The Role
The Data Analyst will evaluate and enhance Lightcast's data quality, classify labor market data, resolve ambiguities, and develop frameworks for data processes.
Summary Generated by Built In
The Data Analyst – Taxonomies and Classification at Lightcast is responsible for evaluating and improving the quality, coverage, and relevance of Lightcast’s enriched data, models, and taxonomies. This role focuses on analyzing and classifying large-scale labor market data, resolving data ambiguities, developing decision-making frameworks, and ensuring data quality standards. The ideal candidate is analytical, detail-oriented, and passionate about identifying patterns in data to improve taxonomy structures and data products
Major Responsibilities:
- Interpret and classify natural language data such as job titles, job postings, and company names using NLP-related methodologies.
- Perform root cause analysis to identify and resolve data quality and classification issues.
- Develop and maintain decision-making criteria, enrichment processes, and quality assurance standards.
- Conduct research to support taxonomy improvements and identify new use case opportunities.
- Execute data extraction, ETL, and data mining processes using SQL, Python, R, Excel, or similar tools.
- Work with relational databases such as Snowflake, Postgres, SQL Server, or SQLite.
- Communicate complex data findings and taxonomy-related issues to technical teams and stakeholders.
- Respond to customer feedback and questions related to datasets and taxonomy accuracy.
- Contribute to product roadmapping, project scoping, and process improvements.
- Utilize visualization and project management tools such as Kibana, Looker, Tableau, Jira, Wrike, or Asana as needed.
Education and Experience:
- Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Mathematics, or a related technical field; advanced degree or equivalent practical experience preferred.
- 1–3 years of experience working with ML classification models, taxonomy development, or maintaining proprietary/government taxonomies across various data types.
- Experience with SQL and data extraction/query languages such as Elasticsearch, KQL, or SPARQL.
- Understanding of text analysis, natural language processing (NLP), machine learning (ML), and statistical analysis techniques preferred.
- Experience with AI coding copilots such as Claude or Codex is a plus.
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.
Skills Required
- Bachelor's degree in Data Analytics, Information Systems, Computer Science, Mathematics, or a related technical field
- 1-3 years of experience with ML classification models, taxonomy development, or maintaining taxonomies
- Experience with SQL and data extraction/query languages
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The Company
What We Do
Emsi Burning Glass is now Lightcast. Our name is new, but our dedication to providing the world’s best data-driven talent strategies remains the same. We’re going to continue bringing clarity to the labor market, guiding our customers through a complex and changing world and giving them the competitive advantage they demand. Our mission is to unlock new possibilities in the labor market.
