Top Data & Analytics Jobs in Minneapolis, MN

Provide financial and statistical analysis, deliver scheduled and ad-hoc reports, reconcile trustee and cash reports, maintain loan assets in WSO, track ratings, and act as liaison among business, trustees, and vendors to support project implementation and reporting accuracy.

Combined Business Analyst and QA lead role in an agile team for data warehouse/ETL projects. Lead QA team, write user stories, create test strategy and test data, execute tests, perform complex SQL queries, Big Data testing (Hive/Talend/Pig or Informatica/SAS/DataStage), Unix/shell scripting, and coordinate onshore/offshore efforts. Healthcare experience required.

Lead complex healthcare data analysis and profiling across disparate sources to create source-to-target mappings, rewrite/redirect BI reports and semantic data views, gather and document business/technical requirements, and lead the work unit to ensure transformed reports meet business needs.

Design, develop, and optimize databases, complex queries, indexes, stored procedures, and ETL processes (SSIS). Create reports (SSRS), tune performance, and collaborate with application developers to deliver robust data solutions.

Design, develop, and maintain ETL processes using Informatica and Oracle for DW/BI projects. Perform SQL/PLSQL development, query tuning, and implement ETL/ELT frameworks. Troubleshoot, optimize, and collaborate with stakeholders in a global delivery environment, with emphasis on financial domain experience.

Design and architect data models and ETL/ELT frameworks using Informatica. Develop and troubleshoot integrations on Unix/Linux, engage business stakeholders, and apply payments domain expertise in a global delivery environment.

Design and implement data models and ETL/ELT solutions using Informatica. Build data warehouse/mart frameworks, work in Unix/Linux environments with shell scripting, troubleshoot complex issues, and collaborate with business users and BI stakeholders. Apply cards and payments domain expertise and strong analytical skills.

The Principal Data Engineer at HealthPartners leads data pipeline development, collaborates with teams to enhance data solutions, and implements best practices for data management and integration in healthcare services.

Deliver geospatial solutions including data management, spatial analysis, cartography, web app publishing, and automation. Collaborate with project teams, estimate effort, engage clients, and support asset management and GIS system integrations.

Lead enterprise people analytics and HR data strategy to deliver actionable workforce insights, forecasting, and AI readiness. Own data governance, quality, and activation; embed analytics into HR products and platforms; build and lead a multidisciplinary analytics and data strategy team to drive workforce planning and organizational effectiveness.

Serve as a BI expert for assigned applications: analyze business needs, support project releases, develop and execute testing, liaise with business lines, implement solutions, and report findings to ensure successful system deployment.

Consult with analytics teams to migrate on-premises analytics to cloud platforms. Provide hands-on migration support, enablement artifacts, and governance improvements (source control, data quality, observability) while removing technical roadblocks and accelerating cloud analytics adoption.

Perform data aggregation, statistical analysis and data mining. Design, develop and maintain ETL processes to extract customer data from ERP, cleanse and standardize it, and load into Salesforce.com. Work with clients and project leads to define analytical requirements. Temporary 2-month role based in Golden Valley, MN; needs immediate start.

Analyze and interpret customer and business data using aggregation, statistical analysis, and data mining. Perform ETL: extract, cleanse, standardize customer data from ERP systems and load into Salesforce. Work with clients and project leads to identify analytical requirements and maintain business solutions under general supervision.

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.

Develop and maintain application/system code using technical specifications; create and execute unit tests; ensure traceability and scalability; integrate with testing (UAT, CTP); perform code and test plan reviews; follow enterprise development methodologies; implement design patterns; troubleshoot code issues and validate technical compliance.

Design, build, test, and operationalize complex data pipelines and ETL solutions using Databricks and AWS. Analyze source data, enforce data governance, security and quality, resolve defects, collaborate with stakeholders, and support AI/ML and BI use cases.

Senior actuarial and analytics leader responsible for strategy, execution, and talent for reserving, pricing, forecasting, and analytic initiatives. Advises enterprise initiatives, approves analytic decisions, drives change, communicates results to senior leaders, and builds high-performing teams through hiring, development, and succession planning.