Top Analytics Jobs in Chicago, IL

Leads end-to-end marketing analytics for small business acquisition campaigns, including opportunity sizing, targeting, experimentation, performance reporting, profitability, and ROI measurement. Partners with Marketing, Finance, Modeling, and Data teams to guide investment decisions and improve measurement rigor. Owns stakeholder delivery, data requirements, analytic frameworks, controls, and auditability while coaching junior analysts and translating complex findings into clear recommendations for senior audiences.

Provides analytics and strategic advisory support for mergers, acquisitions, and other business transactions. Analyzes contract data to identify risks, obligations, performance insights, and compliance indicators; develops algorithms, data models, pipelines, dashboards, and predictive models using Python and machine learning. Collaborates with clients and internal teams, validates data integrity and security, mentors junior staff, and delivers data-driven recommendations.

Supports client-focused data analytics projects within PwC’s Advisory practice. Responsibilities include analyzing datasets, researching information, developing data-driven insights, using Alteryx and Power BI to automate processes and create visualizations, developing algorithms, creating KPI dashboards, applying data mining techniques, and integrating data from multiple sources. The intern will learn PwC methodologies, collaborate with experienced professionals, and gain exposure to AI, cloud platform design, and data architecture.

Supports PwC Deals diligence analytics projects through data gathering, analysis, research, visualization, data mining, algorithm development, and preparation of reports and presentations. The intern will use Alteryx and Power BI, integrate data from multiple sources, develop data-driven insights for clients, and learn from advisory professionals while contributing to cloud, data architecture, and AI-related initiatives.

Supports business analytics and data-driven projects within PwC’s Assurance practice. Responsibilities include researching business challenges, analyzing data, identifying process improvements, developing business cases, modeling processes, gathering requirements, creating functional specifications, and supporting audit compliance and project management. The intern will collaborate with stakeholders, learn from experienced professionals, and contribute actionable insights for client engagements.

Leads the commercial analytics function, developing advanced analytics frameworks, performance metrics, dashboards, forecasts, and strategic insights. Partners with senior leadership and cross-functional teams to optimize sales performance, resource allocation, commercial strategy, and operational efficiency. Oversees data quality, competitive analysis, sales compensation planning, analytical tools, and direct-report performance while promoting data-driven decision-making across the organization.

Analyzes funnel and loan performance metrics, builds automated SQL and Python reporting and alerts, evaluates trends and A/B tests, and recommends underwriting and product optimization strategies. Collaborates with cross-functional teams to implement changes, monitor releases, and assess impacts.

Supports the Marketing Analytics team by monitoring funnel metrics, analyzing performance with SQL and Python, identifying drop-off drivers, and communicating recommendations. Maintains dbt data models in Snowflake, enhances Periscope dashboards, and partners with Marketing, Risk, and Engineering on strategy changes, releases, testing, and impact analysis.

Lead programmatic analytics for clients and internal teams by analyzing campaign and model performance, designing tests, developing measurement solutions, recommending optimizations, and presenting actionable insights. Partner with Sales, Customer Success, Product, Engineering, and clients to align marketing strategies, reporting requirements, and optimization efforts with business goals.

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 analytics for Pricing and Supply, managing a team of approximately eight analysts. Partners with cross-functional leaders to prioritize analytical work, build dashboards and decision frameworks, improve metric quality, and generate insights into pricing, supplier coverage, marketplace performance, conversion, margin, and customer behavior. Coaches analysts, establishes scalable analytics processes, and collaborates with data engineering teams to improve data models, tooling, and self-service capabilities.

Leads data governance, risk mitigation, analytical tool validation, and program development for Global Payment Networks. Responsibilities include planning validation projects, assessing analytical methodologies and tool risks, researching industry practices, preparing reports and presentations, and coaching junior staff. The role requires managing concurrent projects and applying data analytics, risk management, statistical, and project management expertise to develop enterprise-wide controls and processes.

Design and execute advanced statistical and data analyses for client projects, using tools such as R, Tableau, SAS, VBA, and Excel. Translate data into actionable insights, communicate findings to clients and internal teams, collaborate on solution implementation, and take ownership of project deliverables.

Lead revenue analytics by developing business cases, dashboards, KPI frameworks, experiments, and automated analytics solutions. Partner with client success, marketplace, merchants, and cross-functional teams to evaluate performance, guide go-to-market decisions, quantify product value, and scale data-driven execution. Serve as the analytics subject matter expert while translating structured and unstructured data into actionable recommendations and compelling stakeholder narratives.

Lead end-to-end analytics for major platform partnerships, identifying growth opportunities and informing product, investment, risk, and pricing decisions. Conduct complex analyses, design experiments, build scalable data models, metrics, dashboards, and AI-assisted workflows, and translate findings into business recommendations. Partner cross-functionally with Product, Engineering, Finance, Revenue, and Strategic Partnerships while mentoring analysts and improving analytical practices.

Analyzes large, complex datasets from multiple sources to identify trends, answer business questions, and develop actionable recommendations. Applies statistical techniques, predictive modeling, and analytics tools; communicates findings through clear presentations and visualizations; collaborates with marketing and business partners; monitors outcomes and adjusts recommendations; and ensures data handling complies with company standards.

Develops finance analytics, reporting, metrics, statistical models, and scalable business intelligence solutions. Partners with stakeholders to translate business strategies and data flows into actionable historical and predictive insights. Supports governance, change management, issue resolution, and strategic prioritization while using SQL, Excel, databases, and analytics tools. May lead small projects and mentor less experienced colleagues.

Own product analytics for Double Good, measuring feature adoption, engagement, completion, and conversion. Design and evaluate experiments, define product metrics and event instrumentation, analyze funnels, cohorts, paths, and segments, forecast product impact, and identify user friction. Partner with Product, Design, Engineering, BI, and Data Science to prioritize opportunities, maintain dashboards, deliver actionable recommendations, and influence the product roadmap through rigorous data analysis.

As a Senior Commercial Insurance Analyst, you'll perform complex analyses on data to drive business performance and risk outcomes. You'll collaborate with various teams, generate actionable insights, and mentor junior analysts, all while fostering a data-driven culture and improving operational efficiency.

Own marketing analytics and measurement across campaigns, paid media, partners, field marketing, and demand generation. Build attribution models, forecasts, scenario analyses, Tableau dashboards, experiments, and predictive models. Translate data into strategic recommendations and budget decisions for marketing leaders, maintain data quality across martech systems, partner cross-functionally on performance reporting, and mentor junior analysts while establishing analytics best practices.

Partners with business leaders to transform complex data into actionable insights. Leads analytics initiatives involving data analysis, KPI frameworks, experimentation, forecasting, performance measurement, dashboards, and visualization. Uses SQL, Python, Power BI, and cloud data platforms to support strategic decisions, improve customer experiences, and drive business performance. Collaborates with technology, data engineering, and governance teams while mentoring analysts and promoting data-driven practices.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; surface insights; make recommendations; and drive decisions and execution with cross-functional leaders. The role requires strong independent analytical skills, first-principles problem solving, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Leads a team of five experienced analysts and data scientists while personally owning strategic analytics across ecommerce, health, supply chain, inventory, fulfillment, and merchandising. Partners with executives, establishes KPI and reporting standards, prioritizes the analytics roadmap, and delivers actionable business insights. The role also advances AI-native, self-service analytics capabilities, strengthens data governance and quality, and builds a high-performing analytics culture.

Manages marketing technology, CRM data analytics, AI-enabled data enrichment, and data quality initiatives. Develops governance guardrails, standards, controls, and processes to maintain accurate data. Analyzes marketing and business development information to identify revenue and operational efficiency opportunities, creates recurring reports, collaborates with vendors and internal stakeholders, and implements tools that support strategic decision-making and demand generation.

Analyzes fraud and account takeover risks using SQL, SAS, Excel, Tableau, and relational databases. Develops and maintains fraud detection rules, mitigation controls, monitoring processes, performance reports, and segmentation strategies. Investigates major fraud losses and emerging trends, identifies root causes, recommends policy improvements, and provides actionable insights to cross-functional stakeholders and senior management. The role focuses on minimizing fraud losses while reducing customer friction and improving operational performance.