Senior Manager, Data Analytics

Cast & Crew

5d•$180,000 - $200,000

About The Position

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. 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.

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

Nice To Haves

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

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