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Exploratory Data Analysis Jobs (NOW HIRING)

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

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 ...

Sarian, Inc.

Data Analyst

Pittsburgh, PA · On-site

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:

Software Technology Inc

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 ...

Samprasoft

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 ...

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

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 ...

Julius 2 Grow

Conduct in-depth exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within complex healthcare datasets. * Translate analytical findings into clear, actionable insights ...

GainAm

Entry Level Data Analyst job

Hicksville, NY · On-site

$70K/yr

... 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 ...

Cayuse Holdings, LLC

$28 - $30/hr

Perform exploratory data analysis using notebooks like Azure Machine Learning Notebooks or Azure Databricks to derive actionable insights. * Data Quality Assessments: Identify data anomalies ...

Underscore Marketing

Data Analyst

Conduct thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within complex healthcare datasets. * Interpret and translate analytical findings into clear ...

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How much do exploratory data analysis jobs pay per year?

As of Jul 8, 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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills in data analysis, programming, and tools like Excel, SQL, and Python. Many professionals transition into data analysis later in their careers by gaining relevant certifications and experience, making age less relevant than skills and adaptability.

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 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 field is the highest paid data analyst?

Data analysts working in finance, technology, and healthcare tend to have the highest salaries, especially those with expertise in machine learning, statistical analysis, and advanced tools like SQL, Python, or R. Senior roles, certifications, and experience in these industries often lead to higher compensation.

What is an exploratory data analyst?

An exploratory data analyst is a professional who examines and summarizes data sets to identify patterns, trends, and relationships. They use statistical tools and programming languages like Python or R to visualize data and support decision-making processes.

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.

Will AI replace data analyst?

AI tools can automate routine data analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and understanding context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
More about Exploratory Data Analysis jobs
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:
What job categories do people searching Exploratory Data Analysis jobs look for? The top searched job categories for Exploratory Data Analysis jobs are:
Exploratory Data Analysis jobs near you
Infographic showing various Exploratory Data Analysis job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% 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

Re-posted 11 days 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

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