Product Data Analyst

Remote

Applications have closed

LeagueApps

The leading youth sports management platform and online registration software to manage waivers, payments, schedules, and more.

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Who We Are:

As Nelson Mandela said, “Sport has the power to change the world. It has the power to inspire. It has the power to unite people in a way that little else does.” 

At LeagueApps, we agree. Mission-driven at our core, every member of our team is committed to a world where all kids and communities can benefit from youth sports. We help leading youth sports organizations operate, engage, and win with the industry's most comprehensive youth sports management platform. We power thousands of clubs, camps, tournaments, and leagues and reach millions of participants each day.

Beyond our technology, we’re focused on developing the industry’s youth sports leaders through our NextUp: Youth Sports Management Community—providing them with opportunities for professional development and networking. Through events, content, and leadership development programming, we’re taking youth sports management to the next level. Through our FundPlay program, we provide support to sports-based youth development organizations that bring sports experiences to hundreds of thousands of underserved kids and communities. We are also founding members and leaders of the PLAY Sports Coalition, a group that advocates for youth sports at the national level.

LeagueApps is positioned for continued rapid growth, with financing from leading institutional and individual investors, including Contour Venture Partners, Major League Baseball, Elysian Park Ventures, Julie Foudy, and Shane Battier, We were recognized by Deloitte's Fast 500 list in 2019 and 2020. We were ranked in the top 25 “Best Employers in Sports” by Front Office Sports, and named a "Best Place to Work" by Inc. and by BuiltIn NYC.

Role Mission: Proactively generate insights on customer behavior and use of our product ecosystem to understand trends and relationships in product and business metrics while highlighting potential growth opportunities for the business. 

What You’ll Do:

  • Collaborate with key stakeholders to understand data needs and broad questions on the business, product, and users, particularly senior leaders and product management. 
  • Answer complex business and product questions by leveraging deep-dive advanced statistical and data science analysis  (e.g., clustering models, classification, etc.). 
  • Interpret and analyze data sets to identify trends, inform strategic product decisions, and recommend process improvement opportunities.
  • Tell the story of customer behavior through data-driven analysis, including a combination of ad hoc analyses, dashboard & report building, A/B test experimentation, and proactive insight generation. 
  • Develop data visualizations, including reports, dashboards, and analyses, to democratize data access and insights in a digestible manner while enabling self-service capabilities for product managers and business teammates. 
  • Be the go-to person for data and tools questions to drive data literacy and enablement within the organization.
  • Ensures sensitive data is displayed, delivered, and secured correctly.
  • Collaborate with Data Engineering and Product departments to maintain the quality and completeness of data in a global data stack for Customer Success.

Who You Are:

  • 2 plus years experience in a quantitative analyst role
  • Strong product sense and desire to dig into data to understand the business and user behavior
  • Ability to synthesize large and complicated data sets to provide structured analysis, actionable insights, and storytelling that drives business impact
  • Excellent communication skills with the ability to explain data clearly and confidently to all levels within the company
  • Must have hands-on experience with reporting packages (Tableau Desktop + Tableau Online / Server strongly preferred)
  • Must have a foundational understanding of database technologies and SQL experience (will be tested in interview rounds) 
  • Proficiency in SQL and some experience with modeling tools (R, Python) and common approaches (e.g., Random Forest, Gradient Boosting and Logistic Regression)
  • Experience working with common product analytics tools (Heap, Google Analytics, Amplitude, etc.) is preferred
  • Strong quantitative skills and understanding of statistics
  • Experience with experimental test design such as A/B testing
  • BS in Mathematics, Economics, Computer Science, Information Management, or Statistics preferred
  • Experience with marketing and/or operations analytics a plus

Compensation & Benefits: 

  • Equity Grants: Every employee is an owner in our Company
  • Health Benefits: Medical, Dental, Vision coverage, HSA 
  • Commuter Benefits
  • Home-Office Stipend
  • Sports Leagues subsidies for employees and their children
  • Cell phone and gym subsidies (including Class Pass, Citi Bike, and New York Sports Club)
  • Mental Health Resources; Talk Space and Calm  
  • Social impact opportunities through our FundPlay initiative that includes events, volunteering and grant-making

LeagueApps is an equal-opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status. We are committed to building a diverse, inclusive, and equitable organization, and to helping youth sports organizers across the country do the same.

The duties listed are not exclusive and other duties may be assigned as needed or desired by the employer to meet business needs. The employer reserves the right to change, add to or eliminate positions as it deems appropriate. Your employment will be at-will, meaning you or LeagueApps Inc. may terminate the employment relationship at any time, with or without cause or advance notice, for any reason.

#LI-Remote

Tags: A/B testing Amplitude Classification Clustering Computer Science Economics Engineering Mathematics Python R SQL Statistics Tableau Testing

Perks/benefits: Career development Cell phone stipend Equity Fitness / gym Health care Home office stipend Team events

Region: Remote/Anywhere
Job stats:  27  10  0

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