Lead Data Analyst

Job Description

Disney Streaming is looking for a Lead Data Analyst to join our International Data & Analytics team to support a growing ecosystem of Disney's Streaming offerings. At Disney Streaming, data is central to measuring all aspects of the business, and critical to our operations and growth. The data organization masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering data-driven insights and actionable recommendations. The Data & Analytics team collaborates cross-functionally across the Disney Streaming organization and partners with different business functions such as Data Science, Business Operations, Product, Marketing, Engineering, Finance, and more to generate insightful, compelling, and strategic analyses and recommendations.

At Disney Streaming, we are tackling large, challenging problems such as understanding consumer behavior, subscriber engagement and retention, funnel conversion, marketing acquisition strategy, executive reporting, and partnership performance, among many other global initiatives. We are looking for a strong analyst who is interested in tackling growth initiatives and translating data and insights into business strategy In addition to technical and analytical acumen (working with KPIs, investigating data trends, etc.), the data organization requires attention to detail, a strong sense of accountability, collaboration skills, and stakeholder management.

Responsibilities:
• Be the main point of contact for the APAC region, while supporting the International Analytics team's other regional initiatives (EMEA, LATAM, US/CA)
• Partner with analytics stakeholders to provide ongoing reporting and analysis of business KPIs/metrics to inform and support the regions business, product, and marketing decisions
• Understand and contribute regional point of views on core business logic used to measure trends across Disney Streaming's services (Disney+, Hulu, ESPN+, Star+)
• Create presentations with analysis and insights for both technical and non-technical audiences
• Create and review operational dashboards to facilitate data self-service for stakeholders and educate end users on how to interpret data
• Partner with internal teams to improve processes and standardize best practices (such as data modeling, documentation, automation)
• Perform deep-dive data analyses to better understand growth trends and business performance across regions, products and partners

Basic Qualifications:
• 7+ years of hands-on analytical work experience with SQL
• Proficiency with data visualization tools such as Tableau, Looker
• Ability to think strategically, analyze large data sets, and interpret data trends
• Strong analytical and technical skills with the ability to apply business strategy to data analysis and communicate impact with stakeholders
• Experience translating complex reporting needs into technical specifications
• Experience performing root-cause analysis to identify patterns in customer data sets, such as acquisition or retention metrics
• Exceptional interpersonal skills and written communication skills
• Experience operating in an SDLC environment and deploying code
• Strong experience in documenting data requirements, data strategy, data rules (standardization, cleanse, and validation)
• Comfortable working hours that allow collaboration with APAC.

Preferred Qualifications:
• Understanding of APAC market behavior and trends
• Leadership experience (including people management, mentoring interns, technical leadership, and project management)
• Experience in the streaming media industry or other subscription-based service
• Experience in the technology industry and knowledge of data products
• Subject matter expertise within any analytics subfield: growth accounting, churn analytics, funnel conversion analytics, partner analytics, business analytics, content analytics, marketing analytics, product analytics
• Python / R experience writing, managing, and deploying code
• Expertise in building dashboards in Looker (LookML) or Tableau
• Understanding of statistics concepts (e.g., hypothesis testing, regression analysis)
• Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow

Preferred Education
• BA or BS in a quantitative field (Business, Math/Statistics, Economics, CS, Engineering, or similar)

Jobcode: Reference SBJ-gpp9x4-52-14-150-55-42 in your application.