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Analytics Engineer (WNBA)

115 000 - 130 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Analytics Engineer (WNBA) (SQL/dbt/data platforms): Building standardized analytical datasets and data models for WNBA reporting, advanced analytics, AI product development, and self-service reporting with an accent on fan identity, subscription, engagement, and viewership data. Focus on developing semantic layers, production data pipelines, automated data quality controls, and a unified view of the WNBA fan journey.

Location: New York, USA; eligible employees may work remotely one day per week.

Salary: $115,000–$130,000 per year.

Company

hirify.global is a professional basketball organization supporting the Whirify.global, a women’s basketball league combining competition, entertainment, digital media, and community outreach.

What you will do

  • Design and develop analytical data models supporting Whirify.global reporting, advanced analytics, AI, and self-service reporting.
  • Integrate fan identity, subscription, engagement, and viewership data into a unified Whirify.global fan journey.
  • Develop reusable datasets, semantic layers, business metrics, and scalable transformations that reduce manual analysis.
  • Establish documentation and data governance using tools such as Alation and Confluence.
  • Implement automated data quality testing, monitoring, and validation processes.
  • Partner with Data Science, Analytics, Data Engineering, business teams, and external partners to onboard data sources and support new analytical initiatives.

Requirements

  • Advanced SQL skills and experience developing complex analytical data models.
  • Production data pipeline and transformation experience using dbt or a similar analytics engineering framework.
  • Strong knowledge of dimensional modeling, data warehousing, and analytics engineering practices.
  • Experience with cloud data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
  • Experience with semantic layers, reusable analytical datasets, Git-based workflows, automated data quality, monitoring, and documentation.
  • Bachelor’s degree required; 5+ years of experience in analytics engineering, data engineering, or analytical data modeling. A technical or quantitative field and sports, media, entertainment, or direct-to-consumer experience are preferred.

Culture & Benefits

  • Hybrid work arrangement with one remote day per week for eligible employees.
  • Medical, dental, vision, life, disability, and mental health benefits.
  • Fertility and family-forming assistance, wellbeing allowance, and educational assistance.
  • HSA and dependent care FSA options, 401(k), vacation, sick time, and personal days.
  • Annual discretionary performance bonus may be available.

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