Data Quality Analyst (Media & Entertainment, Taxonomist, Metadata)

Data Quality Analyst (Media & Entertainment, Taxonomist, Metadata) Day 1 Onsite Culver City, CA Hybrid Schedule: 3 Onsite Days (Tue, Wed, Thur) & 2 Remote Days (Mon, Fri) Long-Term Contract Direct Client Opportunity No Middle Layer or Implementation Partners Involved Summary • We’re looking for a hands-on Data Quality Analyst to understand our datasets, define and capture metadata, build & maintain taxonomies, and improve data quality. • You will profile data, standardize definitions, clean and de-duplicate records, and make data easier to discover and trust across the organization. Responsibilities • Data discovery and profiling: inventory sources, assess data health, completeness, and lineage; summarize patterns and anomalies • Metadata modelling: define data dictionaries, business glossaries, and metadata schemas (technical and business); standardize naming conventions • Taxonomy and classification: design and maintain controlled vocabularies, tagging schemes, and hierarchies; map synonyms; apply metadata at scale • Data quality improvement: design validation rules, deduplication and standardization logic; implement profiling and monitoring; resolve data defects • Canonical mapping: map disparate source fields to a common model; document transformations and provenance • Cataloguing and stewardship: populate and maintain the data catalog; implement lineage, ownership, usage notes, and data access classifications • Collaboration: run stakeholder interviews to capture definitions and use cases; partner with data engineering/ML/BI to instrument metadata and checks in pipelines • Documentation and enablement: publish standards, playbooks, and change logs; train teams on taxonomy usage and good metadata practices • Enforce Compliance and ethics: apply retention, sensitivity, and privacy tags (e.g., PII); escalate risks and enforce access policies Required Experience • 3+ years in data analysis, data stewardship, taxonomy, library/information science, or similar in a media & entertainment company. • Strong SQL experience with data profiling and transformation. Familiarity with Python or R for data cleaning is a plus. • Experience defining data dictionaries, glossaries, and metadata schemas; comfort with controlled vocabularies and classification. • Practical knowledge of data quality techniques: deduping, standardization, validation rules, and root-cause analysis. • Clear communicator who can translate between business and technical audiences; strong documentation habit. • Exposure to data catalogs (Alation, Collibra, Atlan, DataHub), taxonomy tools (PoolParty, SmartLogic, Synaptica), or graph/ontology basics. Familiarity with metadata standards (e.g., Dublin Core, schema.org) and data privacy (e.g., GDPR/CCPA). Success Metrics • % of priority datasets cataloged with complete metadata and owners • Reduction in data quality issues (duplicates, nulls, invalid values) • Time-to-discover datasets/fields decreased; increase in catalog search success and usage • Adoption of taxonomy/controlled vocabularies across key teams The First 90 Days • Audit and profile the entire Client TV+, Client Music and App Store datasets; publish a lightweight data health report and create a backlog • Stand up or improve a data dictionary/business glossary and agree on naming standards with stakeholders • Define initial taxonomy and tagging guidelines; apply to the top datasets and iterate • Implement a basic data quality rule sets • Document processes and handoffs; recommend tool/process changes for scale Tooling Experience • SQL (Snowflake/BigQuery/Redshift/Postgres), spreadsheets • Python or R for cleansing (pandas, dbt exposures if applicable) • Data catalog/lineage tools (Alation, Collibra, Atlan, DataHub, Open Metadata) • Visualization for profiling/quality dashboards (Tableau, Power BI, Looker) • Version control and tickets (Git, Jira) Skills Sets • Data quality -2- 5 Years • Database technology – 2-5 Years • Media & Entertainment – Is required • Big data – Is required • Big Data Analytics – Is required • Data Engineering – 2-5 Year • Data Science – 2-5 Years • Data Visualization – 2-5 Years • Data Warehousing – 2-5 Years Pay Range: $65/hr - $70/hr The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, and vision as well as 401K contributions.