# Data Analyst
## About the Role
Jump is looking for a Data Analyst to help drive better business decisions through thoughtful analysis, clear metric definitions, and strong cross-functional partnership. You’ll work closely with Product, Engineering, Operations, and GTM teams to answer high-impact business questions, translate ambiguity into structured analysis, and uncover insights that shape strategy.
This role combines business-focused analytics with analytical data modeling. You’ll help build and maintain clean, reliable data models and transformations that support scalable reporting, trustworthy metrics, and data-driven decision-making. You’ll join a small, high-impact data team where ownership is encouraged and your work directly influences how the company grows.
## Key Responsibilities
Partner with Product, Engineering, Operations, and GTM teams to define KPIs and answer strategic business questions.
Build reporting and dashboards that support business decisions and drive action.
Present data insights clearly to technical and non-technical stakeholders.
Perform exploratory data analysis to identify trends, risks, and growth opportunities.
Define and maintain core business metrics to create alignment across teams.
Support and improve dimensional data models, including fact tables, dimension tables, and star schemas.
Build and maintain reliable data transformations for accurate and consistent reporting.
Improve data quality, documentation, and reporting standards.
Contribute to forecasting, experimentation analysis, and predictive or inference modeling initiatives.
Take ownership of projects and contribute proactively beyond routine analytics requests.
## Required Qualifications
2–4 years of relevant professional experience in Data Analytics, Analytics Engineering, or a similar role.
Strong SQL skills.
Experience working with a modern cloud data warehouse.
Experience performing exploratory data 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 or ad hoc analysis.
Strong written and verbal communication skills.
Familiarity with data ingestion tools such as Fivetran, Airbyte, Stitch, or similar.
Familiarity with analytics transformation tools such as dbt, SQLMesh, or Dataform.
Familiarity with modern BI tools such as Tableau, Sigma, Looker, or similar.
Familiarity with version-controlled analytics workflows.
Familiarity with dimensional modeling concepts, including fact tables, dimension tables, and star schemas.
## Preferred Qualifications
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 GTM metrics.
Exposure to event-based or product analytics data.
Experience using AI effectively in your own workflow.
Experience with Airbyte, BigQuery, SQLMesh, and Looker Studio.
## Skills & Competencies
Data analysis and exploratory analysis
SQL and analytical data modeling
KPI and metric definition
Business intelligence and reporting
Dashboard development
Dimensional modeling
Data transformation
Data quality and documentation
Cross-functional collaboration
Stakeholder communication
Strategic problem-solving
Proactive ownership
Ability to communicate insights to technical and non-technical audiences
## Education & Experience
Education
BS in Computer Science, Statistics, Data Science, Mathematics, Engineering, or a related quantitative field, or equivalent practical experience.
Experience
2–4 years of relevant professional experience in analytics.
Relevant experience in Data Analytics, Analytics Engineering, or a similar role.
Experience working cross-functionally with Product, Engineering, Customer Success, or business stakeholders.
## Work Arrangement & Schedule
Location: Naperville, IL, US / Remote
Work Arrangement: Fully remote
Employment: Not specified in the source JD
Geographic Requirement: Must reside in the United States
Travel: Occasional travel to the company headquarters in SLC, Utah, is encouraged.
Weekly Hours: Not specified in the source JD.
Schedule Flexibility: Not specified in the source JD.
## Compensation & Benefits
Compensation: $90,000–$120,000
Health, dental, and vision insurance.
Premiums covered for the employee and dependents if choosing the HDHP plan.
401(k), currently with no company match.
Take-the-time-you-need PTO, described as approximately four weeks, without tracked usage.
## Compliance / Additional Information The position is fully remote but candidates must reside in the USA.
The company is headquartered in SLC, Utah.
Jump raised an $80M Series B in February 2026.
The role is designed as a business-impact-focused analytics position rather than a dashboard-only reporting role or a pure data engineering position.