Top 11 Data analyst Jobs in Pullman, Wa

Data Analyst - Taxonomy and Classification - 1030
Lightcast —Moscow, ID
- Full-time
- Remote
- Computer Science
- Mid-level
- SQL
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3d
Mortgage Data Analyst II
New American Funding —United States
- From $90,000 a year
- Full-time
- Background check
- Computer Science
- Writing skills
- Paid holidays
- Health insurance
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3d

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Mortgage Data Analyst II
New American Funding —United States
Bachelor’s degree in business, Statistics, Computer Science, Mathematics, or a related field preferred. Own the design, development, and maintenance of ongoing…
From $90,000 a year
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3d

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Senior Technical Business Analyst
Manifest Solutions Corp —Columbus, OH
Bachelor's degree in computer science, information systems, business or related field of study; Or Associate's degree in computer science or related field of…
$92,000 - $110,000 a year
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Technical Business Analyst
Solu Technology Partners —Columbus, OH
Analyze current-state and future-state business processes, identifying gaps, dependencies, risks, and impacts.
$115,000 a year
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Data Analyst - Taxonomy and Classification - 1030

Lightcast -
Moscow, ID

Quick Apply

Job Details

Full-time
3 days ago

Qualifications

SQL
Bachelor's degree

Full Job 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

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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data analyst jobs in pullman, wa

Data Analyst - Taxonomy and Classification - 1030

Mortgage Data Analyst II

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I want to receive the latest job alert for data analyst in pullman, wa

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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.

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