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Open nowPosted 53 days ago

Senior Manager, Data Analytics

Cast & Crew11 open roles

Pay
$180,000 – $200,000 a year
Where
Remote - United States of America
Work mode
Remote
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Your applicationOpen nowSenior Manager, Data AnalyticsCast & Crew · Remote - United States of America
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The clock on this job

Early applications get read.

12.9% of postings close within 7 days. Measured by our own scanner across the market. Cast & Crew postings stay open a median of 12 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 12.9%7 days
  4. 21.0%14 days
  5. 35.6%30 days
  6. 58.5%60 days
This job: posted 53 days ago

Cast & Crew median: 12 days open

The posting

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

  • 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

Required Qualifications

  • 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

Nice to Have

  • 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

What You Will Build

  • Executive dashboards and enterprise KPI scorecards
  • Trusted semantic data models for self-service analytics
  • Business intelligence solutions supporting strategic decision making
  • Operational reporting across enterprise business functions
  • Analytics governance and enterprise metric standards
  • Data products that empower business teams to make faster, more informed decisions

What Success Looks Like

  • Trusted analytics used consistently across the organization
  • Executive dashboards providing real-time visibility into business performance
  • Increased adoption of self-service analytics
  • Clearly defined enterprise KPIs with consistent business definitions
  • Strong partnerships between Analytics, Product, Engineering, and Business teams
  • A high-performing analytics organization that delivers measurable business value

Special Work Conditions

  • Sedentary – Involves sitting most of the time but may involve walking or standing for brief periods of time. Some positions may entail exerting up to 15 lbs. of force occasionally and/or a negligible amount of force to lift, carry, push, or pull.

Organizational Scope

The Senior Manager of Data Analytics is responsible for the organization's analytical capabilities, including:

  • Business Intelligence
  • Executive Reporting
  • Operational Reporting
  • Self-Service Analytics
  • Analytics Engineering
  • KPI Development
  • Data Visualization
  • Business Metrics & Governance
  • Analytical Data Products
  • Advanced Analytics

Primary Partners

  • Data Engineering
  • Software Engineering
  • Product Management
  • Finance
  • Operations
  • Customer Success
  • Executive Leadership

What We Offer

Cast & Crew provides a comprehensive package of employee benefits including: Medical, Dental, Vision, PTO, health and wellness programs, employee discounts, and more! Note: Cast & Crew benefits are subject to eligibility requirements.

Cast & Crew is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

CA residents Your personal information may be collected in connection with certain services provided by Cast & Crew or its affiliated companies. A summary of your California privacy rights can be found at: https://www.castandcrew.com/privacy-policy/

Compensation is commensurate with various factors including, but not limited to, relevant experience, qualifications, skills, training, licensure, certifications, geographic cost of labor, and other business and organizational needs. Compensation range for candidates in other locations may differ based on the cost of labor in that location. The compensation range for this position is: $180,000.00 - $200,000.00 per year.

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