Top Analytics Jobs in Detroit, MI

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 Product Safety Data Analyst performs data analyses to support vehicle safety investigations, focusing on data extraction, preparation, and visualization while collaborating with various teams to deliver insights.

The Marketing Analytics Specialist will analyze website data, provide insights, build dashboards, and support decision-making to enhance marketing performance.

The Analytics Engineer will develop the Analytics layer in the data warehouse using dbt, define complex business logic with SQL, and collaborate with business partners to meet their data needs.

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.

As a Staff Data Analyst, you'll lead credit analytics initiatives, mentor juniors, collaborate with cross-functional teams, and enhance Upstart's lending strategies using data-driven insights.

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.

Lead the analytics engineering team, build data models, ensure data quality, leverage AI for analytics, and empower product teams with insights.

Lead a team of analysts, manage analytics product development, ensure data quality, build self-serve dashboards, and partner with cross-functional teams.

Analyze data for cross-functional GTM initiatives, providing leadership in decision frameworks and insight development for strategic programs.

This role requires strategic thinking and analytical expertise for market research, brand strategy, and senior management decisions in oncology.

The Senior Analytics Engineer will design and maintain data models, build data pipelines, and optimize data infrastructure while collaborating with teams like Data Engineering and Data Science to support business intelligence and advanced analytics.

As an Analytics Engineer, you will design, build, and maintain data models and pipelines, collaborating with Data Engineering and Data Science teams to transform data into actionable insights while ensuring data quality and governance.

The People Analytics Partner consults with business leaders, uses analytics to improve workforce strategies, and ensures data quality in people metrics.

The Pricing Actuary leads complex reinsurance transactions, mentors a team, and develops innovative analytics strategies to enhance client solutions.

Design and optimize fraud detection rules, managing libraries and workflows, collaborating with teams for analytics, and providing strategic insights.

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

The Analyst II will analyze customer risk, optimize fraud prevention strategies, develop data frameworks, and communicate findings to improve user experience and retention.

Lead Circle's marketing analytics function by delivering AI-powered insights, managing data quality, and collaborating across teams to improve marketing performance and decision-making.

Lead analytics efforts for Affirm's card platform, focusing on payment networks, partnership evaluations, and product strategy. Build measurement frameworks and dashboards to enhance card acceptance and customer satisfaction.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.