Top Senior Data & Analytics Jobs in Minneapolis, MN

Design and build Account 360 data architecture, predictive pipelines, and automated enrichment workflows using enterprise, telemetry, and software usage data. Apply Python, R, SQL, machine learning, NLP, and process mining to deliver insights, segmentation, scenario planning, and product optimization. Collaborate with R&D, Product, Sales, Marketing, and Service teams while rapidly deploying data products, managing sprint capacity, reducing technical debt, and supporting cross-training.

Owns discovery and requirements for complex, cross-functional data, automation, and AI initiatives. Structures ambiguous problems, creates requirements and process artifacts, facilitates senior stakeholder alignment, evaluates tradeoffs, supports prioritization, and anticipates integration and downstream impacts. The role also mentors business analysts, reviews their work, improves analysis standards, and promotes knowledge sharing. Experience with data platforms, analytics, workflow automation, AI initiatives, requirements management, and stakeholder facilitation is required.

Manages a data engineering and integration team delivering scalable data solutions aligned with technology, security, governance, and compliance standards. Oversees architecture implementation, delivery planning, data quality, lineage, metadata, risk management, operational performance, and continuous improvement. Leads hiring, coaching, resource allocation, and performance management while partnering with business stakeholders, architects, application teams, analytics groups, vendors, and technology leadership.

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.

Build and operationalize data pipelines and cloud data solutions using AWS, Databricks, dbt, SQL, and PySpark. Responsibilities include data transformation, cleansing, governance, security, quality, testing, defect resolution, source analysis, and supporting AI, machine learning, and business intelligence. The role collaborates with business partners and cross-functional teams to design solutions, deliver data products, and improve analytics capabilities.

Manages advancement data governance, CRM integrity, prospect research, wealth screening, segmentation, dashboards, and fundraising reporting. Maintains Raiser's Edge/NXT data, develops donor profiles and intelligence briefs, tracks prospect pipelines, supports gift officers and leadership, and provides analysis for campaigns, events, communications, and board reporting. Coordinates data integrations, audits, training, list preparation, benchmarking, and cross-functional initiatives supporting fundraising and alumni engagement.

Design and maintain enterprise business intelligence platforms, including dimensional models, semantic layers, data warehouses, Power BI solutions, and Microsoft Fabric integrations. Optimize SQL, DAX, refresh processes, and semantic model performance. Establish BI governance, security, deployment pipelines, source control, testing, monitoring, and documentation. Lead complex initiatives, evaluate emerging technologies, and translate business needs into scalable solutions while communicating technical recommendations and risks to diverse stakeholders.

Senior Data Analyst managing customer reporting needs, designing data marts and repositories, and developing Tableau dashboards and reports. Responsibilities include descriptive, diagnostic, predictive, and prescriptive analysis; achievement modeling; Excel template creation; process improvement; and calculating program results from raw data. The role collaborates with sales, client services, technical teams, and customers, requiring strong SQL, Tableau, Excel, Power Pivot, communication, and problem-solving skills.

Analyzes digital product performance across web properties using Adobe Analytics, Google Analytics, tagging systems, statistical modeling, and data visualization. Develops measurement requirements, tracking specifications, dashboards, and actionable insights for product and marketing teams. Troubleshoots tags and data collection, supports experimentation and quality assurance, establishes analytics standards, and mentors analysts while communicating findings to stakeholders.

Technical lead for Finance Technology data engineering: design and build scalable batch and real-time data pipelines (Hadoop/Spark/PySpark/Scala/Java), optimize data models and APIs, drive cloud-based data architecture (AWS/GCP/Azure), enforce governance/security, and mentor engineers to deliver enterprise financial data services.