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Exploratory Data Analysis Eda Jobs (NOW HIRING)

AllRight Jobs Inc

Python Developer ARJ/118

Houston, TX · On-site

$90 - $95/hr

... Perform exploratory data analysis (EDA) and interpret results for key decision-makers. - Provide technical guidance on simulation methods, statistical modeling, and analytical best practices ...

Campbell's

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and key demand drivers Insight Generation * Translate data into actionable insights to understand the impact of promotions ...

Campbell Soup Company

Data Scientist

Camden, NJ · On-site

$109K - $150K/yr

Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and key demand drivers Insight Generation * Translate data into actionable insights to understand the impact of promotions ...

Pepperidge Farm, Incorporated

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and key demand drivers Insight Generation * Translate data into actionable insights to understand the impact of promotions ...

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 ...

MedReview

Data Scientist

Austin, TX · On-site

Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies. * Communication & Visualization: Translate technical findings into "data stories" using tools like ...

MedReview

Data Scientist

Austin, TX · On-site

Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies. * Communication & Visualization: Translate technical findings into "data stories" using tools like ...

Cintel Inc

Data Analyst SME

Huntsville, AL · On-site

Experience conducting exploratory data analysis (EDA). * Experience developing dashboards and reports using PowerBI. * Familiarity with GitLab and version control processes. * Experience creating and ...

Cintel Inc.

Data Analyst SME

Huntsville, AL · On-site

Experience conducting exploratory data analysis (EDA). * Experience developing dashboards and reports using PowerBI. * Familiarity with GitLab and version control processes. * Experience creating and ...

Cintel, Inc.

Data Analyst SME

Huntsville, AL

Experience conducting exploratory data analysis (EDA). * Experience developing dashboards and reports using PowerBI. * Familiarity with GitLab and version control processes. * Experience creating and ...

JConnect Infotech

AWS ML Engineer

Seattle, WA

Data Scientist Data Analysis and Exploration: Analyze large, complex datasets to extract meaningful insights and identify trends. Perform exploratory data analysis (EDA) using AWS data processing ...

Maxonic, Inc.

Data Scientist

Santa Clara, CA · Hybrid

Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns. Utilize data visualization techniques to communicate insights effectively. * Data Preparation and ...

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Exploratory Data Analysis Eda information

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$34K

$82.6K

$136K

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

As of Jun 16, 2026, the average yearly pay for exploratory data analysis eda 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.

Will AI replace data analysts?

AI tools can automate routine data analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts who develop skills in programming, statistical methods, and data visualization tools are better positioned to adapt to technological changes and leverage AI as a complement to their work.

What is the salary of exploratory data analyst?

The average salary for an exploratory data analyst typically ranges from $60,000 to $85,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with skills in tools like Python, R, or SQL can earn higher salaries.

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

To excel in Exploratory Data Analysis (EDA), you need a solid foundation in statistics, data visualization, and data wrangling, typically supported by a degree in data science, statistics, or a related field. Proficiency with technical tools such as Python (pandas, matplotlib, seaborn), R, and data visualization platforms is essential. Strong analytical thinking, curiosity, and effective communication skills help interpret data patterns and share insights with stakeholders. These skills are crucial for uncovering trends, informing decision-making, and ensuring data-driven project success.

What are some common challenges faced by professionals working in Exploratory Data Analysis (EDA) roles?

Professionals in Exploratory Data Analysis (EDA) often encounter challenges such as dealing with incomplete or messy data, selecting appropriate visualization techniques, and identifying meaningful patterns without introducing bias. EDA specialists must also balance the need for in-depth analysis with tight deadlines, especially when collaborating with data scientists and business stakeholders who rely on their insights to guide modeling decisions. Developing strong communication skills is essential, as EDA findings must be clearly presented to both technical and non-technical team members.

Do data analysts do EDA?

Yes, data analysts commonly perform exploratory data analysis (EDA) as a key step in understanding data, identifying patterns, and preparing datasets for modeling. EDA involves using tools like Excel, SQL, or Python libraries such as pandas and matplotlib to visualize and summarize data before further analysis or reporting.

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 successfully transition into data analysis later in their careers by gaining relevant certifications and experience.

What is the difference between Exploratory Data Analysis Eda vs Data Analyst?

AspectExploratory Data Analysis EdaData Analyst
Primary FocusAnalyzing data to uncover patterns and insightsInterpreting data to support business decisions
Skills RequiredStatistical analysis, data visualization, programming (Python/R)Data manipulation, reporting, communication skills
Tools UsedPython, R, SQL, TableauExcel, SQL, BI tools, visualization software
Work EnvironmentData science teams, research projectsBusiness units, reporting teams

Exploratory Data Analysis (Eda) focuses on understanding data through statistical and visual methods, often performed by data scientists. Data Analysts interpret data to generate reports and support decision-making. While both roles work with data, Eda is more technical and exploratory, whereas Data Analysts focus on delivering actionable insights to stakeholders.

What is exploratory data analysis (EDA)?

Exploratory Data Analysis (EDA) is a process in data science that involves summarizing, visualizing, and understanding datasets before applying formal modeling techniques. EDA helps identify patterns, trends, anomalies, and relationships within the data, making it easier to formulate hypotheses and select appropriate statistical tools. Common EDA techniques include data visualization (such as histograms, scatter plots, and box plots), descriptive statistics, and handling missing values or outliers. This step is crucial for ensuring data quality and guiding further analysis.
Infographic showing various Exploratory Data Analysis Eda job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 75% Full Time, and 23% Part Time. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Scientist

Tata Consultancy Service Limited

Auburn Hills, MI • On-site

$120K - $125K/yr

Full-time

Posted 21 days ago

Job description

Data Scientist
Must Have Technical/Functional Skills
• Strong hands-on experience in Exploratory Data Analysis (EDA) and Root Cause Analysis (RCA)
• Expertise in Machine Learning techniques: classification, regression, clustering, and time-series forecasting
• Proficiency in Python and SQL
• Experience with ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch
• Solid foundation in statistics, probability, hypothesis testing, and experimental design
• Experience working with large-scale enterprise datasets
Roles & Responsibilities
Data Science & Analytics
• Perform EDA to identify trends, patterns, anomalies, and key business drivers in complex datasets
• Conduct RCA to diagnose operational, business, and performance issues using data-driven techniques
• Design, build, and deploy machine learning models for predictive and prescriptive analytics
• Apply statistical modeling, causal analysis, and hypothesis testing to validate insights and outcomes
• Execute feature engineering, model evaluation, and performance tuning to ensure robust solutions
• Design and analyze experiments and A/B tests to measure business impact
• Use Palantir Foundry to integrate, curate, and model structured and unstructured enterprise data
• Implement Retrieval-Augmented Generation (RAG) patterns where applicable
• Troubleshoot data quality, model behavior, and workflow issues
Stakeholder & Delivery Engagement
• Work closely with stakeholders in customer-facing and consulting environments
• Clearly articulate analytical logic, assumptions, and limitations to business and technical audiences
• Support adoption and value realization of analytics and AI solutions
Generic Managerial Skills, If any
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management capabilities
• Ability to work independently and collaboratively in cross-functional teams
• Structured thinking and outcome-oriented mindset
Education
Bachelors
Salary Range: $120000 - $125000 a year
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