Top Analytics Jobs

The Decision Analytics Associate Consultant will support clinical data strategies, analyze clinical trial data, and collaborate with cross-functional teams, ensuring adherence to industry standards.

Leads predictive media measurement across digital and traditional channels, building marketing mix, attribution, incrementality, and forecasting models. Owns KPIs, dashboards, signal detection, audience and creative effectiveness, brand health, and ambassador evaluation. Translates complex analytics into recommendations that optimize media allocation and marketing performance. Partners with agencies, marketing, brand, data, and engineering teams; mentors junior analysts and drives data-informed decisions across global markets.

Analyze sales, marketing, and customer success performance, including pipeline, funnel conversion, campaigns, retention, and revenue drivers. Build and maintain dbt models and marts using Salesforce and modern data-stack tools, while owning data quality and documentation. Contribute to Lighthouse, a BI-as-code platform, and develop AI-assisted analytics workflows. Partner with stakeholders to frame ambiguous questions, deliver recommendations, and communicate progress in two-week sprints.

Conduct quantitative research and pricing analytics for credit card installment products. Apply statistical modeling, econometrics, hypothesis testing, causal inference, and experimentation to evaluate pricing strategies, customer behavior, profitability, and policy effectiveness. Build scalable analytics processes, communicate insights to senior stakeholders, and partner with Finance and Marketing. Lead and develop analytics talent while evaluating responsible applications of artificial intelligence and automation.

Lead digital marketing analytics strategy through quantitative research, experimentation, customer behavior analysis, and campaign measurement. Build and manage a high-performing analytics team, develop scalable processes, partner with Marketing, Finance, Product, and Technology, and translate complex findings into business actions. Apply statistical, causal, econometric, and experimental methods while evaluating responsible uses of AI and automation to improve marketing optimization and decision-making.

Lead end-to-end forecasting and offer analytics for the full credit card portfolio. Responsibilities include forecasting optimization, automation framework development, ad hoc analytics and reporting, generative AI applications, process improvement, controls management, compliance certifications, and senior leadership communication. The role partners closely with product, finance, risk, campaign management, marketing, and other cross-functional teams.

Analyze large financial datasets to identify fraud risk trends, develop key risk indicators, build automated dashboards and recurring reports, and collaborate with stakeholders to inform and monitor fraud detection strategies while ensuring compliance and data governance.

Lead enterprise data risk analytics by defining and standardizing metrics, building dashboards and data products, monitoring trends, and delivering actionable insights to executives. Translate data policies into measurement frameworks, automate metric processes with AI, lead cross-functional initiatives, and mentor junior analysts. The role requires substantial data analysis, programming, business intelligence, stakeholder influence, and strategic data management experience.

The Portfolio Risk Associate will analyze portfolio trends, support risk monitoring, and generate insights using SQL and Python, collaborating with various internal teams.

Analyze Talent Acquisition and people data to identify hiring trends, bottlenecks, quality issues, and equity opportunities. Partner with recruiting and business leaders to translate ambiguous questions into rigorous analyses, validate data, monitor metrics, and deliver actionable recommendations. Lead analytics projects end to end while using storytelling, product management, design thinking, and data-driven iteration to improve employee and candidate experiences.

Drive people strategy analytics: analyze historical data and benchmarks, build statistical models, support product/marketing/credit risk decisions, partner cross-functionally, implement analytically driven solutions, and communicate data-driven stories to senior leaders.

Lead design, validation, and monitoring of fraud strategies using data analysis and AI/ML. Partner with product, technology, and operations to develop detection capabilities, test implementations, and balance fraud mitigation with revenue, cost, and customer impact.

The Sr Manager of Payor Performance Analytics drives financial, analytical, and operational components of payer contracting, overseeing reimbursement modeling and ensuring successful contract negotiations and implementation.

Lead analytics workstreams for health plan clients: define problems, analyze data, build models and dashboards, synthesize insights into strategic recommendations, manage client relationships, and collaborate with teams to deliver actionable solutions.

Lead and grow a marketplace growth analytics team to drive product and marketplace performance. Define success metrics, own experimentation strategy, deliver rigorous analyses (forecasting, causal inference, predictive modeling), partner with Product/Engineering/Finance, and translate insights into prioritized product decisions and reliable reporting. Balance strategic leadership with hands-on analytics and embed measurement into the product development lifecycle.

Support Chase Card Services by delivering credit risk analytics and insights to inform portfolio decisions and product features. Analyze performance, identify trends and root causes, present recommendations to leaders, maintain risk frameworks aligned to regulations, monitor behavioral data and industry trends, and partner cross-functionally to enhance decision rules and monitoring.

Develop, validate, and govern multi-year forecasting models estimating credit card customer engagement and balances. Produce incremental impact analyses using control groups, step-up factors, and performance monitoring; provide inputs to Finance for NPV/PTI, ensure model governance, documentation, and cross-functional alignment with Risk and Finance.

Perform end-to-end quantitative analytics for deposit pricing, focusing on CDs and elasticity testing. Analyze large money-movement datasets to inform pricing strategy, build automated interactive dashboards, ensure data accuracy, monitor competitor and macro trends, and present insights to senior leadership while partnering with pricing, finance, risk, marketing, and product teams.

Lead end-to-end quantitative research and segmentation studies using SQL, Python, and statistical methods. Analyze large datasets and surveys, synthesize findings into executive-quality insights, drive process improvements, mentor junior staff, and partner with product and senior stakeholders to integrate research into product development.

Perform advanced quantitative analyses on large card portfolio datasets to inform marketing, product, finance, and risk decisions. Build executive dashboards and reports, apply data mining and statistical techniques, translate customer behavior into actionable insights, partner with stakeholders to optimize campaigns and portfolio profitability, and contribute to analytics architecture and process improvements with limited oversight.

Support collections and recovery by building predictive models and analytics, monitoring trends, and translating insights into operational strategies. Collaborate cross-functionally to design, test, and implement data-driven solutions, present findings using visualizations and narratives, and act as a subject-matter expert to optimize performance and manage expenses.

Lead analytics for card acquisition risk: collect and analyze internal/external data, develop strategies and controls, partner cross-functionally, present recommendations, and ensure regulatory compliance to drive financial performance and loss mitigation.

Perform quantitative analyses of business lending portfolios to generate strategy recommendations, monitor portfolio and collection performance, design and test risk/growth strategies, produce periodic reporting, support ad hoc requests, and maintain audit‑ready documentation and controls.

Design and implement forecasting and automation solutions for finance. Translate business requirements into development-ready artifacts, collaborate with stakeholders and engineering, monitor solution performance, and document progress in JIRA.

Manage point-of-sale fraud risk strategies and perform complex analyses to reduce fraud losses while balancing customer impact. Develop and implement rules, policies, metrics, and reporting; query and transform large datasets; collaborate with cross-functional partners; present findings to senior management; and support development of fraud detection tools.