Data Analyst

• Design, build, and publish Power BI reports that consume Fabric semantic models in DirectLake and Import modes
• Translate business needs into logical data models and intuitive, clearly labeled report layouts
• Write and optimize DAX measures that power business KPIs
• Gather, document, and refine reporting requirements with business partners
• Apply row-level and object-level security in semantic models to meet governance standards
• Validate reports against source data for accuracy
• Create certified datasets and reusable templates for self-service analytics
• Participate in peer reviews of reports, DAX logic, and model design
• Present findings and partner across teams to turn data into decisions
• Use AI tools to improve analysis and speed delivery

Fabric Data Analyst

• Establish foundational data architecture for sourcing, connecting and maintaining Ford Racing customer knowledge
• Create and maintain a single source of truth for customer data across vehicle sales, parts, services, merchandise, experiences and events
• Partner cross-functionally with GDIA, FCSD, Connected Vehicle, Quality, Marketing and Sales within enterprise platforms and governance
• Identify, evaluate and manage third-party data partnerships that extend Ford Racing customer knowledge
• Frame customer-related questions from internal teams and assess internal and external data for existing answers
• Build new integrated data solutions where applicable
• Synthesize findings as narrated conclusions with clear implications supported by data
• Establish and maintain a Ford Racing customer knowledge repository cataloguing existing and future studies and findings
• Own privacy consent compliance for Ford Racing customer data, including third-party sources

Customer Data and Analytics Manager

• Develop and standardize best practices for continuous monitoring of emerging safety issues
• Strengthen data-analytics support for safety investigations through improved methods, automated tools, and feedback loops
• Perform statistical analyses to deliver sound, unbiased, and actionable results
• Analyze signals, patterns, and trends in large and complex data sets to identify potential safety issues
• Apply time series analysis, categorical data analysis, sampling, and multivariate analysis to investigations and decision-making
• Support anomaly detection, diagnostics, prognostics, and root cause analysis for safety-related topics
• Design and implement automation opportunities using custom software development and off-the-shelf solutions
• Develop scalable automated analytical tools, data workflows, and monitoring approaches
• Communicate findings and data-driven insights to stakeholders from analysts to senior leadership
• Provide technical guidance and mentorship across the team
• Work independently on complex assignments while collaborating across functions

Senior Data Scientist – Product Safety Data Analytics

• Serve as the primary day-to-day client contact and interact with Director- and Senior Director-level stakeholders
• Ensure client needs are understood, defined, and met
• Interface between senior client management and EXL senior leadership, including VPs and SVPs
• Translate client objectives, priorities, and challenges into actionable delivery plans
• Own project execution and ensure timely delivery and achievement of project goals
• Lead data infrastructure and data engineering by overseeing development, customization, and management of data integration tools, databases, warehouses, and analytical systems
• Review solution approaches for alignment with enterprise architecture and business objectives
• Improve team technical competencies and establish engineering excellence practices
• Partner with client engineering teams to understand data needs and create tools and automation that derive value from data
• Act as the escalation point for delivery, operational, and stakeholder-related issues

Engagement Manager – Data & Analytics

• Partner with product, operations, engineering, and commercial teams to identify client decision-support needs
• Translate challenging business problems into required data capabilities
• Explore new data assets, tools, and techniques to strengthen existing products
• Enable new product development and enhanced scientific predictions
• Develop data capability requirements and business logic
• Create new or derived metrics to capture data relationships
• Deliver insights and decision-support solutions
• Develop proactive, scalable, and extensible analytical frameworks for quality assurance in production and post-production processes
• Communicate data-driven insights and recommendations to non-technical stakeholders

Data Analyst jobs in Michigan

Fabric Data Analyst

Customer Data and Analytics Manager

Senior Data Scientist – Product Safety Data Analytics

Engagement Manager – Data & Analytics

Industry Data Analyst, Automotive Pricing Solutions