Top Analytics Jobs in Minneapolis, MN

The Data & Analytics team at Surescripts transforms healthcare data into actionable insights, collaborating with various stakeholders to support critical decisions across the healthcare ecosystem.

Lead Pager Health’s enterprise data and reporting strategy, build a centralized data and reporting shared services function, own internal dashboards and client-facing analytics, partner with Product and Engineering on data architecture and governance, mentor data teams, prioritize and deliver data initiatives, and drive continuous improvement in tooling, automation, and data storytelling to support growth, efficiency, and client outcomes.

Lead a team of data and infrastructure engineers to develop cloud-based data systems and solutions for analytics, ensuring best practices in data management and MLOps.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success.

The Senior Analytics Engineer will develop data pipelines, build models, and create dashboards to provide actionable insights for various teams. The role requires collaboration with multiple stakeholders to meet analytical needs and ensure data governance.

The Senior Analyst executes customer decisioning strategies, monitors performance reporting, collaborates with strategy owners on KPIs, and conducts data analysis while adhering to governance standards.

Manage analytics to improve billing and account experiences, financial performance, and customer service. Collaborate across teams to turn data into actionable insights.

The Associate Director, Data Strategy will establish and deliver a comprehensive data strategy for rare diseases, partnering with stakeholders to manage data sourcing, governance, and reporting, while ensuring alignment with business priorities.

The Staff Analyst will design analytical frameworks, lead business case development, and provide insights across departments while mastering insurance analytics.

Analyze policy filings, support ePublishing updates, assist with compliance audits, and collaborate with team members for consistent language implementation.

The Analytics Lead will leverage data analytics to optimize credit strategies, monitor portfolio performance, and collaborate on credit policy with stakeholders across technical and non-technical teams.

This leadership role involves managing actuarial and analytics activities, leading strategic initiatives, driving innovation, and overseeing a team responsible for CMP line management and data modernization.

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

The role involves designing reports and dashboards for HR metrics using Power BI. It requires analyzing HR data, ensuring data quality, and collaborating with stakeholders. The position also includes supporting junior team members and maintaining data platforms.

The Advanced Analytics Analyst supports data analytics projects to enhance audit effectiveness and improve risk insights through data and technology. Responsibilities include developing data queries, collaborating with audit teams, creating visualizations, and maintaining documentation.

The Staff Analytics Engineer will own the Financial Subledger Data Platform, build dbt models, implement data quality controls, and mentor a junior engineer, ensuring high operational reliability and cross-functional collaboration.

The Senior Manager, Risk Analytics will build and own Upstart's risk analytics program, managing Key Risk Indicators, data models, and reporting infrastructure for enterprise-wide risk monitoring and compliance. They will collaborate with risk owners and conduct data aggregation and reporting, supporting risk assessments and regulatory requirements.

The Director of Data & AI Alliances will develop strategic partnerships, drive joint go-to-market strategies, manage partner relationships, and lead initiatives that enhance revenue growth and partner engagement in data and AI ecosystems.

Lead imaging service line analytics: design and implement data models, dashboards, automation, and predictive/prescriptive analytics; ensure data quality and governance (HIPAA/IRB); lead cross-functional projects and a team; communicate insights to stakeholders; and support research, operational decision-making, and strategic initiatives.

Lead reserving and loss analytics for reinsurance, collaborating with pricing, underwriting, and finance. Drive improvements and insights in a team-oriented environment, while applying advanced analytical tools and methodologies.

Lead development and deployment of standardized, scalable manufacturing analytics and dashboards (capacity, throughput, WIP, cycle time, yield, OTS). Integrate ERP, SPC, LIMS, and cloud data to enable daily operations cockpits, predictive analysis, and cross-site performance visibility. Partner with Operations, Engineering, Planning, and Digital teams to drive adoption and continuous improvement.

Lead decision science efforts for corporate and people analytics by designing experiments, performing explanatory and inferential analyses, building diagnostic and multivariate models, synthesizing insights, influencing strategic decisions, ensuring data quality and best practices, and mentoring analytic talent while partnering across the enterprise.

The Analyst provides strategic research and analytics to optimize donor strategies for fundraising, ensuring data accuracy and creating comprehensive profiles of prospective donors.

The Applied Data Scientist will manage client engagements, unifying datasets, building models, deriving insights, and collaborating with teams to implement solutions.