Top Remote Analytics Jobs in Detroit, MI

The Director of Analytics will lead data strategy, convert data into business insights, and mentor analytics teams to drive growth.

The People Analytics Partner collaborates with HR and business leaders to provide data-driven insights and recommendations for talent decisions and survey strategies.

The Senior Data Analytics Engineer develops business intelligence solutions using the Microsoft Analytics stack, collaborates with clients, and delivers scalable data solutions.

Lead Oracle Cloud reporting initiatives, ensuring data accuracy and performance while mentoring junior analysts and collaborating with stakeholders.

The intern will support special projects in data analytics, including administration, research, and development of data-related standards and documentation.

The Director of Data & Analytics will define and execute the data strategy, lead a team, and collaborate across departments to ensure data is a strategic advantage for the company.

The Strategy and Analytics Associate conducts analyses, creates presentations, collaborates with clients and sales teams, and enhances partner relationships to drive value in identity verification services.

The Associate Director will lead BI&A research projects, translate data into strategic insights, and communicate findings to senior leadership within a fast-paced biopharmaceutical environment.

The role involves leading data analytics and AI solutions for underwriting, translating data into insights, and managing analytics projects.

The role involves performing product usage analyses, designing A/B tests, leveraging AI tools for insights, and working cross-functionally to improve business performance metrics.

The role involves delivering complex analyses, building data visualizations, mentoring junior staff, and engaging with business leaders to drive analytical solutions for business challenges.

The Senior People Analytics Analyst will analyze workforce data to inform decision-making, develop reports, KPIs, and predictive models, ensuring data integrity across systems while collaborating with various teams.

The Sr. People Analytics Engineer will lead HR data governance, build data pipelines in Snowflake, and create Power BI dashboards, enhancing HR analytics capabilities.

Lead analysis and reporting of regulatory data for P&C insurance, collaborating with teams to build SQL queries and modern data pipelines.

Lead the development of business analytics at PushPress. Build dashboards, analyze data trends, provide insights, and support strategic decisions across departments.

The role involves leading pricing strategy and analysis for auto lending, collaborating with cross-functional teams to enhance pricing models and drive profitability.

The Associate Actuary analyzes data to forecast financial information, supports strategic decisions, and develops reports while collaborating with stakeholders.

The Manager of Insurance Analytics will lead a team to build an analytics framework, ensuring accurate reporting and driving data-driven decisions while collaborating with multiple stakeholders.

As an Analytics Developer, you'll analyze complex data using SQL, Python, and Excel, build analytics solutions, and present insights to stakeholders.

The role involves defining analytical engineering strategies, managing a data/analytics engineering team, collaborating cross-functionally, and establishing data governance for key business metrics.

The Director of Data & Analytics will lead analytical engineering strategy, mentor a data team, and create actionable data models for business decisions.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.

As a GTM Analytics Engineer, you will enhance data infrastructure, build SSOT models, and optimize data pipelines to support analytics and business decisions.

The role involves leading enterprise reporting and analytics by driving alignment, managing data flows, delivering predictive insights, and assessing business needs for strategic decisions.

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.