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Language Data Analyst Jobs in Cleveland, OH (NOW HIRING)

Tata Consultancy Service Limited

Analyst

Cleveland, OH · On-site

$90K - $110K/yr

The role offers the chance to influence data pipeline standards, strengthen platform capabilities ... Proficiency in at least one programming language, such as Python, Go, or Javascript, along with ...

Nestle

Senior Supply Chain Analytics Analyst

Solon, OH · On-site

$105K - $120K/yr

This role will additionally focus on designing and delivering AI-powered analytics solutions leveraging large language models (LLMs), and advanced data platforms to enable intelligent, scalable, and ...

Keybank

Data & BI Sr Assoc

Brooklyn, OH · On-site

This role partners closely with business leaders, analytics teams, and technology partners to ... Translate complex technical topics into business-friendly language. * Create process flow diagrams ...

KeyBank

Data & BI Sr Assoc

Brooklyn, OH · On-site

This role partners closely with business leaders, analytics teams, and technology partners to ... Translate complex technical topics into business-friendly language. * Create process flow diagrams ...

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All JobsLanguage Data Analyst JobsLanguage Data Analyst Jobs in Cleveland, OH

Language Data Analyst information

See Cleveland, OH salary details

$32.9K

$80K

$131.7K

How much do language data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for language data analyst in Cleveland, OH is $80,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $93,900.00 per year, depending on experience, location, and employer.

What is a language data analyst?

A Language Data Analyst is responsible for processing, analyzing, and improving linguistic data used in AI, machine learning, or natural language processing (NLP) systems. They work with large datasets, annotate text, evaluate language models, and ensure data quality. The role requires proficiency in one or more languages, strong analytical skills, and familiarity with computational linguistics or data processing tools.

What does a language data analyst do?

A typical day for a Language Data Analyst involves collecting, processing, and annotating language data, performing quality checks, and analyzing linguistic patterns to support the development of language technologies. You might work closely with data scientists, computational linguists, and software engineers to refine datasets and improve language models. The role often requires balancing independent data tasks with collaborative problem-solving within a multicultural team environment. Over time, you may have opportunities to take on project leadership, specialize in certain languages or technologies, and contribute to product innovation.

What are the key skills and qualifications needed to thrive as a language data analyst?

To succeed as a Language Data Analyst, you need strong analytical skills, linguistic expertise, and a relevant degree in linguistics, computer science, or a related field. Familiarity with data analysis tools such as Python, SQL, annotation platforms, and experience with Natural Language Processing (NLP) frameworks is highly valuable. Excellent attention to detail, problem-solving abilities, and clear communication skills help set candidates apart. These competencies are crucial to ensure the accuracy and quality of language data, enabling effective collaboration and insightful analysis in multilingual and multicultural projects.

What are popular job titles related to Language Data Analyst jobs in Cleveland, OH?

For Language Data Analyst jobs in Cleveland, OH, the most frequently searched job titles are:

What job categories do people searching Language Data Analyst jobs in Cleveland, OH look for?

The top searched job categories for Language Data Analyst jobs in Cleveland, OH are:

Language Data Analyst jobs near you
Infographic showing various Language Data Analyst job openings in Cleveland, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $80,025 per year, or $38.5 per hour.

HR Data Analyst

MAI WEALTH MANAGEMENT, INC.

Independence, OH • On-site

Full-time

Posted 4 days ago

Job description


GENERAL JOB DESCRIPTION

The HR Data Analyst supports data-driven decision-making across Human Resources by collecting, analyzing, validating, and reporting employee and organizational data. This role develops reports, dashboards, and insights that help the CHRO and HRBPs identify workforce trends, measure program effectiveness, improve processes, and support organizational goals.


MAJOR DUTIES AND RESPONSIBILITIES

  • Collect and maintain HR data: Gather, organize, and maintain employee and workforce data from HRIS for payroll, benefits, talent acquisition, learning, performance, engagement surveys, and other relevant sources.
  • Ensure data accuracy and integrity: Audit, clean, validate, and reconcile HR data to identify errors, inconsistencies, duplicates, or gaps; partner with HR BPs, HR Operations Manager, and other system owners to correct issues.
  • Develop reports and dashboards: Create and maintain recurring and ad hoc reports, dashboards, and scorecards that track key HR metrics such as headcount, turnover, retention, hiring activity, time-to-fill, internal mobility, engagement, absenteeism, training completion, and workforce demographics.
  • Analyze workforce trends: Interpret HR data to identify patterns, risks, opportunities, and insights related to staffing, turnover, recruiting, employee experience, performance, compensation, learning, and organizational effectiveness.
  • Translate data into insights: Present findings in a clear, concise, and actionable format for HR leaders, business partners, managers, and executive stakeholders; explain what the data means and how it can inform decisions.
  • Support strategic HR initiatives: Provide analytical support for workforce planning, talent management, employee engagement, retention strategies, performance programs, compensation reviews, organizational design, and diversity-related reporting.
  • Partner with stakeholders: Collaborate with HR team members, business leaders, Finance, IT, and other partners to understand reporting needs, define metrics, document requirements, and deliver meaningful analytics solutions.
  • Improve HR processes and reporting: Identify opportunities to streamline reporting, automate recurring tasks, standardize metrics, improve data workflows, and increase the efficiency and reliability of HR analytics processes.

 

 EXPERIENCE/CREDENTIALS

  • Bachelor’s degree in Human Resources, Business Administration, Business Analytics, Industrial/Organizational Psychology, or a related field.
  • 2–4+ years of HR experience, preferably with a focus on workforce analytics, employee engagement, HRIS reporting, and data interpretation.
  • Experience with HRIS platforms and analytics tools; ADP Workforce Now and/or ADP TotalSource preferred.
  • Advanced Microsoft Excel skills and experience required.
  • Experience with reporting or dashboard tools such as Power BI or Tableau; SQL or other query language experience a plus.
  • Relevant HR or people analytics certification preferred, such as SHRM-CP, PHR, SHRM People Analytics Specialty Credential, or AIHR People Analytics Certificate.


COMPETENCIES

  • Strong analytical, organizational, interpersonal, and problem-solving skills.
  • Ability to translate complex data into clear, actionable insights for non-technical stakeholders.
  • Proficiency with HR analytics, reporting, and visualization tools, including Excel, Power BI, or Tableau.
  • Collaborative, adaptable, and able to work effectively in both independent and team-based settings.
  • Maintains confidentiality, discretion, professionalism, and a high level of integrity.


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