Senior Associate, Data Enablement

Dentsu B2B APAC

Detroit, Michigan, US
Base: $65,000-$75,000; bonus/equity: not specified...
Fully remote
Data lifecycle management
Etl/elt workflow refinement
Data validation and monitoring
The Senior Associate, Data Enablement role is responsible for ensuring accuracy, consistency, and reliability across the full data lifecycle, blending practical data engineering skills with a strong focus on data quality

Job Summary

  • The Senior Associate, Data Enablement role is responsible for ensuring accuracy, consistency, and reliability across the full data lifecycle, blending practical data engineering skills with a strong focus on data quality.
  • Responsibilities include supporting data ingestion processes, refining pipelines, and enabling clear, trusted data for internal teams and global partners.
  • Benefits available with this position include Medical, vision, and dental insurance, Life insurance, Short-term and long-term disability insurance, 401k, Flexible paid time off, at least 15 paid holidays per year, Paid sick and safe leave, and Paid parental leave.

Matching Summary

The Senior Associate, Data Enablement role is responsible for ensuring accuracy, consistency, and reliability across the full data lifecycle, blending practical data engineering skills with a strong focus on data quality.

Salary

Base: $65,000-$75,000; Bonus/Equity: Not specified; Benefits: Medical, vision, and dental insurance, Life insurance, Short-term and long-term disability insurance, 401k, Flexible paid time off, at least 15 paid holidays per year, Paid sick and safe leave, and Paid parental leave

Skills & Requirements

Must-have

  • data lifecycle management
  • ETL/ELT workflow refinement
  • data validation and monitoring
  • SQL and Python proficiency
  • version control for data changes

Nice-to-have

  • collaboration with analysts and business partners
  • automation for consistency
  • clear communication with non-technical partners
  • continuous process improvement

Key Requirements

  • Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, or related field
  • 1-2 years in data enablement, data engineering, analytics engineering, or related field
  • 1 year of strong working knowledge of SQL and Python
  • Experience with ETL/ELT tools or workflow oriented systems
  • Experience integrating external or third party data sources
  • Ability to communicate clearly with technical and non-technical partners

Work Rights

Not specified

Tailored Resume

Cover Letter