Top Analytics Jobs in Minneapolis, MN

The role involves collecting, processing, and analyzing data to generate insights, supporting report creation, and improving data processes.

This internship provides hands-on experience in data science and analytics, involving data extraction and visualization, project collaboration, and improving reporting systems.

As an Actuarial Analyst, you will build forecast models, analyze healthcare claims data, and develop actionable insights to improve health outcomes.

The Associate Director will lead medical expense analytics and reporting processes, collaborate across teams, analyze healthcare datasets, mentor analysts, and drive improvements.

The Cloud FinOps Specialist analyzes and optimizes cloud costs, develops reporting pipelines, and collaborates with engineering teams to enhance cost efficiency and reliability.

Responsible for collecting, processing, and analyzing complex datasets to generate actionable insights, building reports and dashboards, and collaborating with cross-functional teams.

The role involves partnering with finance leaders to provide analytical insights, designing frameworks, developing dashboards, and leading a high-performing analytics team while utilizing SQL and data visualization tools.

Drive analytical insights and strategies for borrower acquisition and retention, partner with various teams to enhance growth, and mentor junior analysts.

As a Senior Associate, assist clients with cloud data strategies, implement cloud data architectures, and collaborate with teams to drive business results using data analytics.

The Business Data Analyst will design and maintain analytical tools and metrics, translate business needs into data-driven insights, and enable strategic decision making through effective data visualization and storytelling.

The Lead Data Analyst will utilize deep data insights to drive strategic initiatives within the Customer Success team, focusing on metrics, trends analysis, and cross-functional collaboration to enhance customer experience and operational efficiency.

This role oversees a team that analyzes MetLife's mortgage portfolios, delivers high-impact analytics, and collaborates with various stakeholders for reporting and compliance.

The Analytics Manager for Credit Risk will lead credit strategy, enhance underwriting with machine learning, and manage cross-functional partnerships, focusing on data analytics and risk knowledge.

The Executive Director leads Global Clinical Pharmacology & Development Technology Solutions, overseeing technology strategy, solution delivery, and team leadership to support R&D initiatives in cancer treatment.

The SVP of Analytics Solutions will lead a global team to define, build, and commercialize analytics capabilities, drive client impact, and support business growth through innovative data solutions.

As a Staff Analytics Engineer, you will bridge data engineering, data science, and business analytics to generate actionable insights, build data models, and empower stakeholders across the organization.

Lead analytics engineering for finance data, delivering governed models and reporting solutions, improving data quality and controls, and partnering with multiple stakeholders.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

Lead analytics strategy for a financial institution, ensuring compliance and driving marketing analytics through predictive modeling and team management.

The Data Analyst will analyze and transform complex datasets into actionable insights, supporting federal healthcare decision-making and ensuring data quality.

The Sr. Director of Data Analytics & Reporting leads data strategy initiatives, manages data teams, and drives data-informed decision-making across Cargill's food sector.

The Strategist III, Value Analytics will own strategic workstreams, revamp dashboards for billing data, conduct analyses, and lead independent projects, improving Cedar's reporting suite.

The Senior Analytics Engineer will build and scale the analytics foundation, transforming data for decision-making across multiple teams and ensuring data quality and automation.

Manage and validate financial models, ensuring accuracy and compliance. Collaborate across teams to improve model performance and frameworks.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.