Top Senior Analysis Reporting Jobs in Minneapolis, MN

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.

Lead analytics and operations initiatives: design end-to-end data solutions, build Power BI dashboards, embed AI and automation via Copilot and Power Platform, administer SharePoint and Smartsheet, drive cross-functional processes, and deliver scalable KPIs and reporting.

Design, implement, secure, and maintain Azure-based data lakes, lakehouse, and relational/non-relational databases. Build data transformation and ingestion pipelines, optimize access patterns, implement backup/recovery and CI/CD, collaborate with teams on security and documentation, and mentor other database engineers.

The Sr. Business Analyst will lead finance projects, manage requirements, and ensure quality solutions in ERP implementations while liaising with business users.