{ "count" : 112104, "data" : [ { "id" : "6a3066edf292fd229cfb7590", "title" : "Senior Manager, People Analytics & Insights", "company" : "SageSure", "industry" : "Insurance", "salary" : { "min" : 158000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager, People Analytics & Insights in Chicago, IL, adjusted for the insurance industry and company size." }, "location" : "Chicago, Illinois, United States", "locations" : [ "Chicago", "Illinois", "United States", "Jersey City", "New Jersey", "United States" ], "timestamp" : "2026-06-16T09:14:34.118", "fingerprint" : "059160d9a661f303c62c7734a96c5e303739bbb36d14035a7480c7f14929b38a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.sagesure.com/careers/current-job-openings/?gh_jid=4686395006", "externalId" : "4686395006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "experienceLevel" : "Manager", "rawDescription" : "Overview: SageSure is seeking a Senior Manager, People Analytics and Insights to build and scale a modern analytics capability within the People function. This role reports to the Director, People Strategy and Operations. This role is responsible for establishing foundational reporting, defining key workforce metrics, and delivering insights that inform strategic decision-making for our business leaders. You will operate as a hands-on builder, creating structure from fragmented data and evolving capabilities over time, including increased automation and more advanced approaches where sensible (e.g., AI-enabled analytics). You will partner closely with People leadership, People Systems, FP Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI—who are tackling the industry’s toughest challenges.     SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work. Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you. 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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. 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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. 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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, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.95 }, { "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. 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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, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa48c", "title" : "Senior Product Manager, Customer Insights", "industry" : "Product", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in the Technology industry in Bulgaria, adjusted for seniority and remote work." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T13:03:47.596", "fingerprint" : "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. Execute product strategy", "postedDate" : "2026-06-15T08:54:19.604", "createdAt" : "2026-06-15T08:54:19.604", "lastUpdated" : "2026-06-16T13:03:47.596", "ingestTimestamp" : "2026-06-16T03:23:34.741", "mongoId" : "6a30511af292fd229cefa48c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "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", "Product strategy", "Roadmap development", "AI-powered insights", "Data modeling", "Scalability considerations", "Product-market fit", "Cross-functional leadership", "Roadmap planning", "Customer Insights", "AI-native analytics", "Insight-driven experiences", "Enterprise administration", "Governance", "Identity management", "Security", "Compliance", "Audit" ], "skillCount" : 35, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30511af292fd229cefa48d", "title" : "Senior Product Manager, Customer Insights", "industry" : "Product", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in the Technology industry in Bulgaria, adjusted for seniority and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T14:16:35.966", "fingerprint" : "56e8fa47f44e1c7b8c9c002705dc5ea8b623e0e0632b525829b26b2b7fa2b4b0", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/9d2c7764-9446-41ad-b871-65cc97ea5795/apply", "externalId" : "9d2c7764-9446-41ad-b871-65cc97ea5795", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Natural language processing", "professionalSkills" : [ "Roadmap development", "Prioritization", "Data architecture", "Metrics design", "Analytical frameworks", "Stakeholder management", "Cross-functional collaboration", "Product strategy" ], "hardSkillsList" : [ "Data modeling", "Instrumentation strategies", "Metrics design", "Data pipelines", "Analytical frameworks", "API design" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Instrumentation strategies", "level" : "intermediate" }, { "name" : "Metrics design", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Analytical frameworks", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" } ], "majorSkills" : "Customer Insights, Data Products, AI-powered insights", "majorSkillsList" : [ "Customer Insights", "Data Products", "AI-powered insights" ], "coreResponsibilities" : "Own Customer Insights product area, Define usage data architecture, Ensure data quality, Ensure data scalability, Align business metrics, Design reporting experiences, Enhance analytics experiences, Design dashboard experiences, Enhance audit logs experiences, Design API experiences, Drive AI-powered insights vision, Implement AI-powered insights, Collaborate with Sales teams, Collaborate with Customer Success teams, Translate insights into narratives, Engage with enterprise stakeholders, Understand stakeholder needs, Validate stakeholder priorities, Ensure solutions meet requirements, Partner with adjacent product teams, Create seamless experiences, Transform business questions, Develop user-centric solutions", "teamCollaboration" : "Cross-functional collaboration; 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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3068adf292fd229cfc508f", "title" : "Senior Analyst, Industry Insights Retailers", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 650000.0, "max" : 950000.0, "currency" : "ZAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Analyst in Retail in Capetown, South Africa, adjusted for seniority and company size." }, "location" : "Capetown, ZA", "locations" : [ "Capetown", "ZA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:24:53.781", "fingerprint" : "e719006ae9e1a5006ff088058f6c0925b68321f4a59af053168bcc5627f1db0e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132167209-senior-analyst-industry-insights-retailers", "externalId" : "744000132167209", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Capetown", "state" : "Western Cape", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-33.9228378,18.4269760" } ], "locationText" : "Capetown, Western Cape, South Africa", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Databricks, Dbt, Fivetran, Airflow, AWS, GCP, Azure, Tableau, Power BI, Looker, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM", "professionalSkills" : [ "Quantitative analysis", "Business intelligence", "Data engineering", "Machine learning", "Data science" ], "hardSkillsList" : [ "Statistical methods", "Data modelling" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Machine learning, Business intelligence", "majorSkillsList" : [ "Data analysis", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain data models, Build and optimize data pipelines, Perform statistical analysis, Develop machine learning models, Create business intelligence dashboards, Collaborate with stakeholders, Present findings to stakeholders, Ensure data quality and integrity", "teamCollaboration" : "Cross-functional teams; 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. 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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. 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We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging data analytics, finance knowledge and cutting-edge technology, we aim to ensure that new and useful data products are continuously ready for research. Do you love the idea of integrating large proprietary data sources into valuable applications? Are you a wizard at transforming ‘messy reality’ into high quality data assets? As a core member of our team, you will collaborate with investment and data experts to tackle challenging problems, and to continuously expand our capabilities in data. Based on the west coast in Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment outcomes and overall success. What You Will Do This is an exciting full-time role for individuals who are enthusiastic about learning the quantitative equity investment management business and excited to tackle a broad range of data, investment, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data analytics and data science skillsets to enable the Quantitative Equity Team’s research. Your role will involve identifying and assessing brand new data, data exploration, and proposing robust ways to integrate data products from many sources. You will be supported with coaching and mentorship from senior members of the team, and we will create the conditions for you to grow your career steadily over time. This is an opportunity for ambitious individuals to drive their career growth in data. While we take the approach of tailoring the career path to individual strengths, we expect successful candidates for this role to develop excellence in the following tasks: Create processes to assess, explore, and link billions of data points. Test structured and unstructured data sets for data quality and reliability. Assess new data opportunities for quality and usefulness. Evaluate your data solutions for sensibility, accuracy, and bias. Collaborate with quantitative researchers – support alpha projects with your data expertise. Collaborate with technology specialists – help trade off application performance and operational feasibility. Support production deployments of your work to ensure long-term reliability. Enable clarity of and access to your work through robust documentation and exposition. Present findings and recommendations to key stakeholders in a clear, concise, and compelling manner. What You Bring Analytical Mindset – You think critically and creatively and are adept at balancing intuition with statistical validation. Financial Knowledge – Desire to acquire the financial context needed to understand your stakeholders and make data decisions with impact. Self-Starter – You are motivated and willing to take personal accountability for quality and timeliness of work. Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts. Time Management – You are able to manage and prioritize multiple ongoing projects. Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline. Completion of a relevant graduate degree is considered an asset. We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range for full-time roles is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter and academic transcripts. #LI-HYBRID #LI-RC1 CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Quantitative Data Analyst at Connor, Clark & Lunn Investment Management. 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Skills: Marketing analytics, Data visualization, A/B testing. Develop and execute marketing strategies. Analyze campaign performance", "postedDate" : "2026-06-16T01:49:38.691", "createdAt" : "2026-06-16T01:49:38.691", "lastUpdated" : "2026-06-16T14:42:48.716", "ingestTimestamp" : "2026-06-16T01:49:38.691", "mongoId" : "6a210e9b74d8ee00a0af8726", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 195000, "salaryAnnualMax" : 295000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "A/B testing", "Data analysis", "Marketing strategy", "Marketing analytics", "Data visualization", "Statistical modeling", "Machine learning", "YouTube marketing", "Digital advertising", "Consumer behavior", "Tableau", "Looker", "Google Analytics" ], "skillCount" : 13, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c2274d8ee00a094c65c", "title" : "Quantitative Equity Analyst", "company" : "Connor, Clark & Lunn Investment Management", "industry" : "FinTech", "salary" : { "min" : 125000.0, "max" : 200000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "timestamp" : "2026-06-16T05:04:26.818", "fingerprint" : "e82eebd1482170b061ef2a188b30356b72d4c7ed4e57d20f5bfef9a25d207f62", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4223791009", "externalId" : "4223791009", "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", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "rawDescription" : "We are looking for a Quantitative Equity Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging finance skills and cutting-edge technology, we ensure data quality, continuous process improvement, and operational excellence. As a core member of our team, you'll collaborate with investment experts to tackle challenging analytical problems, be accountable to ensure accurate and timely trade generation, and drive operational innovation. Based in West Coast Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment engine and overall success. What You Will Do This is an exciting full-time role for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data science and process engineering skillsets to accelerate the Quantitative Equities Team’s various investment functions. Your specialized role may involve building, scaling, managing and/or analyzing our quantitative model, portfolios, data assets and optimizers. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Investment Process Management The team you will be joining is our Investment Process Management (IPM) group within our Quantitative Equities Team. IPM plays a central role in building highly scalable, efficient, and robust process management systems. The processes and infrastructure we maintain are critical in the team’s ability to develop systematic investment insights and generate daily trades to capture these insights in portfolios. The opportunity within the IPM group allows ambitious individuals to drive their career growth within IPM, or across the other functions of the Quantitative Equities Team in Research, Portfolio Construction, or Trading. While we take the approach of tailoring the career path for the individual, we have found our functions to cover two main overarching technical skillsets: Process and Reliability Engineering Design, implement and test production processes to run the alpha and risk, portfolio optimization and market implementation processes. Design robust, high performance and effective process orchestration. Monitor production health and respond to critical issues in a timely manner. Effectively communicate real-time production issues to portfolio managers, traders and researchers. Identify computational bottle necks and improve run speeds in production systems. Collaborate with investment teams to ensure their process needs are being met. Find and evaluate areas for process improvements. Assess and evaluate data quality of production processes. Maintain process repos, clean code and tools within production processes. Data Science Construct and run algorithms to explore and assess data effectively. Validate structured and unstructured data sets for data quality. Design and test data loaders and security matching processes and specifications. Perform data analysis and provide data expertise to support researcher’s projects. Facilitate production machine learning operational pipelines with effective and timely auditing and analysis. Enable accessibility and clarity within our data assets through robust documentation and data scrubbing. Develop robust methodologies for assessing and analyzing data in time critical production environments. Respond to and mitigate vendor data issues effectively in a production setting. Collaborate with cross-functional teams to integrate traditional and alternative data into existing analytical frameworks and decision-making processes. Present findings and recommendations to key stakeholders in a clear, concise, and compelling manner. Reasons to Grow Your Career with Us Impact – We help create opportunities for you to leverage your personal strengths to make a positive impact on our business. Culture – Collaboration and innovation are deeply rooted in our culture. We enjoy working together and align our passions in pursuit of a shared objective in every project we undertake. Development – We create conditions for success tailored to each employee through internally developed career development plans. Mentorship – We believe that developing great people is the key to great success. You will have opportunities to share, hear and learn about career experiences from peers and senior team members. Work-Life Balance – Vancouver is surrounded by water, mountains, and cherry blossoms. We work hard in our professional lives but also create space to enjoy our personal lives. What You Bring Analytical Mindset – You think critically and creatively and are adept at balancing intuition with statistical validation. Financial Knowledge – You possess a thorough understanding of (or strong desire to learn) key drivers of business success, including financial theory, economic models, and corporate financial statements. Self-Starter – You are motivated and willing to take personal accountability for quality and timeliness of work. Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts. Time Management – You have the ability to manage and prioritize multiple ongoing projects and daily responsibilities. Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline. Completion of CFA or relevant graduate degree is considered an asset. Industry Experience – You have a passion for quantitative finance, equity investment, data science or related fields. We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range for full-time roles is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter, and academic transcript. #LI-HYBRID #LI-RC1 CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Quantitative Equity Analyst at Connor, Clark & Lunn Investment Management", "postedDate" : "2026-06-14T21:47:45.754", "createdAt" : "2026-06-14T21:47:45.754", "lastUpdated" : "2026-06-16T05:04:26.818", "ingestTimestamp" : "2026-06-14T21:47:45.754", "mongoId" : "6a2c7c2274d8ee00a094c65c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6d1a74d8ee00a091d392", "title" : "Principal, Insights & Analytics (PR, Social Media, Influencer Marketing)", "company" : "Nintendo of America Inc.", "industry" : "Media", "salary" : { "min" : 145150.0, "max" : 261200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, WA", "locations" : [ "Redmond", "WA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T04:22:15.305", "fingerprint" : "960f4f4d50a121370376c1d9370006050040eec4d7ac1a22082fcd4cf60a6392", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.nintendo.com/?gh_jid=4129354009", "externalId" : "4129354009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Data visualization", "Statistical modeling", "Database management", "ETL processes", "Data warehousing", "Cloud computing" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement BI solutions, Perform statistical analysis, Develop machine learning models, Collaborate with stakeholders, Communicate insights and recommendations, Ensure data quality and integrity, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; 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Present findings", "continuousLearning" : "Stay updated on industry trends", "problemSolvingSkills" : "Data analysis; Quantitative analysis", "qualificationsBasic" : "Bachelor's degree, 5+ years of experience, SQL proficiency, Experience with data visualization tools, Experience with statistical analysis and modeling techniques, Experience with data warehousing concepts", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud data platforms, Experience with ML frameworks, Experience with A/B testing, Experience with causal inference", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Nintendo of America About Nintendo of America: From the launch of the Nintendo Entertainment System™ more than 30 years ago, Nintendo’s mission has been to create smiles through unique entertainment experiences. Here at Nintendo of America Inc., we deliver on this mission by partnering closely with Nintendo Co., Ltd., to bring Nintendo’s iconic and cherished franchises including Mario™, Donkey Kong™, The Legend of Zelda™, Metroid™, Animal Crossing™, Pikmin™ and Splatoon™ across the Americas through our video games, hardware systems, and collaborations with partners on a range of other entertainment initiatives like feature films and theme parks. We are an equal opportunity employer offering a welcoming and inclusive environment in service to one another, our products, and the diverse consumers and communities we call home. For more information about Nintendo, please visit the company’s website at https://www.nintendo.com/. Position Summary: As a subject matter expert, crafts complex scalable business solutions that retrieve and aggregate data from multiple sources to present in a digestible and actionable format for the Nintendo of America Inc. (NOA) Communications team, which includes PR, Organic Social Media, and Influencer Marketing. Delivers recommendations for improvement to all analytic lines of thinking and technical solutions. DESCRIPTION OF DUTIES Responsible for the end-to-end process and analysis of analytics for all functions within the Communications team, including PR, Organic Social Media, and Influencer Marketing. Owner and domain expert of Communications functional channel analytics; provides the company with meaningful insights based on media coverage data, social listening quantitative and qualitative data, organic content performance data, influencer content performance data, sales data, and more. Responsible for analytics tracking including design. Ensures data integrity and accuracy to include documenting and maintain tagging library, data dictionary, and ensuring solutions are aligned with business objectives. Researches, designs, and implements reporting infrastructure and builds reporting framework, inclusive of cadence, purpose, audience, and delivery method that leads to automated and flexible reporting. Designs and builds dashboards, recurring reports for ongoing campaigns, and ad hoc analysis to track key performance indicators and communicates trends effectively. Analyzes and synthesizes multiple data sources to provide actionable insight on campaign strategies and implementation of communications-related tactics for PR, Social Media, and Influencer Marketing. Provides statistical data analysis to support optimization for PR activations, social media content, and influencer marketing partnerships that drive awareness and purchase intent for Nintendo products. Leverages advanced analytical techniques such as predictive modeling to support social commerce objectives. Monitors industry trends, programs, and tools that enhance PR, social media, and influencer marketing activations. Presents program plans, reports, trends analysis, and innovation studies to internal audiences, including executives. SUMMARY OF REQUIREMENTS Minimum of seven (7) years of experience with business analysis. Must have excellent analytical skills and ability to read autonomously and efficiently, sanity check and analyze data, and deliver actionable recommendations. Minimum of five (5) years of experience with analytics tools such as Adobe Analytics, Google Analytics, Sprinklr, CreatorIQ, Quid, VidIQ, Hootsuite, Meltwater. Minimum of five (5) years of experience with advanced functionalities of Excel. Must be proficient with analytic functions such as pivot tables, formulas, and statistical inference. Macros a plus. Experience in working with Data visualization tools such as Tableau, building interactive reports, complex dashboards for different audiences, creating calculated KPIs or metrics by writing complex formulas. Demonstrated strength in Boolean Logic queries to facilitate advanced analytics results. Must be able to quickly learn new analytical tools and database infrastructure. Strong written and verbal communication skills to articulate and present findings to others and translate analytical findings into easily understandable, actionable insights. Experience managing direct reports. Bachelor’s degree in mathematics, computer science, statistics or other quantitative field preferred. Applicants must be legally eligible to work in the United States to be considered. Visa sponsorship is not available for this role. This position is hybrid in Redmond, WA. Hybrid positions require regular onsite work following the schedule and guidelines for their division. This position is not open to fully remote status at this time. This position includes the base pay range listed below, potential for a semi-annual discretionary performance bonus, and a comprehensive benefits package that includes medical, dental, vision, 401(k), and paid time off. Pay Range: $145,150—$261,200 USD", "summaryDescription" : "Principal, Insights & Analytics (PR, Social Media, Influencer Marketing) at Nintendo of America Inc.. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-14T19:16:52.031", "createdAt" : "2026-06-14T19:16:52.031", "lastUpdated" : "2026-06-16T04:22:15.305", "ingestTimestamp" : "2026-06-14T19:16:52.031", "mongoId" : "6a2c6d1a74d8ee00a091d392", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145150, "salaryAnnualMax" : 261200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Data visualization", "Statistical modeling", "Database management", "ETL processes", "Data warehousing", "Cloud computing", "Data science", "Data modeling", "Statistical analysis", "Cloud data stacks", "Statistical methods", "ML frameworks", "BI platforms", "Data modelling", "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", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 50, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "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, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3079f5f292fd229c0365ed", "title" : "Quantitative Portfolio Implementation Analyst", "company" : "Man Group", "industry" : "FinTech", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Quantitative Portfolio Implementation Analyst in Massachusetts, USA, with adjustments for the Financial Services industry and a large company size." }, "location" : "Massachusetts", "locations" : [ "Massachusetts" ], "timestamp" : "2026-06-16T11:33:04.367", "fingerprint" : "0648696c0c236da2f89e083195439ddda04f48311af5fce247e6693f82b0c297", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/mangroup/jobs/4890008101", "externalId" : "4890008101", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Massachusetts", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Massachusetts, United States", "rawDescription" : "About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com * As at 31 December 2025 THE TEAM Man Group's quantitative investment engines, AHL and Numeric, are aligning under Systematic (USD ~138bn AUM). As part of this integration, we are expanding our Investment and Data Implementation (IDI) team, which has supported AHL for many years, into a new Boston-based team supporting the Man Numeric business. The global IDI team spans Hong Kong, Sofia, London and now Boston. The Boston team is responsible for implementing all new business and portfolios (funds, Separately Managed Accounts (SMAs), and investment strategies), maintaining the integrity of systematic models, and steering the long-term development of our trading initiatives. Our mission is to ensure every quantitative strategy is implemented with precision and aligned with its investment objectives, from initial research idea through to the last trade. Though Boston-based and focused primarily on Man Numeric’s content, as part of Systematic, you will be part of a connected global network, sharing tooling, codebase, and implementation capabilities across all four locations. The problems the team solves are diverse, complex, and high-impact. The team is the primary responder when production issues halt the investment managers, requiring rapid diagnosis and resolution without introducing new risks. The team are the operational architects who translate a researcher’s ideal strategy or portfolio into a robust, scalable solution, balancing speed, resilience, and business logic. The team also works closely with other areas such as Portfolio Management and Trading to explain why an algorithm and portfolio optimizer generated specific trades. Finally, we partner with technologists to help design trading architecture that is automated, scalable, and transparent enough for manual intervention when necessary. This role offers exceptional exposure. Man Group's flat structure means your work is widely visible across the group, you will be working with portfolio managers, quantitative researchers, product structuring specialists, and traders, with the opportunity and expectation to contribute, propose solutions, and make decisions regardless of seniority. You’ll be supported throughout and as you build confidence, you will represent the global IDI team on cross-departmental working groups and present findings directly to senior management. THE ROLE We are seeking a highly motivated professional to bridge quantitative research, portfolio management, technology, trading, and middle the ability to interact confidently with portfolio managers and domain experts Dependable judgment under pressure A relentless focus on delivering value to the business and improving implementation processes Advantageous: High level understanding of quantitative investment processes and portfolio construction Experience with portfolio management and/or trading systems, along with proficiency in data analysis and process automation Experience delivering or steering complex projects, such as fund or Separately Managed Account (SMA) launches Commercial experience or a strong interest in using AI tools to drive workflow efficiency and business insights Generalist experience and exposures within buy-side systematic investment (Implementation, Front Office, Middle Office or Trade Operations) Ability to use SQL and an object-oriented language (preferably Python) to investigate data and prototype solutions Proficiency in data reasoning techniques and relevant libraries (e.g., Pandas) The anticipated based salary range for this position is listed below. Compensation packages would also include benefits and a discretionary bonus. This is the base salary range that the Company believes it will pay for this position at the time of this posting based on the location and requirements of the position as well as the skills, qualifications, and experience of the applicant. The Firm reserves the right to modify this pay range at any time. US Pay Range $85,000—$100,000 USD Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.", "summaryDescription" : "Quantitative Portfolio Implementation Analyst at Man Group", "postedDate" : "2026-06-16T01:16:52.116", "createdAt" : "2026-06-16T01:16:52.116", "lastUpdated" : "2026-06-16T11:33:04.367", "ingestTimestamp" : "2026-06-16T01:16:52.116", "mongoId" : "6a3079f5f292fd229c0365ed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c92b974d8ee00a0986682", "title" : "Director, Product Marketing - Customer & Market Insights", "company" : "Attentive", "industry" : "Technology", "salary" : { "min" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T12:05:03.578", "fingerprint" : "56e0466b0be39d50008c8708bb88761eb34262ede646b96d157eb9a6acbf70a9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/attentive/jobs/4282610009", "externalId" : "4282610009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "AI, Gong, Claude, ChatGPT", "professionalSkills" : [ "Market intelligence", "Product strategy", "Go-to-market execution", "Customer insights", "Market research", "Analyst relations", "Competitive intelligence", "Insight generation", "Strategic recommendations" ], "hardSkillsList" : [ "Qualitative research", "Quantitative research", "Win-loss analysis", "Surveys", "Advisory boards", "Market studies", "Competitive analysis", "Strategic planning" ], "softSkillsList" : [ "Leadership", "Mentoring", "Critical thinking" ], "hardSkills" : [ { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Win-loss analysis", "level" : "intermediate" }, { "name" : "Surveys", "level" : "intermediate" }, { "name" : "Advisory boards", "level" : "intermediate" }, { "name" : "Market studies", "level" : "intermediate" }, { "name" : "Competitive analysis", "level" : "intermediate" }, { "name" : "Strategic planning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Critical thinking" } ], "majorSkills" : "Customer Insights, Market Intelligence, Analyst Relations", "majorSkillsList" : [ "Customer Insights", "Market Intelligence", "Analyst Relations" ], "coreResponsibilities" : "Build Voice of the Market Program, Scale Voice of the Market strategy, Capture customer insights, Capture prospect insights, Capture partner insights, Capture analyst insights, Capture industry insights, Develop feedback collection approaches, Synthesize customer feedback, Operationalize customer feedback, Create repeatable programs, Influence product strategy, Influence positioning, Influence messaging, Influence GTM priorities, Serve as expert on customer needs, Serve as expert on buying behavior, Serve as expert on market trends, Serve as expert on emerging opportunities, Own customer insights research, Design qualitative research programs, Execute qualitative research programs, Design quantitative research programs, Execute quantitative research programs, Conduct customer interviews, Conduct win-loss analysis, Conduct surveys, Conduct advisory boards, Conduct market studies, Identify evolving customer needs, Identify unmet opportunities, Develop customer segmentation, Develop buyer insights, Develop market understanding, Translate research findings, Provide actionable recommendations, Lead analyst relations, Develop analyst relations strategy, Build analyst relationships, Manage analyst briefings, Manage analyst inquiries, Manage analyst reports, Manage strategic engagements, Incorporate analyst perspectives, Maximize analyst coverage, Drive competitive intelligence strategy, Own competitive intelligence program, Lead competitive intelligence execution, Build competitor tracking systems, Track competitor strategy, Track competitor product launches, Track competitor messaging, Track competitor pricing, Track competitor partnerships, Track competitor market movements, Deliver competitive insights, Inform sales enablement, Inform product roadmap decisions, Inform executive planning, Develop competitive assessments, Develop strategic recommendations, Build AI-powered market intelligence function, Leverage AI tools, Automate insight collection, Automate insight analysis, Automate insight synthesis, Automate insight reporting, Create scalable systems, Transform customer conversations, Transform analyst feedback, Transform market research, Transform competitive signals, Develop modern programs", "teamCollaboration" : "Connect Product Marketing; Connect Product; Connect Sales; Connect Customer Success; Connect Executive Leadership; Partner with Product; Partner with Customer Success; Partner with Sales; Partner with Communications; Partner with Marketing; Partner with Operations; Partner with Revenue teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "AI marketing; 1:1 personalization; SMS marketing; RCS marketing; Email marketing; Push notifications; Customer relationships; B2B SaaS; Commerce; Marketing technology; Enterprise software", "domainList" : [ "ai-marketing", "1-1-personalization", "sms-marketing", "rcs-marketing", "email-marketing", "push-notifications", "customer-relationships", "b2b-saas", "commerce", "marketing-technology", "enterprise-software" ], "domainSpecificKnowledge" : [ "AI marketing", "1:1 personalization", "SMS marketing", "RCS marketing", "Email marketing", "Push notifications", "Customer relationships", "B2B SaaS", "Commerce", "Marketing technology", "Enterprise software" ], "toolProficiency" : [ "Gong", "Claude", "ChatGPT" ], "communicationSkills" : "Executive presentations; Storytelling", "problemSolvingSkills" : "Analytical skills; Strategic recommendations", "qualificationsBasic" : "Voice of the Market function leadership, Customer needs understanding, Market dynamics translation, Product strategy informing, Go-to-market execution, Customer feedback synthesis, Customer feedback operationalization, Customer needs identification, Market trends identification, Emerging opportunities identification, Analyst relations strategy development, Analyst relationships building, Analyst briefings management, Analyst inquiries management, Analyst reports management, Analyst engagements management, Competitive intelligence vision, Competitive intelligence program leadership, Competitor tracking systems building, AI-powered market intelligence function building", "qualificationsPreferred" : "B2B SaaS experience, Commerce experience, Marketing technology experience, Enterprise software experience, Category creation background, Market development background, Thought leadership initiatives background, Modern research platforms familiarity, Intelligence platforms familiarity, Analytics platforms familiarity, Executive team support experience, Board-level discussions support, Strategic planning processes support", "remoteFriendly" : true, "rawDescription" : "Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index! About the Role We are seeking a strategic and analytically minded Director of Product Marketing, Customer & Market Insights to build and lead our Voice of the Market function. This leader will own the programs, processes, and intelligence systems that help us deeply understand customers, competitors, analysts, and market dynamics—and translate those insights into winning positioning, messaging, thought leadership, product strategy, and go-to-market execution. This role will serve as the connective tissue between Product Marketing, Product, Sales, Customer Success, and Executive Leadership, ensuring that decisions are informed by real customer needs and evolving market conditions. The ideal candidate combines traditional market intelligence expertise with a modern AI-first approach, leveraging technologies such as Gong, Claude, ChatGPT, and other AI-powered research tools to scale insight generation and uncover strategic opportunities. This role will initially manage one direct report, a Senior Product Marketing Manager focused on Competitive Intelligence, with the opportunity to build a broader insights organization over time. What You’ll Accomplish Build and Lead the Voice of the Market Program Establish and scale a company-wide Voice of the Market strategy that captures customer, prospect, partner, analyst, and industry insights. Develop systematic approaches to collecting, synthesizing, and operationalizing customer feedback. Create repeatable programs that ensure customer and market insights directly influence product strategy, positioning, messaging, and GTM priorities. Serve as the organization's expert on customer needs, buying behavior, market trends, and emerging opportunities. Own Customer Insights and Research Design and execute qualitative and quantitative research programs, including customer interviews, win/loss analysis, surveys, advisory boards, and market studies. Partner with Product, Customer Success, and Sales to identify evolving customer needs and unmet opportunities. Develop customer segmentation, buyer insights, and market understanding that inform product and GTM strategy. Translate research findings into actionable recommendations for executives and cross-functional stakeholders. Lead Analyst Relations Develop and execute the company's analyst relations strategy. Build trusted relationships with key industry analysts and influencers. Manage analyst briefings, inquiries, reports, and strategic engagements. Ensure analyst perspectives are incorporated into product strategy, positioning, and executive planning. Partner with Communications and Marketing to maximize analyst coverage and market credibility. Drive Competitive Intelligence Strategy Own the overall competitive intelligence vision and program. Lead and mentor the Senior PMM responsible for day-to-day competitive intelligence execution. Build scalable systems for tracking competitor strategy, product launches, messaging, pricing, partnerships, and market movements. Deliver competitive insights that inform sales enablement, product roadmap decisions, and executive planning. Develop executive-ready competitive assessments and strategic recommendations. Build an AI-Powered Market Intelligence Function Leverage AI tools such as Gong, Claude, ChatGPT, and emerging technologies to automate insight collection, analysis, synthesis, and reporting. Create scalable systems that transform customer conversations, analyst feedback, market research, and competitive signals into actionable intelligence. Partner with Operations and Revenue teams to develop modern workflows that surface insights in real time. Continuously evaluate new technologies and methodologies to increase the speed and quality of market intelligence. Influence Positioning, Messaging, and Thought Leadership Partner with Product Marketing leaders to translate market insights into differentiated positioning and messaging. Identify emerging trends and market shifts that create opportunities for thought leadership. Help shape executive narratives, category creation strategies, and market education efforts. Provide insight-driven recommendations that strengthen the company's market position and competitive advantage. Your Expertise 10+ years of experience in Product Marketing, Market Intelligence, Competitive Intelligence, Analyst Relations, Strategy, or related disciplines. Proven experience building customer insights, market intelligence, or Voice of the Customer/Market programs from the ground up. Strong background in analyst relations and managing relationships with industry analysts. Experience leading competitive intelligence initiatives that drive measurable business impact. Demonstrated success influencing executive decision-making through research and strategic insights. Experience managing and developing high-performing team members. Exceptional communication, storytelling, and executive presentation skills. Strong analytical skills with the ability to connect disparate signals into strategic recommendations. Hands-on experience using AI-powered tools such as Gong, Claude, ChatGPT, and related technologies to accelerate research and insight generation. Ability to thrive in fast-paced, high-growth environments. Preferred Qualifications Experience in B2B SaaS, commerce, marketing technology, or enterprise software. Background in category creation, market development, or thought leadership initiatives. Familiarity with modern research, intelligence, and analytics platforms. Experience supporting executive teams, board-level discussions, and strategic planning processes. You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work. For US based applicants: The US base salary range for this full-time position is $180,000 - $210,000 annually + equity + benefits Our salary ranges are determined by role, level and location #LI-MM1 By applying for this position, your data will be processed as per Attentive's Privacy Policy. Attentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s success Learn more about AWAKE, Attentive’s collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.", "summaryDescription" : "Director, Product Marketing - Customer & Market Insights at Attentive. Skills: Customer Insights, Market Intelligence, Analyst Relations. Build Voice of the Market Program. Scale Voice of the Market strategy", "postedDate" : "2026-06-14T03:48:29.297", "createdAt" : "2026-06-14T03:48:29.297", "lastUpdated" : "2026-06-15T12:05:03.578", "ingestTimestamp" : "2026-06-14T03:48:29.297", "mongoId" : "6a2c92b974d8ee00a0986682", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 210000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Qualitative research", "Quantitative research", "Win-loss analysis", "Surveys", "Advisory boards", "Market studies", "Competitive analysis", "Strategic planning", "Leadership", "Mentoring", "Critical thinking", "Customer Insights", "Market Intelligence", "Analyst Relations", "Market intelligence", "Product strategy", "Go-to-market execution", "Customer insights", "Market research", "Analyst relations", "Competitive intelligence", "Insight generation", "Strategic recommendations", "Roadmap planning", "AI marketing", "1:1 personalization", "SMS marketing", "RCS marketing", "Email marketing", "Push notifications", "Customer relationships", "B2B SaaS", "Commerce", "Marketing technology", "Enterprise software", "Gong", "Claude", "ChatGPT" ], "skillCount" : 38, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "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, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c9ff674d8ee00a09a0efe", "title" : "Analytics Manager, Partner Insights", "company" : "Rula", "industry" : "Finance", "salary" : { "min" : 157250.0, "max" : 175750.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T14:13:36.599", "fingerprint" : "0fc9c58195e0b2bfb049028b1186865badc1f06a7131f7b0349469202156075f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/rula/36c48692-0a06-4d31-971c-63ae1f29d391/application", "externalId" : "36c48692-0a06-4d31-971c-63ae1f29d391", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Dbt, Airflow, Looker, Tableau, Hex", "professionalSkills" : [ "Data storytelling", "Reporting systems design", "Trend analysis", "Cross-functional partnership", "Strategy influence", "Client success support" ], "hardSkillsList" : [ "Quantitative analysis", "Data visualization", "Automation" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Reporting systems, Partner insights", "majorSkillsList" : [ "Data analytics", "Reporting systems", "Partner insights" ], "coreResponsibilities" : "Design reporting systems, Present insights to stakeholders, Automate foundational reports, Dive into trends", "teamCollaboration" : "Cross-functional partner; Internal client success teams; Sales teams", "domainKnowledge" : "Healthcare data; Payer reporting; Health system reporting; Clinical outcomes; Cost of care; Network adequacy; Utilization rates", "domainList" : [ "healthcare-data", "payer-reporting", "health-system-reporting", "clinical-outcomes", "cost-of-care", "network-adequacy", "utilization-rates" ], "domainSpecificKnowledge" : [ "Healthcare data", "Payer reporting", "Health system reporting", "Clinical outcomes", "Cost of care", "Network adequacy", "Utilization rates" ], "toolProficiency" : [ "SQL", "Dbt", "Airflow", "Looker", "Tableau", "Hex" ], "communicationSkills" : "Present insights", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Transform data into stories; Unlock time for deeper trends", "qualificationsBasic" : "5+ years experience, Bachelor's degree, SQL proficiency, Dbt proficiency, Airflow proficiency, Looker proficiency, Tableau proficiency, Hex proficiency, Experience with health plans, Experience with healthcare analytics, Experience with payer reporting, Experience with health-system reporting", "qualificationsPreferred" : "Startup environment experience, Transition manual reporting to automated workflows, Deep understanding of clinical outcomes, Deep understanding of cost of care, Deep understanding of network adequacy, Deep understanding of utilization rates", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We believe that mental health is just as important as physical health. 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. Present insights to stakeholders", "createdAt" : "2026-06-14T09:31:37.505", "lastUpdated" : "2026-06-15T14:13:36.599", "ingestTimestamp" : "2026-06-14T09:31:37.505", "mongoId" : "6a2c9ff674d8ee00a09a0efe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 157250, "salaryAnnualMax" : 175750, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Data visualization", "Automation", "Data analytics", "Reporting systems", "Partner insights", "Data storytelling", "Reporting systems design", "Trend analysis", "Cross-functional partnership", "Strategy influence", "Client success support", "Healthcare data", "Payer reporting", "Health system reporting", "Clinical outcomes", "Cost of care", "Network adequacy", "Utilization rates", "SQL", "Dbt", "Airflow", "Looker", "Tableau", "Hex" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "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, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "69cf3f092beec4dd3d934339", "title" : "Consultant, Analytics & Insights", "company" : "Amazon Advertising LLC", "industry" : "Sales, Advertising, Account Management, Professional Services", "salary" : { "min" : 50000.0, "max" : 195400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T04:39:48.842", "fingerprint" : "e2b37cab20fd5cb9a4e410b3e2257ef368cb9d67aa5a219566ee27dfeeeaa7e6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381284/apply", "externalId" : "3cfa8739-28a1-42fa-b947-45d1e17f1ab9", "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", "technicalSkills" : "SQL, R, Stata, Python", "professionalSkills" : [ "Data analysis", "Client facing", "Marketing strategy", "Brand advertising", "Media sales", "Online advertising" ], "hardSkillsList" : [ "Data analysis", "Complex query writing", "Data translation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Complex query writing", "level" : "intermediate" }, { "name" : "Data translation", "level" : "intermediate" } ], "majorSkills" : "Analytics, Insights, Data analysis, Client consulting", "majorSkillsList" : [ "Analytics", "Insights", "Data analysis", "Client consulting" ], "coreResponsibilities" : "Deliver insights for advertisers, Be an analytical consultant for advertisers, Provide relevant insights for strategy discussions, Provide relevant insights for negotiations, Advance relationships with senior marketing decision makers, Establish oneself as go-to expert, Develop expertise in Amazon’s proprietary metrics, Evolve how we analyze data, Evolve how we communicate data, Drive decisions that increase ease of use of, Drive decisions that increase availability of data, Conduct analyses leveraging untapped datasets, Write documents with recommendations, Influence how partners teams operate", "teamCollaboration" : "Work with sales; Work with product; Work with retail; Work with business partners; Work with internal teams; Work with external partners; Work with partners teams", "domainKnowledge" : "Digital advertising; Online advertising; Performance advertising", "domainList" : [ "digital-advertising", "online-advertising", "performance-advertising" ], "domainSpecificKnowledge" : [ "Digital advertising", "Online advertising", "Performance advertising" ], "communicationSkills" : "Communicate recommendations; Compelling fashion", "problemSolvingSkills" : "Data-driven insights; Actionable insights; Actionable recommendations", "outcomesObjectives" : "Drive their businesses forward; Improve advertiser campaigns; Unlock business opportunities; Increase ease of use of data; Increase availability of data; Measurably more successful with Amazon", "qualificationsBasic" : "Experience translating technical aspects into actionable insights, Advanced SQL & ability to write complex queries, 5+ years digital advertising client-facing experience, 4+ years marketing/brand advertising/media sales experience, Experience conducting sophisticated analysis of complex data, Knowledge of data analysis languages (R, Stata, Python), Experience using customer service skills, Experience using communication skills, Experience using interpersonal skills", "qualificationsPreferred" : "Experience with advertising publishers, Experience with marketing/creative agencies, Master's degree or above in marketing, advertising, or business, 8+ years digital ad sales experience", "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. We are currently looking for a highly skilled and motivated consultant, Analytics & Insights to join the team. This role is a key member of the customer success team at Amazon Advertising, working with sales, product, retail and other Amazon business partners to analyze and improve advertisers’ performance on Amazon, in support of their marketing initiatives. Consultants, Analytics & Insights work with Amazon's unique data and translate it into high-quality and actionable insights and recommendations to improve the effectiveness of advertiser campaigns and unlock business opportunities. Day to day, the activities include analyzing metrics of success for a business or category, developing data-driven insights and recommendations and communicating recommendations in a clear and compelling fashion. Key job responsibilities • Deliver insights for some of the world’s largest advertisers to drive their businesses forward. • Be an analytical consultant for advertisers, by providing relevant insights that will be incorporated into upfront strategy discussions and negotiations. • Advance relationships with senior marketing decision makers (e.g. senior director, c-level) and establish oneself as go-to expert in at least one advanced analytical area of advertising. • Develop great expertise in Amazon’s proprietary metrics, working to constantly evolve how we analyze and communicate data-driven insights to our advertisers. • Drive decisions that increase the ease of use and availability of data to both internal teams and external partners. Conduct analyses which leverage previously untapped datasets. • Write documents with recommendations that influence how partners teams with Amazon Advertising operate, such as Account Management, Sales, or Product. About the team 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. Basic Qualifications: - Experience translating technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders - Experience in advanced SQL & ability to write complex queries from scratch from multiple tables - 5+ years of digital advertising and client facing roles with a focus on data analysis experience - 4+ years of marketing, brand advertising, media sales or online advertising work and close work with senior advertisers and agency stakeholders experience - Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations - Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software - Experience using strong customer service, communication, and interpersonal skills Preferred Qualifications: - Experience with advertising publishers and marketing/creative agencies - Master's degree or above in marketing, advertising, business or equivalent - 8+ years of digital ad sales as an individual contributor selling performances based advertising or similiar offering 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 - 144,500.00 - 195,400.00 USD annually", "summaryDescription" : "Consultant, Analytics & Insights at Amazon Advertising LLC. Skills: Analytics, Insights, Data analysis, Client consulting. Deliver insights for advertisers. Be an analytical consultant for advertisers", "postedDate" : "2026-06-13T09:42:10.264", "createdAt" : "2026-06-13T09:42:10.264", "lastUpdated" : "2026-06-15T04:39:48.842", "ingestTimestamp" : "2026-06-13T09:42:10.264", "mongoId" : "69cf3f092beec4dd3d934339", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381284/apply", "salaryAnnualMin" : 50000, "salaryAnnualMax" : 195400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Complex query writing", "Data translation", "Analytics", "Insights", "Client consulting", "Client facing", "Marketing strategy", "Brand advertising", "Media sales", "Online advertising", "Digital advertising", "Performance advertising" ], "skillCount" : 13, "jobCategory" : "marketing", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2cc34174d8ee00a0a08d64", "title" : "Lead Analyst, Customer Service Analytics", "company" : "Angi", "industry" : "Marketing", "salary" : { "min" : 81000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - United Kingdom - London", "locations" : [ "Hybrid - United Kingdom - London" ], "timestamp" : "2026-06-16T02:56:36.666", "fingerprint" : "04af7a0594c9c07bcce43ba664e7fb4c871be5534bb9ebd0d1e7b7f3ba2f6d95", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/angi/791f4ad6-9262-45cd-a7eb-6a74b6601d70/application", "externalId" : "791f4ad6-9262-45cd-a7eb-6a74b6601d70", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Data Analytics, Customer service analytics, Data visualization, SQL, Python", "professionalSkills" : [ "Stakeholder management", "Data-driven decision making" ], "hardSkillsList" : [ "Customer feedback analysis", "Operational workflow optimization", "Resource allocation", "Workforce planning", "Data analysis", "Statistical analysis" ], "hardSkills" : [ { "name" : "Customer feedback analysis", "level" : "intermediate" }, { "name" : "Operational workflow optimization", "level" : "intermediate" }, { "name" : "Resource allocation", "level" : "intermediate" }, { "name" : "Workforce planning", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "Customer Experience Analytics, Operational Efficiency, Data Analysis, Reporting", "majorSkillsList" : [ "Customer Experience Analytics", "Operational Efficiency", "Data Analysis", "Reporting" ], "coreResponsibilities" : "Leverage analytics to understand customer expectations and experiences, Analyze customer satisfaction metrics (CSAT, NPS, CES, ART,, Identify customer pain points by structuring and analyzing, Address recurring issues proactively to improve satisfaction, Analyze customer service data to balance speed and, Optimize processes and resource allocation to enhance overall, Steward the prioritization of resource allocation across all, Use analytics to guide workforce planning, Continuously identify and implement AI-driven opportunities to streamline, Conduct proactive and reactive analyses of experiments, Provide actionable recommendations based on reliable and statistically, Evaluate outcomes to suggest improvements related to processes,, Establish and monitor key performance indicators (KPIs), Provide regular reports to senior management, Highlight actionable insights and areas for improvement in, Steward data driven decision making by providing insights, Help direct reports grow professionally by mentoring, Identify development needs and creating opportunities", "teamCollaboration" : "Cross-functional teams; Senior management reporting", "domainKnowledge" : "Home services industry; Customer service operations", "domainList" : [ "home-services-industry", "customer-service-operations" ], "domainSpecificKnowledge" : [ "Home services industry", "Customer service operations" ], "toolProficiency" : [ "Customer service platforms", "Looker" ], "communicationSkills" : "Present complex data", "innovationCreativity" : "AI-driven opportunities", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Enhance customer experience; Improve operational productivity; Meet customer needs more effectively; Improve service levels; Improve satisfaction; Enhance overall operational effectiveness; Ensure efficiency and business impact; Improve team productivity; Drive measurable business outcomes; Achieve department or organizational goals", "qualificationsBasic" : "Bachelor's or Master's degree in Data Analytics, Business, Statistics, Economics, or similar, 8+ years of experience in data analytics, Focus on customer experience or operational efficiency, Experience with customer service platforms, Proficiency in customer service analytics tools, Analytical skills with experience in structuring, analyzing, and interpreting large datasets, Ability to generate insights from data and implement strategies that drive measurable business outcomes, Excellent communication and stakeholder management skills, Ability to present complex data in a clear and actionable way, Proficiency in data visualization and analytics tools, Experience in working in customer-centric industries or roles, Focus on improving customer experience", "qualificationsPreferred" : "Salesforce experience is a plus, People management experience is a plus, Experience leveraging AI tools (e.g., Cursor, Claude Code) to optimize workflows is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: - Founded in 1995 as Angie’s List and rebranded in 2021 - Global company with 9 brands in 8 countries and employees worldwide - Homeowners have turned to us for 300 million home projects and counting We are seeking a dynamic Lead Analyst for the Commercial & Analytics - International team to play a pivotal role in enhancing customer experience and operational productivity through data-driven insights. The Lead Analyst will focus on analyzing customer service data, identifying pain points, improving products and services, and optimizing operational workflows. In this role, you will have a direct impact on customer satisfaction, loyalty, and the overall success of our operations. You’ll be responsible for stewarding the allocation of resources, managing customer feedback data, and proactively generating insights to continually enhance processes, products, and people. What you’ll do: - Customer Experience Optimization: - Leverage analytics to understand customer expectations and experiences, enabling the team to tailor services and meet customer needs more effectively. - Analyze customer satisfaction metrics such as CSAT, NPS, CES, ART, AHT, and First Contact Resolution to measure and improve service levels. - Identify customer pain points by structuring and analyzing customer feedback and complaints, addressing recurring issues proactively to improve satisfaction. - Operational Efficiency & Resource Management: - Analyze customer service data to balance speed and quality in operations, optimizing processes and resource allocation to enhance overall operational effectiveness. - Steward the prioritization of resource allocation across all inbound service workloads, outbound calling campaigns, and experiments, ensuring efficiency and business impact. - Use analytics to guide workforce planning, from debt collection efforts to outbound call campaigns and customer retention strategies. - Continuously identify and implement AI-driven opportunities to streamline data analysis and improve team productivity - Data-Driven Experimentation: - Conduct both proactive and reactive analyses of experiments, providing actionable recommendations based on reliable and statistically significant results. - Evaluate outcomes to suggest improvements related to processes, products, or personnel, with a focus on productivity, conversion rates, right-first-time rate, cycle times, and retention. - Performance Metrics & Reporting: - Establish and monitor key performance indicators (KPIs) that measure operational success, such as Average Handle Time (AHT), Cycle Times, and Satisfaction Scores. - Provide regular reports to senior management, highlighting actionable insights and areas for improvement in the customer service experience. - Leadership & Team development: - Steward data driven decision making by providing insights to achieve department or organizational goals. - Help your direct reports grow professionally by mentoring, identifying development needs and creating opportunities. Who you are: - Bachelor’s or Master’s degree in a relevant field (e.g., Data Analytics, Business, Statistics, Economics, or similar). - 8+ years of experience in data analytics, with a focus on customer experience or operational efficiency. - Proven experience with customer service platforms (Salesforce is a plus) and proficiency in customer service analytics tools. - Strong analytical skills with experience in structuring, analyzing, and interpreting large datasets. - Demonstrated ability to generate insights from data and implement strategies that drive measurable business outcomes. - Excellent communication and stakeholder management skills, with the ability to present complex data in a clear and actionable way. - People management experience is a plus. - Experience leveraging AI tools (e.g., Cursor, Claude Code) to optimize workflows is a plus. - Proficiency in data visualization and analytics tools such as Looker, SQL, or Python. - Experience in working in customer-centric industries or roles, with a focus on improving customer experience. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Compensation & Benefits: - The salary band for this position ranges from £81,000 - £110,000, commensurate with experience and qualifications. - Hybrid work environment and home office set-up allowance - Temporary work from abroad policy - Regular team and social events", "summaryDescription" : "Lead Analyst, Customer Service Analytics at Angi. Skills: Customer Experience Analytics, Operational Efficiency, Data Analysis, Reporting. Leverage analytics to understand customer expectations and experiences. Analyze customer satisfaction metrics (CSAT, NPS, CES, ART,", "createdAt" : "2026-06-14T19:31:28.110", "lastUpdated" : "2026-06-16T02:56:36.666", "ingestTimestamp" : "2026-06-14T19:31:28.110", "mongoId" : "6a2cc34174d8ee00a0a08d64", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Customer feedback analysis", "Operational workflow optimization", "Resource allocation", "Workforce planning", "Data analysis", "Statistical analysis", "Customer Experience Analytics", "Operational Efficiency", "Data Analysis", "Reporting", "Stakeholder management", "Data-driven decision making", "Home services industry", "Customer service operations", "Customer service platforms", "Looker" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2b0d0174d8ee00a075f954", "title" : "Commercial Analytics & Insights Manager", "company" : "Monocle", "industry" : "Media", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager in Media in London, UK, adjusted for seniority and company size." }, "location" : "London, GB", "locations" : [ "London", "GB" ], "timestamp" : "2026-06-15T06:52:33.221", "fingerprint" : "05ff013d2102c575cba3ba18c12c00ad71cbb916e1c77a94ab5ae5bde03bb9c5", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://monocle.breezy.hr/p/6fe7d5df077401-commercial-analytics-insights-manager", "externalId" : "6fe7d5df077401", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "rawDescription" : "About Monocle Monocle is an independent media brand that has built a global reputation for its coverage of international affairs, design, travel, fashion and more. 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We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. We combine leading edge quantitative research with state-of-the-art technology to develop our unique algorithmic investment strategies. A culture of innovation, growth and success through collaboration has enabled us to deliver top tier performance for over two decades. What You Will Do As a member of the quantitative research team, you will help tackle a broad array of challenges at the Intersection of finance, data science, and technology. We seek to identify novel predictors of business outcomes and model complex inefficiencies in constantly evolving financial markets. Our focus is on developing cutting edge and uniquely powerful investment insights. This is an exciting role for an individual who is passionate about quantitative research and wants to apply a disciplined and scientific approach to investing. You will work with key decision makers on the team and have a broad range of responsibilities, including: Research and development of new investment models Generating ideas for new investment insights Apply a variety of skills and techniques in finance, data science and statistics Collaborate with our technology, portfolio management and investment process teams to deliver exceptional investment performance What You Bring Domain Expertise – You have a deep understanding of the drivers of business success, securities valuation, and markets. You can effectively apply both creativity and discipline to sourcing and evaluating novel data sets that are useful for predicting the performance of companies and securities. Analytical Mindset – You have experience with producing rigorous quantitative research, particularly in finance, and are adept at balancing intuition with statistical validation. Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science or related discipline. Graduate level studies are valuable in this role. Exceptional achievements and recognition (e.g., research or awards) are helpful in demonstrating your abilities. Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts. We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The annual base salary for this position is $125,000 - $200,000 for new graduates. Our compensation and benefits package includes substantial variable compensation in the form of a year-end bonus, RRSP contribution matching, health benefits, and family building benefits. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter and transcript. Please note, this posting is specifically for the quantitative research group and experience in academic research is usually preferred. #LI-HYBRID #LI-RC1 CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Quantitative Research Analyst at Connor, Clark & Lunn Investment Management. Skills: Quantitative research, Data science, Finance. Research and development of new investment models. Generate ideas for new investment insights", "postedDate" : "2026-06-14T04:00:17.587", "createdAt" : "2026-06-14T04:00:17.587", "lastUpdated" : "2026-06-15T05:00:42.980", "ingestTimestamp" : "2026-06-14T04:00:17.587", "mongoId" : "6a2c7c2274d8ee00a094c65e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Algorithmic strategies", "Predictive modeling", "Quantitative research", "Data science", "Finance", "Securities valuation", "Investment insights", "Financial markets", "Algorithmic investment strategies", "Bloomberg Terminal" ], "skillCount" : 10, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc34174d8ee00a0a08d68", "title" : "Senior Analyst, Commercial & Analytics", "company" : "Angi", "industry" : "Marketing", "salary" : { "min" : 68000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Germany - Berlin", "locations" : [ "Hybrid - Germany - Berlin" ], "timestamp" : "2026-06-15T22:14:04.207", "fingerprint" : "7021ad2de92cd7693a1344b3b42bf46c52370386ad76131cf41ae8d9aa03c1a1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/angi/2c49cb41-7942-41b5-974c-24bde39e221f/application", "externalId" : "2c49cb41-7942-41b5-974c-24bde39e221f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Tableau, Looker, BigQuery", "professionalSkills" : [ "Marketplace strategy", "Pricing strategy", "Promotional strategy", "Quantitative analysis", "Strategic analysis", "Business acumen" ], "hardSkillsList" : [ "Data analysis", "Reporting", "A/B testing", "Process improvement", "Analytical capabilities" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Analytical capabilities", "level" : "intermediate" } ], "majorSkills" : "Commercial strategy, Marketplace analytics, Data insights", "majorSkillsList" : [ "Commercial strategy", "Marketplace analytics", "Data insights" ], "coreResponsibilities" : "Analyze large datasets, Identify trends, Identify patterns, Identify insights, Develop strategic initiatives, Implement strategic initiatives, Develop reports, Maintain reports, Develop dashboards, Maintain dashboards, Develop visualizations, Maintain visualizations, Formulate A/B test frameworks, Identify process improvements, Implement process improvements, Leverage advanced analytical tools, Leverage AI tools, Optimize workflows, Develop recommendations, Deliver recommendations", "teamCollaboration" : "Broader marketing teams; Cross-functional teams; Sales teams; Marketing teams; Finance teams; Operations teams", "projectManagementSkills" : [ "Strategy development", "Project execution" ], "domainKnowledge" : "Two-sided marketplace; Commercial topics; Pricing trends", "domainList" : [ "two-sided-marketplace", "commercial-topics", "pricing-trends" ], "domainSpecificKnowledge" : [ "Two-sided marketplace", "Commercial topics", "Pricing trends" ], "toolProficiency" : [ "Tableau", "Looker", "BigQuery", "SQL" ], "communicationSkills" : "Actionable recommendations; Data-driven insights", "continuousLearning" : "Industry best practices; Emerging pricing trends; Technological advancements", "problemSolvingSkills" : "Interpreting data; Generating qualitative feedback; Evaluating metrics", "outcomesObjectives" : "Optimize customer value; Drive revenue growth; Drive LTV growth; Market expansion; Guide marketplace health", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: - Founded in 1995 as Angie’s List and rebranded in 2021 - Global company with 9 brands in 8 countries and employees worldwide - Homeowners have turned to us for 300 million home projects and counting About the team: We are seeking a Senior Analyst for our Commercial & Analytics team to drive strategic marketplace, pricing, and promotional decisions that optimize customer value. This team manages marketplace strategy across all brands, focusing on revenue growth and balance. You will lead marketplace initiatives and promotional strategies, partnering across the organization to ensure successful execution through quantitative and strategic analysis. This role reports into the Associate Director, Strategic Analytics and can be based out of any of our 4 office locations: Aix-en-Provence, Amsterdam, Berlin and London. What you’ll do: - Analyze large datasets to identify trends, patterns, and insights that inform business decisions. - Collaborate with broader marketing teams to develop and implement strategic initiatives that drive revenue/LTV growth and market expansion. - Develop and maintain comprehensive reports, dashboards, and visualizations to track key performance indicators (KPIs) that guide marketplace health. - Formulate A/B test frameworks to discern the impact of adjustments/new initiatives on marketplace & other business metrics. - Identify and implement process improvements to enhance data accuracy, reporting efficiency, and overall analytical capabilities. - Leverage advanced analytical tools and AI tools to optimize workflows. - Work closely with cross-functional teams including Sales, Marketing, Finance, and Operations to ensure alignment of commercial strategies with overall business objectives. - Develop and deliver clear, actionable recommendations to senior leadership, accompanied by data-driven insights and rationale. - Stay informed about industry best practices, emerging pricing trends, and technological advancements to continuously improve marketplace growth. Who you are: - 6+ years of professional experience as an analyst/senior analyst, preferably in a two-sided marketplace. - Bachelor's or Master’s degree in Business or a related field, with a strong analytical background. - Demonstrated capability to influence stakeholders and manage projects from strategy development through to successful execution. - Proficiency in data analysis & reporting tools (e.g.Tableau, Looker, and BigQuery/SQL, among others). - Comfortable utilizing AI tools to improve efficiencies and integrate their usage in daily work - Strong analytical skills and good at interpreting data, generating qualitative feedback and evaluating metrics to inform decision-making. - Good business acumen with a strong understanding of commercial topics. - Exceptional organizational skills, capable of managing multiple projects in a fast-paced environment. - Experience in campaign management in a customer centric environment is a plus. - Fluent in English, with strong verbal and written communication skills. Compensation & Benefits: - The salary band for this position ranges from €68,000 - €90,000, commensurate with experience and qualifications. - Hybrid work environment and home office set-up allowance - Temporary work from abroad policy - Regular team and social events", "summaryDescription" : "Senior Analyst, Commercial & Analytics at Angi. Skills: Commercial strategy, Marketplace analytics, Data insights. Analyze large datasets. Identify trends", "createdAt" : "2026-06-14T18:50:03.168", "lastUpdated" : "2026-06-15T22:14:04.207", "ingestTimestamp" : "2026-06-14T18:50:03.168", "mongoId" : "6a2cc34174d8ee00a0a08d68", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting", "A/B testing", "Process improvement", "Analytical capabilities", "Commercial strategy", "Marketplace analytics", "Data insights", "Marketplace strategy", "Pricing strategy", "Promotional strategy", "Quantitative analysis", "Strategic analysis", "Business acumen", "Strategy development", "Project execution", "Two-sided marketplace", "Commercial topics", "Pricing trends", "Tableau", "Looker", "BigQuery", "SQL" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cf9a674d8ee00a0a9b501", "title" : "Senior Manager, Strategic Finance- Insights and Analytics", "company" : "Lightspeed", "industry" : "Operations", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager, Strategic Finance- Insights and Analytics in Calgary, Canada, adjusted for the SaaS industry and company size." }, "location" : "Calgary", "locations" : [ "Calgary" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-16T06:17:14.426", "fingerprint" : "bf2eadd45eb20fec05667211e5a65d5f39f14156690c86b9ec9cc0d9c7d703dc", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lightspeedhq/6c5e7594-8c96-4f96-82d5-e9884d61f971/application", "externalId" : "6c5e7594-8c96-4f96-82d5-e9884d61f971", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "51.0456064,-114.0575410" } ], "locationText" : "Calgary, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "domainKnowledge" : "Financial instruments; Regulatory frameworks; Risk methodologies; Quantitative skills", "domainList" : [ "financial-instruments", "regulatory-frameworks", "risk-methodologies", "quantitative-skills" ], "domainSpecificKnowledge" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills" ], "remoteFriendly" : false, "rawDescription" : "Hi there! Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a Senior Manager, Strategic Finance- Insights and Analytics to join the Strategic Finance & Insights team working closely with the CFO and Executive Leadership Team on capital markets strategy, long-range planning, and multi-year business design. This role contributes directly to that work by leading the analytical layer that connects Lightspeed's revenue streams and by holding the FP&A relationship with data and analytics partners across the company. What you’ll be doing: You will lead the cross-functional analytical work that supports executive decision-making and serve as a partner to the Data Office and adjacent data and analytics teams. The team is anchored by senior individual contributors who own the forecasting and modeling for each of Lightspeed's revenue streams. This role works across them to produce analyses, methodology, and insights that no single revenue stream owner is positioned to deliver alone. You will report to the Director, Strategic Finance & Insights. Your responsibilities will include: - Insights and Analysis: Lead the structuring, execution, and delivery of cross-functional analyses spanning all revenue streams (Software, Payments, Capital, and Hardware). Translate variances, structural shifts, and emerging trends across the business into clear narratives for senior finance leadership. - Data Partnership and Stewardship: Serve as the senior FP&A point of contact for the Data Office, analytics teams, and platform owners across the company. Represent FP&A's position on the definition and integrity of finance-critical metrics, contribute to cross-functional alignment on master data management, standardized reporting dimensions, and data governance frameworks, and translate between technical data discussions and finance audiences. - Forecasting Methodology and Accuracy: Support the evolution of Lightspeed's forecasting methodology and the framework used to assess forecasting accuracy. Identify structural sources of variance and contribute to improvements in how the team forecasts the business. - AI and Innovation: Integrate AI tools, automation, and emerging analytical techniques into the team's analytical workflows where they meaningfully improve quality or efficiency. What you need to bring: - Experience & Education: - Bachelor's degree in Finance, Economics, Business, Engineering, or a related quantitative field. - 7+ years of progressive FP&A, strategic finance, or analytical experience, ideally in a multi-product SaaS or payments environment. - Experience with EPM platforms (Pigment, Adaptive, Anaplan, or similar). - Experience at a public company is preferred. - Track record of producing executive-facing analysis across multiple business lines or revenue streams. - Experience partnering with data, analytics, or BI teams as a primary stakeholder. - Experience with or exposure to master data management, data governance frameworks, or standardized reporting dimensions is a bonus. - CPA or CFA designation is a bonus. - Technical & Analytical Skills: - Deep fluency in SaaS metrics: NRR, ARPU, churn, LTV/CAC, Rule of 40, etc. - Strong financial modeling skills in Google Sheets/Excel. - Familiarity with SQL and modern data tooling sufficient to partner with data teams as a peer and understand what good looks like. Hands-on coding proficiency is not required. - Comfortable building structure across large, messy datasets where processes don't yet exist. - AI fluency. You use LLMs, copilots, and automation tools in your actual workflow, not just as a talking point. Excitement about what's next matters as much as what you already know. - Communication & Collaboration: - Ability to translate complex analysis into simple, actionable narratives for non-finance stakeholders. - Comfort operating with ambiguity and making methodology calls with incomplete information. - Cross-functional fluency. You've worked across Data, Accounting, and business teams, not just within Finance. - Experience presenting to and influencing senior leadership, not just producing deliverables for them. You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. ", "summaryDescription" : "Senior Manager, Strategic Finance- Insights and Analytics at Lightspeed", "createdAt" : "2026-06-14T18:35:59.408", "lastUpdated" : "2026-06-16T06:17:14.426", "ingestTimestamp" : "2026-06-14T18:35:59.408", "mongoId" : "6a2cf9a674d8ee00a0a9b501", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "skillCount" : 14, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7c2274d8ee00a094c65d", "title" : "Quantitative Equity Analyst", "company" : "Connor, Clark & Lunn Investment Management", "industry" : "FinTech", "salary" : { "min" : 125000.0, "max" : 200000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "certifications" : [ "CFA" ], "timestamp" : "2026-06-15T07:14:36.772", "fingerprint" : "23f99dcaeae28cdf3eadb256f67fc80e83c18ce04f3c1a1bcf06a56004856462", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4223780009", "externalId" : "4223780009", "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", "technicalSkills" : "Python, R, Scala, Spark, SQL, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Process engineering", "Data analysis", "Data expertise", "Data quality assessment", "Data scrubbing", "Data integration", "Financial theory", "Economic models", "Corporate financial statements" ], "hardSkillsList" : [ "Quantitative analysis", "Statistical validation", "Process management systems", "Algorithmic construction", "Data validation", "Data analysis", "Time series analysis", "Regression", "Classification", "Clustering", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Analytical Mindset", "Collaborative Approach", "Time Management" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical validation", "level" : "intermediate" }, { "name" : "Process management systems", "level" : "intermediate" }, { "name" : "Algorithmic construction", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Time series analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical Mindset" }, { "name" : "Collaborative Approach" }, { "name" : "Time Management" } ], "majorSkills" : "Quantitative finance, Data science, Process engineering, Machine learning", "majorSkillsList" : [ "Quantitative finance", "Data science", "Process engineering", "Machine learning" ], "coreResponsibilities" : "Design production processes, Implement production processes, Test production processes, Design process orchestration, Monitor production health, Respond to critical issues, Communicate production issues, Identify computational bottlenecks, Improve run speeds, Collaborate with investment teams, Meet process needs, Evaluate process improvements, Assess data quality, Maintain process repos, Clean code, Construct algorithms, Run algorithms, Validate data sets, Design data loaders, Test data loaders, Perform data analysis, Provide data expertise, Facilitate ML pipelines, Audit ML pipelines, Analyze ML pipelines, Enable accessibility, Clarify data assets, Scrub data, Develop methodologies, Assess data, Analyze data, Respond to vendor data issues, Mitigate vendor data issues, Integrate data, Present findings, Present recommendations", "teamCollaboration" : "Cross-functional teams; Investment teams; Senior members", "projectManagementSkills" : [ "Agile", "Scrum", "JIRA", "Roadmap planning", "Kanban", "PMP" ], "domainKnowledge" : "Quantitative equity investment management; Investment engine; Alpha; Risk; Portfolio optimization; Market implementation; Quantitative model; Portfolios; Data assets; Optimizers; Systematic investment insights; Vendor data", "domainList" : [ "quantitative-equity-investment-management", "investment-engine", "alpha", "risk", "portfolio-optimization", "market-implementation", "quantitative-model", "portfolios", "data-assets", "optimizers", "systematic-investment-insights", "vendor-data" ], "domainSpecificKnowledge" : [ "Quantitative equity investment management", "Investment engine", "Alpha", "Risk", "Portfolio optimization", "Market implementation", "Quantitative model", "Portfolios", "Data assets", "Optimizers", "Systematic investment insights", "Vendor data" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Executive presentations; Technical documentation; Client meetings", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Mentorship programme; Career development plans", "innovationCreativity" : "Operational innovation; R&D projects; Hackathons; Prototype development; Design thinking", "problemSolvingSkills" : "Root cause analysis; Debugging; Data-driven decision making; Troubleshooting", "outcomesObjectives" : "Accurate trade generation; Timely trade generation", "qualificationsBasic" : "Undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline, SQL proficiency, 5+ years experience", "qualificationsPreferred" : "Completion of CFA, Relevant graduate degree, PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Flexible", "rawDescription" : "We are looking for a Quantitative Equity Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging finance skills and cutting-edge technology, we ensure data quality, continuous process improvement, and operational excellence. As a core member of our team, you'll collaborate with investment experts to tackle challenging analytical problems, be accountable to ensure accurate and timely trade generation, and drive operational innovation. Based in West Coast Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment engine and overall success. What You Will Do This is an exciting full-time role for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data science and process engineering skillsets to accelerate the Quantitative Equities Team’s various investment functions. Your specialized role may involve building, scaling, managing and/or analyzing our quantitative model, portfolios, data assets and optimizers. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Investment Process Management The team you will be joining is our Investment Process Management (IPM) group within our Quantitative Equities Team. IPM plays a central role in building highly scalable, efficient, and robust process management systems. The processes and infrastructure we maintain are critical in the team’s ability to develop systematic investment insights and generate daily trades to capture these insights in portfolios. The opportunity within the IPM group allows ambitious individuals to drive their career growth within IPM, or across the other functions of the Quantitative Equities Team in Research, Portfolio Construction, or Trading. While we take the approach of tailoring the career path for the individual, we have found our functions to cover two main overarching technical skillsets: Process and Reliability Engineering Design, implement and test production processes to run the alpha and risk, portfolio optimization and market implementation processes. Design robust, high performance and effective process orchestration. Monitor production health and respond to critical issues in a timely manner. Effectively communicate real-time production issues to portfolio managers, traders and researchers. Identify computational bottle necks and improve run speeds in production systems. Collaborate with investment teams to ensure their process needs are being met. Find and evaluate areas for process improvements. Assess and evaluate data quality of production processes. Maintain process repos, clean code and tools within production processes. Data Science Construct and run algorithms to explore and assess data effectively. Validate structured and unstructured data sets for data quality. Design and test data loaders and security matching processes and specifications. Perform data analysis and provide data expertise to support researcher’s projects. Facilitate production machine learning operational pipelines with effective and timely auditing and analysis. Enable accessibility and clarity within our data assets through robust documentation and data scrubbing. Develop robust methodologies for assessing and analyzing data in time critical production environments. Respond to and mitigate vendor data issues effectively in a production setting. Collaborate with cross-functional teams to integrate traditional and alternative data into existing analytical frameworks and decision-making processes. Present findings and recommendations to key stakeholders in a clear, concise, and compelling manner. What You Bring Analytical Mindset – You think critically and creatively and are adept at balancing intuition with statistical validation. Financial Knowledge – You possess a thorough understanding of (or strong desire to learn) key drivers of business success, including financial theory, economic models, and corporate financial statements. Self-Starter – You are motivated and willing to take personal accountability for quality and timeliness of work. Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts. Time Management – You have the ability to manage and prioritize multiple ongoing projects and daily responsibilities. Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline. Completion of CFA or relevant graduate degree is considered an asset. Industry Experience – You have a passion for quantitative finance, equity investment, data science or related fields. Reasons to Grow Your Career with Us Impact – We help create opportunities for you to leverage your personal strengths to make a positive impact on our business. Culture – Collaboration and innovation are deeply rooted in our culture. We enjoy working together and align our passions in pursuit of a shared objective in every project we undertake. Development – We create conditions for success tailored to each employee through internally developed career development plans. Mentorship – We believe that developing great people is the key to great success. You will have opportunities to share, hear and learn about career experiences from peers and senior team members. Work-Life Balance – Vancouver is surrounded by water, mountains, and cherry blossoms. We work hard in our professional lives but also create space to enjoy our personal lives. We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range for full-time roles is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter, and academic transcript. #LI-HYBRID #LI-RC1 CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Quantitative Equity Analyst at Connor, Clark & Lunn Investment Management. Skills: Quantitative finance, Data science, Process engineering, Machine learning. Design production processes. 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Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a Senior Manager, Strategic Finance- Insights and Analytics to join the Strategic Finance & Insights team working closely with the CFO and Executive Leadership Team on capital markets strategy, long-range planning, and multi-year business design. This role contributes directly to that work by leading the analytical layer that connects Lightspeed's revenue streams and by holding the FP&A relationship with data and analytics partners across the company. What you’ll be doing: You will lead the cross-functional analytical work that supports executive decision-making and serve as a partner to the Data Office and adjacent data and analytics teams. The team is anchored by senior individual contributors who own the forecasting and modeling for each of Lightspeed's revenue streams. This role works across them to produce analyses, methodology, and insights that no single revenue stream owner is positioned to deliver alone. You will report to the Director, Strategic Finance & Insights. Your responsibilities will include: - Insights and Analysis: Lead the structuring, execution, and delivery of cross-functional analyses spanning all revenue streams (Software, Payments, Capital, and Hardware). Translate variances, structural shifts, and emerging trends across the business into clear narratives for senior finance leadership. - Data Partnership and Stewardship: Serve as the senior FP&A point of contact for the Data Office, analytics teams, and platform owners across the company. Represent FP&A's position on the definition and integrity of finance-critical metrics, contribute to cross-functional alignment on master data management, standardized reporting dimensions, and data governance frameworks, and translate between technical data discussions and finance audiences. - Forecasting Methodology and Accuracy: Support the evolution of Lightspeed's forecasting methodology and the framework used to assess forecasting accuracy. Identify structural sources of variance and contribute to improvements in how the team forecasts the business. - AI and Innovation: Integrate AI tools, automation, and emerging analytical techniques into the team's analytical workflows where they meaningfully improve quality or efficiency. What you need to bring: - Experience & Education: - Bachelor's degree in Finance, Economics, Business, Engineering, or a related quantitative field. - 7+ years of progressive FP&A, strategic finance, or analytical experience, ideally in a multi-product SaaS or payments environment. - Experience with EPM platforms (Pigment, Adaptive, Anaplan, or similar). - Experience at a public company is preferred. - Track record of producing executive-facing analysis across multiple business lines or revenue streams. - Experience partnering with data, analytics, or BI teams as a primary stakeholder. - Experience with or exposure to master data management, data governance frameworks, or standardized reporting dimensions is a bonus. - CPA or CFA designation is a bonus. - Technical & Analytical Skills: - Deep fluency in SaaS metrics: NRR, ARPU, churn, LTV/CAC, Rule of 40, etc. - Strong financial modeling skills in Google Sheets/Excel. - Familiarity with SQL and modern data tooling sufficient to partner with data teams as a peer and understand what good looks like. Hands-on coding proficiency is not required. - Comfortable building structure across large, messy datasets where processes don't yet exist. - AI fluency. You use LLMs, copilots, and automation tools in your actual workflow, not just as a talking point. Excitement about what's next matters as much as what you already know. - Communication & Collaboration: - Ability to translate complex analysis into simple, actionable narratives for non-finance stakeholders. - Comfort operating with ambiguity and making methodology calls with incomplete information. - Cross-functional fluency. You've worked across Data, Accounting, and business teams, not just within Finance. - Experience presenting to and influencing senior leadership, not just producing deliverables for them. You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families - We got you covered! A variety of snacks, coffee, and teas are always accessible and available in the office kitchen .Tuesday's- Thursday's: Lunch is served, and Thursday’s is Happy hours with a variety of drinks and snacks #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. ", "summaryDescription" : "Senior Manager, Strategic Finance- Insights and Analytics at Lightspeed", "createdAt" : "2026-06-14T20:26:54.924", "lastUpdated" : "2026-06-16T00:24:08.921", "ingestTimestamp" : "2026-06-14T20:26:54.924", "mongoId" : "6a2cf9a674d8ee00a0a9b505", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cf9a674d8ee00a0a9b504", "title" : "Senior Manager, Strategic Finance- Insights and Analytics", "company" : "Lightspeed", "industry" : "Operations", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Manager in Strategic Finance- Insights and Analytics at a SaaS company in Vancouver, Canada, adjusted for seniority and industry." }, "location" : "Vancouver", "locations" : [ "Vancouver" ], "timestamp" : "2026-06-16T02:42:21.126", "fingerprint" : "c918e4b0fed79a48361f9395f3a13b8cd34e3d52315ada5836c322318c8cd2c8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lightspeedhq/665b18e9-d46e-4815-b58c-6fd63cf4e05c/application", "externalId" : "665b18e9-d46e-4815-b58c-6fd63cf4e05c", "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", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Hi there! Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a Senior Manager, Strategic Finance- Insights and Analytics to join the Strategic Finance & Insights team working closely with the CFO and Executive Leadership Team on capital markets strategy, long-range planning, and multi-year business design. This role contributes directly to that work by leading the analytical layer that connects Lightspeed's revenue streams and by holding the FP&A relationship with data and analytics partners across the company. What you’ll be doing: You will lead the cross-functional analytical work that supports executive decision-making and serve as a partner to the Data Office and adjacent data and analytics teams. The team is anchored by senior individual contributors who own the forecasting and modeling for each of Lightspeed's revenue streams. This role works across them to produce analyses, methodology, and insights that no single revenue stream owner is positioned to deliver alone. You will report to the Director, Strategic Finance & Insights. Your responsibilities will include: - Insights and Analysis: Lead the structuring, execution, and delivery of cross-functional analyses spanning all revenue streams (Software, Payments, Capital, and Hardware). Translate variances, structural shifts, and emerging trends across the business into clear narratives for senior finance leadership. - Data Partnership and Stewardship: Serve as the senior FP&A point of contact for the Data Office, analytics teams, and platform owners across the company. Represent FP&A's position on the definition and integrity of finance-critical metrics, contribute to cross-functional alignment on master data management, standardized reporting dimensions, and data governance frameworks, and translate between technical data discussions and finance audiences. - Forecasting Methodology and Accuracy: Support the evolution of Lightspeed's forecasting methodology and the framework used to assess forecasting accuracy. Identify structural sources of variance and contribute to improvements in how the team forecasts the business. - AI and Innovation: Integrate AI tools, automation, and emerging analytical techniques into the team's analytical workflows where they meaningfully improve quality or efficiency. What you need to bring: - Experience & Education: - Bachelor's degree in Finance, Economics, Business, Engineering, or a related quantitative field. - 7+ years of progressive FP&A, strategic finance, or analytical experience, ideally in a multi-product SaaS or payments environment. - Experience with EPM platforms (Pigment, Adaptive, Anaplan, or similar). - Experience at a public company is preferred. - Track record of producing executive-facing analysis across multiple business lines or revenue streams. - Experience partnering with data, analytics, or BI teams as a primary stakeholder. - Experience with or exposure to master data management, data governance frameworks, or standardized reporting dimensions is a bonus. - CPA or CFA designation is a bonus. - Technical & Analytical Skills: - Deep fluency in SaaS metrics: NRR, ARPU, churn, LTV/CAC, Rule of 40, etc. - Strong financial modeling skills in Google Sheets/Excel. - Familiarity with SQL and modern data tooling sufficient to partner with data teams as a peer and understand what good looks like. Hands-on coding proficiency is not required. - Comfortable building structure across large, messy datasets where processes don't yet exist. - AI fluency. You use LLMs, copilots, and automation tools in your actual workflow, not just as a talking point. Excitement about what's next matters as much as what you already know. - Communication & Collaboration: - Ability to translate complex analysis into simple, actionable narratives for non-finance stakeholders. - Comfort operating with ambiguity and making methodology calls with incomplete information. - Cross-functional fluency. You've worked across Data, Accounting, and business teams, not just within Finance. - Experience presenting to and influencing senior leadership, not just producing deliverables for them. You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families At Lightspeed, we carefully consider a wide range of factors when determining compensation, including your skill set, qualifications, experience, and market data. These considerations can cause your compensation to vary. We reasonably expect the total compensation for this position to be in the range of $140,000-180,000k Lightspeed also provides a variety of employee benefits including, but not limited to, medical, dental, wellness, life and disability insurance, RRSP plan and match, paid parental leave top-up, and paid time off. Please note that this compensation information is solely for candidates hired to perform work within Ontario and reflects the amount Lightspeed is willing to pay at the time of this posting. This role represents an existing vacancy at Lightspeed. Lightspeed uses artificial intelligence–enabled tools to support certain aspects of the recruitment process; all hiring decisions are made by our recruiting and hiring teams. #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. ", "summaryDescription" : "Senior Manager, Strategic Finance- Insights and Analytics at Lightspeed", "createdAt" : "2026-06-14T19:17:26.883", "lastUpdated" : "2026-06-16T02:42:21.126", "ingestTimestamp" : "2026-06-14T19:17:26.883", "mongoId" : "6a2cf9a674d8ee00a0a9b504", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7c2274d8ee00a094c659", "title" : "Product Analyst, Quantitative Equities", "company" : "Connor, Clark & Lunn Investment Management", "industry" : "FinTech", "salary" : { "min" : 125000.0, "max" : 200000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "certifications" : [ "CFA", "FRM" ], "timestamp" : "2026-06-16T04:05:21.995", "fingerprint" : "0a6e22741b0c6ac623428d3a10d3a5b720daf7eb93b00fbb01b97437031da4c5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4274259009", "externalId" : "4274259009", "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" : 2, "experienceMaxYears" : 5, "technicalSkills" : "Python, R, SQL", "professionalSkills" : [ "Quantitative analysis", "Financial modeling", "Data analysis" ], "hardSkillsList" : [ "Quantitative analysis", "Financial modeling", "Data analysis" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Quantitative analysis, Financial modeling, Data analysis", "majorSkillsList" : [ "Quantitative analysis", "Financial modeling", "Data analysis" ], "coreResponsibilities" : "Develop and maintain quantitative models, Perform data analysis, Generate reports, Support trading strategies, Conduct market research, Collaborate with portfolio managers, Assist with risk management", "teamCollaboration" : "Portfolio managers; Traders; Risk management team", "domainKnowledge" : "Equities; Fixed income; Derivatives; Risk management; Quantitative finance", "domainList" : [ "equities", "fixed-income", "derivatives", "risk-management", "quantitative-finance" ], "domainSpecificKnowledge" : [ "Equities", "Fixed income", "Derivatives", "Risk management", "Quantitative finance" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Report generation; Presentation skills", "documentationSkills" : "Model documentation", "problemSolvingSkills" : "Quantitative analysis; Data analysis", "outcomesObjectives" : "Enhance investment strategies; Improve risk-adjusted returns; Provide timely market insights", "qualificationsBasic" : "2+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, CFA charterholder preferred, FRM certification preferred, Experience with Python preferred, Experience with R preferred, Experience with SQL preferred, Experience with Bloomberg Terminal preferred, Experience with Reuters Eikon preferred, Experience with FactSet preferred", "remoteFriendly" : false, "rawDescription" : "We are looking for a Product Analyst to support our globally recognized quantitative investment platform. We combine quantitative research with leading-edge technology to develop differentiated algorithmic investment strategies. A culture of innovation, growth and success through collaboration and mutual respect has enabled us to deliver top tier performance for over two decades. Today, our clients entrust us with over US$60 billion in assets under management across a range of investment mandates. The successful candidate will contribute directly to analysis and research that translate a quantitative investment process into clear, credible content for institutional investors. This is a high-impact role for someone who combines technical depth, sound judgment, and strong communication skills. What You Will Do Working closely with the Quantitative Equity, Client Solutions, and Institutional Sales teams, the Product Analyst will support a broad range of activities, including: Investment Content Development – Develop materials that resonate with internal/external stakeholders by clearly and succinctly relating a complex investment process to developments in markets and portfolios. Business Development – Support initiatives that contribute to the long-term growth and success of the Quantitative Equity platform. Cross-Team Engagement – Build strong relationships with internal stakeholders in order to improve systems, processes, and communications across teams. External Presence – Represent the Quantitative Equity team in meetings with institutional clients, prospects, and consultants. What You Bring Academic background in finance, economics, statistics, mathematics, engineering, data science or a related quantitative discipline. 2 – 5 years of work experience on a quantitative or systematic investment team. Working understanding of factor investing frameworks, portfolio construction and optimization principles, performance attribution and risk decomposition, and empirical research methods. Demonstrated ability to critically and creatively analyze large financial datasets, with a high level of attention to detail. Experience developing external-facing analysis or thought leadership, and ideally presenting this content to stakeholders. Exceptional written and verbal communication skills, with the ability to explain complex quantitative concepts clearly and concisely. A collaborative spirit that enables successful working relationships with a large number of internal and external stakeholders. CFA designation or progress toward completion is an asset. We welcome applications from candidates with different levels of experience. The base salary range is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter and academic transcripts. We thank all applicants for their interest, however, only those selected for an interview will be contacted. No telephone calls or agencies will be accepted. Successful applicants must be eligible to work in Canada on their start date. CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Product Analyst, Quantitative Equities at Connor, Clark & Lunn Investment Management. Skills: Quantitative analysis, Financial modeling, Data analysis. Develop and maintain quantitative models. 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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", "Airflow", "Dbt Cloud", "Delta Lake", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 52, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304ff3f292fd229ceeb334", "title" : "Sr Manager, Distribution Insights and Analytics", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 120000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:45:12.856", "fingerprint" : "55427dd654eb7d917189288e6c25472957d891875ce5f91427c51d29ab5b8218", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132217389-sr-manager-distribution-insights-and-analytics", "externalId" : "744000132217389", "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" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data modeling", "Statistical methods", "Machine learning", "Data engineering", "Business intelligence", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and deploy machine learning models, Create and manage BI dashboards, Perform data analysis and generate insights, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Stay current with industry trends and technologies", "teamCollaboration" : "Cross-functional teams; 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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’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ UK Remote | \uD83D\uDCB0 £32,900 - £44,600 (40 hours) + Incentive Awards tied to your performance + Benefits | Hear from the team ✨ Our Customer Insights team The Customer Insights team is responsible for providing actionable, multi-source insights into our customers’ support experiences, and sharing these with Ops leadership, domains and product teams to help ensure we create the right action plans and roadmaps to deliver great experiences to all Monzo customers. In order to do this, stakeholders require data led, actionable insights on where we are meeting our customer's expectations and where we can improve. As a Customer Insights Analyst you’ll analyse the sources we have available to understand our customers perception of their experience (e. g. CSAT, complaints, expressions of dissatisfaction) to spot themes and perform root cause analysis, sharing your findings with stakeholders and tracking how opportunities to improve are being included in appropriate plans (e. g. domain action plans, product roadmaps or quick fix lists). You’ll play a key role by... Reviewing our key CX metrics each month across CSAT, Complaints and other available sources to identify trends/key drivers of the metrics and areas where further analysis is needed Set up ways to repeat this with low effort (e. g. dashboards, training ML models etc) Deep diving into identified areas of interest to find root causes within specific or many customer journeys, across product, processes and customer support delivery - this might involve review of customer cases, or shadowing of customer support agents. Share findings in relevant forums to enable business leaders to understand their areas performance and opportunity areas. Keep an overview of root cause issues identified, and track whether required improvements/opportunities have been added to owners action plans (e. g. domain continuous improvement lists, product squads roadmaps or quick fix lists) Providing recommendations which can be shared with our product and data teams on how our data and feedback sources can be improved to enhance future insights Providing insight to our Operational Teams that help shape the coaching and training of Customer Support Team members We’d love to hear from you if… You have great data analytical skills - you’re comfortable manipulating data in Looker, or other data platforms and using new tech with training. You're a critical thinker and are able to identify the root cause of an issue along with it's compounding factors. You are naturally curious about both data and process and look for new ways to improve both. You're passionate about improving customer experiences. You’re able to distill complex findings into simple, actionable summaries. You're able to confidently communicate and present those finding to a range of stakeholders. What’s in it for you \uD83D\uDCB0£32,900 - £44,600 (40 hours) + Incentive Awards tied to your performance \uD83D\uDCCDRemote (UK) \uD83D\uDCDA£1,000 learning budget each year to use on books, training courses and conferences. \uD83C\uDFE1We will set you up to work from home; all employees are given MacBooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits. \uD83C\uDF08 The application journey has the following key steps Application questions. Call with a Recruiter Competency-based Interview to discuss your previous experience and technical knowledge If you pass the above interview, you will be invited back for a Values and a Task This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. ⏳ We’ll close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. #LI-REMOTE #LI-NEM01 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. 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Enhance customer segmentation", "qualificationsBasic" : "5+ years of experience in marketing analytics, Proficiency in SQL, Experience with data visualization tools, Experience with A/B testing", "qualificationsPreferred" : "Master's degree preferred, Experience with Python or R, Experience with statistical modeling, Experience with cloud data platforms, Experience with ML frameworks", "rawDescription" : "At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions. The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us! Role Summary SolarWinds, a leader in IT management software, is seeking a Staff Marketing Analytics professional to join our Marketing Analytics team. This highly visible role partners closely with senior marketing leaders to translate complex data into actionable business strategies that drive growth and optimize marketing performance. The ideal candidate combines deep marketing analytics expertise with strong executive presence, business acumen, and intellectual curiosity. Success in this role requires the ability to influence cross-functional stakeholders, present insights with clarity to leadership audiences, and connect analytical findings to strategic business outcomes. Location: Austin, TX (3 days in office) Relocation assistance is not available for this role. Key Responsibilities Partner with marketing leadership to evaluate weekly and monthly performance against company objectives, identify trends, and recommend actions to improve results. Serve as a strategic thought partner to senior stakeholders by translating data into clear business insights and executive-ready recommendations. Identify critical business data needs and convert them into well-defined requirements for analytics and data engineering teams to develop scalable solutions. Analyze customer behavior and marketing performance across the full funnel by combining data from platforms such as Adobe Analytics, Marketo, Salesforce, and Tableau. Drive continuous improvement of Conversion Rate Optimization (CRO) initiatives through A/B test measurement, experiment analysis, and data-driven recommendations. Conduct ad hoc analyses and deep dives to uncover opportunities, risks, and strategic insights. Present complex analytical findings to both technical and non-technical audiences, tailoring recommendations appropriately for executives, marketers, and cross-functional partners. Influence decision-making by balancing analytical rigor with practical business considerations. Required Qualifications 5+ years of experience in marketing analytics with demonstrated impact on business performance. Deep understanding of marketing analytics, including: Data capture and integration across marketing technologies, Attribution and ROI measurement, Performance reporting, Translating analytical outputs into business recommendations. Proven experience partnering with senior leaders and cross-functional stakeholders, with the confidence and executive presence to influence decisions. Strong business acumen and intellectual curiosity, with the ability to ask thoughtful questions and connect analytics to broader organizational goals. Exceptional communication and storytelling skills, including experience presenting insights and recommendations to executive audiences. Minimum 2 years of recent experience with Tableau, Power BI, or comparable visualization tools. Minimum 2 years of recent experience with Adobe Analytics, Google Analytics, or similar web analytics platforms. Strong analytical and problem-solving skills with experience using SQL, Python, R, or comparable tools for data exploration and analysis. SQL preferred. Excellent attention to detail, documentation practices, data validation, and self-audit capabilities. Preferred Strong executive presence and polished communication skills. Experience influencing and partnering with senior leadership teams. The ability to synthesize complex analyses into clear, actionable recommendations. Solid business judgment and comfort navigating cross-functional environments. Intellectual curiosity and a proactive approach to uncovering opportunities through data. A consultative mindset focused on driving outcomes, not simply reporting metrics. SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law. All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice", "summaryDescription" : "Staff Marketing Analytics at SolarWinds. Skills: Marketing analytics, Data visualization, Statistical modeling, Machine learning. Develop and maintain marketing analytics dashboards. Analyze marketing campaign performance", "postedDate" : "2026-06-14T20:13:46.732", "createdAt" : "2026-06-14T20:13:46.732", "lastUpdated" : "2026-06-15T23:02:35.510", "ingestTimestamp" : "2026-06-14T20:13:46.732", "mongoId" : "6a2c93eb74d8ee00a0989441", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Marketing analytics", "SQL", "Data visualization", "A/B testing", "Statistical modeling", "Machine learning", "Data modeling", "Statistical analysis", "Experiment design", "Data storytelling", "Customer behavior", "Campaign performance", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc34174d8ee00a0a08d60", "title" : "Lead Analyst, Customer Service Analytics", "company" : "Angi", "industry" : "Marketing", "salary" : { "min" : 81000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Germany - Berlin", "locations" : [ "Hybrid - Germany - Berlin" ], "timestamp" : "2026-06-15T12:11:40.361", "fingerprint" : "31c011adf0fe9064999ee210f7e521c2953035a2e1deb15757e3bb57cea892ff", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/angi/7b3c518f-3f8c-448a-8141-657122f1cd5b/application", "externalId" : "7b3c518f-3f8c-448a-8141-657122f1cd5b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Data Analytics, SQL, Python", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Data-driven decision making" ], "hardSkillsList" : [ "Customer feedback analysis", "Operational workflow optimization", "Workforce planning", "Data visualization", "Statistical analysis" ], "hardSkills" : [ { "name" : "Customer feedback analysis", "level" : "intermediate" }, { "name" : "Operational workflow optimization", "level" : "intermediate" }, { "name" : "Workforce planning", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "Customer Experience Optimization, Operational Efficiency, Data-Driven Experimentation, Performance Metrics Reporting", "majorSkillsList" : [ "Customer Experience Optimization", "Operational Efficiency", "Data-Driven Experimentation", "Performance Metrics Reporting" ], "coreResponsibilities" : "Leverage analytics for customer expectations, Analyze customer satisfaction metrics, Identify customer pain points, Analyze customer service data, Steward resource allocation prioritization, Guide workforce planning, Identify AI-driven opportunities, Conduct analyses of experiments, Evaluate outcomes, Establish performance indicators, Monitor key performance indicators, Provide regular reports, Steward data driven decision making, Help direct reports grow", "teamCollaboration" : "Cross-functional teams; Senior management reporting", "domainKnowledge" : "Home services industry; Customer service analytics", "domainList" : [ "home-services-industry", "customer-service-analytics" ], "domainSpecificKnowledge" : [ "Home services industry", "Customer service analytics" ], "toolProficiency" : [ "Customer service platforms", "Looker", "SQL", "Python", "AI tools" ], "communicationSkills" : "Present complex data", "innovationCreativity" : "AI-driven opportunities", "problemSolvingSkills" : "Identify pain points; Proactive issue resolution; Generate insights; Actionable recommendations", "outcomesObjectives" : "Enhance customer experience; Improve operational productivity; Meet customer needs effectively; Improve service levels; Improve satisfaction; Enhance operational effectiveness; Ensure efficiency and business impact; Streamline data analysis; Improve team productivity; Drive measurable business outcomes; Improve processes; Improve products; Improve personnel; Achieve department goals; Achieve organizational goals", "qualificationsBasic" : "Bachelor's or Master's degree, 8+ years data analytics experience, Customer service platforms experience, Customer service analytics tools proficiency, Analytical skills, Structure, analyze, interpret datasets, Generate insights from data, Implement strategies, Communication skills, Stakeholder management skills, Present complex data clearly", "qualificationsPreferred" : "Salesforce experience is a plus, People management experience is a plus, Leveraging AI tools is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: - Founded in 1995 as Angie’s List and rebranded in 2021 - Global company with 9 brands in 8 countries and employees worldwide - Homeowners have turned to us for 300 million home projects and counting We are seeking a dynamic Lead Analyst for the Commercial & Analytics - International team to play a pivotal role in enhancing customer experience and operational productivity through data-driven insights. The Lead Analyst will focus on analyzing customer service data, identifying pain points, improving products and services, and optimizing operational workflows. In this role, you will have a direct impact on customer satisfaction, loyalty, and the overall success of our operations. You’ll be responsible for stewarding the allocation of resources, managing customer feedback data, and proactively generating insights to continually enhance processes, products, and people. What you’ll do: - Customer Experience Optimization: - Leverage analytics to understand customer expectations and experiences, enabling the team to tailor services and meet customer needs more effectively. - Analyze customer satisfaction metrics such as CSAT, NPS, CES, ART, AHT, and First Contact Resolution to measure and improve service levels. - Identify customer pain points by structuring and analyzing customer feedback and complaints, addressing recurring issues proactively to improve satisfaction. - Operational Efficiency & Resource Management: - Analyze customer service data to balance speed and quality in operations, optimizing processes and resource allocation to enhance overall operational effectiveness. - Steward the prioritization of resource allocation across all inbound service workloads, outbound calling campaigns, and experiments, ensuring efficiency and business impact. - Use analytics to guide workforce planning, from debt collection efforts to outbound call campaigns and customer retention strategies. - Continuously identify and implement AI-driven opportunities to streamline data analysis and improve team productivity - Data-Driven Experimentation: - Conduct both proactive and reactive analyses of experiments, providing actionable recommendations based on reliable and statistically significant results. - Evaluate outcomes to suggest improvements related to processes, products, or personnel, with a focus on productivity, conversion rates, right-first-time rate, cycle times, and retention. - Performance Metrics & Reporting: - Establish and monitor key performance indicators (KPIs) that measure operational success, such as Average Handle Time (AHT), Cycle Times, and Satisfaction Scores. - Provide regular reports to senior management, highlighting actionable insights and areas for improvement in the customer service experience. - Leadership & Team development: - Steward data driven decision making by providing insights to achieve department or organizational goals. - Help your direct reports grow professionally by mentoring, identifying development needs and creating opportunities. Who you are: - Bachelor’s or Master’s degree in a relevant field (e.g., Data Analytics, Business, Statistics, Economics, or similar). - 8+ years of experience in data analytics, with a focus on customer experience or operational efficiency. - Proven experience with customer service platforms (Salesforce is a plus) and proficiency in customer service analytics tools. - Strong analytical skills with experience in structuring, analyzing, and interpreting large datasets. - Demonstrated ability to generate insights from data and implement strategies that drive measurable business outcomes. - Excellent communication and stakeholder management skills, with the ability to present complex data in a clear and actionable way. - People management experience is a plus. - Experience leveraging AI tools (e.g., Cursor, Claude Code) to optimize workflows is a plus. - Proficiency in data visualization and analytics tools such as Looker, SQL, or Python. - Experience in working in customer-centric industries or roles, with a focus on improving customer experience. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Compensation & Benefits: - The salary band for this position ranges from €81,000 - €110,000, commensurate with experience and qualifications. - Hybrid work environment and home office set-up allowance - Temporary work from abroad policy - Regular team and social events", "summaryDescription" : "Lead Analyst, Customer Service Analytics at Angi. Skills: Customer Experience Optimization, Operational Efficiency, Data-Driven Experimentation, Performance Metrics Reporting. Leverage analytics for customer expectations. Analyze customer satisfaction metrics", "createdAt" : "2026-06-14T04:47:29.005", "lastUpdated" : "2026-06-15T12:11:40.361", "ingestTimestamp" : "2026-06-14T04:47:29.005", "mongoId" : "6a2cc34174d8ee00a0a08d60", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Customer feedback analysis", "Operational workflow optimization", "Workforce planning", "Data visualization", "Statistical analysis", "Customer Experience Optimization", "Operational Efficiency", "Data-Driven Experimentation", "Performance Metrics Reporting", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Data-driven decision making", "Home services industry", "Customer service analytics", "Customer service platforms", "Looker", "SQL", "Python", "AI tools" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb00c74d8ee00a09d8a24", "title" : "Marketing Analytics Lead", "company" : "Hostinger", "industry" : "Revenue & Data", "salary" : { "min" : 6000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vilnius", "locations" : [ "Vilnius", "Kaunas" ], "timestamp" : "2026-06-15T21:50:22.493", "fingerprint" : "7ad60b110ab202f295d93dc2e4bf703557a4149ef2e51d0f4a2b9324d731f9cf", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hostinger/c29a806f-503f-47a8-9ac7-cf3b6b0c1abd/application", "externalId" : "c29a806f-503f-47a8-9ac7-cf3b6b0c1abd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Tableau", "professionalSkills" : [ "Data analysis", "Business decisions", "Stakeholder management" ], "hardSkillsList" : [ "Data analytics", "Data visualization" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Marketing analytics, Team building, Data-driven decision making", "majorSkillsList" : [ "Marketing analytics", "Team building", "Data-driven decision making" ], "coreResponsibilities" : "Set standard for data-driven decision-making, Uphold standard for data-driven decision-making, Ensure marketing strategies are backed by data, Ensure marketing decisions are backed by data, Lead execution of marketing analytics projects, Translate raw data into growth opportunities, Build a team, Hire analysts, Onboard analysts, Mentor analysts, Inspire analysts, Foster a culture, Collaborate with marketing leaders, Align analytical roadmaps with goals, Take ownership of delivery lifecycle, Refine complex requirements, Prioritize backlog, Ensure working on highest impact bets, Iterate on team setup, Iterate on ways of work, Integrate AI, Integrate emerging technologies, Test decentralised leadership concepts, Go full agile, Reinvent the playbook", "teamCollaboration" : "Collaborate with marketing leaders; Collaborate across seniority levels; Bridge gap between technical colleagues; Bridge gap between non-technical colleagues", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Marketing fundamentals; Marketing attribution concepts", "domainList" : [ "marketing-fundamentals", "marketing-attribution-concepts" ], "domainSpecificKnowledge" : [ "Marketing fundamentals", "Marketing attribution concepts" ], "toolProficiency" : [ "Tableau" ], "continuousLearning" : "Access to Reforge; Access to Scribd; Global conferences; Physical libraries; Digital libraries; Mentoring through TesoXchange", "innovationCreativity" : "Integrate AI; Integrate emerging technologies; Test decentralised leadership concepts; Go full agile; Reinvent the playbook", "problemSolvingSkills" : "Data analysis; Translate complex data", "qualificationsBasic" : "Proven hiring skills, Proven onboarding skills, Proven leadership skills, Extensive hands-on data analytics experience, Proficiency in SQL, Proficiency in data visualization tools, Business acumen, Stakeholder management experience", "qualificationsPreferred" : "Knowledge of marketing attribution concepts, Interest in marketing attribution concepts, Tableau proficiency", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Join Hostinger, and we’ll grow fast! \uD83D\uDE80 We’re shaping the future of online success - powered by AI and driven by people. With 900+ talented professionals and over 5 million clients in 150 countries, we help creators and entrepreneurs bring their ideas to life faster and easier than ever before. Our mission: To provide tools that help individuals and small businesses succeed online faster and easier. Our culture: Guided by 10 company principles https://www.hostinger.com/principles. Our formula for success: Customer obsession, innovative products, and talented teams. As a Marketing Analytics Lead, you won’t just support our marketing analytics strategy - you will create and implement it. You will build and empower a team of high-caliber analysts to transform complex datasets into competitive intelligence that fuels our global growth. By owning the standard for data-driven decision-making, you will raise the bar for speed, precision and impact across Hostinger's multi-channel operation - from Affiliates and Influencers to PPC and Organic. Sounds like an exciting challenge? Let us meet and discuss how you can help scale Hostinger even further. Your day-to-day - Set and uphold the standard for data-driven decision-making, ensuring our marketing strategies and decisions are backed by data. - Lead the execution of marketing analytics projects, translating raw data into growth opportunities. - Build a team better than yourself - hire, onboard, mentor and inspire a squad of high-performing analysts, fostering a culture where technical mastery intersects curiosity and drive. - Collaborate directly with marketing leaders (Affiliates, Influencers, PPC, SEO, Product Marketing Managers and other) to align analytical roadmaps with our goals. - Take full ownership of delivery lifecycle - from refining complex requirements to prioritizing the backlog, constantly ensuring we're always working on the highest impact bets. - Keep on iterating in terms of team setup and ways of work - integrate AI or other emerging technologies, test decentralised leadership concepts or go full agile - freedom to reinvent the playbook. Your skills and experience - Proven hiring, onboarding and leadership skills with a track record of building environments where people perform at their peak. - A relentless drive for achieving ambitious goals through data analysis, together with uncompromising standards for quality and speed of delivery. - Solid understanding of marketing fundamentals, data signatures of different channels and marketing attribution concepts (or a strong willingness and interest to learn). - Extensive hands-on data analytics experience, with proficiency in SQL & data visualization tools (we use Tableau). - Strong business acumen with a proven track record of translating complex data into impactful business decisions. - Stakeholder management experience - ability to collaborate effectively across different seniority levels and bridge the gap between technical and non-technical colleagues. - An innovative, results-oriented attitude that constantly seeks to improve processes, team setup and outcomes. Benefits for you - \uD83D\uDE80 360 Growth: We provide limitless learning opportunities https://www.hostinger.com/blog/learning-culture: access to platforms like Reforge and Scribd, global conferences, physical and digital libraries, feedback culture https://www.hostinger.com/blog/reaching-your-peak, and mentoring through TesoXchange https://tesoxchange.com/. Advance your career with internal mobility and grow with a team eager to share knowledge and support your success. - \uD83C\uDFAF Freedom & responsibility: Work on your terms: from modern offices in Kaunas, Vilnius, or Indonesia, the comfort of home, or anywhere in the world. Enjoy flexibility in managing your schedule and bring your ideas to life in a fast-paced, dynamic environment. - \uD83D\uDCAAWellness simplified: Your health comes first with insurance from Day 1, gym memberships, recharge leave, and regular health checks. Join sports, arts, and hobby clubs or simply enjoy the balance of a lifestyle that prioritizes wellness. - \uD83C\uDF89 Work hard - play hard: Celebrate your achievements with company events like Summerfest https://www.youtube.com/watch?v=W-R7mLEwk6Q&ab_channel=HostingerUnfiltered & Winterfest https://www.linkedin.com/posts/hostinger_party-venicecarnival-celebration-activity-7284893033827823616-1mWO/?utm_source=share&utm_medium=member_desktop, Town Hall, Meet the Client initiatives, team-buildings, and workations. Enjoy access to the Žalgiris Arena VIP Lounge and celebrate life’s big moments with milestone gifts for weddings, new parenthood, and graduations. Compensation - Gross salary starting from 6000 EUR/month, depending on your experience and skills. We’re always looking for experienced talent to raise the bar. If you’re excited about the role but the listed salary range doesn’t align with your expectations, we still encourage you to apply - we’re open to adjusting compensation based on the impact and value you bring. Get ready to take your personal and professional growth to new heights! Join Hostinger today and be part of our journey \uD83D\uDE80 Three. Two. Onboard", "summaryDescription" : "Marketing Analytics Lead at Hostinger. Skills: Marketing analytics, Team building, Data-driven decision making. Set standard for data-driven decision-making. 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Cross-functional teams; Sales teams; Marketing teams; Finance teams; Operations teams; Senior leadership", "projectManagementSkills" : [ "Strategy development", "Project execution" ], "domainKnowledge" : "Two-sided marketplace; Commercial topics; Pricing trends", "domainList" : [ "two-sided-marketplace", "commercial-topics", "pricing-trends" ], "domainSpecificKnowledge" : [ "Two-sided marketplace", "Commercial topics", "Pricing trends" ], "toolProficiency" : [ "Tableau", "Looker", "BigQuery", "SQL", "AI tools" ], "communicationSkills" : "Verbal communication; Written communication; Actionable recommendations; Data-driven insights", "problemSolvingSkills" : "Interpreting data; Generating qualitative feedback; Evaluating metrics", "outcomesObjectives" : "Optimize customer value; Drive revenue growth; Drive LTV growth; Drive market expansion; Guide marketplace health; Ensure alignment of commercial strategies", "qualificationsBasic" : "6+ years of professional experience, Bachelor's or Master's degree, Proficiency in data analysis & reporting tools, Analytical skills, Good business acumen", "qualificationsPreferred" : "Experience in campaign management, Experience in a two-sided marketplace", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: - Founded in 1995 as Angie’s List and rebranded in 2021 - Global company with 9 brands in 8 countries and employees worldwide - Homeowners have turned to us for 300 million home projects and counting About the team: We are seeking a Senior Analyst for our Commercial & Analytics team to drive strategic marketplace, pricing, and promotional decisions that optimize customer value. This team manages marketplace strategy across all brands, focusing on revenue growth and balance. You will lead marketplace initiatives and promotional strategies, partnering across the organization to ensure successful execution through quantitative and strategic analysis. This role reports into the Associate Director, Strategic Analytics and can be based out of any of our 4 office locations: Aix-en-Provence, Amsterdam, Berlin and London. What you’ll do: - Analyze large datasets to identify trends, patterns, and insights that inform business decisions. - Collaborate with broader marketing teams to develop and implement strategic initiatives that drive revenue/LTV growth and market expansion. - Develop and maintain comprehensive reports, dashboards, and visualizations to track key performance indicators (KPIs) that guide marketplace health. - Formulate A/B test frameworks to discern the impact of adjustments/new initiatives on marketplace & other business metrics. - Identify and implement process improvements to enhance data accuracy, reporting efficiency, and overall analytical capabilities. - Leverage advanced analytical tools and AI tools to optimize workflows. - Work closely with cross-functional teams including Sales, Marketing, Finance, and Operations to ensure alignment of commercial strategies with overall business objectives. - Develop and deliver clear, actionable recommendations to senior leadership, accompanied by data-driven insights and rationale. - Stay informed about industry best practices, emerging pricing trends, and technological advancements to continuously improve marketplace growth. Who you are: - 6+ years of professional experience as an analyst/senior analyst, preferably in a two-sided marketplace. - Bachelor's or Master’s degree in Business or a related field, with a strong analytical background. - Demonstrated capability to influence stakeholders and manage projects from strategy development through to successful execution. - Proficiency in data analysis & reporting tools (e.g.Tableau, Looker, and BigQuery/SQL, among others). - Comfortable utilizing AI tools to improve efficiencies and integrate their usage in daily work - Strong analytical skills and good at interpreting data, generating qualitative feedback and evaluating metrics to inform decision-making. - Good business acumen with a strong understanding of commercial topics. - Exceptional organizational skills, capable of managing multiple projects in a fast-paced environment. - Experience in campaign management in a customer centric environment is a plus. - Fluent in English, with strong verbal and written communication skills. Compensation & Benefits: - The salary band for this position ranges from €68,000 - €90,000, commensurate with experience and qualifications. - Hybrid work environment and home office set-up allowance - Temporary work from abroad policy - Regular team and social events", "summaryDescription" : "Senior Analyst, Commercial & Analytics at Angi. Skills: Commercial analysis, Marketplace analytics, Strategic initiatives, Data-driven recommendations. Analyze large datasets. Identify trends", "createdAt" : "2026-06-14T05:08:15.000", "lastUpdated" : "2026-06-15T11:59:57.244", "ingestTimestamp" : "2026-06-14T05:08:15.000", "mongoId" : "6a2cc34174d8ee00a0a08d53", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting", "Statistical analysis", "Trend identification", "Pattern identification", "Insight generation", "KPI tracking", "Metric evaluation", "Commercial analysis", "Marketplace analytics", "Strategic initiatives", "Data-driven recommendations", "Marketplace strategy", "Pricing strategy", "Promotional strategy", "Revenue growth", "Customer value optimization", "Strategic analysis", "Quantitative analysis", "Business objectives alignment", "Strategy development", "Project execution", "Two-sided marketplace", "Commercial topics", "Pricing trends", "Tableau", "Looker", "BigQuery", "SQL", "AI tools" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30662df292fd229cfaed57", "title" : "Head of Marketing Analytics", "company" : "Zopa", "industry" : "CAO General", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Marketing Analytics in London, UK, with adjustments for the FinTech industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T11:28:19.177", "fingerprint" : "43f1e3a0d70706b7c65f3e1f6a960310d15d571a53915075351643538d7db1a9", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/zopa/f37c57aa-9b3c-4bb0-80e5-6cd1be81459b/apply", "externalId" : "f37c57aa-9b3c-4bb0-80e5-6cd1be81459b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Marketing measurement, Performance analytics, Analytical approaches", "professionalSkills" : [ "Strategic conversations", "Analytical detail", "Business questions", "Analytical work", "Measurement approaches", "Attribution approach", "Marketing effectiveness", "Analytical quality", "Analytical rigour" ], "hardSkillsList" : [ "Marketing analytics", "Growth analytics", "Customer analytics", "Marketing measurement", "Performance analytics", "Customer acquisition", "Customer engagement", "Experimentation", "Marketing investment", "Measurement", "Attribution", "Multi-channel acquisition", "Marketing effectiveness", "Analytical quality", "Analytical rigour" ], "softSkillsList" : [ "Leadership", "Coaching", "Mentoring" ], "hardSkills" : [ { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Growth analytics", "level" : "intermediate" }, { "name" : "Customer analytics", "level" : "intermediate" }, { "name" : "Marketing measurement", "level" : "intermediate" }, { "name" : "Performance analytics", "level" : "intermediate" }, { "name" : "Customer acquisition", "level" : "intermediate" }, { "name" : "Customer engagement", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Marketing investment", "level" : "intermediate" }, { "name" : "Measurement", "level" : "intermediate" }, { "name" : "Attribution", "level" : "intermediate" }, { "name" : "Multi-channel acquisition", "level" : "intermediate" }, { "name" : "Marketing effectiveness", "level" : "intermediate" }, { "name" : "Analytical quality", "level" : "intermediate" }, { "name" : "Analytical rigour", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Coaching" }, { "name" : "Mentoring" } ], "majorSkills" : "Marketing Analytics, Growth Analytics, Customer Analytics, Measurement, Attribution", "majorSkillsList" : [ "Marketing Analytics", "Growth Analytics", "Customer Analytics", "Measurement", "Attribution" ], "coreResponsibilities" : "Partner with senior stakeholders, Solve complex marketing challenges, Solve complex growth challenges, Translate business questions into analytical work, Lead a team of four Analysts, Coach a team of four Analysts, Develop a team of four Analysts, Guide measurement approaches, Build an attribution approach, Define long-term vision, Define long-term strategy, Improve maturity of Marketing Analytics frameworks, Improve maturity of Marketing Analytics processes, Improve maturity of Marketing Analytics capabilities, Influence decisions relating to customer acquisition, Influence decisions relating to growth, Influence decisions relating to marketing effectiveness, Build relationships across teams, Ensure analytical outputs are commercially impactful, Ensure analytical outputs are actionable, Maintain high standards of analytical quality, Maintain high standards of analytical rigour", "teamCollaboration" : "Senior stakeholders; Marketing teams; Growth teams; Analytics teams; Product stakeholders", "domainKnowledge" : "Marketing measurement; Performance analytics; Customer acquisition; CRM; Multi-touch attribution; Marketing mix modelling; Financial services; Fintech", "domainList" : [ "marketing-measurement", "performance-analytics", "customer-acquisition", "crm", "multi-touch-attribution", "marketing-mix-modelling", "financial-services", "fintech" ], "domainSpecificKnowledge" : [ "Marketing measurement", "Performance analytics", "Customer acquisition", "CRM", "Multi-touch attribution", "Marketing mix modelling", "Financial services", "Fintech" ], "problemSolvingSkills" : "Problem solver; Break down complex business questions", "specialRequirements" : "Work from abroad up to 120 days", "outcomesObjectives" : "Inform growth strategy; Inform customer value; Inform investment decisions", "qualificationsBasic" : "Experience in Marketing Analytics, Experience in Growth Analytics, Experience in Customer Analytics, Proven track record of leading analysts, Ability to operate between strategic conversations and analytical detail, Experience improving analytics functions, Build credibility with senior stakeholders", "qualificationsPreferred" : "Background in marketing agency, Background in media agency, Exposure to customer acquisition attribution, Exposure to CRM, Exposure to next best action modelling, Exposure to lifetime value modelling, Experience with multi-touch attribution, Experience with marketing mix modelling, Track record leading analytics transformation, Track record leading maturity improvement programmes, Experience operating in fast growing organisations, Financial services exposure, Fintech exposure, Familiarity with AI enabled analytics approaches, Familiarity with AI enabled analytics tools", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "## Description Our Story Hello there. We’re Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we’ve built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com! We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife Marketing Analytics is becoming an increasingly important capability within the business, and this role will play a key part in shaping what that function looks like over the coming years. This is a really exciting opportunity to join at a pivotal point in the team's evolution. You'll help shape how Marketing, CRM and Growth teams use analytics to make better decisions about customer acquisition, engagement, experimentation and marketing investment, while leading a growing team and influencing decisions that directly impact business growth. Rather than inheriting a fully mature function, you'll help build capability, improve ways of working and establish Marketing Analytics as a strategic capability that informs growth strategy, customer value and investment decisions across the business. ## A day in the life Partner with senior stakeholders to solve complex marketing and growth challenges Translate strategic business questions into analytical work that drives action Lead, coach and develop a team of four Marketing Analysts Guide measurement approaches across acquisition, CRM and growth activity Build a strong measurement and attribution approach for an increasingly complex multi-channel acquisition approach Define and champion the long-term vision and strategy for Marketing Analytics, ensuring the function evolves to support Zopa's growth ambitions and changing marketing landscape Improve the maturity of Marketing Analytics frameworks, processes and capabilities Influence decisions relating to customer acquisition, growth and marketing effectiveness Build strong relationships across Marketing, Growth and Analytics teams as well as broader product stakeholders Ensure analytical outputs are commercially impactful and actionable Maintain high standards of analytical quality and rigour ## About you Strong experience in Marketing Analytics, Growth Analytics, Customer Analytics or a closely related field, with an exposure to a broad range of marketing measurement requirements across the funnel Deep domain expertise and understanding of the unique challenges of marketing measurement and performance analytics Proven track record of leading analysts and you enjoy coaching, mentoring and developing teams Ability to operate comfortably between strategic conversations and analytical detail Experience improving the maturity of analytics functions rather than simply maintaining established processes A strong problem solver who can break down complex business questions into practical analytical approaches You can build credibility with senior stakeholders across both marketing and analytics functions You bring enough technical depth to challenge thinking, review analytical approaches and maintain analytical standards Comfortable working in an environment that is still evolving and where there is opportunity to shape the future direction Added bonus: Background in marketing or media agency environments Exposure to customer acquisition attribution, CRM, next best action / lifetime value modelling Experience with multi-touch attribution and marketing mix modelling to enhance effectiveness Track record leading analytics transformation or maturity improvement programmes Experience operating in fast growing organisations where analytics capabilities are still being established Financial services or fintech exposure Familiarity with AI enabled analytics approaches and tools ## Additional Information At Zopa we value flexible ways of working. We value face-to-face collaboration and a good work-life balance. This hybrid role requires you to come to our London office 2-3 days a week. You'll also have the option of working from abroad for up to 120 days a year!* But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one. *Subject to having the right to work in the country of choice Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments. ", "summaryDescription" : "Head of Marketing Analytics at Zopa. Skills: Marketing Analytics, Growth Analytics, Customer Analytics, Measurement, Attribution. Partner with senior stakeholders. Solve complex marketing challenges", "postedDate" : "2026-06-15T16:27:08.498", "createdAt" : "2026-06-15T16:27:08.498", "lastUpdated" : "2026-06-16T11:28:19.177", "ingestTimestamp" : "2026-06-16T03:26:36.991", "mongoId" : "6a30662df292fd229cfaed57", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Marketing analytics", "Growth analytics", "Customer analytics", "Marketing measurement", "Performance analytics", "Customer acquisition", "Customer engagement", "Experimentation", "Marketing investment", "Measurement", "Attribution", "Multi-channel acquisition", "Marketing effectiveness", "Analytical quality", "Analytical rigour", "Leadership", "Coaching", "Mentoring", "Marketing Analytics", "Growth Analytics", "Customer Analytics", "Strategic conversations", "Analytical detail", "Business questions", "Analytical work", "Measurement approaches", "Attribution approach", "CRM", "Multi-touch attribution", "Marketing mix modelling", "Financial services", "Fintech" ], "skillCount" : 32, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2cc34174d8ee00a0a08d5f", "title" : "Lead Analyst, Customer Service Analytics", "company" : "Angi", "industry" : "Marketing", "salary" : { "min" : 81000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - France - Aix-en-Provence", "locations" : [ "Hybrid - France - Aix-en-Provence" ], "timestamp" : "2026-06-15T03:30:12.161", "fingerprint" : "ed2ee5170e5f7e5f421500f84054e1d5722553c18e6a1e48e4ee6ad5cb3a7d76", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/angi/a9ea7058-0704-4bc2-a40c-9a11aedc327b/application", "externalId" : "a9ea7058-0704-4bc2-a40c-9a11aedc327b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Aix-en-Provence", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "43.5298424,5.4474738" } ], "locationText" : "Aix-en-Provence, France", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Data Analytics, SQL, Python", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Data-driven decision making" ], "hardSkillsList" : [ "Customer service analytics", "Data analysis", "Statistical analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Customer service analytics", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Customer experience, Operational efficiency, Data analysis", "majorSkillsList" : [ "Customer experience", "Operational efficiency", "Data analysis" ], "coreResponsibilities" : "Leverage analytics to understand customer expectations, Leverage analytics to understand customer experiences, Tailor services to meet customer needs, Analyze customer satisfaction metrics, Measure service levels, Improve service levels, Identify customer pain points, Structure customer feedback, Analyze customer feedback, Address recurring issues proactively, Improve satisfaction, Analyze customer service data, Balance speed and quality, Optimize processes, Optimize resource allocation, Enhance operational effectiveness, Steward prioritization of resource allocation, Guide workforce planning, Identify AI-driven opportunities, Streamline data analysis, Improve team productivity, Conduct analyses of experiments, Provide actionable recommendations, Evaluate outcomes, Suggest improvements related to processes, Suggest improvements related to products, Suggest improvements related to personnel, Establish key performance indicators, Monitor key performance indicators, Provide regular reports to senior management, Highlight actionable insights, Highlight areas for improvement, Steward data driven decision making, Provide insights to achieve goals, Help direct reports grow professionally, Mentor direct reports, Identify development needs, Create development opportunities", "teamCollaboration" : "Cross-functional teams; Senior management reporting", "domainKnowledge" : "Customer service analytics; Customer experience; Operational efficiency; Workforce planning; Customer retention strategies", "domainList" : [ "customer-service-analytics", "customer-experience", "operational-efficiency", "workforce-planning", "customer-retention-strategies" ], "domainSpecificKnowledge" : [ "Customer service analytics", "Customer experience", "Operational efficiency", "Workforce planning", "Customer retention strategies" ], "toolProficiency" : [ "Customer service platforms", "Salesforce", "Looker", "AI tools" ], "communicationSkills" : "Present complex data", "innovationCreativity" : "AI-driven opportunities", "problemSolvingSkills" : "Data-driven decision making", "outcomesObjectives" : "Enhance customer experience; Enhance operational productivity; Improve customer satisfaction; Improve customer loyalty; Enhance overall operational effectiveness; Ensure efficiency and business impact; Drive measurable business outcomes; Achieve department or organizational goals", "qualificationsBasic" : "Bachelor's or Master's degree, 8+ years of experience, Experience in data analytics, Focus on customer experience, Focus on operational efficiency, Experience with customer service platforms, Proficiency in customer service analytics tools, Analytical skills, Experience structuring datasets, Experience analyzing datasets, Experience interpreting datasets, Ability to generate insights from data, Implement strategies, Drive measurable business outcomes, Excellent communication skills, Excellent stakeholder management skills, Present complex data clearly, Present complex data actionably, Proficiency in data visualization tools, Proficiency in analytics tools, Experience in customer-centric industries, Focus on improving customer experience", "qualificationsPreferred" : "Salesforce experience is a plus, People management experience is a plus, Experience leveraging AI tools is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: - Founded in 1995 as Angie’s List and rebranded in 2021 - Global company with 9 brands in 8 countries and employees worldwide - Homeowners have turned to us for 300 million home projects and counting We are seeking a dynamic Lead Analyst for the Commercial & Analytics - International team to play a pivotal role in enhancing customer experience and operational productivity through data-driven insights. The Lead Analyst will focus on analyzing customer service data, identifying pain points, improving products and services, and optimizing operational workflows. In this role, you will have a direct impact on customer satisfaction, loyalty, and the overall success of our operations. You’ll be responsible for stewarding the allocation of resources, managing customer feedback data, and proactively generating insights to continually enhance processes, products, and people. What you’ll do: - Customer Experience Optimization: - Leverage analytics to understand customer expectations and experiences, enabling the team to tailor services and meet customer needs more effectively. - Analyze customer satisfaction metrics such as CSAT, NPS, CES, ART, AHT, and First Contact Resolution to measure and improve service levels. - Identify customer pain points by structuring and analyzing customer feedback and complaints, addressing recurring issues proactively to improve satisfaction. - Operational Efficiency & Resource Management: - Analyze customer service data to balance speed and quality in operations, optimizing processes and resource allocation to enhance overall operational effectiveness. - Steward the prioritization of resource allocation across all inbound service workloads, outbound calling campaigns, and experiments, ensuring efficiency and business impact. - Use analytics to guide workforce planning, from debt collection efforts to outbound call campaigns and customer retention strategies. - Continuously identify and implement AI-driven opportunities to streamline data analysis and improve team productivity - Data-Driven Experimentation: - Conduct both proactive and reactive analyses of experiments, providing actionable recommendations based on reliable and statistically significant results. - Evaluate outcomes to suggest improvements related to processes, products, or personnel, with a focus on productivity, conversion rates, right-first-time rate, cycle times, and retention. - Performance Metrics & Reporting: - Establish and monitor key performance indicators (KPIs) that measure operational success, such as Average Handle Time (AHT), Cycle Times, and Satisfaction Scores. - Provide regular reports to senior management, highlighting actionable insights and areas for improvement in the customer service experience. - Leadership & Team development: - Steward data driven decision making by providing insights to achieve department or organizational goals. - Help your direct reports grow professionally by mentoring, identifying development needs and creating opportunities. Who you are: - Bachelor’s or Master’s degree in a relevant field (e.g., Data Analytics, Business, Statistics, Economics, or similar). - 8+ years of experience in data analytics, with a focus on customer experience or operational efficiency. - Proven experience with customer service platforms (Salesforce is a plus) and proficiency in customer service analytics tools. - Strong analytical skills with experience in structuring, analyzing, and interpreting large datasets. - Demonstrated ability to generate insights from data and implement strategies that drive measurable business outcomes. - Excellent communication and stakeholder management skills, with the ability to present complex data in a clear and actionable way. - People management experience is a plus. - Experience leveraging AI tools (e.g., Cursor, Claude Code) to optimize workflows is a plus. - Proficiency in data visualization and analytics tools such as Looker, SQL, or Python. - Experience in working in customer-centric industries or roles, with a focus on improving customer experience. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Compensation & Benefits: - The salary band for this position ranges from €81,000 - €110,000, commensurate with experience and qualifications. - Hybrid work environment and home office set-up allowance - Temporary work from abroad policy - Regular team and social events", "summaryDescription" : "Lead Analyst, Customer Service Analytics at Angi. Skills: Customer experience, Operational efficiency, Data analysis. Leverage analytics to understand customer expectations. Leverage analytics to understand customer experiences", "createdAt" : "2026-06-13T21:49:34.436", "lastUpdated" : "2026-06-15T03:30:12.161", "ingestTimestamp" : "2026-06-13T21:49:34.436", "mongoId" : "6a2cc34174d8ee00a0a08d5f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Customer service analytics", "Data analysis", "Statistical analysis", "Leadership", "Customer experience", "Operational efficiency", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Data-driven decision making", "Workforce planning", "Customer retention strategies", "Customer service platforms", "Salesforce", "Looker", "AI tools" ], "skillCount" : 19, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305750f292fd229cf37c37", "title" : "Senior Business Intelligence Analyst – Product Analytics", "company" : "ZoomInfo Technologies LLC", "industry" : "Technology", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Business Intelligence Analyst in Bulgaria, adjusted for the SaaS industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T07:46:55.942", "fingerprint" : "5f805319f5556283dd8f227f06ff5eddef1b3cfa6b34cf8b1616ae9d9b91e93d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zoominfo.com/careers?gh_jid=8561605002", "externalId" : "8561605002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Product analytics", "Business intelligence", "Data engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Data modeling", "Statistical analysis", "Machine learning", "Data warehousing", "ETL processes", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Product analytics, Business intelligence, Data science, Data engineering", "majorSkillsList" : [ "Product analytics", "Business intelligence", "Data science", "Data engineering" ], "coreResponsibilities" : "Develop and maintain BI dashboards, Build and optimize data pipelines, Perform complex data analysis, Collaborate with product managers, Identify key product metrics, Drive data-informed product decisions, Communicate findings to stakeholders, Develop and implement A/B tests", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams; Stakeholders", "domainKnowledge" : "Product analytics; Data science; Data engineering; Machine learning; Business intelligence; Cloud data platforms; Statistical modeling", "domainList" : [ "product-analytics", "data-science", "data-engineering", "machine-learning", "business-intelligence", "cloud-data-platforms", "statistical-modeling" ], "domainSpecificKnowledge" : [ "Product analytics", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Cloud data platforms", "Statistical modeling" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "communicationSkills" : "Stakeholder communication; Data storytelling", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills; Problem-solving", "outcomesObjectives" : "Drive data-informed product decisions; Identify key product metrics", "qualificationsBasic" : "SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. Overview We are seeking a Senior Business Intelligence Analyst to help drive product strategy and execution through analytics, measurement, and actionable insights across Product, Product Leadership, and Engineering. This role is responsible for transforming complex product and business questions into actionable insights, scalable measurement approaches, and trusted analytics that influence product outcomes and business performance. This role focuses on product analytics, customer behavior, product performance, and business outcomes. The successful candidate will help Product and Engineering teams understand what is happening, why it is happening, and what actions should be taken next. The ideal candidate combines strong analytical skills, product thinking, business acumen, intellectual curiosity, and a bias toward action. They are comfortable navigating evolving business needs, quickly learning new domains, and applying data to solve complex product and customer challenges. They will independently own analytics initiatives from problem definition through recommendation while helping evolve how analytics supports Product and Engineering organizations. You will operate with a high degree of autonomy and influence, partnering closely with Product Managers, Product Leadership, Engineering, Data Engineering, and Business Intelligence teams to ensure product investments are measurable, impactful, and aligned with business objectives. What You'll Do Product Analytics Ownership • Partner with Product Managers and Engineering leaders to understand customer workflows, product experiences, user behaviors, and business objectives, using data to drive product strategy and decision-making. • Develop a deep understanding of customer workflows, product experiences, and user behaviors to identify opportunities for improved adoption, engagement, retention, and value realization. • Define success metrics and measurement plans for product launches, features, and strategic initiatives. • Develop and refine KPIs and measurement frameworks that align teams around product and business performance. • Partner with Product and Engineering teams to define event tracking requirements and ensure product telemetry supports meaningful measurement and analysis. • Quantify opportunity size and help Product teams prioritize investments based on expected customer value, business impact, and strategic objectives. • Support product teams throughout the product lifecycle, from opportunity identification and prioritization through launch and post-release evaluation. Analytics Execution & Insight Generation • Conduct deep-dive analyses to identify trends, opportunities, risks, and root causes. • Translate complex business questions into actionable insights and recommendations. • Design, analyze, and communicate results from experiments, feature launches, and product initiatives, evaluating customer and business impact. • Identify and quantify opportunities to improve product experiences, customer engagement, retention, and business outcomes through data-driven analysis. • Evaluate tradeoffs between competing product investments and provide analytical recommendations that support roadmap prioritization. Stakeholder Partnership & Data Storytelling • Act as a trusted analytics partner to Product, Engineering, and Leadership teams. • Present analytical findings and recommendations through clear narratives and effective visualizations. • Influence prioritization and strategic decisions through evidence-based insights. • Communicate complex analytical concepts to both technical and non-technical audiences. Analytics Excellence & Innovation • Partner with Data Engineering and Analytics teams to improve data quality, instrumentation, and accessibility. • Leverage modern analytics and AI-powered tools to accelerate analysis and improve team efficiency. • Contribute to scalable analytics best practices, governance, and continuous improvement across the organization. About You • You think beyond dashboards and reporting, focusing on the business decisions, customer behaviors, and product outcomes behind the data. • You bring strong product and analytical instincts, using customer behavior, product usage patterns, and business outcomes to guide recommendations and influence product decisions. • You are naturally curious, comfortable navigating ambiguity, and able to bring structure and clarity to evolving challenges. • You can move seamlessly between technical analysis, stakeholder discussions, and executive communication. • You operate independently, take ownership of outcomes, and effectively influence stakeholders through sound judgment and analytical rigor. What You Bring • 5+ years of experience in Business Intelligence, Product Analytics, Growth Analytics, or related analytical roles within B2B SaaS or technology organizations. • Demonstrated experience influencing product, business, or operational decisions through analytical insights and recommendations. • Strong SQL skills and experience working with large-scale datasets. Experience with Python or other analytical programming languages is a plus. • Experience partnering with cross-functional teams, including Product Management, Engineering, and Business stakeholders. • Proven ability to define KPIs, build measurement frameworks, and translate complex business questions into actionable analysis and recommendations. • Experience analyzing product adoption, customer behavior, engagement, retention, experimentation, or product performance. • Strong communication and data storytelling skills, with the ability to tailor insights to technical and executive audiences. • Demonstrated experience leveraging AI-powered tools and LLMs to accelerate analytical workflows, automate repetitive tasks, improve research efficiency, enhance data exploration, and generate actionable insights. Success in This Role Means • Product teams consistently use your analyses and recommendations to improve product experiences, customer outcomes, and business performance. • Product teams use your analyses to prioritize roadmap investments, evaluate tradeoffs, and make more informed product decisions. • Product and business metrics are trusted, accurate, clearly defined, and consistently applied across the organization. • Complex product and business questions are translated into clear analytical approaches that drive meaningful action and measurable outcomes. • Product opportunities, launches, and strategic initiatives are supported by clear measurement frameworks and well-defined success criteria. • Product launches, experiments, and strategic initiatives have measurable business impact. • Product decisions are increasingly informed by customer behavior, product usage patterns, and business performance insights. • ZoomInfo gains a deeper understanding of customer behavior, product adoption, engagement, and business performance through your work. Equal Employment Opportunity (EEO) Statement Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $112,840—$177,320 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.", "summaryDescription" : "Senior Business Intelligence Analyst – Product Analytics at ZoomInfo Technologies LLC. Skills: Product analytics, Business intelligence, Data science, Data engineering. 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As the growth engine of NIQ/GfK, the Sales function plays a critical role in the company’s overall success. In this role, you will be responsible for leading sales and renewals within your assigned portfolio—building a healthy and sustainable pipeline, identifying and developing new revenue streams, and strengthening relationships with existing clients. While the primary focus will be on FMCG, the scope of the role might extend to a few new sectors to expand. In your role, you would: • Drive sales and renewals for existing accounts for own Consumer Behavior Insights + Brand (CBI+B) scope securing pipeline, new revenue opportunities and accurate forecasting while maintaining customer relationships • Develop a complete and interconnected understanding of customer's industry/business/markets/clusters • Partner with Customer Success and other relevant teams (eg. Retail Measurement, Retailer + Tech & Durables Account Leaders) to develop and execute Account Plans and JBPs • Working with Customer Success teams to ensure client satisfaction • Collect, analyze, act-on and escalade as appropriate Voice of Customer feedback • Expand customer network to identify new budget holders • Escalate product needs and trends related to Consumer Behaviour Insights and Brand (CBI+B) products and solutions ## Qualifications About you: You are a high-performing deal maker with a growth mindset of revenue targets. You know how to build and promote strong long-lasting client relationships. A proven leader, you motivate your teams to work with passion on sales opportunities. You’re energized by accelerating sales, uncovering opportunities, and exceeding targets while bringing the best out of your team. A deep understanding of the market landscape, our CBI+B products, and our processes is at the forefront of your mind. You know that collaboration amongst teams and active listening of clients is critical to meet goals and grow. You strengthen our relationship with customers and unlock opportunities for growth. Selling, understanding our customers and their contexts, effective negotiation and growth mindset drive your work. Qualifications: • Min 7-10+ years of experience • Solid sales skills and developed sales expertise in target scope • Solid understanding of data analytics industry, business model, products, services, and solutions like Brand Health, Segmentation, Usage & Attitude studies, Shopper and Shopping Behavior, Customer Experience and Advertising Effectiveness. • Experience working with FMCG clients • Solid understanding of market trends and its interdependencies impacting customers ## 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. 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As the growth engine of NIQ/GfK, the Sales function plays a critical role in the company’s overall success. In this role, you will be responsible for leading sales and renewals within your assigned portfolio—building a healthy and sustainable pipeline, identifying and developing new revenue streams, and strengthening relationships with existing clients. While the primary focus will be on FMCG, the scope of the role might extend to a few new sectors to expand. In your role, you would: • Drive sales and renewals for existing accounts for own Consumer Behavior Insights + Brand (CBI+B) scope securing pipeline, new revenue opportunities and accurate forecasting while maintaining customer relationships • Develop a complete and interconnected understanding of customer's industry/business/markets/clusters • Partner with Customer Success and other relevant teams (eg. Retail Measurement, Retailer + Tech & Durables Account Leaders) to develop and execute Account Plans and JBPs • Working with Customer Success teams to ensure client satisfaction • Collect, analyze, act-on and escalade as appropriate Voice of Customer feedback • Expand customer network to identify new budget holders • Escalate product needs and trends related to Consumer Behaviour Insights and Brand (CBI+B) products and solutions ## Qualifications About you: You are a high-performing deal maker with a growth mindset of revenue targets. You know how to build and promote strong long-lasting client relationships. A proven leader, you motivate your teams to work with passion on sales opportunities. You’re energized by accelerating sales, uncovering opportunities, and exceeding targets while bringing the best out of your team. A deep understanding of the market landscape, our CBI+B products, and our processes is at the forefront of your mind. You know that collaboration amongst teams and active listening of clients is critical to meet goals and grow. You strengthen our relationship with customers and unlock opportunities for growth. Selling, understanding our customers and their contexts, effective negotiation and growth mindset drive your work. Qualifications: • Min 7-10+ years of experience • Solid sales skills and developed sales expertise in target scope • Solid understanding of data analytics industry, business model, products, services, and solutions like Brand Health, Segmentation, Usage & Attitude studies, Shopper and Shopping Behavior, Customer Experience and Advertising Effectiveness. • Experience working with FMCG clients • Solid understanding of market trends and its interdependencies impacting customers ## 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. 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External customers; Product teams; Engineering teams; Sales teams; Customer Success teams", "domainKnowledge" : "Programmatic marketing; AI-powered marketing; Consumer signals; Omnichannel activation; Proprietary databases; Marketing personalization; Real-time bidding", "domainList" : [ "programmatic-marketing", "ai-powered-marketing", "consumer-signals", "omnichannel-activation", "proprietary-databases", "marketing-personalization", "real-time-bidding" ], "domainSpecificKnowledge" : [ "Programmatic marketing", "AI-powered marketing", "Consumer signals", "Omnichannel activation", "Proprietary databases", "Marketing personalization", "Real-time bidding" ], "toolProficiency" : [ "Zeta Marketing Platform", "Optimization platform" ], "communicationSkills" : "Story-telling interpretation; Insight presentations; Marketing strategy discussions; Client communication", "innovationCreativity" : "Develop innovative tools; Develop innovative solutions", "problemSolvingSkills" : "Analytical skills; Problem solving", "outcomesObjectives" : "Boost model exploration; Boost model learning; Advance reliability; Advance reach; Advance effectiveness; Help client business challenges; Help client business objectives", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. THE ROLE The Programmatic Analytics and Strategy team at Zeta Global provide actionable insights to both external customers and internal teams. For external customers, analysts partner with Sales and Customer Success teams to monitor our optimization platform, design Real-time Brand Optimization surveys, introduce humanly designed segments to boost model exploration and learning, and deliver actionable insight presentations and lead marketing strategy discussions with clients. For internal teams, they provide feedback to our Product and Engineering teams on automation and model features to advance the reliability, reach, and effectiveness of programmatic campaigns. Depending on your location, this role could be hybrid (NYC, Nashville, LA, San Francisco) or remote. Responsibilities: Client-facing lead responsible for communication campaign strategy, reviewing campaign-based insights and providing a story-telling interpretation to provided insights Work with clients to understand key business challenges and design analytic and testing plans to derive actionable intelligence. Own campaign performance and reporting insights while recommending opportunities for optimization (ex. running additional channels, updating current targeting strategy, pitching new analyses to help with client’s business challenges/objectives). Reviewing performance of models across revenue, performance, and pacing. Design and implement tests to evaluate model and feature performance. Working with internal teams and stakeholders to determine measurement tools and products are appropriate for addressing client business challenges. Develop innovative measurement tools and solutions Consult with clients regarding development nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/ ZETA IN THE NEWS! https://zetaglobal.com/press/?cat=press-releases #LI-MR1", "summaryDescription" : "Senior Analyst, Analytics and Insights (Programmatic) at Zeta Global. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis. Provide actionable insights. Partner with Sales", "postedDate" : "2026-06-11T18:48:53.693", "createdAt" : "2026-06-11T18:48:53.693", "lastUpdated" : "2026-06-14T09:08:11.586", "ingestTimestamp" : "2026-06-11T18:48:53.693", "mongoId" : "6a2a5c7874d8ee00a0614730", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Marketing Cloud", "Programmatic analytics", "Customer acquisition", "Customer growth", "Customer retention", "Marketing strategy", "Data analysis", "Testing plans", "Model performance", "Measurement tools", "Programmatic marketing", "AI-powered marketing", "Consumer signals", "Omnichannel activation", 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"hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4972beec4dd3d931a04", "title" : "Senior Customer Insights Manager, Customer Experience", "company" : "Zappos.com LLC", "industry" : "Business Intelligence, Planning/Development, subsidiaries", "salary" : { "min" : 130000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T01:37:04.930", "fingerprint" : "0c82aefa1a33eb9187884f4535c784ce545481ddbe70076fc402047e97c1ec2c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384387/apply", "externalId" : "e48c1531-7535-4fe1-9628-50c34b22ce4c", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Tableau, Power BI", "professionalSkills" : [ "Customer segmentation", "Customer intelligence", "Customer lifecycle", "Customer behavior", "Customer experience", "Customer analytics", "Customer value", "Customer strategies", "Customer communication", "Customer forecast" ], "hardSkillsList" : [ "Data analysis", "Business intelligence", "Data-driven insights", "Analytical skills", "Customer behavior analysis", "Retail dynamics analysis", "Segmentation strategies", "Customer journey analysis", "Customer lifecycle analysis", "Customer engagement analysis", "Performance deep dives", "Signal identification", "Actionable strategy translation", "Incrementality testing", "Holdout studies", "Correlation reporting", "Metric tracking", "KPI measurement", "Ad-hoc reporting", "Scalable infrastructure", "Analytical infrastructure", "Test interpretation", "Holdout result interpretation", "Incremental value assessment", "Communication optimization", "Segment-specific experiences", "Scenario planning", "Analytical inputs" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Data-driven insights", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Customer behavior analysis", "level" : "intermediate" }, { "name" : "Retail dynamics analysis", "level" : "intermediate" }, { "name" : "Segmentation strategies", "level" : "intermediate" }, { "name" : "Customer journey analysis", "level" : "intermediate" }, { "name" : "Customer lifecycle analysis", "level" : "intermediate" }, { "name" : "Customer engagement analysis", "level" : "intermediate" }, { "name" : "Performance deep dives", "level" : "intermediate" }, { "name" : "Signal identification", "level" : "intermediate" }, { "name" : "Actionable strategy translation", "level" : "intermediate" }, { "name" : "Incrementality testing", "level" : "intermediate" }, { "name" : "Holdout studies", "level" : "intermediate" }, { "name" : "Correlation reporting", "level" : "intermediate" }, { "name" : "Metric tracking", "level" : "intermediate" }, { "name" : "KPI measurement", "level" : "intermediate" }, { "name" : "Ad-hoc reporting", "level" : "intermediate" }, { "name" : "Scalable infrastructure", "level" : "intermediate" }, { "name" : "Analytical infrastructure", "level" : "intermediate" }, { "name" : "Test interpretation", "level" : "intermediate" }, { "name" : "Holdout result interpretation", "level" : "intermediate" }, { "name" : "Incremental value assessment", "level" : "intermediate" }, { "name" : "Communication optimization", "level" : "intermediate" }, { "name" : "Segment-specific experiences", "level" : "intermediate" }, { "name" : "Scenario planning", "level" : "intermediate" }, { "name" : "Analytical inputs", "level" : "intermediate" } ], "majorSkills" : "Customer insights, Data analysis, Business intelligence", "majorSkillsList" : [ "Customer insights", "Data analysis", "Business intelligence" ], "coreResponsibilities" : "Develop customer segmentation frameworks, Execute deep dives into segment performance, Surface insights, Identify signals of momentum, Identify signals of risk, Translate customer intelligence into strategies, Improve customer lifetime value, Test incrementality through holdout studies, Iterate based on measured impact, Develop key customer metrics, Track key customer metrics, Measure effectiveness of customer strategies, Maintain ongoing reporting, Develop capabilities to answer ad-hoc questions, Build analytical infrastructure, Support ongoing analytics needs, Support evolving analytics needs, Support incrementality measurement, Interpret tests, Interpret holdout results, Assess strategy impact, Optimize customer communication strategies, Optimize segment-specific experiences, Partner with Finance for forecast, Partner with Finance for scenario planning, Provide analytical inputs for business planning, Provide analytical inputs for investment decisions", "teamCollaboration" : "Lifecycle Marketing; Finance; Data Engineering; Cross-functional partners", "domainKnowledge" : "Ecommerce KPIs; Customer journeys; Customer segmentation; Customer lifecycle; Customer behavior; Retail dynamics", "domainList" : [ "ecommerce-kpis", "customer-journeys", "customer-segmentation", "customer-lifecycle", "customer-behavior", "retail-dynamics" ], "domainSpecificKnowledge" : [ "Ecommerce KPIs", "Customer journeys", "Customer segmentation", "Customer lifecycle", "Customer behavior", "Retail dynamics" ], "toolProficiency" : [ "Tableau", "Power BI", "Excel" ], "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Measurably improve customer lifetime value; Drive incremental customer value", "qualificationsBasic" : "5+ years analytical field experience, 3+ years writing SQL queries, 3+ years creating BI reports, Bachelor's degree, Experience defining requirements, Experience using data and metrics, Experience with Excel, Experience with SQL, Experience making business recommendations, Experience influencing stakeholders", "qualificationsPreferred" : "MBA, Generative AI tools usage, Learn effective prompting practices, Learn evaluation practices", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Zappos is looking for a customer obsessed Customer Insights Analyst to join the Customer Analytics organization. This role will be pivotal in shaping how we understand, engage with, and grow our customer base through data-driven insights. The candidate will have a strong understanding of ecommerce KPIs, customer journeys, and segmentation strategies that span the full customer lifecycle. The right candidate will have the analytical skills to answer strategic questions that are complex, dynamic, and not always clearly defined. The candidate must possess strong technical skills, including proficiency in SQL, data analysis tools, and visualization platforms, while maintaining a deep understanding of customer behavior and retail dynamics. The ideal candidate will be passionate about deeply understanding who our customer is, what motivates them, and how we can improve their experience. They should have a collaborative mindset that enables them to work effectively across Lifecycle Marketing, Finance, Data Engineering, and other cross-functional partners. This position sits within the Customer Experience organization. Key job responsibilities Own the development and of Zappos customer segmentation frameworks spanning value, behavior, lifecycle stage, and engagement patterns. Execute rigorous deep dives into segment performance to surface insights and identify early signals of momentum or risk. Translate customer intelligence into actionable strategies across lifecycle marketing, discovery, and acquisition targeting that measurably improve customer lifetime value. Test incrementality through holdout studies and iterate based on measured impact rather than correlation-based reporting. Develop and track key customer metrics and KPIs to measure the effectiveness of customer strategies. Maintain ongoing reporting and develop capabilities to answer ad-hoc business questions with speed and accuracy Build scalable analytical infrastructure in partnership with Data Engineering to support ongoing and evolving customer analytics needs Support incrementality measurement by interpreting tests and holdout results to assess whether strategies are driving incremental customer value. Partner closely with Lifecycle Marketing to optimize customer communication strategies and segment-specific experiences across all channels Partner with Finance for customer forecast and scenario planning, providing analytical inputs that support business planning and investment decisions Support incrementality measurement by interpreting tests and holdout results to assess whether lifecycle marketing strategies are driving incremental customer value About the team The F2 Subsidiary Customer Experience org supports both Zappos and Shopbop, Amazon Fashion subsidiary businesses with teams in New York, NY, Madison, WI, and Las Vegas, NV. Basic Qualifications: - 5+ years of tax, finance or a related analytical field experience - 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience - Bachelor's degree - Experience defining requirements and using data and metrics to draw business insights - Experience with Excel - Experience with SQL - Experience making business recommendations and influencing stakeholders Preferred Qualifications: - MBA - 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. 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. 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Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-16T01:10:37.668", "fingerprint" : "c35d7cf58f4ab7b173b8df7adcd895b6d248695c9107c0bcfedc37096b8d1ae2", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114905", "externalId" : "114905", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice What to Expect The Marketing Analytics Manager is responsible for delivering actionable insights that drive lifecycle marketing effectiveness, personalization, and performance optimization across owned digital channels. This role partners closely with Marketing, Digital, Product, Finance, and OEM stakeholders to translate complex data into actionable insights that improve customer acquisition, retention, and lifetime value. What You Will Do 1. Cross ‑ Platform Marketing Analytics & Insights · Lead and execute end ‑ to ‑ end measurement strategies for digital marketing programs, across Salesforce Marketing Cloud and Adobe Experience Cloud. · Define and manage KPIs, dashboards, and scorecards for lifecycle marketing, including conversion, retention, renewal, and cross ‑ sell. · Analyze campaign performance to identify optimization opportunities and inform ongoing digital marketing strategies. 2. Journey Analytics & Attribution · Analyze end ‑ to ‑ end customer journeys by integrating Adobe behavioral data with Salesforce campaign and journey execution data. · Design and manage attribution models (e.g., multi ‑ touch, data ‑ driven) to assess marketing impact across channels and touchpoints. · Apply advanced analytics techniques (segmentation, cohort analysis, LTV modeling, propensity scoring) to support targeting and personalization strategies. · Align Adobe Analytics data with Salesforce Marketing Cloud reporting to quantify marketing impact and downstream financial outcomes. · Partner with marketing and UX teams to optimize journey design, cadence, messaging, and experience strategy. 3. Data & Marketing Technology Enablement · Partner with experience teams to ensure reliable data pipelines across platforms such as CRM, web analytics, media platforms, and enterprise data warehouses. · Serve as an analytics stakeholder in marketing technology initiatives (e.g., Salesforce, Adobe, CDPs). · Ensure analytics solutions scale across multiple brands, products, and OEM requirements. 4. Cross ‑ Functional & Executive Partnership · Translate complex cross ‑ platform data into clear insights, narratives, and recommendations tailored to executive, marketing, and operational audiences. · Support marketing investment decisions, lifecycle strategy, and digital experience optimization efforts. · Support strategic initiatives such as new product launches, dealer programs, UX enhancements, and digital transformation efforts. · Act as a trusted advisor to marketing leadership on performance trends, risks, and investment decisions. What You Will Bring · Minimum 5-7 years of progressive experience in marketing analytics, digital analytics, or CRM analytics. · Experience with Salesforce and Adobe technology stacks. · Experience with content marketing, email marketing, and SEO marketing. · Automotive or financial services industries preferred. · Bachelor’s degree in Marketing, Analytics, Business, Statistics or related discipline. · Salesforce or Adobe certification(s) a plus. · MBA a plus. · Strong working knowledge of Salesforce Marketing Cloud, including customer data activation, journey performance, segmentation effectiveness, and attribution across channels. · SQL proficiency with the ability to query, join, and analyze large datasets across enterprise data warehouses and marketing platforms. · Exceptional attention to detail and quality. · Ability to work autonomously and in a team environment. · Excellent verbal and written communication, including presentation skills. · Excellent interpersonal skills to successfully collaborate with cross functional departments. · Strong orientation toward results coupled with reputation for integrity, creativity and good judgment · Must have the ability to challenge, when appropriate, existing practices. · Proficient in Microsoft 365 Suite (Word, Excel, PowerPoint, Outlook, Teams, Copilot). Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Marketing Analytics Manager at Hyundai Capital America", "createdAt" : "2026-06-14T19:48:31.205", "lastUpdated" : "2026-06-16T01:10:37.668", "ingestTimestamp" : "2026-06-14T19:48:31.205", "mongoId" : "69fc49a74c40e2acd1a83415", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c767e74d8ee00a093a1f6", "title" : "Senior Healthcare Data Analyst - Analytics", "company" : "Qualified Health", "industry" : "Data Engineering", "salary" : { "min" : 120000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T03:02:16.190", "fingerprint" : "0abbb1d84b4df4cafa9b4f6b273dff83c581cf58d173d5815ae2e74fa7bf83d4", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/qualified-health-pbc/46ccd928-2aaf-4b74-bab3-02b4698e46dc/application", "externalId" : "46ccd928-2aaf-4b74-bab3-02b4698e46dc", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "Statistical modeling", "A/B testing", "Causal inference", "Data warehousing", "ETL processes", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data visualization", "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, Design and deploy machine learning models, Create and manage BI dashboards, Perform complex data analysis, Collaborate with stakeholders to define data requirements, Ensure data quality and integrity, Optimize data infrastructure for performance and scalability, Stay updated on emerging data technologies", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams; Business stakeholders", "domainKnowledge" : "Healthcare data; Clinical data; Healthcare analytics", "domainList" : [ "healthcare-data", "clinical-data", "healthcare-analytics" ], "domainSpecificKnowledge" : [ "Healthcare data", "Clinical data", "Healthcare analytics" ], "toolProficiency" : [ "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "communicationSkills" : "Present findings; Explain complex concepts", "documentationSkills" : "Technical documentation; Data dictionaries", "problemSolvingSkills" : "Analytical problem solving; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Transform healthcare with us. At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change. This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board. Join us in shaping the future of healthcare. JOB SUMMARY: Qualified Health is seeking a Senior Healthcare Data Analyst to help our customers and internal teams understand, measure, and communicate the impact of our AI-powered solutions. This role sits at the intersection of healthcare analytics, clinical informatics, and data strategy, serving as the critical link between clinical workflows, source data systems, and the insights that demonstrate value to our health system partners. You will work directly with clinical, technical, and operational stakeholders to translate healthcare data into meaningful measures of clinical, financial, and operational impact. A deep understanding of Epic and healthcare data structures is essential, as much of the evidence demonstrating Qualified Health's success originates from EHR systems and clinical source data. This is a highly visible role with the opportunity to influence product strategy, support customer success, contribute to new product development initiatives, and present insights that are consumed across the organization and by executive stakeholders at leading health systems. KEY RESPONSIBILITIES: Analytics & Value Measurement - Develop reporting frameworks that quantify the clinical, operational, and financial impact of Qualified Health's products. - Build executive-level dashboards, analyses, and value reports that demonstrate ROI and customer outcomes. - Connect clinical data, utilization metrics, workflow performance, and operational KPIs to generate actionable insights. - Identify trends and opportunities that help customers understand the value generated through AI-driven interventions. Clinical Data & Epic Expertise - Translate complex clinical concepts and workflows into structured data models and reporting frameworks. - Leverage deep knowledge of Epic data structures to ensure accurate interpretation of source data and outcome measures. - Partner with customer clinical informatics and analytics teams to understand source systems, validate assumptions, and ensure reporting accuracy. - Reconcile data definitions across organizations and establish standardized approaches for outcome measurement. Data Analysis & Query Development - Develop complex SQL queries to extract, transform, and analyze healthcare data across multiple sources. - Design analytical methodologies that connect patient-level clinical activity to measurable business outcomes. - Navigate large, complex healthcare datasets to uncover insights and answer strategic business questions. - Partner with data engineering teams to ensure data pipelines support reporting and analytics needs. Data Quality & Governance - Establish quality assurance frameworks and validation processes to ensure reporting accuracy. - Develop and maintain data dictionaries, metric definitions, and reporting standards. - Monitor data quality and proactively identify issues that may impact analyses or customer reporting. REQUIRED QUALIFICATIONS: - 5+ years of experience in healthcare data analysis with demonstrated expertise in clinical data mapping and EHR data structures - Deep clinical domain knowledge including understanding of clinical workflows, medical terminology, and healthcare delivery processes - Advanced SQL proficiency with experience writing complex queries against healthcare databases and EHR systems - EHR Systems Expertise: Hands-on experience with Epic EHR platform is required. Exposure to other EHR platforms (Cerner, AllScripts, or NextGen) is helpful. - Healthcare Data Standards: Working knowledge of FHIR, HL7, ICD-10, CPT, SNOMED, and other clinical coding systems - Data Quality Experience: Proven track record developing and implementing data validation frameworks and quality assurance processes - Client-facing Skills: Strong ability to work directly with health system stakeholders, translate technical concepts for clinical audiences, and manage complex data reconciliation projects - Problem-solving Capabilities: Demonstrated ability to troubleshoot complex data mapping issues and develop creative solutions for non-standard data formats - Communication Skills: Excellent written and verbal communication with ability to document complex mappings and present findings to varied technical and clinical audiences - Bachelor's degree in Health Informatics, Healthcare Administration, Data Science, or related field DESIRABLE SKILLS: - Clinical Background: Clinical training, HIM certification, or formal healthcare informatics education - FHIR Implementation Experience: Hands-on experience with FHIR mapping and transformation projects - Epic Certification: Cogito, Caboodle, Clarity, or Chronicles training and certification - Regulatory Knowledge: Understanding of HIPAA, HITECH, and healthcare data governance requirements - Analytics Tools: Proficiency in Python, R, Tableau, or similar analytical platforms - Project Management: Experience leading cross-functional data mapping initiatives - Master's degree in relevant field - Professional certifications in health informatics (RHIA, CHPS, or similar) TECHNICAL ENVIRONMENT: You'll work with healthcare data from diverse sources including: - Epic (Clarity, Chronicles, FHIR APIs) - Cerner, AllScripts, and other major EHR platforms - Claims data (CMS, commercial payers) - Clinical registries and specialty systems - FHIR R4 and legacy HL7 formats IMPACT & GROWTH OPPORTUNITY: As a Senior Healthcare Data Analyst at Qualified Health, you'll directly influence how our AI platform interprets and leverages clinical data from major health systems. Your expertise in clinical data mapping will be fundamental to ensuring our platform delivers accurate, meaningful insights that improve patient care. This role offers significant growth potential as we expand across diverse healthcare organizations and clinical use cases. Why Join Qualified Health? This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers. Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation. Our Commitment to Diversity Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status. Pay & Benefits: The pay range for this role is between $120,000 and $160,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits. Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.", "summaryDescription" : "Senior Healthcare Data Analyst - Analytics at Qualified Health. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data models. Build and maintain data pipelines", "createdAt" : "2026-06-14T20:16:55.506", "lastUpdated" : "2026-06-16T03:02:16.190", "ingestTimestamp" : "2026-06-14T20:16:55.506", "mongoId" : "6a2c767e74d8ee00a093a1f6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "Statistical modeling", "A/B testing", "Causal inference", "Data warehousing", "ETL processes", "Data visualization", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Healthcare data", "Clinical data", "Healthcare analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c68ca74d8ee00a0904c4f", "title" : "Senior Quantitative Developer", "company" : "TradingHub", "industry" : "Analytics & Data", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Quantitative Developer in London, adjusted for executive seniority in the FinTech industry." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T08:38:53.289", "fingerprint" : "068a8da09ba8516fd5c1e58bc9169e4586a3cf6bef4177590344ca509e7ab9ab", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/tradinghub/36fd290f-9568-4290-9951-ab73a11d8cbe/application", "externalId" : "36fd290f-9568-4290-9951-ab73a11d8cbe", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C#, Python, SQL, Postgres", "professionalSkills" : [ "Pricing models", "Financial pricing", "Risk algorithms", "Securities data analysis", "Market dynamics research", "Model validation" ], "hardSkillsList" : [ "Mathematical analysis", "Financial modeling", "Risk assessment", "Database management" ], "hardSkills" : [ { "name" : "Mathematical analysis", "level" : "intermediate" }, { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" } ], "majorSkills" : "Quantitative development, Financial markets, Software productionisation", "majorSkillsList" : [ "Quantitative development", "Financial markets", "Software productionisation" ], "coreResponsibilities" : "Develop financial pricing libraries, Develop calculators, Develop risk algorithms, Develop pricing algorithms, Analyze securities data, Produce securities data, Research market dynamics, Prototype proprietary models, Test proprietary models, Validate proprietary models, Support junior team members, Coach junior team members", "teamCollaboration" : "Coaching junior members; Working with experts", "projectManagementSkills" : [ "Prioritisation" ], "domainKnowledge" : "Financial markets; Market manipulation; Asset classes; Fixed-income risk; Derivatives; Options; Swaps; Futures", "domainList" : [ "financial-markets", "market-manipulation", "asset-classes", "fixed-income-risk", "derivatives", "options", "swaps", "futures" ], "domainSpecificKnowledge" : [ "Financial markets", "Market manipulation", "Asset classes", "Fixed-income risk", "Derivatives", "Options", "Swaps", "Futures" ], "continuousLearning" : "Study leave", "innovationCreativity" : "Innovation; R&D", "problemSolvingSkills" : "Mathematical skills; Analytical skills", "outcomesObjectives" : "Ensure product capabilities ahead of competitors", "qualificationsBasic" : "Financial markets experience, Proficiency with C#, Proficiency with Python, Exceptional mathematical skills, Exceptional analytical skills, Understanding of market risk, Knowledge of derivatives, Knowledge of database technologies, Deliver projects to deadlines, Excellent prioritisation skills", "qualificationsPreferred" : "Experience within an investment bank, Experience within a pricing-related firm, Understanding of fixed-income risk", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Compensation: Competitive (Financial Services) About TradingHub Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation. With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk. The Role We are seeking a Senior Quantitative Developer (VP) to take a leading role in designing, building and validating our pricing models. This includes creating financial pricing libraries for multiple asset classes, calculators and risk algorithms. The successful candidate will combine excellent mathematical skills with proven experience in financial markets and the ability to productionise high-quality software. The capacity to put yourself in the eyes of a trader will be very useful as we continue to ensure our product’s capabilities are ahead of competitors in the market. Responsibilities: - Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms - Using our in-house big data language for the large-scale analysis and production of securities data - Research and development of market dynamics across multiple asset classes - Prototyping, testing, and validation of TradingHub’s proprietary models - supporting and coaching more junior team members Requirements - Proven financial markets experience, ideally within an investment bank or pricing-related firm - Proficiency with C#, Python or another object-oriented programming language - Evidence of exceptional mathematical and analytical skills - A clear understanding of market risk, preferably for fixed-income - Good knowledge of derivatives (e.g. options, swaps, futures etc.) - Good knowledge of database technologies such as SQL, Postgres etc. - Able to deliver projects to agreed deadlines with excellent prioritisation skills Benefits Life at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, we’re able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success. Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self. Employee Benefits: - Annual discretionary performance bonus (permanent employees only) - Hybrid working policy - Office lunches twice a week - Private medical insurance + dental cover - Extended parental leave (up to 6 months of fully paid maternity leave) - 25 days annual leave + bank holidays - Enhanced company pension plan - 5 days study leave towards professional qualifications - Salary sacrifice schemes - Death in service coverage Don’t tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don't let our specification hold you back. Get in touch! TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications. We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.", "summaryDescription" : "Senior Quantitative Developer at TradingHub. Skills: Quantitative development, Financial markets, Software productionisation. Develop financial pricing libraries. Develop calculators", "createdAt" : "2026-06-14T02:04:14.207", "lastUpdated" : "2026-06-15T08:38:53.289", "ingestTimestamp" : "2026-06-14T02:04:14.207", "mongoId" : "6a2c68ca74d8ee00a0904c4f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Mathematical analysis", "Financial modeling", "Risk assessment", "Database management", "Quantitative development", "Financial markets", "Software productionisation", "Pricing models", "Financial pricing", "Risk algorithms", "Securities data analysis", "Market dynamics research", "Model validation", "Prioritisation", "Market manipulation", "Asset classes", "Fixed-income risk", "Derivatives", "Options", "Swaps", "Futures" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "senior quantitative marketing analyst customer insights analytics jobs", "metadata" : { "title" : "senior quantitative marketing analyst customer insights analytics" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 112104, "totalPages" : 2243, "hasNext" : true, "hasPrevious" : false } }

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