Manager, Subscriber Analytics

Data and Analytics Santa Monica, California

Description

SUMMARY

Hulu’s Data Analytics team is seeking a Manager to lead analytics initiatives that will inform our most impactful business decisions. You will design innovative approaches turning data into information, information into insights and insights into data-enabled business decisions that steer the strategic direction of our company. You will be instrumental in leading the use of analytics as a critical value driver and source of competitive advantage across our organization.

The right person for this role has exceptional analytical abilities, thrives in a fast-pace environment, has a demonstrated ability to solve business problems and has a natural ability to establish relationships and communicate effectively. If you are someone who is passionate about driving value through analytics and is motivated by a highly-visible and entrepreneurial position, then this is a great role for you.

WHAT YOU’LL DO

  • Build data models, data visualizations and automated analytics that operationalize insights across the business
  • Be the primary partner for cross-functional stakeholders to define and understand key enterprise KPIs and business metrics
  • Anticipate analytical needs of the business, design diagnostic solutions and deliver highly polished data products and insights
  • Act as a liaison between business units and data engineering teams and partner with stakeholders to establish and support reliable SLAs for key data sets
  • Translate business requirements into technical specifications and explain complex analysis simply through informative and well-organized presentations that contribute to overall business goals
  • Drive the development of prioritized analytics solutions including problem definition, solution design and execution
  • Use internal and external analytics tools, SQL and scripting languages to access and analyze complex data
  • Drive adoption of analytical solutions and business intelligence tools
  • Encourage the collection of new data and the improvement of existing data sources
  • Measure and improve the quality of analytics solutions on an ongoing basis
  • Provide technical mentorship and professional career development to supporting team members and work to retain top talent by building career paths and nurturing growth

WHAT TO BRING

  • 6+ years of hands-on and/or management of analytical work experience designing, building, and evaluating analytical datasets with strong focus on action-oriented outcomes
  • 2+ years of leadership experience including people management, mentorship, technical leadership and project management
  • Extensive experience collecting, validating and analyzing data and crafting an actionable story for technical and non-technical audiences
  • Experience operationalizing analytics in “big-data” environments and implementing data insights into actionable strategic plans
  • Expert SQL skills for querying, advanced analysis, performance optimization and persisting data
  • Excellent data visualization skills with tools like Tableau, Looker, ThoughtSpot, MicroStrategy, etc.
  • Familiarity with data science programming languages like R and Python is a plus
  • Demonstrated understanding of data warehousing and ETL concepts including data pipelines, engineering, data quality and business logic
  • Experience in building financial and data models with predictive outcomes
  • Excellent relationship management and the ability to work across business teams and functions
  • Ability to project manage and comfortable working in a fast-paced, highly iterative environment
  • A high sense of accountability with an ability to multi-task and schedule work effectively
  • Outstanding verbal and written communication and presentation skills

NICE-TO-HAVES

  • Experience in the streaming media industry or other subscription-based service
  • Experience in the technology industry, knowledge of data products
  • Python experience writing, managing and deploying code
  • BA or BS in a quantitative field (Business, Math/Statistics, Economics, CS, Engineering, or similar)