GitLab

Senior Data Analyst, Enterprise Analytics

GitLab

full-time

Posted on:

Location Type: Remote

Location: India

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Job Level

Senior

Tech Stack

CloudSQLTableau

About the role

  • Build and maintain executive-facing scorecards, go-to-market performance views, and new-customer reporting that connect pipeline, bookings, and product usage signals into targets-versus-actuals tracking by motion.
  • Design performant, reusable Tableau Cloud data sources and help shape the underlying dbt models so reporting layers are stable, governed, and aligned to single-source-of-truth patterns.
  • Collaborate with Analytics Engineering and Data Engineering to improve dbt models that support reliable, scalable reporting for business stakeholders.
  • Document metric logic, data lineage, and Tableau usage patterns in the handbook so stakeholders can understand how data products are built and used.
  • Implement and monitor data quality checks and reconciliations across Snowflake, Salesforce, and other go-to-market systems to strengthen trust in company-level reporting.
  • Partner with Revenue Operations, Finance, and go-to-market analysts and stakeholders to define questions, align on metric definitions and pacing logic, and deliver dashboards and deep-dive analyses.
  • Present insights in a clear, actionable way for both operational and executive audiences so teams can make better decisions faster.
  • Share best practices in SQL, data visualization, and go-to-market analytics, including code reviews and pairing support on high-priority dashboards.

Requirements

  • Strong analytical skills with the ability to frame ambiguous business questions, structure analysis, and translate findings into clear recommendations for go-to-market and executive stakeholders.
  • Advanced SQL skills working with large, complex data models, preferably in Snowflake, including joining many tables and building reusable queries and views.
  • Proven experience building executive-facing dashboards in Tableau or a similar business intelligence tool, including data source design, performance tuning, and visualization best practices.
  • Deep understanding of go-to-market concepts such as new-customer and first-order metrics, pipeline, bookings, Net ARR, go-to-market motions, sales segments, and marketing funnel metrics.
  • Strong command of GenAI tools for daily use in your work and the judgment to use them effectively to improve speed and quality.
  • Ability to communicate complex analyses in a clear, concise way through presentations, written narratives, and data visualizations for both technical and non-technical audiences.
  • Comfort working in an all-remote, asynchronous environment, with a high level of ownership and the ability to drive work forward independently.
  • Alignment with GitLab's values and openness to applying transferable skills from related analytics, revenue operations, or business intelligence roles.
  • Experience with dbt and modern analytics engineering patterns is helpful but not required.
Benefits
  • Benefits to support your health, finances, and well-being
  • Flexible Paid Time Off
  • Team Member Resource Groups
  • Equity Compensation & Employee Stock Purchase Plan
  • Growth and Development Fund
  • Parental leave
  • Home office support
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLTableaudbtdata visualizationdata quality checksdata lineagedata modelingperformance tuningSnowflakego-to-market analytics
Soft Skills
analytical skillscommunicationpresentation skillscollaborationproblem-solvingownershipindependenceclear recommendationsbest practices sharingjudgment