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Training Data Analyst Entry Level Jobs (NOW HIRING)

The role offers hands-on exposure to reporting tools, data review, and financial research while ... for an entry-level opportunity. • Foundational knowledge of financial analysis, data ...

New

Training Data Assistant

Albany, NY · On-site

$56K - $70K/yr

The Training Data Assistant is responsible for data entry, researching and resolving data ... Prior experience in data analytics and data discrepancies preferred. Some positions may require ...

Training Data Assistant

Albany, NY · On-site

$56K - $70K/yr

The Training Data Assistant is responsible for data entry, researching and resolving data ... Prior experience in data analytics and data discrepancies preferred. Some positions may require ...

Training Data Assistant

Albany, NY · On-site

$18.50 - $23.25/hr

The Training Data Assistant is responsible for data entry, researching and resolving data ... Prior experience in data analytics and data discrepancies preferred. Some positions may require ...

As the Data Analyst, you'll dig into complex geospatial datasets, surface patterns and compliance ... Specialized Training: 0.25 pts per relevant course * Professional Impact (publications ...

As the Data Analyst, you'll dig into complex geospatial datasets, surface patterns and compliance ... Specialized Training: 0.25 pts per relevant course * Professional Impact (publications ...

We are looking for an entry-level Financial Analyst to join our team in California on a contract ... data into clear insights for leadership. The position will support planning activities, cost ...

Tallahassee, FL 32399 Position Overview:- We are seeking an Entry-Level Web Applications Programmer to support business modernization, data analysis, reporting, and application support initiatives.

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Training Data Analyst Entry Level information

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How much do training data analyst entry level jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for training data analyst entry level in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Training Data Analyst Entry Level vs Data Analyst?

AspectTraining Data Analyst Entry LevelData Analyst
Required CredentialsTypically a bachelor's degree in data science, statistics, or related fieldUsually a bachelor's degree; some roles prefer additional certifications
Work EnvironmentEntry-level, often in tech companies, research firms, or data-driven organizationsVaries from entry-level to senior roles across industries like finance, healthcare, and marketing
Employer & Industry UsageCommon in organizations focusing on training models and data preparationWidespread across industries for data analysis and decision-making support

Training Data Analyst Entry Level roles focus on preparing and cleaning data for machine learning models, often requiring foundational data skills. Data Analysts perform broader data interpretation, reporting, and insights generation. While both roles require similar educational backgrounds, Data Analysts typically have more experience and may handle more complex analysis tasks.

What does a Training Data Analyst Entry Level do?

A Training Data Analyst Entry Level is responsible for collecting, cleaning, and organizing data that is used to train machine learning models. They assist in preparing large datasets, ensuring data quality, and sometimes labeling data so that the models learn accurately. Entry-level analysts often work under the supervision of data scientists or senior analysts, using tools like Excel, Python, or specialized data labeling platforms. This role is crucial in ensuring that AI and machine learning systems are built on reliable and accurate information.

What are some typical projects that an entry-level Training Data Analyst might work on?

As an entry-level Training Data Analyst, you will often assist with collecting, cleaning, and organizing datasets that are used to train machine learning models. You might work on projects such as labeling data, identifying and correcting inconsistencies, and performing basic exploratory data analysis. Collaboration with data scientists and engineers is common, as your work helps ensure that models are trained on accurate and high-quality data. This role is a great opportunity to build foundational skills in data analysis and understand the end-to-end process of machine learning workflows.

What are the key skills and qualifications needed to thrive as an Entry-Level Training Data Analyst, and why are they important?

To thrive as an Entry-Level Training Data Analyst, you need a solid foundation in statistics, data analysis, and proficiency in spreadsheet tools, often supported by a bachelor's degree in a quantitative field. Familiarity with data visualization software (e.g., Tableau or Power BI), basic programming skills in Python or R, and knowledge of database systems like SQL are typically required. Strong attention to detail, analytical thinking, and effective communication skills help you interpret and present data insights clearly. These skills are crucial for ensuring accurate data analysis, supporting decision-making, and driving improvements in organizational processes.
More about Training Data Analyst Entry Level jobs
What cities are hiring for Training Data Analyst Entry Level jobs? Cities with the most Training Data Analyst Entry Level job openings:
Infographic showing various Training Data Analyst Entry Level job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, and 33% Temporary. Highlights an 100% In-person job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Data Analyst (Entry Level)

Data Analyst (Entry Level)

CodersData LLC

North Patchogue, NY • On-site

Full-time

Re-posted 20 hours ago


Job description

Company Description
Codersdata have been the undisputed training and placements providers, gracefully serving the training requirements of individuals and corporate for more than years now. We furnish innovative learning and development solutions sheathing diverse areas and industries customized to meet your needs. Our training services are purveyed in both one-on-one interaction as well as eLearning environments, with the assurance that the training objectives are procured no matter what.
We discern the fact that in our fast paced world, it is of paramount importance to keep up the fastidiousness with development in standards, regulations and technology. Individuals and businesses who are molded with proper training and support in their professional development are more likely to be driven with an advanced knowledge base leading to an increase in overall proficiency of the organization.
Job Description
  • Managing master data, including creation, updates, and deletion.
  • Managing users and user roles.
  • Provide quality assurance of imported data, working with quality assurance analyst if necessary.
  • Commissioning and decommissioning of data sets.
  • Processing confidential data and information according to guidelines.
  • Helping develop reports and analysis.
  • Managing and designing the reporting environment, including data sources, security, and metadata.
  • Supporting the data warehouse in identifying and revising reporting requirements.
  • Supporting initiatives for data integrity and normalization.
  • Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
  • Generating reports from single or multiple systems.
  • Troubleshooting the reporting database environment and reports.
  • Evaluating changes and updates to source production systems.
  • Training end users on new reports and dashboards.
  • Providing technical expertise on data storage structures, data mining, and data cleansing.

Qualifications
  • Work experience as a data analyst or in related field.
  • Ability to work with stakeholders to assess potential risks.
  • Ability to analyze existing tools and databases and provide software solution recommendations.
  • Ability to translate business requirements into non-technical, lay terms.
  • High-level experience in methodologies and processes for managing large scale databases.
  • Demonstrated experience in handling large data sets and relational databases.
  • Understanding of addressing and metadata standards.
  • High-level written and verbal communication skills.

Additional Information
All your information will be kept confidential according to EEO guidelines.