Analytics Engineer, Baseball Research & Development

Arlington (GLF), United States

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It's fun to work in a company where people truly BELIEVE in what they're doing!

We're committed to bringing passion and customer focus to the business.

ESSENTIAL FUNCTIONS OF POSITION INCLUDE, BUT ARE NOT LIMITED TO THE FOLLOWING:

  • Investigate new & existing data sources for quality and value, including analytical and machine learning models
  • Build metrics & models to inform users of data quality issues
  • Work closely with data analysts and other developers to integrate new work into productionalzed data flows
  • Develop & maintain cloud based transactional databases and data warehouses
  • Assemble & aggregate large, complex, & diverse data sets
  • Identify & implement internal process improvements with automation & optimization
  • Build infrastructure for optimal ETL process from a variety of data sources and formats
  • Develop automated data quality reporting tools and dashboards
  • Communication with stakeholders and executives regarding data related technical issues as well as development of new data products
  • All other duties as assigned

PREFERRED QUALIFICATIONS

  • B.S. Degree or higher in engineering, computer science, data science, a related technical field, or have equivalent work experience
  • Experience in cloud computing, storage, and warehousing (AWS, GCP, Snowflake, etc)
  • Strong programming background (Python, R, C#, Spark, etc)
  • Experience with common statistical and machine learning methods
  • Proficiency in data visualization principles, techniques, and software (e.g. Tableau, Power BI)
  • Professional experience with SQL Server, postgres SQL, or other SQL technologies
  • Familiarity with technologies relevant to data lakes, data warehousing, & job orchestration
  • Familiarity with baseball analytics, data, & technologies
  • Strong written, verbal, and visualization skills
  • A creative mindset, open-mindedness, and desire to work in a learning culture

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job.  They are not intended to be an exhaustive list of all responsibilities, duties and skills required of the job.


If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Computer Science Data quality Data visualization Data Warehousing Engineering ETL GCP Machine Learning ML models PostgreSQL Power BI Python R R&D Research Snowflake Spark SQL Statistics Tableau

Perks/benefits: Career development

Region: North America
Country: United States

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