Job 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)
Jobcode: Reference SBJ-rb1zjo-3-128-203-143-42 in your application.