обновлено 10 дней назад
Analytics Engineer (WNBA)
115 000 - 130 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
is a professional basketball organization supporting the W, a women’s basketball league combining competition, entertainment, digital media, and community outreach.
What you will do
- Design and develop analytical data models supporting W reporting, advanced analytics, AI, and self-service reporting.
- Integrate fan identity, subscription, engagement, and viewership data into a unified W 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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