Senior Data Analytics Leader — Exec Dashboards & Strategy

Cast & Crew

United States

On-site

USD 180,000 - 200,000

Full time

7 days ago

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Benefits offered by this job

Medical, Dental, Vision benefits

PTO and wellness programs

Employee discounts

Job summary

Cast & Crew is seeking a Senior Manager of Data Analytics to lead our enterprise analytics organization, delivering trusted BI, operational reporting, executive dashboards, and self-service analytics across the company.

The role will manage Analytics Engineers, Data Analysts, and BI Developers while partnering with Product, Finance, Operations, and Executive Leadership to balance technical excellence with strong business collaboration.

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.

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.