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Exploratory Data Analysis Jobs (NOW HIRING)

W. R. Berkley

Data Scientist

Houston, TX · On-site

The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are ...

Samprasoft

Data Analyst

Framingham, MA · On-site

... exploratory data analysis (EDA), and inferential statistics. * Collaboration with our business partners, develop report prioritization and performance tracking. This includes defining report ...

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 ...

Samprasoft

Data Analyst - pre system

Bentonville, AR · On-site

Exploratory Data Analysis: * Collects and tabulates data and evaluates results to determine accuracy, validity, and applicability. Supports the identification and application of statistical ...

New

Berkley

Data Scientist

Houston, TX · On-site

The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are ...

Berkley

Data Scientist

Houston, TX

The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are ...

Berkley

Data Scientist

Houston, TX

The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are ...

Rootshell Inc

Data Analyst I

Tampa, FL · On-site

The candidate will be exploring and deriving solutions from high volumes of data as well as leveraging cross-functional collaboration when a solution cannot be reached through back-office analysis ...

Berkley

Data Scientist

Houston, TX · On-site

The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are ...

Zolve

Be Seen First

Data Science and Analytics Intern

Roseland, NJ · Remote

$15.92 - $17/hr

Conduct exploratory data analysis to identify trends, customer behaviors, and market opportunities within the fintech sector. * Assist in creating data visualizations and dashboards to effectively ...

US Hunger

Fall 2026 Data Analytics Intern

Longwood, FL · On-site

Food Insecurity and Partner Data Analysis * Collaborate with the Client Experience Manager and Data ... Conduct exploratory data research to identify trends and interpret the provided datasets for ...

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Exploratory Data Analysis information

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$34K

$82.6K

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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.
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 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 Scientist

Data Scientist

W. R. Berkley

Houston, TX • On-site

Other

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

W.R. Berkley rating

8.2

Company rating: 8.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

124th of 258 rated insurance

Job description

Company Details
Berkley Oil & Gas, a W. R. Berkley Company, is an insurance underwriting manager offering specialized property and casualty products and risk services to customers in the energy sector. Our customers value the expertise we bring and appreciate working with professionals who understand their business. We are committed to delivering innovative products and exceptional service to our customers, agents, and brokers. Berkley Oil & Gas remains dedicated to staying informed about the evolving dynamics of the industry, supporting efforts to minimize and mitigate risks in the oil patch, and continually improving our products and services to meet customer needs.
W.R. Berkley Corporation, founded in 1967, is one of the nation's premier commerciallines ofproperty and casualty insurance providers. Each of the operating units in the Berkley group participates in a niche market requiring specialized knowledge about a territory or product. Our competitive advantage lies in our long-term strategy of decentralized operations, allowing each of our units to identify and respond quickly and effectively.
Company URL: https://berkleyoil-gas.com/
The company is an equal opportunity employer.
Responsibilities
The Data Scientist designs, builds, and delivers analytical solutions that support underwriting, pricing, and operational decision-making. The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are accurate, scalable, and aligned with business goals.
  • Business Understanding & Solution Design
  • Partner with business stakeholders to define analytical needs and prototype solutions
  • Evaluate the business value of internal and third-party data sources using standardized assessment criteria.
  • Build foundational understanding of relevant insurance and energy domain concepts.
  • Data Discovery, Exploration & Engineering
  • Conduct Exploratory Data Analysis to assess data quality, structure, coverage, and predictive potential.
  • Build and refine data pipelines using SQL and Python.
  • Develop entity-matching methods, including geospatial and temporal techniques.
  • Engineer and maintain features that support analytical and predictive modeling.
  • Model Development & Experimentation
  • Build and evaluate predictive models, comparing performance against benchmarks.
  • Quantify expected business value, costs, and ROI for proposed solutions.
  • Design repeatable workflows for modeling, experimentation, and evaluation.
  • Deployment, Integration & Monitoring
  • Collaborate with engineering teams to integrate analytical models into production systems.
  • Implement monitoring to ensure data and model quality over time.
  • Identify opportunities for iteration and performance improvement based on results and business feedback.
  • Collaboration, Communication & Project Delivery
  • Work with cross-functional teams to clarify requirements and acceptance criteria.
  • Prepare analytical datasets, dashboards, and reports that support decision-making.
  • Communicate insights clearly to technical and non-technical stakeholders.
  • Quality, Documentation & Automation
  • Conduct quality assurance checks on datasets, metrics, and models.
  • Maintain documentation for data sources, features, models, and workflows.
  • Automate repetitive or manual tasks using scripting and AI tooling.

Qualifications
  • Experience & Professional Skills
  • 2-5 years of experience in data science or a related analytical field, including exposure to model deployment and monitoring.
  • Strong sense of ownership, urgency, and self-motivation;
  • Excellent written and verbal communication skills; able to convey complex concepts clearly.
  • Effective collaborator with experience in cross-functional, team-oriented environments.
  • Prior quantitative research experience through academic work, personal projects, or previous roles.
  • Technical Skills
  • Proficiency in Python (pandas, NumPy, scikit-learn) and SQL; solid understanding of databases and data modeling.
  • Experience conducting exploratory data analysis, including profiling, handling missing data, and outlier detection.
  • Feature engineering experience, including geospatial, temporal, and derived features.
  • Familiarity with version control (e.g., GitHub) and cloud analytics platforms (e.g., Databricks).
  • Understanding of Agile or SDLC practices.
  • Domain Knowledge
  • Familiarity with Oil & Gas or Property & Casualty insurance concepts is a plus

Education Requirement
Master's degree in data science, analytics, statistics, computer science, engineering, or related field.
Additional Company Details
We do not accept any unsolicited resumes from external recruiting agencies or firms.
The company offers a competitive compensation plan and robust benefits package for full time regular employees.
The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.
Sponsorship Details
Sponsorship not Offered for this Role

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