Home › Companies › Economicmodeling › Data Analyst - Taxonomy and Classification - 1030
Data Analyst - Taxonomy and Classification - 1030
Economicmodeling · Remote (Work From Home) US · Remote · Active · Lever
Job facts
| Field | Value |
|---|---|
| Company | Economicmodeling |
| Title | Data Analyst - Taxonomy and Classification - 1030 |
| Normalized title | - |
| Department / team | Corporate / Data and Analytics |
| Location | United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Lever |
| Posted / first seen | 2026-05-26 / 2026-06-06 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Economicmodeling. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Corporate. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Economicmodeling |
| Source | c359145f-b91e-4204-9db6-4cda218f2817 |
| ATS provider | Lever |
Description
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
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.
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.
Full job record
| Job ID | efa44a3e4f7b2da9b688e1f44a211ff823e3e3d1 |
| Org ID | 7e360f2e-0845-44e6-b411-f4f143cf809f |
| Source ID | c359145f-b91e-4204-9db6-4cda218f2817 |
| Board ID | c359145f-b91e-4204-9db6-4cda218f2817 |
| Provider | lever |
| Provider Job Key | e6989fd7-3d1d-4bd3-9551-71e0a4b64fb9 |
| Title | Data Analyst - Taxonomy and Classification - 1030 |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Remote (Work From Home) US |
| Department | Corporate |
| Team | Data and Analytics |
| Employment Type | Full Time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.lever.co/economicmodeling/e6989fd7-3d1d-4bd3-9551-71e0a4b64fb9 |
| Apply URL | https://jobs.lever.co/economicmodeling/e6989fd7-3d1d-4bd3-9551-71e0a4b64fb9/apply |
| First Seen At | 2026-06-06 07:56:58Z |
| Last Seen At | 2026-06-06 07:56:58Z |
| Last Checked At | 2026-06-06 07:56:58Z |
| Last Changed At | 2026-06-06 07:56:58Z |
| Inactive At | — |
| Source Posted At | 2026-05-26 20:30:22Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=economicmodeling/date=2026-06-06/2026-06-06T07-56-57-965Z-b69d50f9f201a2b3f751489a5efd20edf5675d1c911058bcd548aa916f207bb9.json |
Event Fields
{
"content_hash": "5076ba5fcf86249f4cb38917c9a2e5fce4084eb2b7dce2155ef1dd320fe7d07a",
"source_hash": "5b8b6e512d4569cdbbb5d4b83e47fbb4124d5e04a7b08c5eb2710ac3b469d0da",
"last_changed_at": "2026-06-06T07:56:58.149Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "Remote (Work From Home) US",
"city": null,
"region": null,
"country": "United States",
"is_remote": true,
"confidence": 0.95
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-06T07:56:58.130Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "Remote (Work From Home) US",
"city": null,
"region": null,
"country": "United States",
"is_remote": true,
"confidence": 0.95
},
"countries": [
"United States"
]
},
"remote_policy": "remote",
"salary_period": null,
"workplace_type": "remote",
"salary_currency": null
}Extensions
{}Native Structured
{
"lists": [
{
"text": "Major Responsibilities:",
"content": "<div>\n\n<li>\n<h3>Interpret and classify natural language data such as job titles, job postings, and company names using NLP-related methodologies.</h3>\n</li>\n<li>\n<h3>Perform root cause analysis to identify and resolve data quality and classification issues.</h3>\n</li>\n<li>\n<h3>Develop and maintain decision-making criteria, enrichment processes, and quality assurance standards.</h3>\n</li>\n<li>\n<h3>Conduct research to support taxonomy improvements and identify new use case opportunities.</h3>\n</li>\n<li>\n<h3>Execute data extraction, ETL, and data mining processes using SQL, Python, R, Excel, or similar tools.</h3>\n</li>\n<li>\n<h3>Work with relational databases such as Snowflake, Postgres, SQL Server, or SQLite.</h3>\n</li>\n<li>\n<h3>Communicate complex data findings and taxonomy-related issues to technical teams and stakeholders.</h3>\n</li>\n<li>\n<h3>Respond to customer feedback and questions related to datasets and taxonomy accuracy.</h3>\n</li>\n<li>\n<h3>Contribute to product roadmapping, project scoping, and process improvements.</h3>\n</li>\n<li>\n<h3>Utilize visualization and project management tools such as Kibana, Looker, Tableau, Jira, Wrike, or Asana as needed.</h3>\n</li>\n\n</div>"
},
{
"text": "Education and Experience:",
"content": "<div>\n<div aria-setsize=\"-1\" id=\"message-list_1779820012.437839\">\n<div>\n<div aria-roledescription=\"message\">\n<div>\n<div>\n<div>\n<div>\n<div>\n<div>\n<div>\n<div>\n\n<li>\n<h3>Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Mathematics, or a related technical field; advanced degree or equivalent practical experience preferred.</h3>\n</li>\n<li>\n<h3>1–3 years of experience working with ML classification models, taxonomy development, or maintaining proprietary/government taxonomies across various data types.</h3>\n</li>\n<li>\n<h3>Experience with SQL and data extraction/query languages such as Elasticsearch, KQL, or SPARQL.</h3>\n</li>\n<li>\n<h3>Understanding of text analysis, natural language processing (NLP), machine learning (ML), and statistical analysis techniques preferred.</h3>\n</li>\n<li>\n<h3>Experience with AI coding copilots such as Claude or Codex is a plus.</h3>\n</li>\n\n</div>\n</div>\n</div>\n</div>\n</div>\n</div>\n</div>\n</div>\n</div>\n</div>\n</div>\n</div>"
}
],
"country": "US",
"createdAt": 1779827422687,
"updatedAt": null,
"categories": {
"team": "Data and Analytics",
"location": "Remote (Work From Home) US",
"commitment": "Full Time",
"department": "Corporate",
"allLocations": [
"Remote (Work From Home) US",
"Moscow, ID"
]
},
"salaryRange": null,
"workplaceType": "remote"
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/efa44a3e4f7b2da9b688e1f44a211ff823e3e3d1?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/7e360f2e-0845-44e6-b411-f4f143cf809fJSONGET https://api.bluedoor.sh/job-postings/v1/sources/c359145f-b91e-4204-9db6-4cda218f2817JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/efa44a3e4f7b2da9b688e1f44a211ff823e3e3d1/eventsJSON