Remote Freelance BI Analyst: Data Dashboards (Snowflake)

Butler, Shine, Stern & Partners

United States

Remote

USD 83,000 - 131,000

Part time

10 days ago

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Job summary

BSSP is a freelance data-minded role based in the United States, working remotely. The assignment runs 12/7/26–4/30/27 to cover a leave of absence. Onboarding is optional for two weeks in December, with an early-January return possible.

The role requires strong analytics, data tooling, and cross-functional collaboration to deliver actionable insights for campaigns. Ideal candidates have 3–5 years in marketing analytics, MS in a quantitative field, and proficiency in SQL, Tableau, Python, and

Qualifications

  • 3–5 years of experience working with marketing and web analytics data.
  • MS in Math, Economics, Statistics, Engineering, Psychology or another quantitative field preferred.
  • Proficiency with SQL, Tableau, Python, Excel and Google Sheets.
  • Experience administering and querying Snowflake databases.

Responsibilities

  • Plan the measurement: identify campaign KPIs and project results.
  • Own the data: load, organize and manage raw data from multiple sources.
  • Tell the story: build dashboards, show performance, and Recommend actions.
  • Collaborate with Media, Ad Ops, and Communications before launches.
  • Support data quality and troubleshoot the data stack.

Skills

Data analysis
Data storytelling
SQL
Tableau
Python
Excel
Google Sheets
Communication
Problem solving

Education

MS in Math, Economics, Statistics, Engineering, Psychology or other quantitative field

Tools

Snowflake
Tableau
Google Analytics
Google Ads/SA360
Campaign Manager 360

Job description

BSSP is a freelance data-minded role based in the United States, working remotely. The assignment runs 12/7/26–4/30/27 to cover a leave of absence. Onboarding is optional for two weeks in December, with an early-January return possible.

The role requires strong analytics, data tooling, and cross-functional collaboration to deliver actionable insights for campaigns. Ideal candidates have 3–5 years in marketing analytics, MS in a quantitative field, and proficiency in SQL, Tableau, Python, and

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