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Ford Motor Company

Analytics Scientist

Ford Motor Company

Analytics Scientist developing data products for Ford Motor Company. Leading data analysis and product feature enhancements in a hybrid work environment.

Posted 6/30/2026full-timeDearborn • Missouri • 🇺🇸 United StatesMid-LevelSenior💰 $140,629 - $182,996 per yearWebsite

Tech Stack

Tools & technologies
BigQueryCognosETLGoogle Cloud PlatformHadoopInformaticaRDBMSSQL

About the role

Key responsibilities & impact
  • Take ownership of end-to-end development of data products to support analytics consumption within the Ford Customer Service Division.
  • Translate user needs into actionable data requirements, ensuring the curated data products effectively address business challenges.
  • Lead data analysis and discovery efforts in collaboration with analytics teams to gather comprehensive details and requirements for new data product development.
  • Actively engage stakeholders from cross functional teams throughout the development lifecycle to solicit feedback, enhance product features, and ensure seamless integration into existing systems or processes.
  • Collaborate closely with data scientists, business stakeholders, and other team members to drive profitable growth and enhance customer satisfaction for Ford/Lincoln dealers.
  • Lead architectural design and development of robust data models and data products utilizing GCP BigQuery, Informatica BDM/DEI, EDC, and Data Privacy Management platforms.
  • Develop and execute comprehensive data governance frameworks and security models to ensure data integrity, compliance, and accessibility.
  • Architect and develop scalable product solutions designed for optimal response times and applicability across diverse business cases.
  • Facilitate integration of heterogenous data sources across multiple platforms to support the development and consumption of high-quality complex data products.
  • Deliver impactful data driven solutions to achieve profitable growth and maintain high levels of customer satisfaction.
  • Apply expertise to ensure products are scalable and provide effective solutions for a wide range of business cases with reliable performance.
  • Work collaboratively with cross-functional teams while demonstrating the ability to independently perform tasks and drive projects to successful completion.

Requirements

What you’ll need
  • Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, or a related field and 5 years of progressive, post-baccalaureate experience in the job offered or a related occupation.
  • 5 years of experience with each of the following skills is required:
  • 1. Utilizing RDBMS technologies including SQL for data mining by writing efficient database queries and applying techniques including indexing, triggers, and other performance optimization methods.
  • 2. Leveraging data visualization tools and Experience on creating customer reporting and dashboards with tools including Qlikview, Business Objects, or Cognos.
  • 3. Utilizing Data warehousing (ETL) and Business Intelligence technologies to implement solutions in big data technologies including Teradata, Hadoop, or Informatica.
  • 4. Performing validation and user acceptance testing for business process solutions.
  • 5. Translating high level design requirements into functional specifications and providing actionable business insights and decision support based on data curation including Informatica and Cognos skills.
  • 6. Designing and implementing large-scale logical, physical, or metadata data models.
  • 3 years of experience with each of the following skills is required:
  • 1. Formulating data management standards and applied data governance practices aligned with data privacy regulations including CCPA and GDPR for large-scale rollouts to internal teams.

Benefits

Comp & perks
  • Immediate medical, dental, and prescription drug coverage**
  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more**
  • Vehicle discount program for employees and family members, and management leases**
  • Tuition assistance**
  • Established and active employee resource groups**
  • Paid time off for individual and team community service**
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day**
  • Paid time off and the option to purchase additional vacation time.

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Hard Skills & Tools
RDBMS TechnologiesSQLData Warehousing (ETL)Business Intelligence TechnologiesData ModelingInformaticaTeradataHadoopData MiningUser Acceptance Testing
Soft Skills
Stakeholder EngagementCollaborationIndependent Project Management