Lead Analytics Engineer: Data Warehousing & Dashboards

Computercare

United States

Remote

USD 130,000 - 170,000

Full time

14 days+
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Job summary

ComputerCare is seeking a data operations lead to maintain and scale Snowflake data warehouses, data pipelines, and BI layers. You will own integrations from NetSuite and Jira and advance the BI stack toward Tableau/Looker, while partnering with the COO to deliver dashboards and insights.

You will establish data quality metrics, governance standards, and automate recurring reporting, transforming manual processes into repeatable solutions.

Qualifications

  • Experience with Snowflake data warehouse, transformations, and ETL/ELT pipelines.
  • Ability to design and maintain data integration from NetSuite, Jira, and custom apps.
  • Strong understanding of BI layer ownership and potential migration to Tableau or Looker.
  • Collaborative partner to translate operational goals into dashboards and insights.

Responsibilities

  • Maintain, optimize, and scale Snowflake data warehouse, transformation layer, and ETL/ELT pipelines.
  • Build and operate integrations from NetSuite, Jira, and custom apps, ensuring reliable data arrival.
  • Own BI layer (HEX), with opportunity to migrate to Tableau or Looker.
  • Partner with COO to turn operational goals into dashboards and insights.
  • Establish trusted metric definitions, documentation, and testing standards.
  • Maintain metric dictionary and clearly communicate data limitations.
  • Take ownership of recurring reports, SLA reporting, and client review data.
  • Build repeatable, automated solutions replacing manual processes.

Skills

Snowflake
ETL/ELT
Data integration
BI tooling

Tools

NetSuite
Jira
HEX

Job description

ComputerCare is seeking a data operations lead to maintain and scale Snowflake data warehouses, data pipelines, and BI layers. You will own integrations from NetSuite and Jira and advance the BI stack toward Tableau/Looker, while partnering with the COO to deliver dashboards and insights.

You will establish data quality metrics, governance standards, and automate recurring reporting, transforming manual processes into repeatable solutions.

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