Senior Associate, Data Enablement

Carat Australia

Detroit, Michigan, US
Base: $65,000-$75,000; bonus/equity: not specified...
Fully remote
Sql and python for data pipelines
Etl/elt tools or workflow systems
Microsoft data ecosystem familiarity
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 and process improvement

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 and process improvement.
  • Responsibilities include supporting data ingestion processes, refining pipelines, enabling clear, trusted data, designing and managing data capture processes, and maintaining ETL/ELT workflows.
  • 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 and process improvement.

Salary

Base: $65,000-$75,000; Bonus/Equity: Not specified; Benefits: Medical, vision, dental, life, disability, 401k, PTO, holidays, sick leave, parental leave

Skills & Requirements

Must-have

  • SQL and Python for data pipelines
  • ETL/ELT tools or workflow systems
  • Microsoft data ecosystem familiarity
  • Version control for data changes
  • Integrating third party data sources
  • Data quality practices understanding

Nice-to-have

  • Collaborate with business partners
  • Translate technical workflows clearly
  • Identify automation opportunities
  • Maintain thorough documentation
  • Create a positive data consumer experience

Key Requirements

  • 1-2 years in data enablement, data engineering, or analytics engineering
  • 1+ year SQL and Python experience
  • Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, or related field
  • Experience with version control
  • Experience integrating external data sources

Work Rights

Not specified

Tailored Resume

Cover Letter