Top Analysis Reporting Jobs in Ann Arbor, MI

Perform customer analytics and lifecycle measurement for subscription and auto insurance products. Build dbt/Snowflake data models, Tableau dashboards, survival and churn analyses, propensity datasets, A/B tests, pricing and LTV analyses, and recommendation logic. Partner with data engineers, data scientists, product, and marketing to operationalize personalization and inform retention, pricing, and product strategies.

The Associate Director of Reporting and Analysis will convert operational data into actionable insights, drive business decisions, and enhance customer engagement through effective data reporting and analysis.

Analyze historical demand, occupancy, transactions and competitor pricing to optimize daily, monthly, and event pricing. Build dashboards, deliver revenue insights to leadership, and collaborate with Operations and Marketing to implement pricing and promotional strategies while maintaining data integrity.

As an Energy Analyst, you will manage demand response programs in NYISO and PJM, monitor compliance, track client performance, and prepare market intelligence. This role requires strong analytical skills and interaction with various teams.

The Databricks Architect leads data engineering solutions, designing scalable Databricks platforms and managing cloud implementations. They work with clients, ensuring technical alignment and project execution.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

The Reporting & Documentation Specialist will build and maintain dashboards and reports within the ProScore Core Portal, using SQL and Stimulsoft, while ensuring accurate documentation and collaboration with stakeholders.

Administer and maintain CRM and data systems (EveryAction, Salesforce, BigQuery, CARTO), respond to staff and affiliate data/tech requests, ensure data quality and de-duplication, create and deliver training materials, build network capacity, manage vendor/consultant relationships, and travel occasionally for in-person trainings and support.

Design, build, and maintain scalable ETL/data pipelines across distributed systems. Ensure data quality, integrity, security, and high availability. Monitor and optimize pipeline performance, perform root cause analysis, document systems, collaborate with global teams, and participate in on-call rotations to support production data systems.