Disney Streaming Services (DSS) is looking for a Sr. Data Analyst to help deliver critical analytic insights and visualizations around our audiences. This individual will analyze ESPN+ and Disney+ audiences across the company to help guide marketing strategy, operations and data product development. He/she will be instrumental in the management and analysis of our audience development and use practices. The ideal candidate will be someone with deep knowledge in audience building, segmentation, activation and experienced in digital media channels. Responsibilities : Collaborate closely with the engagement team to manage and coordinate audience tactics within marketing plans Writing audience rules, queries, and merge rules Perform deep-dives of audience campaigns to inform best practices for different products and strategies Assist in providing ongoing reporting and analysis to inform and support business and marketing decisions Understand key drivers and audiences for each business unit and their specific marketing potential Create documentation around new processes derived from audience testing results Collaborate with teams to develop comprehensive onsite and paid media campaigns to drive acquisition and retention Basic Qualifications : 4+ years relevant experience with a proven track record of leveraging audience analytics to drive significant business impact Demonstrated experience in audience development Relational, no-SQL and/or columnar data experience Proficient with SQL and Python/R or other statistical programming language Experience with Data Management Platforms (BlueKai preferred) and Data Onboarding Providers (Liveramp preferred) Familiarity with dashboard creation and data visualization tools like Tableau, Looker, etc. Strong understanding of 1st and 3rd party targeting capabilities The ability to turn raw data into visual insights to help support decisions Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels Ability and desire to lead projects independently from start to finish, working with internal and external teams to make decisions and maintain momentum Preferred Qualifications: Working within the Marketing/Advertising vertical Machine learning experience Required Education : Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)

We are seeking a Data Analyst who will partner with business and operating teams who will focus on reporting to monitor key performance indicators and metrics. Collaborating across disciplines, you will design and implement reporting that enables internal clients to access, explore and monitor their data. Responsibilities : Partner with colleagues facilitating the design, build and automation of reports / dashboards that provide insight into customer conversion and behavior. Partner with cross-functional colleagues to identify and report on short-term and long-term performance. Implementing self-service tools used to access disparate data sources (both legacy and cloud-based). Train and support colleagues in the use of self-service data exploration and visualization tools. Analyze variability from trends; exploring data and communicating findings to influence acquisition and retention strategies. Perform ad hoc analysis as necessary. Instigate process change to evolve our subscriber reporting with the growing needs of the subscription business. Basic Qualifications : 2+ years of relevant experience. 1+ years work experience implementing and reporting on business key performance indicators. 1+ years work experience using SQL is required. Strong analytic SQL skills and experience working with traditional relational databases and/or NoSQL databases such as Hadoop / Hive, BigQuery, Redshift. Additional programming languages (e.g. Python, R) preferred. Familiarity with data exploration / data visualization tools like Tableau, Chartio, etc. Ability to think strategically, analyze and interpret market and consumer information. Strong communication skills – written and verbal presentations. Excellent conceptual and analytical reasoning competencies. Degree in an analytical field such as economics, mathematics, or computer science is desired. Comfortable working in a fast-paced and highly collaborative environment.