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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 ...

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 ...

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 ...

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:

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:

Responsibilities : • Perform exploratory data analysis to identify trends, anomalies, and actionable insights. • Develop and maintain dashboards, reports, and visualizations using PowerBI. • ...

... exploratory data analysis, to address business questions. • Develop compelling narratives from data insights, articulating business implications, opportunities, and next steps. • Collaborate with ...

Data Architect

Clark, NJ · On-site

$66 - $84.75/hr

... exploratory data analysis Job Responsibilities and Primary Deliverables: Data modeling, physical source data models, data profiling reports, data quality control, data definitions, data taxonomy ...

Data Architect

Clark, NJ · On-site

$66 - $84.75/hr

... exploratory data analysis Job Responsibilities: Data modeling, physical source data models, data profiling reports, data quality control, data definitions, data taxonomy, data metrics, meta-data ...

Strong experience in exploratory data analysis and statistical modeling. * Hands-on with data visualization tools like Tableau and Power BI. * Experienced in cloud platforms such as AWS, Azure, or ...

Sr Data Analyst

Chicago, IL · Hybrid

$88.70K - $111.90K/yr

... exploratory data analysis, and data visualization Min 5+ years of experience as Data Analyst, with PowerBI Significant exposure to SQL and relational databases

Additionally, performing data extraction, manipulation and descriptive/ exploratory data analysis This role is a supportive role to the individual accountable for turning data into actionable ...

Sr Data Analyst

Chicago, IL · Hybrid

$88.70K - $111.90K/yr

... exploratory data analysis, and data visualization - Min 5+ years of experience as Data Analyst, with PowerBI - Significant exposure to SQL and relational databases

Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights that drive business decisions. * Use ERWin for data modeling and database design to ensure data integrity and ...

... and analysis for ad hoc projects will include: exploratory data analysis, and data visualization Develop insightful dashboards that management can use to produce informed business decisions ...

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Exploratory Data Analysis information

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How much do exploratory data analysis jobs pay per year?

As of May 28, 2026, the average yearly pay for exploratory data analysis in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is an Exploratory Data Analysis job?

An Exploratory Data Analysis (EDA) job involves analyzing and summarizing datasets to uncover patterns, relationships, and anomalies before applying formal modeling techniques. Professionals in this role use statistical methods and visualization tools to interpret data insights, assess data quality, and guide decision-making. EDA helps organizations understand their data better, ensuring that downstream analysis and machine learning models are built on a strong foundation.

What are the key skills and qualifications needed to thrive in the Exploratory Data Analysis position, and why are they important?

To thrive in Exploratory Data Analysis, you need a strong background in statistics, data visualization, and data manipulation with a relevant degree such as in statistics, mathematics, or computer science. Proficiency with tools like Python (pandas, matplotlib, seaborn), R, SQL, and data visualization platforms such as Tableau is highly valued, and certifications in data analytics can be beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate insights clearly are essential soft skills for this role. These abilities ensure that analysts can interpret complex datasets, uncover valuable trends, and present findings to inform business decisions.

What are some typical day-to-day responsibilities for someone in Exploratory Data Analysis?

Professionals in Exploratory Data Analysis spend their days gathering, cleaning, and examining data sets to identify patterns, trends, and potential outliers. They use statistical and visualization tools to create reports and dashboards that help stakeholders understand the data’s implications. Collaboration with data engineers, business analysts, and management is common to ensure that the analyses address real business questions. Additionally, they often refine data collection processes and suggest improvements based on their findings, contributing to more efficient and insightful data workflows.
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 Exploratory Data Analysis jobs? States with the most job openings for Exploratory Data Analysis jobs include:
Infographic showing various Exploratory Data Analysis job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 73% Physical, 6% Hybrid, and 21% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Stellar IT Group

Saint Louis, MO • On-site

Contractor

Posted 14 hours ago


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