1

Exploratory Data Analysis Jobs (NOW HIRING)

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. * Integrate data from multiple sources and develop processes to consolidate ...

Showing results 41-60

Exploratory Data Analysis information

See salary details

$34K

$82.6K

$136K

How much do exploratory data analysis jobs pay per year?

As of Sep 7, 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 exploratory data analysis?

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 does someone in exploratory data analysis do?

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 for exploratory data analysis?

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 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.
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:

Infographic showing various Exploratory Data Analysis job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Scientist

PB consulting

Overland, MO • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business teams to solve complex problems and deliver measurable business value.

Primary Responsibilities
  • Analyze large and complex structured and unstructured datasets from multiple internal and external sources to identify trends, patterns, correlations, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems.

  • Apply advanced statistical, mathematical, and analytical techniques to model data and support data-driven decision-making.

  • Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning.

  • Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis.

  • Design and define data structures and storage approaches for unstructured and diverse datasets, including how data is consumed, integrated, and managed.

  • Develop analytical models and algorithms to understand relationships and correlations across disparate datasets.

  • Identify data quality issues and provide guidance on data transformation, cleansing, and preparation for analytical use.

  • Generate reports, dashboards, datasets, and other analytical resources to communicate insights to business and technical stakeholders.

  • Translate complex business requirements and technical designs into data science and AI solutions aligned with organizational goals.

  • Collaborate closely with Data Analysts, Data Engineers, Business Stakeholders, and other technical teams to understand requirements and deliver effective solutions.

  • Review data pipelines and provide recommendations for data quality, performance, scalability, and optimization.

  • Develop reusable analytical processes, reporting solutions, and data products to support ongoing business needs.

  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

  • Provide guidance and coaching on data preparation, analytical techniques, and best practices when needed.

Required Qualifications & Experience
  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related field.

  • Strong experience working with large, complex, structured, and unstructured datasets.

  • Strong knowledge of statistics, mathematics, data analysis, and predictive modeling.

  • Hands-on experience with machine learning and AI techniques.

  • Strong proficiency in SQL and experience working with databases or data warehouses.

  • Experience with Python, R, or similar programming languages for data analysis and modeling.

  • Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

  • Experience integrating and analyzing data from multiple sources.

  • Strong understanding of data pipelines, data structures, and data engineering concepts.

  • Experience developing analytical models and translating business requirements into technical data science solutions.

  • Strong problem-solving and analytical skills, with the ability to investigate complex data relationships and identify meaningful insights.

  • Excellent communication skills with the ability to present complex analytical findings to both technical and non-technical audiences.

  • Experience collaborating with cross-functional teams, including Data Engineering, Data Analytics, Product, and Business teams.