PTR Global
Data Quality Analyst (Media & Entertainment, Taxonomist, Metadata)
We’re looking for a hands-on Data Quality Analyst to understand datasets, define and capture metadata, build and maintain taxonomies, and improve data quality.
- 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: conduct 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 datasets (e.g., Client TV+, Client Music, App Store); 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 top datasets and iterate
- Implement a basic data quality rule set
- Document processes and handoffs; recommend tool/process changes for scale
Tooling Experience
- Python or R for cleansing (pandas, dbt exposures if applicable)
- Visualization for profiling/quality dashboards (Tableau, Power BI, Looker)
- Version control and tickets (Git, Jira)
Skills
- Media & Entertainment – Required
- Data Science – 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.
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