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Trainee Exploratory Data Analysis Jobs (NOW HIRING)

Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights * Analyze data structures, relationships, and lineage to ensure data integrity * Ensure data is usable, consistent ...

Exploratory Data Analysis (EDA): Engaging in exploratory data analysis to gain a deeper understanding of the data and identify potential areas for further investigation. * Data Visualization:

Perform deep-dive Exploratory Data Analysis (EDA) using Jupyter Notebooks to diagnose business trends, test complex hypotheses, and discover hidden relationships in our data. * Modern Interactive ...

Market What You'll Do: • Acquire, clean, and process messy, real-world data from various sources to prepare it for analysis and modeling. • Perform rigorous Exploratory Data Analysis (EDA) to ...

Conduct exploratory data analysis. Basic Qualifications. * Bachelor's degree from an accredited university in data science, mathematics, computer science, or an equivalent engineering or science ...

Conduct exploratory data analysis. Basic Qualifications. * Bachelor's degree from an accredited university in data science, mathematics, computer science, or an equivalent engineering or science ...

Senior Data Analyst

Bentonville, AR · On-site

$94K - $155K/yr

Exploratory Data Analysis: Collects/tabulates data and evaluates results to determine accuracy, validity, and applicability; supports identification and application of statistical techniques; applies ...

... Exploratory Data Analysis and Data Cleansing Ability to Write SQL Scripts for Data Warehousing Understanding and knowledge of Ad Hoc Business Analysis Day to day work involves proficiency in using ...

Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection ...

Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection ...

Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection ...

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Trainee Exploratory Data Analysis information

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$22.5K

$88.7K

$144K

How much do trainee exploratory data analysis jobs pay per year?

As of Jul 28, 2026, the average yearly pay for trainee exploratory data analysis in the United States is $88,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $108,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Trainee Exploratory Data Analysis jobs? Cities with the most Trainee Exploratory Data Analysis job openings:
What are the most commonly searched types of Exploratory Data Analysis jobs? The most popular types of Exploratory Data Analysis jobs are:
What states have the most Trainee Exploratory Data Analysis jobs? States with the most job openings for Trainee Exploratory Data Analysis jobs include:
Infographic showing various Trainee Exploratory Data Analysis job openings in the United States as of July 2026, with employment types broken down into 79% Full Time, 12% Part Time, and 9% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $88,664 per year, or $42.6 per hour.

Data Analyst

Stellar IT Group

Saint Louis, MO • On-site

Contractor

Posted yesterday


Job description

Overview:
Job Title: Data Analyst
Job Location: Remote
Interview: Virtual
Job Duration: 6 Months Contract
Overview:
We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable, and structured for downstream analytics and reporting.
Note: This is not a Data Engineer role. Candidates must have a strong analytics and data validation background.
Key Responsibilities
  • Perform data validation and quality checks using SQL and Python
  • Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights
  • Analyze data structures, relationships, and lineage to ensure data integrity
  • Ensure data is usable, consistent, and reliable for analytics, BI, and business teams
  • Support data manipulation, reporting, and downstream data consumption
  • Collaborate with stakeholders to understand data requirements and usage

Required Qualifications
  • Bachelor's degree (Master's or PhD preferred)
  • 5+ years of relevant Data Analyst experience
  • Strong hands-on experience with SQL and Python (data validation, not just querying)
  • Deep understanding of data structures and data lifecycle, including:
    • Data shape, relationships, and storage
    • Data quality, consistency, and lineage
    • Ensuring data reliability for analytics and reporting
  • Experience with exploratory data analysis (EDA)
  • Experience with data manipulation and reporting

Preferred Qualifications
  • Experience with BI tools (Power BI preferred)
  • Healthcare domain experience (payer/provider, clinical, insurance, or operational data)
  • Experience with Databricks and/or PySpark

Skills:
Data Analyst,pYTHON