Job Summary
We are looking for an experienced Data Analyst to join our Finance Analytics team to support the design, build and testing of business forecasting and reporting. This role requires acute attention to detail, a strong sense of accountability, collaboration skills, and extensive hands-on experience with reporting and communicating data. You will be working on data analysis, KPI definitions, data investigations and the delivery of organized insights and ideas for rapid and clear communication.
The Finance Analytics function is responsible for data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of analytically supporting the Disney Streaming Finance organization and delivering fact-based actionable recommendations. Through the creation of forecasting, LTV, and ARPU models, this team leads the analytical support for various business decisions. Finance, Product, Marketing, Engineering and Data Science teams will be your partners to execute on innovative methods and best-in-class practices that power all of our improvements.
Responsibilities

• Create, deliver, and continuously improve our business measurement solutions
• Partner closely with finance stakeholders to identify and unlock opportunities to better forecast and report on business performance
• Manage forecasting, Lifetime Value (LTV), and ARPU modeling and development in collaboration with Data Science teams
• Understand the systems and business processes that populate critical systems with data
• Work with stakeholders to outline and define data definitions and apply appropriate usage
• Analyze and report key data quality health KPIs through regular metric monitoring and revise as needed as the number of datasets and critical systems expand
• Translate complex reporting needs into technical specifications, including calculations, custom groups, parameters, filtering criteria and/or aggregations
• Analyze subscriber and behavior data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content
• Build forecasting tools and automate reports and dashboards that provide insights into business measurement and effectiveness
• Build intuitive presentations, interfaces, infographics and visualizations to tell stories with data
• Provide ongoing reporting and analysis to inform and support business, product, and marketing decisions

Basic Qualifications

• 2+ years of hands-on analytical work experience with SQL and/or Python
• Expert proficiency in conducting analysis using SQL
• Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow and comfortable working in collaboration with Engineering and Data Science teams
• Expertise in manipulating large data sets, interpreting data trends, and combining a multitude of disparate data sources
• Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
• Experience documenting data requirements, data strategy, data rules (standardization, cleanse, and validation)
• Perform root-cause analysis to identify patterns in financial and customer data sets and ability to evaluate risks and provide recommendations in a timely manner
• Familiarity with data exploration and using data visualization tools like Tableau or Looker
• Ability to think strategically, analyze and interpret market and consumer information

Preferred Qualifications

• Experience with Lifetime Value (LTV) modeling and business performance forecasting a big plus
• 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) is desired