The Associate Data / Business Analyst at Lightcast develops and maintains standardized taxonomies for labor market data to ensure consistency, quality, and accuracy across the organization. This role analyzes labor market data, creates standardized classifications, collaborates with cross-functional teams, and supports data governance initiatives that enhance labor market intelligence.
Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.
Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.
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Develop and maintain taxonomies for labor market data, including job titles, skills, education requirements, and industry classifications.
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Analyze labor market data to identify patterns and establish standardized terms and classifications.
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Partner with cross-functional teams to ensure taxonomies align with business needs and are integrated into data models and databases.
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Implement and maintain data governance processes to ensure data quality, consistency, and accuracy.
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Support labor market data integration and migration projects while maintaining taxonomy integrity.
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Organize and analyze large, unstructured datasets.
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Monitor industry trends and best practices related to labor market taxonomies, ontologies, and data governance.
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Bachelor's degree in Computer Science, Information Science, Library Science, or a related field.
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1+ years of experience in labor market data management, analytics, taxonomy development, or a related field.
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Strong analytical and problem-solving skills with exceptional attention to detail.
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Experience working with large, unstructured datasets.
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Familiarity with data modeling and database design principles.
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Experience with SQL, Elasticsearch, KQL, SPARQL, or similar data query languages is preferred.
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Experience with Python or R and data visualization tools such as Tableau, Looker, or Kibana is a plus.
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Knowledge of labor market taxonomies and ontologies (e.g., NAICS, CIP, ESCO, O*NET-SOC) is preferred.
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Familiarity with NLP or machine learning concepts is a plus.
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Excellent written and verbal communication skills and the ability to work independently and collaboratively.