Job Description
Responsibilities
Welcome to Peacock, the dynamic new streaming service from NBCUniversal. Here you'll find more than a job. You'll find a fast-paced, high-flying team for unique birds that want to be at the epicenter of technology, sports, news, tv, movies and more. Our flock works hard to connect people to what they love, each other and the world around them by creating shared experiences through culture-defining entertainment.
As a company, we embrace the power of difference. Our team is committed to creating an organization that champions diversity and inclusivity for all by curating content and a workforce that represents the world around us. We continue to challenge ourselves and the industry by being customer-centric, data-driven creatures of innovation. At Peacock, we are determined to forge the next frontier of streaming through creativity, teamwork, and talent.
Here you can fly to new heights!
Position Overview:
NBCUniversal is looking for a detail-oriented analyst to join our data quality team within Decision Sciences. In this role you will work directly with engineering, analytics, product, marketing, billing, finance, and a wide range of internal stakeholders
You will operate cross-functionally as needed, working with the data architecture, models and platforms, building out projects that help us monitor and evaluate data for stakeholder needs in order to ensure our data ecosystem maintains the highest possible standards for quality, integrity, privacy, security and cataloguing.
Responsibilities include, but are not limited to:
• Perform in-depth exploration of causes, trends, opportunities, and actions required to improve data quality of key metrics, KPIs, and additional data elements
• Provide ad hoc analysis to support data team, business units, and key stakeholders for complex data quality questions
• Partner with stakeholders and implementation specialist during the data onboarding phase on various projects, providing analysis and sharing best practices.
• Evaluating large datasets for quality and accuracy; proactively identifying, addressing and resolving reconcilable discrepancies through daily data analysis
• Improve data quality across products and projects by collaborating and working closely with engineering, management, product, business teams and other required team, contributing directly to development by participating in feedback sessions
• Define and operationalize processes to continuously monitor and quality check data completeness and accuracy
• Develop a complete inventory of data clean up reports, defining the cadence for producing them and addressing uncovered issues
Qualifications/Requirements
• BA/BS in technical or quantitative discipline or relevant work experience
• 3+ years' of primary experience in defining, documenting, and implementing Data Quality best practices, policies & procedures, preferably with consumer data in a large organization
• 3+ years' experience in SQL programming: ability to read/write complex SQL queries to analyze data, investigate systemic defects and validate data quality
• 1+ years of project management experience working within or leading an initiative
• A strong professional background in data manipulation, data analytics, and/or system analysis
• Experience of data governance practices, business and technology issues related to management of product content data (streaming media a plus)
Desired Characteristics
• A good understanding of data distribution/ interfacing methods & technologies including flat versus structured data methods
• Ability to collaborate and work in partnership with different parts of the organization
• Ability to work independently, multitask, and drive your own projects
• Organizational skills and willingness to ask questions and document and report on your work are important
• A passion for TV and movies and defining the future of entertainment
• Experience with Google Cloud Platform and BigQuery, other statistical, data manipulation and visualization tools such as Python, Prometheus, Collibra, Tableau, Data Studio, etc., a plus
Jobcode: Reference SBJ-g3kzj4-35-175-201-245-42 in your application.