Data Analyst, Product Analytics Engineer at WIN Reality

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WIN Reality is a sports technology company that is revolutionizing the way baseball and softball players prepare for the game. Using virtual reality, we provide athletes and coaches with the most authentic and immersive training experience in the world. This commitment has allowed us to partner with athletes, coaches, and organizations at all levels of the game from Youth Leagues to premier College Baseball and Softball programs, and Major League Baseball organizations.

Our commitment to innovation has attracted significant attention, including a $45 million investment from Spectrum Equity, a firm that has consistently identified emerging industry leaders such as GrubHub, Ancestry.com, and GoodRx.

WIN Reality is a dynamic start-up company looking for driven teammates to grow with it. Our culture reflects the characteristics that make sports special - comradery, shared success, and challenge. Our teams are united in their efforts towards pushing the limits of technology to give our players an edge. We offer a competitive total rewards package, a diverse and collaborative environment, and incredible opportunities for professional development.

Data Analyst; Product Analytics Engineer

Location: Austin, TX.

WIN Reality has an exciting opportunity for a Data Scientist to join our growing Team!

Key Responsibilities:

Own end-to-end projects consisting of analytics engineering, business intelligence, and analytics components.
Collaborate with cross-functional teams to improve the data architecture and drive business insights.
Make a direct impact on the Product and User Experience by providing data-backed recommendations to leadership
Create and maintain documentation for data processes, models, and pipelines.
Perform data cleansing and validation to ensure data quality and integrity.
Analyze data to identify trends, patterns, and insights that inform business strategy by presenting findings in a clear, concise manner, making complex data understandable for non-technical stakeholders.
Develop and maintain dashboards and reports to visualize key performance indicators (KPIs).
Support ad-hoc data requests and conduct deep-dives into specific areas of business interest.
Help maintain and improve data management systems and processes.

Required Qualifications:

4-7 years of relevant experience in analytics, engineering or related field.
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Candidates with non-traditional backgrounds but strong relevant experience will be considered.
Proficiency in SQL and experience in designing and optimizing complex queries and performing data analysis.
Hands-on experience with data warehousing technologies (e.g., Snowflake, BigQuery, Redshift).
Experience working with BI tools like Looker, Tableau, or Power BI.
Familiarity with statistical analysis techniques and implementing them in Python and/or R.
Excellent communication skills and ability to work with both technical and non-technical stakeholders.
Strong analytical mindset with the ability to solve complex problems and derive actionable insights.
Ability to work in a fast-paced environment and manage multiple projects simultaneously.

Preferred Qualifications:

Experience with version control and CI/CD tools (e.g., Git, Jenkins).
Familiarity with cloud platforms such as AWS, GCP, or Azure.
Strong understanding of data modeling, data architecture, and best practices in data management.
Knowledge of statistical concepts such as regressions, time series, Bayesian methods, clustering, etc., to analyze data and provide insights
Experience with machine learning algorithms (e.g., regression, clustering, decision trees).

Sports have a rich heritage of transcending traditional boundaries in pursuit of winning. Winning is why people of diverse specialties, beliefs, and backgrounds come together. That is why WIN Reality is committed to diversity. We are committed to fielding the best team possible which is why all applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $70,000 - $90,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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