
501 - 1000 employees
đź Consulting
đĽ Healthcare
đŚ Logistics
đ° Private equity on 2013-03
Consulting ⢠Healthcare ⢠Logistics
Cast & Crew is a provider of cloud-based software and professional services that support the full lifecycle of film, television, streaming and live-event productions. They offer production accounting, payroll and HR, timekeeping, digital onboarding, content and asset collaboration, reporting/analytics, and industry-specific services such as tax incentives guidance, workers' compensation, residuals, and financing. Cast & Crew serves production companies and entertainment businesses with B2B SaaS solutions and managed services to streamline workflows and ensure compliance across global productions.
đ September 8
đşđ¸ United States â Remote
đľ $180k - $200k / year
â° Full Time
đ Senior
đ Data Analyst
đŚ H1B Visa Sponsor
đť Ghost score 23%
Where this job comes from
Posted on Cast & Crew's careers page, not through a job board
First seen by Remote Rocketship September 8
Still open on Cast & Crew's site. Checked 8 hours ago.

501 - 1000 employees
đź Consulting
đĽ Healthcare
đŚ Logistics
đ° Private equity on 2013-03
Consulting ⢠Healthcare ⢠Logistics
Cast & Crew is a provider of cloud-based software and professional services that support the full lifecycle of film, television, streaming and live-event productions. They offer production accounting, payroll and HR, timekeeping, digital onboarding, content and asset collaboration, reporting/analytics, and industry-specific services such as tax incentives guidance, workers' compensation, residuals, and financing. Cast & Crew serves production companies and entertainment businesses with B2B SaaS solutions and managed services to streamline workflows and ensure compliance across global productions.
⢠Lead and develop teams of Analytics Engineers, Data Analysts, and Business Intelligence developers ⢠Define and execute the enterprise analytics strategy ⢠Partner with business leaders to identify reporting and analytics priorities ⢠Deliver executive dashboards, operational scorecards, and self-service analytics solutions ⢠Establish enterprise reporting standards, KPIs, and business metrics ⢠Ensure data quality, consistency, and governance across analytical platforms ⢠Build scalable semantic models and curated datasets for business users ⢠Drive adoption of self-service BI capabilities ⢠Partner with Data Engineering to define enterprise data models and trusted data sources ⢠Translate complex business questions into measurable analytical solutions ⢠Lead prioritization, planning, and execution of analytics initiatives ⢠Mentor analytical talent and foster a culture of curiosity, continuous improvement, and business partnership ⢠Build executive dashboards and enterprise KPI scorecards ⢠Build trusted semantic data models for self-service analytics ⢠Develop business intelligence solutions supporting strategic decision making ⢠Deliver operational reporting across enterprise business functions ⢠Establish analytics governance and enterprise metric standards ⢠Develop data products that empower business teams to make faster, more informed decisions
⢠Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, or related field ⢠10+ years of experience in analytics, business intelligence, or data platforms ⢠5+ years of leadership experience managing analytics teams ⢠Strong understanding of dimensional modeling and data warehousing concepts ⢠Advanced SQL expertise ⢠Experience with enterprise BI platforms such as ThoughtSpot, Power BI, Tableau, Looker, or similar ⢠Experience building executive dashboards and operational reporting ⢠Strong understanding of KPIs, metrics, and business performance measurement ⢠Experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift ⢠Experience partnering with Engineering, Product, Finance, and Operations ⢠Excellent communication and executive presentation skills ⢠Strong project planning, prioritization, and stakeholder management experience ⢠Experience with Python or R for advanced analytics ⢠Experience with statistical analysis and forecasting ⢠Experience supporting AI and machine learning initiatives ⢠Experience with semantic modeling platforms ⢠Experience with experimentation and A/B testing ⢠Experience using AI-assisted analytics tools ⢠Experience within media, payroll, financial systems, or enterprise SaaS
⢠Medical ⢠Dental ⢠Vision ⢠PTO ⢠Health and wellness programs ⢠Employee discounts
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