enhancement requests, Prioritize enhancement requests, Align solution changes with global standards, Test changes before release, Validate changes before release, Create process documentation, Maintain process documentation, Create test cases, Maintain test cases, Create training materials, Maintain training materials, Support training of end users, Support onboarding of end users, Support adoption of SMS solution, Contribute business input to improvement discussions, Contribute business input to roadmap discussions", "teamCollaboration" : "Global Governance Owners; IT; Consultants; Business stakeholders", "projectManagementSkills" : [ "Roadmap discussions" ], "domainKnowledge" : "Automotive logistics; Master data objects; Materials master data; Vendor master data; Customer master data; Pricing master data", "domainList" : [ "automotive-logistics", "master-data-objects", "materials-master-data", "vendor-master-data", "customer-master-data", "pricing-master-data" ], "domainSpecificKnowledge" : [ "Automotive logistics", "Master data objects", "Materials master data", "Vendor master data", "Customer master data", "Pricing master data" ], "toolProficiency" : [ "MS Dynamics 365" ], "documentationSkills" : "Process documentation; Test cases; Training materials", "continuousLearning" : "Continuous learning opportunities", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Issue analysis; Root cause analysis", "qualificationsBasic" : "5+ years ERP-driven automotive logistics processes, Hands-on expertise in MS Dynamics 365", "remoteFriendly" : false, "rawDescription" : "About MBRDI Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Business Process Analyst – Master Data Role Overview The Business Process Analyst for Master Data ensures that master data objects within the MS Dynamics 365 –based SMS solution (materials, vendors, customers, and pricing) remain accurate, consistent, and aligned with governance standards across the automotive logistics value chain. The role focuses on maintaining high data quality and supporting system-driven automation for master data processes. Key Responsibilities Oversee creation, validation, and maintenance of material, vendor, and customer master data in MS Dynamics 365. Monitoring daily processes in the SMS solution and identifying opportunities for improvement. Providing first-line analysis of issues, coordinating resolution with IT and consultants. Gathering, documenting, and prioritizing enhancement requests from business stakeholders. Collaborating with Global Governance Owners to align solution changes with global process standards. Testing and validating changes (UAT, data checks) before release. Creating and maintaining process documentation, test cases, and training materials. Supporting training, onboarding, and adoption of the SMS solution by end users. Contributing business input to continuous improvement and roadmap discussions. Must Have Skills Minimum 5+ years’ experience in ERP-driven automotive logistics processes, with hands-on expertise in MS Dynamics 365. Why Join Us? · Be part of a purpose-driven organization that is shaping the future of mobility · Work on cutting-edge technologies and global projects · Thrive in a collaborative, diverse, and inclusive environment · Access world-class infrastructure and continuous learning opportunities Equal Opportunity Statement At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Business Process Analyst - Master Data at Mercedes-Benz Research and Development India. Skills: Master Data, MS Dynamics 365, Automotive logistics. Oversee creation of master data. Oversee validation of master data", "createdAt" : "2026-06-14T18:49:52.853", "lastUpdated" : "2026-06-16T02:50:23.531", "ingestTimestamp" : "2026-06-14T18:49:52.853", "mongoId" : "69ce5e3b9bc74574cb6779a4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Master data management", "Data validation", "Data maintenance", "Master Data", "MS Dynamics 365", "Automotive logistics", "Process management", "System automation", "Data quality", "Roadmap discussions", "Master data objects", "Materials master data", "Vendor master data", "Customer master data", "Pricing master data" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 415.02963, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca3ba74d8ee00a09ad61c", "title" : "Director Consumer Insights", "company" : "Wizards of the Coast", "salary" : { "min" : 170200.0, "max" : 255300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T02:55:37.773", "fingerprint" : "be7c3f0154ffcaf1dcfd8de811af6c39e8cfe4316c3105fc65f0dfd543895ba3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4249817009", "externalId" : "4249817009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That's where you come in! Magic: The Gathering is the world's premier trading card game, with a global community of players, collectors, and fans spanning tabletop and digital experiences. We are seeking a Director of Consumer Insights to serve as a strategic leader and voice of the player within the Magic ecosystem. Embedded within the Magic Product Strategy team, this role is responsible for shaping product, play, and franchise decisions through a deep understanding of players, collectors, and the evolving trading card game landscape. The Director will lead a team of insights professionals and own the end-to-end insights agenda across Magic's portfolio, influencing everything from set design, product design, and packaging to marketing, organized play, and long-term franchise strategy. This role partners closely with Product Strategy, Business and Economics Strategy, Game and Creative Design, Packaging, Marketing, Events, and Franchise teams to ensure that the voice of the player is central to decision-making. The Director will also oversee critical insight systems such as Magic acquisition, play activity tracking, and brand health, while collaborating across the broader Insights organization to deliver best-in-class thinking. The ideal candidate brings a deep passion for Magic: The Gathering, a strong point of view on players and collectors, and the leadership's ability to translate insights into impactful business decisions at the executive level. Key Responsibilities: Strategic Leadership & Partnership Act as the primary insights partner to the Magic Product Strategy team, directly influencing product roadmap, set development, and portfolio strategy. Build strong relationships with senior stakeholders across Game Design, Creative Design, Business and Economics Strategy, Packaging, Marketing, Events/Organized Play, and Franchise to drive insight-led decision making. Serve as a trusted advisor to Magic and Wizards leadership, delivering clear, actionable recommendations to executive audiences. Player, Collector & Ecosystem Understanding Lead the development of a holistic understanding of Magic's audience, including player segmentation, collector behavior, and lifecycle dynamics across formats and play environments. Drive insights into acquisition, onboarding, engagement, and retention, identifying opportunities to grow and sustain the Magic player base. Provide strategic guidance on community health, organized play, and the Local Game Store ecosystem. Insights Systems & Thought Leadership Own and evolve Magic's core insight systems, including Brand Tracker, Play Activity studies, and acquisition measurement frameworks. Translate complex data and research into compelling narratives that inform product design, marketing strategy, and franchise direction. Lead insights for Universes Beyond and Magic IP initiatives, ensuring external partnerships and internal worldbuilding resonate with fans and attract new audiences. Research & Execution Excellence Oversee the design and execution of qualitative and quantitative research across product development, concept testing, packaging, messaging, and campaign effectiveness. Ensure high standards for quality, rigor, and actionability across all deliverables. Integrate primary research with secondary sources and internal analytics to create a comprehensive view of the business. Team Leadership & Development Lead, coach, and develop a high-performing team of ~5 insights managers and analysts, setting a clear vision for how the team drives impact across the Magic business. Foster an inclusive, collaborative, and growth-oriented team culture where diverse perspectives are valued and individuals are empowered to do their best work. Provide ongoing coaching, feedback, and career development to build both technical expertise and strategic influence within the team. Establish high standards for insight quality, storytelling, and stakeholder partnership, ensuring work is actionable and drives measurable business outcomes. Align team priorities and resources to the most critical business needs, enabling agility while maintaining focus on long-term strategic initiatives. Champion ways of working that encourage curiosity, innovation, and continuous improvement across the team. Cross-Functional Collaboration Partner with VIA Hasbro team and other Wizards insights teams to integrate behavioral data, advanced analytics, and broader category learnings into Magic workstreams. Contribute to the evolution of Insights capabilities, tools, and vendor ecosystems across Wizards and Hasbro. Budget & Operations Management Own and manage the Magic Consumer Insights budget, ensuring effective allocation of resources across strategic priorities. Drive financial discipline and decision-making to maximize the impact and efficiency of insights investments. Qualifications and Requirements: 10+ years of experience in Consumer Insights, Market Research, or a related field across gaming, entertainment, or consumer products. Passion for Magic: The Gathering and familiarity with its players, play formats, and ecosystem. Proven ability to translate insights into business impact, influencing product, brand, or customer experience decisions. Experience leading and developing teams, with a focus on coaching and inclusive leadership. Excellent communication and storytelling skills, with the ability to influence senior stakeholders. 5+ years of conducting qualitative, quantitative, and mixed-methods research. Experience managing budgets and prioritizing investments effectively. We encourage candidates from all backgrounds to apply. We value diverse perspectives and recognize that experience can take many forms. Education BA/BS or equivalent experience required, preferably in social sciences, marketing, or a related field. Advanced degree a plus. We are an Equal Opportunity Employer Wizards of the Coast is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator. #Wizards The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $170,200—$255,300 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Director Consumer Insights at Wizards of the Coast", "postedDate" : "2026-06-14T20:07:37.957", "createdAt" : "2026-06-14T20:07:37.957", "lastUpdated" : "2026-06-16T02:55:37.773", "ingestTimestamp" : "2026-06-14T20:07:37.957", "mongoId" : "6a2ca3ba74d8ee00a09ad61c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170200, "salaryAnnualMax" : 255300, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 413.49286, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb02174d8ee00a09d8f96", "title" : "Applied Data Science & Insights Leader - GTM Intelligence Solutions and Technical Success", "company" : "OpenAI", "industry" : "Data Science", "salary" : { "min" : 441000.0, "max" : 515000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-15T12:51:46.275", "fingerprint" : "19f28dac0c4ff5d5a7bbd9d78762a57246c9d4f0b9ec22ecf275ea3cf517fd70", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/OpenAI/93f558c1-c944-4ddc-b102-addc9446de3d/application", "externalId" : "93f558c1-c944-4ddc-b102-addc9446de3d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, R, Scala, Spark, SQL, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills" ], "hardSkillsList" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "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" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Applied Data Science, Insights, GTM Intelligence, Technical Success", "majorSkillsList" : [ "Applied Data Science", "Insights", "GTM Intelligence", "Technical Success" ], "coreResponsibilities" : "Define roadmap, Lead roadmap, Build data science foundation, Develop propensity score models, Build team, Mentor team, Lead team, Set technical standards, Create operating rhythms, Build predictive models, Build causal models, Design next-best-action systems, Identify account opportunities, Identify account risks, Recommend playbooks, Explain recommendations, Partner with leaders, Enumerate playbooks, Enumerate actions, Instrument action tracking, Measure outcomes, Develop customer segmentation, Develop benchmarking frameworks, Create scalable insight products, Embed insight products, Translate field feedback, Translate account patterns", "teamCollaboration" : "Cross-functional leaders; GTM teams; Technical Success teams; Product teams; Engineering teams; RevOps teams; Finance teams", "projectManagementSkills" : [ "Roadmap execution" ], "domainKnowledge" : "Customer intelligence; Customer adoption; Product telemetry; Customer health; Revenue; Support tier; Commercial context; Field activity; Customer lifecycle; GTM strategy; Technical Success; Customer segmentation; Product usage; Customer behavior; Field activity; Customer feedback; B2B business; Customer success; Product gaps; Repeatable playbooks; Customer escalations; Missed opportunities; Customer risk; Expansion potential; Product adoption; Customer lifecycle stage; Intervention effectiveness; Customer outcomes; Customer happy paths; Durable adoption; Customer retention; Sales workflows; Finance workflows; Product workflows; Executive leadership", "domainList" : [ "customer-intelligence", "customer-adoption", "product-telemetry", "customer-health", "revenue", "support-tier", "commercial-context", "field-activity", "customer-lifecycle", "gtm-strategy", "technical-success", "customer-segmentation", "product-usage", "customer-behavior", "customer-feedback", "b2b-business", "customer-success", "product-gaps", "repeatable-playbooks", "customer-escalations", "missed-opportunities", "customer-risk", "expansion-potential", "product-adoption", "customer-lifecycle-stage", "intervention-effectiveness", "customer-outcomes", "customer-happy-paths", "durable-adoption", "customer-retention", "sales-workflows", "finance-workflows", "product-workflows", "executive-leadership" ], "domainSpecificKnowledge" : [ "Customer intelligence", "Customer adoption", "Product telemetry", "Customer health", "Revenue", "Support tier", "Commercial context", "Field activity", "Customer lifecycle", "GTM strategy", "Technical Success", "Customer segmentation", "Product usage", "Customer behavior", "Field activity", "Customer feedback", "B2B business", "Customer success", "Product gaps", "Repeatable playbooks", "Customer escalations", "Missed opportunities", "Customer risk", "Expansion potential", "Product adoption", "Customer lifecycle stage", "Intervention effectiveness", "Customer outcomes", "Customer happy paths", "Durable adoption", "Customer retention", "Sales workflows", "Finance workflows", "Product workflows", "Executive leadership" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Accelerate durable growth; Scale customer adoption; Scale customer expansion; Improve customer outcomes; Move pilots to production; Deepen product usage; Identify high-value use cases; Reduce churn risk; Create faster feedback loop", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT THE TEAM The GTM Data Science team partners with Go-to-Market, Technical Success, Product, Engineering, RevOps, and Strategic Finance to build the shared intelligence layer for OpenAI's B2B business. The team turns product usage, customer behavior, revenue, field activity, and customer feedback into rigorous insight products that help leaders and field teams understand where customers are succeeding, where adoption is blocked, and what actions will accelerate durable growth. We are building systems that make customer intelligence proactive: surfacing risk, expansion potential, product gaps, and repeatable playbooks before they show up as escalations or missed opportunities. ABOUT THE ROLE As the Applied Data Science & Insights Lead for GTM Intelligence Solutions and Technical Success, you will be a hands-on technical leader responsible for shaping how OpenAI measures, understands, and improves customer adoption across our B2B products. You will build AI/ML-powered intelligence products that connect account health, product usage, customer lifecycle, support tier, qualitative sentiment, commercial context, and field actions into a practical operating system for GTM and Technical Success. This role will build the data science foundation for Technical Success: defining the metrics, models, operating insights, and decision systems that help the team scale customer adoption and expansion with rigor. You will also be expected to build and lead a small mighty team over time: setting direction, hiring and developing talent, creating operating cadences, and holding a high bar for technical rigor and business impact. You will lead the development of models, metrics, and decision systems that recommend what GTM and Technical Success teams should do next, explain why, and measure whether those interventions worked. Your work will help customers move from pilots to production, deepen usage across products, identify high-value use cases, reduce churn risk, and create a faster feedback loop from the field back to Product and Research. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. THE VISION - Build a unified GTM intelligence layer that connects product telemetry, customer health, revenue, support tier, lifecycle stage, field activity, and qualitative feedback. - Turn adoption breadth, usage depth, sentiment, and customer maturity signals into next-best-action systems for Technical Success and field teams. - Create a measurement foundation for Technical Success playbooks, including whether recommended actions were taken and whether they improved customer outcomes. - Help OpenAI understand customer happy paths: the use cases, product behaviors, and interventions that lead to durable adoption, expansion, and retention. - Productize insights into workflows used by Technical Success, Sales, RevOps, Finance, Product, and executive leadership. IN THIS ROLE, YOU WILL: - Define and lead the roadmap for GTM Intelligence and Technical Success insight products in partnership with cross-functional leaders. - Build the data science foundation for Technical Success, including core metrics, customer health definitions, intervention measurement, and reusable playbook analytics. - Develop propensity score models for model and product feature adoption, helping Technical Success and GTM identify which customers are most likely to adopt, which interventions can move adoption, and where support should focus. - Build, mentor, and lead a small team of data scientists and cross-functional analytics partners as the GTM Intelligence function scales. - Set technical standards for modeling, metrics, experimentation, documentation, and production readiness across the team's work. - Create team operating rhythms that balance urgent field needs with durable roadmap execution, quality review, and stakeholder alignment. - Build predictive and causal models for customer health, expansion propensity, churn risk, adoption depth, use-case fit, and intervention effectiveness. - Design next-best-action systems that identify account opportunities and risks, recommend playbooks, and explain the evidence behind each recommendation. - Partner with Technical Success leaders to enumerate playbooks and actions, instrument action tracking, and measure outcomes over time. - Develop customer segmentation and benchmarking frameworks across products, industries, personas, support tiers, and lifecycle stages. - Create scalable insight products that are embedded into field workflows rather than living only as one-off analyses or static dashboards. - Translate field feedback and account-level patterns into clear product and GTM recommendations for senior leadership. - Collaborate with Data Engineering and RevOps to improve the data foundations connecting product telemetry, Salesforce, support signals, revenue, and qualitative feedback. - Maintain a high bar for analytical rigor, including causal evaluation, validation, data quality, and clear caveats. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - 10+ years of experience in applied data science, analytics, machine learning, quantitative strategy, or a closely related field. - Deep technical skill in SQL and Python, with the ability to move from raw tables to production-quality models, metrics, and decision systems. - Strong applied experience with statistical modeling, causal inference, machine learning, customer segmentation, churn or health modeling, or recommendation systems. - Experience with propensity score modeling, uplift modeling, or related causal methods for adoption, activation, retention, or product feature usage. - Experience building production or workflow-embedded data products for GTM, sales, customer success, technical success, growth, or enterprise SaaS teams. - Product intuition and business judgment for turning ambiguous questions into repeatable models, tools, metrics, and operating cadences. - Excellent communication skills, including the ability to distill complex analysis into clear recommendations for technical partners, field teams, and executives. - Comfort partnering across technical and non-technical teams, including Product, Engineering, Technical Success, Sales, RevOps, Finance, and Data Engineering. - A track record of operating autonomously in fast-moving environments and raising the quality of how teams use data to make decisions. - Experience leading teams or serving as a technical lead for multi-person data science initiatives, including mentoring, roadmap-setting, and quality review. - Ability to hire, develop, and retain strong data science talent while creating a collaborative, high-accountability team culture. - An advanced degree in a quantitative field, or equivalent practical experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Applied Data Science & Insights Leader - GTM Intelligence Solutions and Technical Success at OpenAI. Skills: Applied Data Science, Insights, GTM Intelligence, Technical Success. Define roadmap. 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