Top Data & Analytics Jobs in Minneapolis, MN

Leads server-side tagging, marketing pixel, and CAPI implementations for clients. Responsibilities include architecture, QA, troubleshooting, UAT, implementation documentation, data quality support, stakeholder training, and coordination with client development teams. Serves as the technical advisor for Tealium, Adobe Experience Platform Tags, Google Tag Manager, and related tracking infrastructure. The role also manages client relationships, supports measurement strategy, and develops one to two direct reports.

Design and develop Business Objects Web Intelligence reports and UNV/UNX universes. Analyze and query data using SQL across Teradata and Microsoft SQL Server, while leveraging Excel and Access. Preferred experience includes SAP Lumira, SAP Explorer, QlikView, SAP or ERP systems, complex data structures, data mining, and 3M data systems and sources such as HANA, BW, GEDW, and SQL Server.

The Senior eDiscovery Analyst advises litigation teams and clients on ESI preservation, collection, processing, review, analysis, and production. The role manages Relativity applications, develops discovery databases and documentation, troubleshoots data, and supports cloud and collaboration data sources. It designs and validates Relativity aiR workflows, mentors analysts on generative AI, and ensures defensible review practices. The analyst also manages multiple projects, maintains technical expertise, supports clients and vendors, works Eastern Time hours, and meets a 1,400-hour annual billable goal.

Build and maintain analytics-ready datasets and semantic models in Microsoft Fabric using SQL, dimensional modeling, DAX, and Power Query. Validate data quality, standardize metrics, support BI reporting, improve dataset usability, and align models with governance and architectural standards. Collaborate with BI developers, ETL engineers, business stakeholders, and data governance teams to deliver trusted, reusable analytical assets.

Designs, develops, and supports SQL Server databases, SSIS ETL processes, Power BI reports, dashboards, datasets, and analytics platforms. Responsibilities include database administration, performance tuning, data integration, dimensional modeling, data governance, security, reporting standards, and business requirements gathering. The role also supports ERP integrations, data quality initiatives, enterprise analytics, and application enhancement projects while partnering with technical and non-technical stakeholders.

Supports the Mission Critical team by analyzing operational data, identifying inefficiencies and root causes, and developing dashboards, visualizations, KPIs, and executive insights. Designs process and technology improvements, monitors adoption, creates SOPs and training materials, and collaborates with data engineering, field technology, project teams, and leadership to implement scalable solutions.

Own sales forecasting and pipeline reporting on the Anaplan platform. Partner with Field Operations and cross-functional teams to deliver actionable reporting for forecasting, pipeline management, account planning, territory oversight, strategic initiatives, and performance tracking. Ensure data accuracy across systems, translate business requirements into technical reporting solutions, coordinate priorities across teams, and communicate reporting changes to stakeholders.

Serves as a CPG category expert by analyzing syndicated, panel, and research data; developing client reporting and sales presentations; presenting insights and actionable recommendations; supporting category management projects; monitoring client KPIs and strategies; coordinating meetings; and participating in customer sales calls.

Analyzes syndicated, panel, and research data to support category management projects, client reporting, sales presentations, and actionable recommendations. Presents insights to customers and clients, monitors KPIs and strategies, coordinates meetings, supports upcoming projects, and attends customer sales calls. Requires advanced Excel, PowerPoint, Visual Basic, macro, data-mining, and CPG analytics skills.

Lead and support actuarial data projects: investigate and extract data, validate reports, address data quality, modify SQL/SAS/4GL programs, produce tabular/graphical outputs, communicate results, coach team members, and participate in project leadership and data-system decisions.