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. Apply tot his job Apply To this Job