Top Data & Analytics Jobs in Chicago, IL

Lead and develop a team delivering data conversion for customer implementations. Drive adoption of AI and automation, manage complex/at-risk migrations, track KPIs, and improve processes through experimentation and transformation.

Lead consumer lending analytics and strategy across credit card, HELOC, and Auto/RV products. Evaluate portfolio performance, member behavior, pricing, targeting, risk, profitability, and growth opportunities. Develop strategic recommendations, forecasts, business cases, and analytical frameworks using SQL and large datasets. Partner with finance, credit risk, marketing, operations, and technology leaders while managing, coaching, and developing an analytics team.

Leads consumer and professional research supporting Design-to-Value initiatives and product innovation. Designs and executes qualitative, quantitative, advanced analytics, and AI-driven studies; integrates primary, secondary, competitive, and category data; and translates findings into actionable recommendations balancing customer value, product performance, quality, and cost. Partners with product management, engineering, design, marketing, Agile teams, and external research agencies to inform product decisions, testing, refinement, and measurable business outcomes.

Support pricing and profitability strategy through analysis of pricing, sales, gross profit, customer behavior, and market data. Monitor competitor pricing, evaluate product/category performance, build dashboards and reports, segment product opportunities, and partner across teams to translate insights into pricing recommendations and initiatives.

Analyze business operations and complex datasets to identify trends, opportunities, and challenges. Use SQL, statistical methods, hypothesis testing, and Power BI to develop dashboards, executive reports, and actionable recommendations. Translate business requirements into analytical frameworks, design tests measuring incremental growth, collaborate with cross-functional stakeholders, and lead projects from initiation through completion.

Lead analytics for marketing and product decisions through causal inference, experimentation, and deep exploratory analysis. Design and evaluate A/B tests, build KPIs and dashboards, translate insights into recommendations for senior stakeholders, mentor analysts, and ensure data accuracy and integrity across platforms.

Lead Decision Science Analyst partners with product, marketing, engineering, and finance to design and analyze experiments, perform causal and exploratory analytics, build KPIs and dashboards, translate insights into recommendations for senior stakeholders, ensure data integrity, and mentor analysts to drive measurable business outcomes.

Own digital media reporting and measurement by building Power BI dashboards, defining KPIs, identifying trends, designing experiments, supporting data clean room and incrementality initiatives, and writing SQL queries for cross-platform insights. Collaborate with engineering on data pipelines and tracking frameworks, then communicate actionable recommendations to technical and non-technical stakeholders.

Analyze payment, lending, marketing, and credit-risk data to identify business opportunities, build strategic recommendations, develop and monitor statistical models, and support product and pricing decisions. Partner with IT, Sales, Operations, Finance, and other teams to implement solutions, improve performance, and drive profitability. The role requires strong quantitative reasoning, business judgment, communication, leadership, and execution skills in a fast-paced environment.

Design and build data validation, integration, and transformation solutions to support ERP implementations and risk/regulatory clients. Develop data pipelines and infrastructure, manage data validation processes, ensure data lineage and quality, manipulate large datasets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake, and collaborate with clients to deliver scalable, governed data solutions.

Design, develop, and administer advanced analytics dashboards, BI reporting, and data views. Partner with stakeholders to gather requirements, deliver production analytics, perform root-cause analyses, support data governance, and enable self-service analysis across laboratory, operations, and engineering teams.

Early-career Business Analyst in Apex’s SHARK program, starting July 2027. The role uses AI, automation, business intelligence, and data analysis to improve operational efficiency and support strategic decisions. Responsibilities include process optimization, financial modeling, client data analysis, competitive analysis, and cross-functional strategic initiatives. The position includes intensive onboarding, mentorship, executive exposure, and high-visibility projects in fintech.