SportsBiz

Compensation

Full Description

The SportsBiz Opportunity Are you passionate about the business of sports and finding trends of data using the latest deployments of technology? Would you thrive in a fast-paced startup, where your work directly impacts the direction of the product and company? Are you excited by analytics, automation, and the potential of AI to reshape how sports sponsorship decisions get made? SportsBiz (SportsBiz.com) is revolutionizing the $100B sports sponsorship industry with DeepSport Solutions, our proprietary analytics and decision-intelligence platform. We empower brands to uncover inefficiencies, optimize spend, and make smarter investments through advanced data science, automation, and intuitive software. We’re looking for a highly skilled, motivated Director of Analytics to help build out the SportsBiz suite of à la carte software solutions—delivering usable, elegant, scalable tools that shape the future of sports marketing. Important – Compensation Structure Transparency is our culture. SportsBiz's valuation as of Q4 2025 is $25M pre-money. Management is presently engaged in a $5M advanced seed round. With that said, all current team members are compensated through: • Equity + routine stipends (until fundraising closes, anticipated Q1/Q2) • Full salary + bonus + benefits begin immediately after successful funding This role is ideal for candidates who are energized by early-stage building and want meaningful ownership and impact. Full-Time Responsibilities: • Design, develop, and maintain data pipelines for the SportsBiz Data Platform including data collection, cleansing, processing and storage using PySpark and Databricks. • Automate data collection, data testing and deployment processes. • Implement monitoring and logging systems to ensure data collection and enrichment processes run smoothly in production. • Collaborate with sports marketing, engineering, data science and product around solutions and products. • Develop data applications and services using Python aligning with our business needs and technical requirements. • Collaborate with cross-functional teams to understand their data needs and provide technical guidance and support. Qualifications: • Bachelor's or Master's degree in Data Science, Computer Science, or a related field • Technical and analytical skills • Advanced data analysis: Proficiency in statistical modeling, data mining, and other advanced analytical techniques. Communication and problem-solving • Communication: The ability to present complex data findings to non-technical audiences, including executives, in a clear and concise way. • Problem-solving: A strong critical thinking ability to analyze problems and develop data-driven solutions. • Data storytelling: Translating data into a compelling narrative that drives decision-making. • Programming languages: Expertise in languages commonly used for data analysis, such as Python and R. • Database management: Strong skills in SQL and managing databases are critical for handling large datasets. • Machine learning: Experience with implementing machine learning models is increasingly important. • Data visualization: Mastery of tools like Tableau or Power BI to create clear and compelling visual representations of data. • Cloud and big data platforms: Familiarity with cloud analytics platforms like AWS or Azure, and big data technologies like Hadoop or Spark. Job Type: Full-time Pay: $100,000.00 - $125,000.00 per year Benefits: • Health insurance • Paid time off Experience: • Data analytics: 7 years (Required) Work Location: Remote