-Working directly with the business, product, and engineering teams, Ideate and build proof of concepts for client-facing analytical tools and products.
-Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
-Interact with internal and external clients to develop hypotheses, scope project requirements, formulate and execution analyses, and present results and recommendations.
-Create and maintain dashboards utilizing Amazon Quicksight.-Conduct ad-hoc analysis and presenting results to internal and external stakeholders.
-Serve as resident expert in statistical analysis, including model development, validation, and maintenance.
-Query, transform, and integrate data from multiple sources and structures and carry out data cleansing and normalization tasks to ensure data integrity.
-Construct models to predict consumer behavior, propensities, preferences, lifetime value, and retention.
-Develop processes and tools to monitor and analyze model performance and data accuracy.
-Work with internal data engineering team to automate model implementation.
-Our job descriptions evolve with our business need and priorities. In addition to the description above, your role may include additional projects and team support as needed.
-Develop and maintain online dashboard summaries of data and campaign performance to facilitate learning and decision-making.
-Present results, insights, recommendations to internal and external clients.
-Bachelor’s Degree in Statistics, Analytics, Computer Science, Math, Economics or other related field.
-Minimum of 5 years of experience using statistical and computer languages such as Python, R, Java, AWS, and so on.
-Exceptional SQL skills.
-Able to communicate complex analytics results and insights to less technical audience.
-Experience with data visualization tools, Amazon Quicksight a plus.
-Experience with database management and data architecture, Databricks a plus!
-Strong understanding of all facets of Database Marketing and Dynamic Pricing.
-Extensive experience with PowerPoint and Excel functions and formulas.
-Strong written and verbal communication skills.
Bringing together the leading figures in sports analytics, business, and technology.