Data Analyst

Jump

55d • $90,000 - $120,000 • Remote

About The Position

We’re looking for a Data Analyst to help drive better decisions across the company through thoughtful analysis, clear metric definitions, and strong partnership with cross-functional teams.

In this role, you’ll work closely with Product, Engineering, Operations, and GTM teams to answer high-impact business questions. You’ll translate ambiguity into structured analysis, uncover insights that shape strategy, and ensure our metrics are accurate and trustworthy.
While this role is business-impact focused, you’ll also contribute to building and maintaining clean analytical data models that support scalable, reliable reporting.
You’ll join a small, high-impact data team where ownership is real and your work will directly influence how we grow.

Requirements

• 2–4 years of experience in a Data Analyst, Analytics Engineer, or similar role.
• Strong SQL skills and experience working in a modern cloud data warehouse.
• Experience performing exploratory analysis and communicating actionable insights.
• Experience working cross-functionally and influencing business stakeholders.
• Demonstrated ability to drive measurable impact through data.
• Experience building analytical data models — not only dashboards and ad hoc analysis.
• Strong written and verbal communication skills.
• A proactive mindset and willingness to take on projects outside your comfort zone.
• Familiarity with tools such as: Fivetran, Airbyte, Stitch (or similar ingestion tools) dbt, SQLMesh, or dataform A modern BI tool (Tableau, Sigma, Looker, etc)
• We currently use Airbyte, BigQuery, SQLMesh, Looker Studio, etc
• Familiarity with version-controlled analytics workflows.
• Familiarity with dimensional modeling concepts (fact tables, dimension tables, star schemas).
• BS in Computer Science, Statistics, Data Science, Mathematics, Engineering, or a related quantitative field (or equivalent practical experience).
• 2–4 years of relevant professional experience in analytics.
• Proficiency in SQL required; experience with modern analytics tooling strongly preferred.
• Demonstrated experience working cross-functionally with Product, Engineering, Customer Success, or business stakeholders.

Nice To Haves

• Experience building predictive or inference models.
• Experience building and maintaining data ingestion pipelines.
• Experience implementing data quality testing and documentation practices.
• Experience working with GTM teams to define and report on GTM metrics.
• Exposure to event-based or product analytics data.
• Experience using AI effectively in your own workflow.

Responsibilities

• Partner cross-functionally to define KPIs, answer strategic questions, and support decision-making.
• Build reporting and dashboards that drive action — not just monitoring.
• Present insights clearly to both technical and non-technical stakeholders.
• Perform data analysis to uncover trends, risks, and growth opportunities.
• Define and maintain core business metrics to ensure alignment across teams.
• Support and improve dimensional data models (fact and dimension tables) in the warehouse.
• Build and maintain reliable data transformations to ensure accuracy and consistency.
• Help improve data quality, documentation, and reporting standards.
• Contribute to forecasting, experimentation analysis, and predictive or inference modeling initiatives.

Benefits

• Health/Dental/Vision insurance (premiums covered for you and dependents if you choose a HDHP plan)
• 401k (no match right now)
• Take the time you need PTO (4 weeks-ish, but we don’t keep track)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level