Senior Manager, Data Analytics

Job not on LinkedIn

🔥 18 minutes ago

🇺🇸 United States – Remote

💵 $180k - $200k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

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Cast & Crew

WebsiteLinkedInAll Job Openings

501 - 1000 employees

☁️ SaaS

📱 Media

👥 HR Tech

💰 Private equity on 2013-03

SaaS • Media • HR Tech

Cast & Crew is a provider of cloud-based software and services that support the full production lifecycle for the entertainment industry. The company offers production accounting and AP software (PSL+), digital onboarding and timekeeping tools (Start+, Hours+), collaboration and content tools (Studio+), reporting/data integrations, and a full-service payroll and financial services suite including residuals, workers' compensation, tax-incentive guidance, and related production HR resources. Cast & Crew serves film, television, streaming and live entertainment productions, delivering B2B SaaS products plus specialized payroll and workforce support for production employers and crews.

📋 Description

• 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 • Build business intelligence solutions supporting strategic decision making • Build operational reporting across enterprise business functions • Establish analytics governance and enterprise metric standards • Build data products that empower business teams to make faster, more informed decisions

🎯 Requirements

• 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

🏖️ Benefits

• Medical • Dental • Vision • PTO • Health and wellness programs • Employee discounts