Skip to main content

DEPT®

Data Analyst/BI Engineer

United StatesFrom $110kmidAdded today

About this role

A Growth Invention company seeks an experienced Senior Data Analyst/BI Engineer to design and maintain automated reporting solutions, data pipelines, and visualization tools. You'll partner with internal and external stakeholders to unify multiple data sources, ensure data quality, and deliver scalable analytics products that drive client success.

What you'll do

  • Assess automation needs with internal teams, external partners, and clients to design scalable solutions
  • Develop and maintain SQL queries, data transformations, and ETL pipelines across multiple data sources
  • Create, validate, and support data visualization dashboards using Tableau, Looker, or similar tools
  • Lead data quality assurance by validating datasets and implementing automated discrepancy detection
  • Design and manage Python automation scripts for data ingestion, transformation, and operational workflows
  • Document best practices and serve as subject matter expert supporting internal and external stakeholders

What they're looking for

  • SQL (advanced, complex query development and troubleshooting)
  • Data visualization tools (Tableau, Looker, Google Data Studio required)
  • Python scripting for data automation and pipeline development
  • ETL tools (SSIS, Matillion, API integration)
  • Cloud data platforms (BigQuery, Snowflake, Azure, GCP)
  • Digital marketing data analysis and interpretation
  • Data architecture and lineage understanding
  • JavaScript or Google Apps Script

Benefits

  • Healthcare, dental, and vision coverage
  • 401(k) plan with company matching
  • Paid time off and paid company holidays
  • Parental leave
  • Collaborative, open-door work environment
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

DEPT®

View all jobs at DEPT®

Likely interview questions

  • Walk us through a complex ETL pipeline you designed—what data sources did you unify and what challenges did you solve?
  • Describe your experience with SQL optimization for large datasets and how you've debugged problematic queries in production.
Unlock all 7 questions free — and practice them live →