Senior Manager, Data Analytics

🏢 Cast & Crew · all 10 jobs
📍 United States
💰 USD 180,000 - 200,000 / annual
📅 Posted Sep 13, 2026 · via Himalayas
🏷 Business Intelligence, Analytics Engineering, Data Management, Senior Management, Senior Data Analysis Manager, Senior Manager Analytics +4 more
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About Us

At Cast & Crew, we’ve empowered creativity and supported the global entertainment industry for decades. Together with our family of brands - Backstage, CAPS, Checks & Balances, Final Draft, Media Services, Sargent-Disc, and The TEAM Companies – we operate as a combined entertainment technology and services provider offering industry standard screenwriting accounting software, digital payroll products, data & reporting, and a host of creative tools. The industry continues to move faster than ever, and the need for our expertise, our technology, and our people has never been greater. We are a production’s best ally every step of the way. #OneCastOneCrew

At Cast & Crew, data is a strategic asset that drives better decisions across every part of the business. Our Analytics organization transforms enterprise data into trusted insights that improve operational efficiency, customer experience, product strategy, and business performance.

We are looking for leaders who combine strong analytical thinking with exceptional execution, enabling teams to deliver meaningful business outcomes through data.
Summary

Cast & Crew is seeking a Senior Manager of Data Analytics to lead our enterprise analytics organization. This role is responsible for delivering trusted business intelligence, operational reporting, executive dashboards, self-service analytics, and advanced analytical solutions that enable data-driven decision making across the company.

The Senior Manager will lead teams of Analytics Engineers, Data Analysts, and BI Developers while partnering closely with Product Management, Finance, Operations, Engineering, Customer Success, and Executive Leadership.

Success in this role requires balancing technical excellence with business partnership—ensuring data is accurate, accessible, and actionable for stakeholders throughout the organization.
Responsibilities

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Lead and develop teams of Analytics Engineers, Data Analysts, and Business Intelligence developers

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Define and execute the enterprise analytics strategy

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Partner with business leaders to identify reporting and analytics priorities

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Deliver executive dashboards, operational scorecards, and self-service analytics solutions

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Establish enterprise reporting standards, KPIs, and business metrics

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Ensure data quality, consistency, and governance across analytical platforms

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Build scalable semantic models and curated datasets for business users

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Drive adoption of self-service BI capabilities

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Partner with Data Engineering to define enterprise data models and trusted data sources

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Translate complex business questions into measurable analytical solutions

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Lead prioritization, planning, and execution of analytics initiatives

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Mentor analytical talent and foster a culture of curiosity, continuous improvement, and business partnership

Required Qualifications

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Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, or related field.

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10+ years of experience in analytics, business intelligence, or data platforms

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5+ years of leadership experience managing analytics teams

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Strong understanding of dimensional modeling and data warehousing concepts

- Advanced SQL expertise

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Experience with enterprise BI platforms such as ThoughtSpot, Power BI, Tableau, Looker, or similar

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Experience building executive dashboards and operational reporting

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Strong understanding of KPIs, metrics, and business performance measurement

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Experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift

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Experience partnering with Engineering, Product, Finance, and Operations

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Excellent communication and executive presentation skills

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Strong project planning, prioritization, and stakeholder management experience

Nice to Have

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Experience with Python or R for advanced analytics

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Experience with statistical analysis and forecasting

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Experience supporting AI and m

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