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Business Data Analyst (Entry Level)

Cape Coral, FL · On-site

$50K - $65K/yr

Business Data Analyst (Entry Level) Cape Coral, FL | Full-Time | On-Site About the Role We are seeking a motivated and detail-oriented Entry Level Business Data Analyst to join our growing team in ...

HTP Solutions

Financial Data Analyst

Oakbrook Terrace, IL · On-site +1

$58K - $65K/yr

Position Overview We are seeking a Financial Data Analyst (Entry-Level) to join our audit services ... Support coordination of customer training sessions and communications * Assist with uploading ...

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

As of Jun 3, 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.

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Training Data Analyst Entry Level jobs near you

Data Analyst - Entry Level (Remote)

Jobcertify

El Paso, TX • Remote

Full-time

Posted 9 days ago

Job description

About the job Data Analyst - Entry Level (Remote)We are looking for the right people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry.Job Description & Responsibilities:Data Scientist under general supervision will perform data engineering, data modeling and model deployment.Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights.Leverage common open-source Machine Learning/Deep Learning packages for identifying data patterns and/or building predictive models.Conduct statistical analysis to determine trends and significant data relationships.Keep up to date with latest Machine Learning and Artificial Intelligence advancements.Work with data engineers to design and construct data pipelines for reproducible analysis.Leverage cloud computing technologies like Microsoft Azure and distributed computing technologies like Apache Spark.Present results of analyses, including design of graphs, charts, tables, and other data visualizations.Qualifications:Industry experience in predictive modeling, data science and analysis.Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure.Experience handling terabyte size datasets, diving into data to discover hidden patterns and using data visualization tools.Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects.Completion of an undergraduate degree in STEM.

Master's degree in STEM is preferred.Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.J-18808-Ljbffr

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