Top Senior Data & Analytics Jobs in Minneapolis, MN

Architect and administer Big Data ETL platforms (Talend/Hadoop ecosystem). Install/support Talend for Big Data, perform capacity planning, troubleshoot performance across Hadoop/Hive/HBase/Pig/Spark, provide on-call and war-room support, and work with UNIX, SQL and scheduling tools.

Lead product strategy and roadmap for enterprise marketing data products (MDP, Customer 360, conversational analytics). Coordinate data engineering delivery, design scalable data models, improve data governance and quality, modernize cloud-native architectures, and enable AI-ready customer intelligence to support measurement, personalization, and commercial decision-making.

Lead analytics, reporting, and data warehouse strategy for Respiratory Health. Build KPI frameworks, oversee data governance and quality, translate business needs into scalable data solutions, drive advanced analytics/AI initiatives, and manage a high-performing BI and data enablement team while partnering with IT, Finance, and Operations.

Design, develop, and maintain scalable ETL/ELT pipelines and Snowflake data models; optimize performance; ensure data quality and integrations with CRM/ERP/billing systems; collaborate with stakeholders and evolve a Snowflake/dbt cloud-native data platform.

Analyze and optimize a consumer credit card portfolio through lifecycle analytics, marketing measurement, dashboard development, and cross-functional collaboration to drive acquisition, engagement, retention, and profitability.

Support business technology by developing Power BI dashboards, low-code Power Apps/Power Automate solutions, validating and analyzing data with SQL, improving data governance, participating in SDLC, providing user support and training, and automating business processes to increase efficiency and data accuracy.

The Business Analyst will support data management, client reporting, and sales processes, ensuring data integrity and resolving issues. Responsibilities include maintaining client relationship systems and performing reconciliations of systems.

As a Senior Data Analyst, you'll drive supply chain efficiency through data analytics, developing tools to optimize inventory, forecast demand, and support decision-making across operations.

Lead the insights & analytics team to manage databases, standardize reporting, and deliver syndicated (Circana) insights and KPI dashboards to inform strategic planning, budgeting, and investment decisions across categories, channels, and customers.

Lead client analytics engagements end-to-end, manage delivery timelines and economics, mentor data teams, design KPIs and business cases, translate complex data into actionable insights, implement cloud data platforms, BI, ETL and scripting solutions, and run workshops and knowledge transfer for non-technical stakeholders.