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Intermediate Data Analyst Jobs (NOW HIRING)

Central Health

Data Analyst

Austin, TX

OverviewCentral Health's Data Analyst will work alongside a team of other collaborative and engaged ... RequiredAnd1 yearof experience in SQL (preferably T-SQL) and Pythonscripting with an intermediate ...

Central Health

Data Analyst

Austin, TX

OverviewCentral Health's Data Analyst will work alongside a team of other collaborative and engaged ... RequiredAnd1 yearof experience in SQL (preferably T-SQL) and Pythonscripting with an intermediate ...

Futran Tech Solutions Pvt. Ltd.

Data Analyst

Data Analyst Location : Remote Product Operations' focus is to support and educate the people and ... Proficiency with intermediate to advanced SQL concepts for data extraction. Experience in managing ...

Emendata

Data Analyst

San Francisco, CA · On-site

About Us: At Emendata, we help bridge the gap between data and the real world. We partner with ... Basic to intermediate experience with Python, SQL, or R * Analysis: Exceptional problem-solving ...

Central Health

Data Analyst

Austin, TX · On-site +1

Overview Central Health's Data Analyst will work alongside a team of other collaborative and ... with an intermediate to advanced level of expertise Required 1 year of experience in report ...

Central Health

Data Analyst

Austin, TX

Central Health's Data Analyst will work alongside a team of other collaborative and engaged data ... with an intermediate to advanced level of expertise Required 1 year of experience in report ...

Emendata

Data Analyst

San Francisco, CA

About Us: At Emendata, we help bridge the gap between data and the real world. We partner with ... Basic to intermediate experience with Python, SQL, or R * Analysis: Exceptional problem-solving ...

Sunbird Software Inc.

Data Analyst

Sioux Falls, SD · On-site

Analyze and clean data to support accurate modeling and reporting. * Maintain and validate Models ... Intermediate level Excel skills. (Sorting, Filters, Merging Spreadsheets) * SQL (preferred, not ...

Dexian

Data Analyst

Redmond, WA · On-site

Data Analyst On site in Redmond WA Must have PLM tools experience US Citizen or GC Holder only - no ... Intermediate to advanced knowledge of Microsoft Office applications (Excel, Outlook, Word ...

Dexian DISYS

Data Analyst

Redmond, WA

Data Analyst On site in Redmond WA Must have PLM tools experience for Data Analyst - PLM Project ... Intermediate to advanced knowledge of Microsoft Office applications (Excel, Outlook, Word ...

Collabera

Data Analyst

Knoxville, TN

Analytical ability with experience problem solving in HR information systems and data ... Intermediate experience with Microsoft Office with emphasis on Excel. Additional Information If you ...

Conexus

$55 - $75/hr

Conexus is seeking intermediate level data integration engineers for contract work. Candidates will ... Experience with the following is essential Batch data integration SQL Preparing data for analysis ...

Bayer

Data Analyst

Creve Coeur, MO

$71K - $135K/yr

Intermediate Excel and PowerPoint skills and proficient in SQL and Python, including use of common data analysis libraries (e.g., NumPy, Pandas, Matplotlib, Seaborn). Development experience with BI ...

New

InstantServe LLC

Salesforce Data Analyst

Denver, CO · On-site

Salesforce Data Analyst Location: Denver, CO Qualifications: o Salesforce Platform Proficiency § Minimum 2 years' experience with Salesforce Lightning and/or Classic interface with intermediate or ...

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Intermediate Data Analyst information

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How much do intermediate data analyst jobs pay per year?

As of Jun 18, 2026, the average yearly pay for intermediate data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are Intermediate Data Analysts?

Intermediate Data Analysts are professionals who collect, process, and analyze data to help organizations make informed decisions. They possess solid analytical skills, working knowledge of data analysis tools, and the ability to interpret complex data sets. Typically, they have some experience beyond entry-level roles and can handle more advanced tasks such as building reports, creating dashboards, and supporting business strategies with data-driven insights. Their work often involves collaborating with other teams to identify trends and provide actionable recommendations.

How does an Intermediate Data Analyst typically collaborate with other departments within an organization?

As an Intermediate Data Analyst, you'll frequently work alongside teams such as marketing, finance, operations, and IT to gather requirements, interpret data needs, and deliver actionable insights. You may be responsible for translating business questions into analytical tasks, sharing findings through presentations or dashboards, and supporting decision-making processes. Collaboration often involves participating in cross-functional meetings, clarifying data definitions, and ensuring that analysis aligns with organizational goals. Building strong relationships with stakeholders is key to understanding their challenges and ensuring your work has maximum impact.

What are the key skills and qualifications needed to thrive as an Intermediate Data Analyst, and why are they important?

To thrive as an Intermediate Data Analyst, you need strong analytical skills, experience with data manipulation and statistical analysis, and a relevant degree such as in mathematics, statistics, or computer science. Proficiency in tools like SQL, Excel, Python or R, and familiarity with data visualization platforms such as Tableau or Power BI are typically required. Attention to detail, effective problem-solving, and clear communication skills help you translate complex data into actionable insights for stakeholders. These skills and qualities are crucial for delivering accurate analyses that drive informed business decisions.
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Intermediate Data Analyst jobs near you
Infographic showing various Intermediate Data Analyst job openings in the United States as of June 2026, with employment types broken down into 32% Full Time, 64% Part Time, 2% Temporary, and 2% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Labeling Analyst - Speech & Voice AI

Data Labeling Analyst - Speech & Voice AI

Welocalize, Inc.

New York, NY

Full-time

Posted 18 days ago

Welocalize rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

335th of 428 rated business services

Job description

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate Login

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.

MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

  • Update training and test model databases with new or amended synthetic textual and image data.
  • Modify and refine machine learning data creation, annotation, and rating guidelines.

Model Training and Evaluation:

  • Initiate model training processes using internal tools and command-line interfaces.
  • Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

Data Management and Annotation:

  • Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
  • Handle data efficiently, ensuring its integrity throughout the workflow.
  • Engage in data relevance tasks, ensuring data sets are aligned with project goals.
  • Annotate data accurately, ensuring it adheres to set guidelines.

Quality Assurance and Analysis:

  • Conduct manual quality analysis of model results.
  • Recognize error patterns and report anomalies for further investigation.
  • Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
  • Implement basic quality control measures and ensure the reliability of processed data.
  • Utilize intermediate data analysis techniques to extract insights and inform decision-making.
  • Arbitrate discrepancies effectively, ensuring consistent data quality.

Linguistic and NLP Tasks:

  • Apply basic knowledge of natural language processing and linguistics to data processing tasks.
  • Ensure linguistic accuracy in all processed and annotated data.

REQUIREMENTS

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

Experience:

  • Ability to work in a fast-paced, collaborative environment.
  • Excellent communication skills

Skills & Knowledge:

  • Familiarity with command-line tools and interfaces.
  • Strong analytical skills with the ability to identify patterns and anomalies.

Additional Information:

This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.

Additional Job Details:

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