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).