About The Job

Disney Streaming is the leading premium streaming service offering live and on-demand TV and movies, with and without commercials, both in and outside the home. Operating at the intersection of entertainment and technology, Disney Streaming has a unique opportunity to be the number one choice for TV. We captivate and connect viewers with the stories they love, and we’re looking for people who are passionate about redefining TV through innovation, unconventional thinking, and embracing fun. Join us and see what this is all about.

We are looking for an experienced Data Analyst to join our Data Governance team. This role requires acute attention to detail, ability to document process/programs, a strong sense of accountability, collaboration skills, and experience with varied large datasets.

In this role you will directly contribute to the success of our data strategy by working on data analysis, assessments, program/process development, KPI definitions, data quality gaps, standardized reporting and regulatory frameworks, and the holistic usage and monitoring of data across our organization.

At Disney Streaming, data is central to measuring all aspects of the business, and critical to its operations and growth. Data Analysts in Governance work closely with the data engineering, back-end services and front-end technology teams, product and analytics teams. They also will work to implement critical compliance and regulatory frameworks, standards and procedures, define key data definitions, data lineage, document data flows and be the subject matter expert of the data flowing into our environment that require stewardship.

What You’ll Do

• Support implementing scalable frameworks, standards and data best practices while upholding integrity and privacy across our data ecosystem and lifecycle.

• Document and implement current workflows, data policies, standards, and procedures for both legacy and new data environments.

• Support the design and curate data dictionaries based on stakeholder requirements for multiple platforms, including websites, mobile apps, and connected devices.

• Work with teams to ensure complete data lineage is captured and managed for our data of record.

• Perform data quality audits, identify data collection issues, suggest improvements, and help implement fixes.

• Manage data taxonomy, reference data management, join model, and master data management for essential data.

• Manage the stakeholder communications to ensure all data consumers are aware of the data governance strategies and any changes.

• Work as a data steward hand-in-hand with the managers of the critical data systems to convey data governance needs.

• Support the documentation and implementation of data quality policies, standards, and procedures for both legacy and new data environments.

Key Qualifications

• Experience working with a metadata cataloging, categorizing and lineage platform

• Exceptional interpersonal skills and written communication skills

• Strong experience in documenting data requirements, data strategy and data rules (standardization, cleanse, and validation)

• Strong analytical and technical skills to troubleshoot issues, analyze the cause, quickly come-up with the possible solution(s), document the changes, and communicate to the change to the organization

• Ability to evaluate risks and provide recommendations / solutions in a timely manner

• 2+ years of SQL

Nice To Haves

• Minimum two years of experience in the technology industry, knowledge of data and product a plus.

• Familiar with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow

• 2+ years of relevant experience in defining and implementing data governance best practices, documenting data flow & process mapping, or a data steward responsible for the metadata management, data quality, KPIs, etc.

• Experience working with regulatory compliance frameworks such as GDPR and CCPA

Basic Education

• Bachelor’s degree required in information science, data management, computer science or related field preferred