Analytics Scientist

Responsibilities

• 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 Big Query, 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 heterogeneous 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.

• 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:
• Utilizing RDBMS technologies including SQL for data mining by writing efficient database queries and applying techniques including indexing, triggers, and other performance optimization methods.
• Leveraging data visualization tools and experience on creating customer reporting and dashboards with tools including Qlikview, Business Objects, or Cognos.
• Utilizing Data warehousing (ETL) and Business Intelligence technologies to implement solutions in big data technologies including Teradata, Hadoop, or Informatica.
• Performing validation and user acceptance testing for business process solutions.
• 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.
• Designing and implementing large‑scale logical, physical, or metadata data models.
• 3 years of experience with each of the following skills is required:
• 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.