Data Quality Analyst Job at Jobs via Dice in Culver City

Job Overview We are looking for a Taxonomist 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 modeling: 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 Cataloging 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); escalation of risks and enforcement of access policies Qualifications 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). 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, OpenMetadata) Visualization for profiling/quality dashboards (Tableau, Power BI, Looker) Version control and tickets (Git, Jira) 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 Apple TV+, Apple 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 Job Details Data Quality Analyst (Media & Entertainment, Taxonomist, Metadata) Santa Monica, CA $107,185.00-$138,710.00 2 weeks ago Seniority Level Mid-Senior level Employment Type Full-time Job Function Information Technology Software Development #J-18808-Ljbffr