Senior Associate, Data Enablement

Dentsu Aegis Network

Detroit, Michigan, US
Base: $65,000-$75,000; bonus/equity: not specified...
Fully remote
Data lifecycle management
Etl/elt workflow improvement
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 designing and managing data ingestion processes, maintaining and improving ETL/ELT workflows, and validating data throughout pipelines to ensure completeness and accuracy.
  • 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, Paid parental leave

Skills & Requirements

Must-have

  • Data lifecycle management
  • ETL/ELT workflow improvement
  • Data validation and monitoring
  • SQL and Python proficiency
  • Version control for data changes

Nice-to-have

  • Process automation identification
  • Clear communication with stakeholders
  • Collaboration for process improvement
  • Adaptability and problem-solving skills

Key Requirements

  • 1-2 years in data enablement, data engineering, analytics engineering
  • 1 year strong working knowledge of SQL and Python
  • Experience with ETL/ELT tools or workflow oriented systems
  • Familiarity with Microsoft's data ecosystem
  • Experience using version control
  • Experience integrating external data sources
  • Understanding of data quality practices
  • Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, or related field

Work Rights

Not specified

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