Top Senior Data & Analytics Jobs in Chicago, IL

Develop and maintain high-visibility Tableau BI solutions, including complex dashboards, embedded analytics, data integrations, and performance optimization. Translate business requirements into secure, accessible visualizations; validate data accuracy and usability; troubleshoot APIs and data connections; and apply Python, ETL, Agile, CI/CD, and AI-assisted development practices. The role also produces architecture artifacts, mentors developers, manages backlog responsibilities, and improves software and data-system quality.

Leads strategic and tactical analysis for third-party issuing opportunities within a global payments network. Responsibilities include identifying issuer opportunities, developing pricing and pitch materials, conducting SQL-based analysis, building Tableau reporting, evaluating operational solutions and risks, supporting product and credit-risk strategies, and collaborating with sales, product, operations, finance, and technology teams to implement business improvements.

Lead analytics for US Card: identify business opportunities, build and test models, support product/pricing and marketing, manage credit risk analysis, drive implementation, and partner with IT, Sales, Operations, and Finance.

Leads client-facing data validation and risk workstreams, developing reliable data pipelines, integrations, transformations, and validation controls. Manages project plans, budgets, timelines, deliverables, and team performance while analyzing data structures and system interactions to identify risks. Coaches team members, collaborates with stakeholders, improves database and query performance, promotes automation and AI-enabled tools, and ensures technical standards, documentation, and independence requirements are maintained.

Senior Data Engineer responsible for monitoring enterprise data pipelines, resolving production incidents, implementing data quality checks, automating operational workflows, and improving reliability across pharmacy data environments. The role also involves AI-enabled process optimization, data governance, documentation, technology evaluation, and operational best practices. Required experience includes data engineering, Azure cloud platforms, Scala or PySpark, SQL, Databricks, Airflow, Azure Data Factory, and production pipeline support.

Design, build, and operate batch, streaming, and hybrid data pipelines in a regulated healthcare environment. Develop dbt models in BigQuery, ingest structured and unstructured clinical data, and implement data quality, lineage, governance, and compliance controls. Support ML workflows, CI/CD, monitoring, incident response, and platform architecture. Collaborate with data scientists, clinical, quality, security, and product teams while mentoring engineers and establishing standards.

Leads a centralized contact center analytics function, managing analysts, prioritizing analytical requests, and setting operating standards. Performs complex analyses and executive insight reporting while building repeatable frameworks, automation, and responsible AI-assisted workflows. Partners with reporting and technology teams on data access and tools including MicroStrategy, Genesys, CallMiner, and Snowflake. Ensures analyses account for TCPA, FCRA, and FDCPA requirements while supporting strategic initiatives across customer service, lending, collections, complaints, workforce management, and related operations.

Architect and own marketing data infrastructure, including Databricks pipelines, Gold Layer tables, semantic models, and ETL/ELT workflows. Build trusted data products for analytics, automation, and AI agents; translate ambiguous business needs into scalable solutions; lead cross-team initiatives; ensure reliability and data quality; mentor engineers and analysts; and develop, evaluate, and monitor production LLM and agent systems using Python and SQL.

Administer and optimize P21/SQL databases, design logical and physical data models, manage SSRS reports and SSIS packages, ensure security, backups, and recovery, tune performance, collaborate with cross-functional teams and vendors, and document database procedures and policies.

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.

Lead the architecture and delivery of Salesforce Marketing Cloud and Data Cloud solutions for partner marketing. Design data models, knowledge graphs, identity resolution, batch and streaming pipelines, APIs, zero-copy integrations, and AI-enabled workflows. Establish orchestration, monitoring, CI/CD, governance, and reliability standards while mentoring engineers and partnering with marketing, data science, and Salesforce stakeholders.