Top Senior Data & Analytics Jobs

Leads and develops a data engineering team responsible for ingestion, Snowflake administration, orchestration, CI/CD, data integrations, and platform reliability. Owns technical strategy, production operations, access controls, cost management, incident response, and engineering standards. Partners with product, analytics engineering, DevOps, and business stakeholders to deliver scalable data solutions. Mentors engineers, sets goals, prioritizes work, and supports organizational growth.

Own Bay FC’s fan analytics narrative and translate business, market, and consumer data into actionable commercial recommendations. Analyze revenue performance, growth opportunities, brand health, audience segments, fan lifecycle behavior, and campaign effectiveness. Partner with Marketing, Ticketing, Merchandise, and senior leadership on analytical projects, business reviews, testing frameworks, and executive-ready insights. Build unified fan profiles, guide audience targeting, and influence organizational strategy through clear data storytelling.

Leads the technical architecture, data infrastructure, analytics, and operational systems supporting a teacher residency program. Maintains dashboards, databases, integrations, user access, compliance systems, surveys, reporting, and predictive monitoring. Uses data to identify at-risk residents, guide interventions, improve matching and placement, and support program decisions. Manages external developers and collaborates with leadership, universities, districts, mentors, and staff. Requires approximately two onsite days weekly in Chicago or Lake County, with additional onsite support during major events.

Creates, edits, analyzes, and manages digital terrain databases, aerial imagery, topographic data, map data, and related datasets for Army simulation federates and mission command systems. Configures terrain production tools, maintains historical datasets, collaborates with government and geospatial organizations, and supports CPX operations, federate execution, workstation instruction, and operational troubleshooting.

Owns the architecture, development, and support of data pipelines and integrations connecting Oracle Cloud Financials with enterprise data lakes, analytics platforms, Workday, banking systems, and third parties. Ensures financial data security, compliance, lineage, reporting reliability, and incident resolution. Leads Oracle Financials integration workstreams through implementation and hypercare, improves automation and performance, and provides technical mentorship and after-hours escalation support.

Leads client-facing business intelligence solution delivery from discovery through development, validation, release, training, and continuous improvement. Translates stakeholder needs into requirements, roadmaps, priorities, and delivery plans while coordinating BI analysts, developers, engineers, and business leaders. Ensures data quality, governance, adoption, and measurable business outcomes. Manages risks, escalations, scope, and stakeholder expectations, while identifying opportunities involving automation, advanced analytics, and AI-enabled capabilities.

Leads consumer analytics and insights for North American brands. Manages advanced analytics projects, suppliers, learning plans, and analytics pilots; analyzes syndicated and internal data; develops and tests hypotheses; translates complex findings into actionable brand, media, content, and innovation recommendations; and influences senior leaders and cross-functional teams through compelling insight narratives.

Designs and maintains data pipelines, data lakes, ETL processes, data integration workflows, and enterprise data platforms. Transforms and optimizes data using Databricks, Python, and SQL. Develops dashboards, reports, scorecards, and KPI solutions with Amazon QuickSight and Tableau. Works with PostgreSQL, Oracle, AWS RDS, and Starburst while ensuring data quality, performance, security, governance, and effective data modeling.

Develop and maintain Python automation, SQL datasets, Power BI dashboards, data pipelines, and supply chain monitoring tools. The role supports inventory optimization, procurement risk monitoring, manufacturing readiness, SAP data analysis, master data validation, and continuous improvement. It reduces manual reporting and spreadsheet processes while enabling proactive supply chain control tower capabilities.

Build and maintain Snowflake data platforms, ELT pipelines, dbt models, data quality controls, lineage documentation, and analytics layers. Lead Snowflake Cortex and AI implementations, optimize platform performance and costs, onboard data sources, and partner with business, compliance, finance, and operations teams. The role requires strong SQL, dbt, Snowflake, Python, governance, and financial-services data expertise, with occasional after-hours support and minimal travel.