Top Analytics Jobs in Ann Arbor, MI

The role involves analyzing large datasets, developing models to identify trends, and providing insights to inform business strategy. Responsibilities include data analysis, reporting, and communication of findings to stakeholders.

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

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

The Senior Data & Analytics Consultant will lead data structuring, reporting, and analysis for the pet business, ensuring accurate reporting to meet business objectives.

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.

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.

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 Circana Scholars Program provides experiential learning in market research and analytics, offering scholarships, training, and mentorship for students.

Lead the development of a global attribution strategy, manage data product requirements, and facilitate cross-functional collaboration to enhance measurement practices.

Lead a team of Data Scientists, Analytics Engineers, and Data Engineers to drive messaging strategies through analytics and data science, ensuring collaboration across various business domains.

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 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.

The Education Research Manager leads predictive model development for higher education enrollment strategies, translating complex analytics into actionable insights for institutional leaders.

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