Remote Data Specialist for Health & Wellness Growth

IMPACT BRANDS

United States

Remote

USD 110,000 - 140,000

Full time

3 days ago
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Benefits offered by this job

Home office allowance
MacBook or Windows workstation
Health and wellness budget
Online trainings and career growth

Job summary

IMPACT BRANDS is seeking a data analytics engineer to build and maintain warehouse models using BigQuery, Dataform, and dbt. You will manage marketing and sales data pipelines, map product data, and ensure data quality across platforms.

You will also create Looker Studio reports, define metrics, and communicate findings clearly to non-technical stakeholders. Remote work from the United States is supported, with growth opportunities in analytics and data governance.

Qualifications

  • Bachelor’s degree in a related field is required.
  • Strong SQL skills with joins, windows, and troubleshooting.
  • Experience with cloud data warehouses (BigQuery).
  • Familiarity with dbt, Dataform, and Git workflows.
  • Ability to communicate findings to non-technical stakeholders.

Responsibilities

  • Build, maintain, write, and review warehouse models using BigQuery, Dataform, and dbt.
  • Maintain marketing and sales data pipelines and platform connectors.
  • Own product and brand mapping and fix mismatches at the source.
  • Build Looker Studio reports and data quality checks.

Skills

SQL
Data analysis
Communication

Education

Bachelor’s degree in Finance, Accounting, Economics, Business Analytics, Data Science, or related field

Tools

BigQuery
dbt
Dataform
Git
Looker Studio
Power BI

Job description

IMPACT BRANDS is seeking a data analytics engineer to build and maintain warehouse models using BigQuery, Dataform, and dbt. You will manage marketing and sales data pipelines, map product data, and ensure data quality across platforms.

You will also create Looker Studio reports, define metrics, and communicate findings clearly to non-technical stakeholders. Remote work from the United States is supported, with growth opportunities in analytics and data governance.

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