Top Data & Analytics Jobs in Minneapolis, MN

Lead design and implementation of large-scale Azure cloud data systems and ETL/ELT pipelines using Databricks, Spark, Snowflake and LLM integrations. Build AI-driven solutions, optimize SQL performance, define architecture and best practices, mentor engineers, collaborate with stakeholders, and drive scalable, secure data platforms for analytics and machine learning.

Designs, builds, and maintains secure data pipelines, ETL processes, data warehouses, and quality controls. Collects, validates, cleanses, and analyzes data; develops SQL queries, Tableau dashboards, and AWS-based solutions; investigates data integrity issues; documents standards; and partners with stakeholders to deliver technical solutions using Agile and DevOps practices.

Design and drive enterprise-scale, hybrid cloud data architectures; define patterns and reference architectures; modernize legacy systems; ensure security, scalability, resiliency, and cost-effectiveness; mentor teams and advise senior leadership; enable data integration for analytics and AI workloads.

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

Analyzes account portfolio whitespace, pipeline, deal performance, campaign attribution, rep productivity, budgets, forecasts, and expenses. Builds models and executive reporting to improve revenue planning, forecast accuracy, and account management decisions. Partners with Account Management, Finance, Marketing, Contract Administration, and regional leaders; validates Salesforce data and translates complex findings into actionable recommendations.

Design, build, and maintain scalable ETL/ELT pipelines and data warehouse architecture. Partner with cross-functional teams to define KPIs, ensure data quality and governance, own billing data infrastructure, and deliver dashboards and analytics for leadership while mentoring peers.

Leads analysis of infrastructure, platform, operational, and service data to identify performance trends, risks, capacity constraints, and optimization opportunities. Develops reliability, availability, performance, and capacity KPIs; performs anomaly detection and root-cause analysis; and supports infrastructure modernization decisions. Builds scalable analytics solutions using SQL, Python, Alteryx, APIs, and Power BI while partnering with engineering, operations, SRE, architecture, and technology leadership teams.

Mobile Analyst role requiring 6+ years experience. Candidate must have strong SQL skills and experience with DOMO, Snowflake, and Adobe Analytics (or similar). Position is located in Shakopee, MN, 12+ month duration, and restricted to U.S. citizens/local candidates.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Owns business and category performance analytics across syndicated and retailer data sources. Maintains data quality, governance, hierarchies, and KPI definitions; delivers recurring reporting; builds automated dashboards; conducts forecasting, regression, pricing, promotion, distribution, and share analyses; and translates findings into actionable recommendations. Partners with Brand, Finance, Sales, and data vendors to improve data literacy, resolve issues, and support evidence-based decision-making.