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Training Data Analyst Entry Level Jobs (NOW HIRING)

Cortina Solutions

M&S Analyst (Entry-Level)

Panama City, FL · On-site

$85K - $116K/yr

Cortina Solutions is seeking an entry-level Modeling and Simulation (M&S) Analyst to support the ... data collection, and manage simulation scenario preparation. At Cortina, we believe in training and ...

Managed Staffing

Data analyst I

Austin, TX · On-site

$25 - $28/hr

1-3 years' experience in data analysis Strong Microsoft Excel skills (must-have) Experience with Power BI Entry-level knowledge of C++ and CSS (nice-to-have, not core) Engineering Technician I Active ...

Winaxis

Supply chain analyst

Waltham, MA · On-site

Supply Chain Analyst (Entry Level) Visa: OPT EAD, CPT, H4-EAD, and other EAD holders encouraged to ... Collect, validate, and interpret supply chain data to generate insights and recommendations.

PotomacWave Consulting

Data Analyst

Washington, DC · On-site

$85K - $115K/yr

Utilize technologies including Python, R, SQL, and Tableau to analyze data and identify trends. * Assist in the evaluation of training opportunities and provide basic recommendations. * Support the ...

Winaxis

Data Analyst

Boston, MA · On-site

Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor's degree from an ...

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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:
What job categories do people searching Training Data Analyst Entry Level jobs look for? The top searched job categories for Training Data Analyst Entry Level jobs are:
Training Data Analyst Entry Level jobs near you
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.
NewForce Entry Level Data Analyst (2026)

NewForce Entry Level Data Analyst (2026)

Generation West Virginia

Charleston, WV • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

About Inspira Analytics

Inspira Analytics is a data consulting firm based in Charleston, WV, helping small to mid-sized businesses unlock the power of their data. From basic reporting to advanced visualization and forecasting, we make complex information simple and strategic. We serve a wide range of industries including healthcare, logistics, and retail-providing clean, clear, and customized analytics that meet our clients where they are. We are also passionate about workforce development in Appalachia. Our team includes local talent trained in modern analytics tools and techniques, and we invest heavily in early-career professionals through mentorship and hands-on learning.

Mission: To empower organizations with accessible, accurate, and actionable data insights that drive smarter decisions and sustainable growth. 

Vision: To be the most trusted partner in transforming raw data into meaningful intelligence-one insight at a time.

What we do:

  • Custom dashboards and reporting (Tableau, Power BI)
  • SQL and Python data pipelines
  • Data cleaning and integration
  • Data analytics training and upskilling
Job Summary

We are seeking a highly motivated and detail-oriented Junior Data Analyst to join our data-driven team. As a Junior Data Analyst, you will play a crucial role in supporting data-related activities within our organization. You will work closely with senior data analysts and other team members to collect, analyze, and present data insights that inform decision-making and drive business growth. This is an excellent opportunity for a recent graduate or entry-level professional to gain valuable experience in the field of data analysis.

Junior Data Analyst Duties and Responsibilities
  • Data Collection and Cleaning: Collect and compile data from various sources, ensuring data accuracy and completeness. Perform data cleaning and transformation as necessary to prepare it for analysis.
  • Data Analysis: Assist in conducting data analysis using statistical methods, data visualization tools, and data analysis software. Summarize findings in clear and concise reports.
  • Data Visualization: Create visually appealing and informative charts, graphs, and dashboards to present data insights to stakeholders. Use tools such as Tableau, Power BI, or Excel for visualization.
  • Report Generation: Prepare regular and ad-hoc reports to communicate key metrics and findings to the team and management. Ensure reports are accurate and delivered on time.
  • Data Quality Assurance: Help maintain data quality standards by identifying and resolving data discrepancies or inconsistencies. Collaborate with other team members to establish data quality protocols.
  • Collaboration: Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand data requirements and deliver actionable insights.
  • Research and Learning: Stay up-to-date with industry trends and best practices in data analysis. Continuously expand your knowledge and skills in data analytics techniques and tools.

Requirements

  • Strong analytical skills and a passion for working with data.
  • Proficiency in data analysis tools and programming languages such as Excel, SQL, Python, or R.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Excellent communication skills, with the ability to translate complex data into understandable insights.
  • Detail-oriented and capable of maintaining data accuracy and integrity.
  • Strong problem-solving skills and the ability to think critically.
  • Highly organized and able to manage multiple tasks and deadlines effectively.
  • Team player with a collaborative mindset and the ability to work well in a diverse team environment.
  • Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis.

Benefits

  • 401(k)
  • Dental insurance
  • Disability insurance
  • Health insurance
  • Paid time off
  • Vision insurance
  • Bonus opportunities

Apply