Senior Associate, Data Enablement

Dentsu Creative ANZ

Detroit, Michigan, US
$65,000-$75,000; not specified; medical, vision, +...
Fully remote
Data lifecycle management
Etl/elt workflow refinement
Data quality 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, while also translating technical workflows into clear outputs for end users.
  • Benefits available include medical, vision, and dental insurance, life insurance, disability insurance, 401k, flexible paid time off, at least 15 paid holidays, 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

$65,000-$75,000; Not specified; 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 quality monitoring
  • SQL and Python proficiency
  • Version control for data changes
  • Data ingestion process support

Nice-to-have

  • Collaboration with business partners
  • Automation opportunities identification
  • Clear communication with non-technical partners
  • Positive experience for data consumers

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
  • Ability to communicate clearly
  • Demonstrated ability to learn quickly
  • Strong organizational and time management skills

Work Rights

Not specified

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