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Jump

Business Intelligence Analyst

Posted 3 Days Ago
Remote
Hiring Remotely in US
140K-140K
Senior level
Remote
Hiring Remotely in US
140K-140K
Senior level
The Business Intelligence Analyst builds dashboards and analytics, supports data-driven decisions, and fosters a data culture across Jump and its clients.
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Description

Jump is transforming the live sports experience with the only end-to-end fan engagement platform built specifically for sports teams and venues. By focusing on aligned incentives between teams and fans, our platform unifies ticketing, merchandise, and game day operations - removing unnecessary costs and creating a smoother, more fan-friendly experience.

Founded in 2021 by e-commerce innovator Marc Lore, MLB legend Alex Rodriguez, and entrepreneur Jordy Leiser, we’ve raised over $58 million from top investors including Alexis Ohanian’s Seven Seven Six and Forerunner Ventures.Our platform powers teams across the NBA, WNBA, and NWSL helping them reduce costs, boost ticket sales, and deliver innovative fan experiences.

We’re a remote-first team driven by core values - begin with trust, play like the underdog, and do your thing. If you’re collaborative, adaptable, and eager to shape the future of live sports, Jump is the place for you.

The Role
We’re looking for a Business Intelligence Analyst to help build the reporting infrastructure that powers smarter, faster decisions across Jump and our professional sports clients. In this high-impact, hands-on role, you’ll collaborate with teams across the company to surface insights and develop reusable data assets. You’ll also work directly with our clients to support their reporting needs and help foster a strong data culture. This is a great opportunity for someone who’s excited to blend analytics with tool-building and ready to take on broader responsibility as they grow with the organization.

Key Responsibilities

  • 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 You’ll Bring

  • 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 Skills

  • 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.

Attributes that will make you successful on our team

  • A strong desire to learn. You have strong experience and want to continue building your skills.

  • Tenacity. You enjoy working on challenges that others can’t or don’t want to tackle and you aren’t afraid of failing fast in order to find better solutions.

  • Passion. You love using your skills to solve real problems. You hold yourself to a high standard and help to elevate others as well.

  • Empathy. You thrive in an environment where everyone can truly be themselves. You understand that our differing life experiences influence who we are and how we show up, and these diverse perspectives enrich both our team and our product.

  • Customer-centric mindset. You can understand the problem to be solved and who we are solving it for.

  • Elevate. You consistently push for higher standards—in your work, your team’s work, and the product overall.

  • Innovation: Passion for exploring and implementing AI technologies to enhance automation, optimize workflows, and drive innovation

Benefits

  • Remote first

  • Competitive salary and equity

  • 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

Compensation

Compensation is something we don’t want our candidates or employees to worry about. Our goal is to offer competitive salaries that are regularly benchmarked against the market. The core tenets of our compensation philosophy are fairness and transparency.

We have established a standardized leveling framework based on job scope and responsibilities. This means that every person at a certain level is paid the same as everyone else, regardless of their background, previous compensation, location, or any other factor.

The compensation for this role is $140,000 and includes a generous equity package.

Application

Some candidates may see the requirements and feel unsure that they match all the criteria. We encourage you to apply! There's a good chance you have important skills that we have not stated. We especially encourage members of traditionally underrepresented communities to apply, including women, nonbinary folx, people of color, members of the LGBTQ community, veterans, and people with disabilities. 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.

Top Skills

BigQuery
Dbt
Looker
Power BI
Python
R
Redshift
Sigma
Snowflake
SQL
Tableau
Thoughtspot

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