Top Analytics Jobs in Minneapolis, MN

The Associate will generate insights, analyze data for better decision-making, enhance operational dashboards, and collaborate across teams to improve efficiency and report to leadership.

The role involves designing and maintaining data models and pipelines, collaborating with teams to drive insights, and building dashboards for analytics and reporting.

The role focuses on providing analytics services to game studios, including A/B testing, revenue analysis, and data contextualization for decision-making.

Lead partner analytics by building scalable dashboards, forecasting and ROI models, and experimental designs to evaluate and optimize partner performance. Collaborate with Product, BD, Marketing, and Data Engineering to improve pipelines, translate insights into recommendations, and mentor analysts to scale partner growth.

Lead analytics strategy, governance, and reporting to create trusted metrics. Drive insights across churn, retention, product telemetry, and marketing. Build analytical models, oversee Looker BI, partner with Data Engineering, establish data quality and AI-readiness, and hire and grow the analytics team to influence leadership decisions and business outcomes.

Lead a hands-on analytics team (player-coach) delivering deep-dive analyses, A/B testing, KPI dashboards, metric governance, and stakeholder-facing insights while managing and developing analysts and partnering with data engineering.

Analyze and reconcile enrollment and member data across Medicaid, Medicare, Marketplace, and Duals. Build reports and dashboards, fix data issues, apply statistical techniques, consolidate disparate sources, and partner with operations to ensure accurate coverage and regulatory compliance.

Lead embedded analytics for a core business area (growth, product, AI, or partnerships). Define problems, build metrics, run analyses and experiments, deliver insights and recommendations, and drive outcomes end-to-end with stakeholders.

Design and develop Power BI semantic models and scalable reporting solutions using Databricks Lakehouse. Build advanced SQL and DAX logic, optimize performance, enforce dataset governance, implement data quality checks, and develop predictive models. Collaborate with data engineering, refactor reports to governed semantic models, automate analytical workflows, and provide technical guidance and code reviews to junior developers.

Lead embedded BizOps analytics for a core business area (growth, product, AI, or partnerships). Define questions and metrics, build reports and experiments, surface insights, make data-driven recommendations, and drive cross-functional execution to impact key business metrics and scale the company.

Lead combined Analytics Engineering and Data Engineering teams owning the end-to-end data roadmap from ingestion to trusted metrics. Manage hiring and performance, set architecture and platform investments, enforce testing/monitoring/documentation standards, review technical decisions, and partner with product and business stakeholders to translate needs into prioritized deliverables.

Design, build, and maintain advanced Workday reports, dashboards, and analytics to inform workforce planning and talent strategy. Partner with HR, HRIS, IT, and business leaders to define metrics, validate and govern data, perform deep-dive analyses, support Prism integrations, and deliver executive-ready insights, documentation, and training to enable data-driven HR decisions.

Lead lifecycle marketing analytics projects from scoping to delivery, develop and maintain dashboards, deliver actionable customer insights, support strategic initiatives, partner with stakeholders, and mentor team members to improve marketing ROI and customer experience.

Own and build the data transformation layer using dbt and SQL on Trino/GCP. Design scalable data models, enforce modeling and testing standards, optimize query and ETL performance, integrate models with BI and reverse ETL, and collaborate with stakeholders to deliver reliable, auditable data products.

Serve as a trusted analytics partner to sales leadership to drive commercial strategy and revenue growth. Build and model complex data sets, design dashboards (Tableau/Power BI), automate reporting, explore AI-assisted analytics, and provide insights for forecasting, quota-setting, and sales performance. Collaborate with cross-functional teams and IT to improve data quality and scalable analytics solutions.

Build and maintain Power BI reports and semantic models, define enterprise KPIs, transform warehouse data into documented business-facing models, automate recurring analyses, partner with Finance/Operations/Marketing, and promote data literacy and scalable reporting across the organization.

Design, implement, and maintain dbt/Snowflake ELT transformations to convert raw clinical and multimodal health data into trusted, analysis-ready models; enforce data quality, lineage, testing, CI/CD, and documentation; collaborate with clinical and ML teams to harmonize ontologies and support de-identification and ETL across health systems.

Lead a cross-functional actuarial team to build and scale pricing/rating capabilities on the Earnix platform. Own technical model buildout, automation, analytics, collaboration with data science and engineering, vendor management, and talent development while driving strategic initiatives and translating complex technical work for business stakeholders.

Develop and productionize analytical models and data products to support underwriting and portfolio management. Apply statistical and machine learning methods to insurance datasets, perform exploratory analysis, feature engineering, validation, and create visualizations and presentations for technical and business stakeholders. Partner with underwriting, broking, actuarial, and portfolio teams to deliver scalable underwriting analytics and monitoring solutions.

Develop and productionize underwriting analytics, predictive models, and decision tools using statistical and machine learning techniques. Partner with underwriting, broking, actuarial, and portfolio teams to perform feature engineering, exploratory analysis, model validation, visualization, and monitoring to support risk segmentation, portfolio insights, and underwriting optimization.

Lead development and governance of the supply chain data warehouse and analytics platforms. Build SQL-driven models, dashboards, and KPIs to drive inventory optimization, cost reduction, supplier performance, and working capital improvements. Support ERP integrations and data migrations, perform deep data discovery and predictive analytics, and present actionable insights to senior leaders to enable strategic decision-making.

Lead revenue operations and business insights by owning GTM and revenue data integrity. Build reporting and AI-driven insights, run billable usage analysis, manage data flows with Fivetran/Salesforce/Sigma, investigate billing disputes, and translate data into actionable narratives for leadership.

The Director, Analytics Infrastructure & Pipeline Operations is responsible for creating automated data pipelines and centralized feature stores for data science, leveraging AI technologies to optimize workflows and ensure data quality.

Lead implementations and analytics for community health centers: run stakeholder meetings, extract/clean/analyze EHR data, write SQL, build reports and visualizations, provide consultative support and training, manage data initiatives, and recommend product improvements.

Lead implementations and ongoing analytics consulting for community health centers: extract, clean, and analyze EHR data (heavy SQL), build reports and visualizations, manage projects and stakeholders, train client data teams, and inform product improvements based on customer feedback and domain expertise.