The Disney Streaming Analytics’ Content & Engagement Core Data team is seeking a Data Analyst who will help build and scale our data that will empower us to measure and understand engagement behavior for our ad-supported product within Disney+ and Hulu platforms. We partner with other teams across the business to turn data into information, information into insights and insights into key business decisions that steer the strategic direction of the company. The right person for this role thrives in a fast-paced environment, loves problem-solving, and is a good communicator and a self-starter; If you are someone who gains personal happiness from transforming data into knowledge and driving business action, then this is a phenomenal role for you.
We are seeking a technical Data Analyst who will focus on understanding and communicating impact and contribution of ad-supported engagement to our many stakeholders. Collaborating with finance, product, data engineering, data science, and business teams, this position will act as a subject matter expert for ads streaming data within Disney+ and Hulu while supporting multiple product launches and initiatives. This expertise will manifest in the design and implementation of core engagement data models that enable internal clients to explore, analyze, and monitor data.
ETL & Metric Design: Own metric design and creation by defining business requirements, framework & optimization, and long term data scalability.
Creation of a Single Source of Truth: Bring together analysts and stakeholders from across the team to define and standardize metrics.
Partnership and communication: Partner closely with business stakeholders to identify and understand what they need to drive decisions, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Reporting and Performance: support reporting for exceptionally large-scale data. Serve as an expert for analysts on the team and a partner with Data Engineering in designing and building performant ETLs, intermediary tables, and beautiful and quick Tableau and Looker dashboards.
A Bachelor’s degree or above in Computer Science, MIS, Statistics, Economics, Mathematics, Data Engineering, or related degree.
3+ years of analytical experience, ideally specifically in analytics and/or engineering.
Mastery of SQL, some experience with SparkSQL, Hive, etc. a plus
Experience developing and maintaining optimized tables for reporting through ETLs.
Project and resource management experience, outlining objectives, and timelines, and coordinating work across multiple contributors.
Some experience with Python/R or other statistical programming languages.
Intense drive and passion for delivering exceptional products.
Strong communication skills, as well as written and verbal presentation skills and experience presenting to diverse audiences.
Expertise developing data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
A sense of humor
Unique passions or areas of interest that influence the way you interact with others and/or do your job
Additional Information
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