2

Training Data Analyst Entry Level Jobs (NOW HIRING)

Data Analyst (Entry Level) Codersdata have been the undisputed training and placements providers, gracefully serving the training requirements of individuals and corporate for more than years now. We ...

Training Data Analyst Job Overview: The Tennessee Corrections Institute is seeking a Training Data Analyst to play a crucial role in ensuring the training compliance of correctional officers across ...

Training Data Analyst Job Overview: The Tennessee Corrections Institute is seeking a Training Data Analyst to play a crucial role in ensuring the training compliance of correctional officers across ...

Training Data Analyst

Jackson, TN · On-site

$25.92/hr

Training Data Analyst (aka ASA of Compliance) Department: Tennessee Corrections Institute (TCI), Training Division Job Overview: Join our dynamic team as an Administrative Services Assistant of ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who ...

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply ...

Utilize the TCI Learning Management System (LMS) to mine and analyze data, ensuring all officers meet state-required training standards. * Conduct audits of customer-submitted information for ...

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

next page

Showing results 1-20

Training Data Analyst Entry Level information

See salary details

$13

$32

$61

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

As of Jun 1, 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 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.

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 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 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.

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:

Other

Posted 5 days ago


Job description

About the job Data Analyst (Entry Level)
NOTE:
Only US citizens will apply.
Applications from other countries are not acceptable.
Job Position:
Data Analyst (Entry Level Position) - Full-Time Position.
Position Overview:

  • The ideal candidate is a team player who will be responsible for working with company data in various business areas.
Specific Responsibilities include:
  • Reporting metrics.
  • Analyzing methodologies.
  • Suggesting Operation Improvements, and building proposal evaluations in a cross-functional environment.
Responsibilities:
  • Track and report data.
  • Build cross-functional partnerships, internally and externally.
  • Manage budgets.
  • Maintain a competitive market knowledge.
Qualifications:
  • Bachelor's degree or equivalent experience.
  • Fluency in Microsoft Office suite (Outlook, Excel, Word, PowerPoint, etc.).
  • Strong written, verbal, and collaboration skills.