Jump is hiring a Business Intelligence Analyst to build the reporting infrastructure that powers smarter, faster decisions across our company and our professional sports clients. You will collaborate with teams across the company to surface insights, develop reusable data assets, and work directly with clients to support their reporting needs and help foster a strong data culture.
What You'll Do
- Build and maintain dashboards, reports, and analytics assets for internal teams and external partners.
- Support decision-making across departments—including product, marketing, and customer success—by ensuring access to high-quality data and insights.
- Investigate business questions using SQL, BI tools, spreadsheets, or Python notebooks to uncover insights and inform decisions.
- Break down open-ended requests into actionable steps and deliver concise, actionable results.
- Help Jumpsters and customers explore and make sense of data on their own through training, documentation, and one-on-one support.
- Champion data accessibility and empower others to be confident in using analytics tools.
- Promote and scale a self-service analytics culture by educating stakeholders on how to explore, visualize, and draw insights from data themselves.
- Support new customer onboarding by creating initial reports and dashboards, and ensuring data is interpretable and valuable from day one.
- Help define internal data best practices, documentation, and knowledge sharing.
- Interface with external vendors when needed to integrate their products into Jump’s data stack.
What We're Looking For
- 5+ years of experience in business intelligence, data analytics, or a similar analytical role.
- Proficiency in SQL and hands-on experience with dbt or equivalent transformation tools.
- Experience working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
- Familiarity with BI tools—preferably ThoughtSpot or similar (e.g., Looker, Sigma, Tableau, Power BI).
- Strong communication and collaboration skills—comfortable working cross-functionally in a fast-paced, ambiguous environment.
- A proactive, teaching mindset—you're excited to help teammates level up their own data skills.
- An interest in using AI tools to support business intelligence needs.
Nice to Have
- Comfort with lightweight or intermediate technical statistical analysis using tools like Python or R.
- Experience supporting multiple business teams in a startup or high-growth environment.
- Familiarity with modern data stacks, including Fivetran, Segment, Amplitude, and Dagster.
- Prior experience in customer-facing data work (e.g., helping clients interpret their data).
- Exposure to building and maintaining metric definitions or analytics documentation.
Technical Stack
- SQL, dbt, Snowflake, BigQuery, Redshift, ThoughtSpot, Looker, Sigma, Tableau, Power BI, Python, R, Fivetran, Segment, Amplitude, Dagster
Team & Environment
Collaborate with teams across the company and work directly with clients.
Benefits & Compensation
- Remote-first work environment
- Competitive salary and equity package
- Flex PTO policy
- 401(k)
- Generous medical, dental and vision plans
- 16 weeks paid parental leave for primary and secondary caregivers
- $1,000 reimbursement for work-from-home tech setup
- $1,000 annual learning and development stipend
- Company-paid sustainability subscription to ensure carbon neutrality is maintained for employee activities, such as travel
Work Mode
This is a remote position.
We’re committed to building an inclusive workplace where everyone can bring their authentic self and thrive, and we value the diversity brought by different life experiences.
