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Exploratory Data Analysis Jobs (NOW HIRING)

Using Tableau or Power BI to perform exploratory data analysis and building interactive dashboards and reports by combining multiple data sources via joins, blends, and merges. Creating nested LOD ...

Using Tableau or Power BI to perform exploratory data analysis and building interactive dashboards and reports by combining multiple data sources via joins, blends, and merges. Creating nested LOD ...

Perform data preprocessing, feature engineering, and exploratory data analysis. * Work collaboratively with data engineers and business stakeholders to understand requirements and translate them into ...

Data Analysis and Visualization: Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns. Utilize data visualization techniques to communicate insights ...

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 ...

New

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 ...

New

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 ...

Perform data preprocessing, feature engineering, and exploratory data analysis. * Work collaboratively with data engineers and business stakeholders to understand requirements and translate them into ...

Data Analyst II

Lowell, AR · On-site

$70K - $130K/yr

Conduct exploratory data analysis using SQL, Python, and statistical techniques to uncover trends, outliers, and opportunities for improvement. * Collaborate with cross-functional teams to understand ...

Data Analyst II

Bentonville, AR · On-site

$70K - $130K/yr

Conduct exploratory data analysis using SQL, Python, and statistical techniques to uncover trends, outliers, and opportunities for improvement. * Collaborate with cross-functional teams to understand ...

Data Analyst II

Bentonville, AR · On-site

$70K - $130K/yr

Conduct exploratory data analysis using SQL, Python, and statistical techniques to uncover trends, outliers, and opportunities for improvement. * Collaborate with cross-functional teams to understand ...

Data Analyst II

Goshen, AR · On-site

$70K - $130K/yr

Conduct exploratory data analysis using SQL, Python, and statistical techniques to uncover trends, outliers, and opportunities for improvement. * Collaborate with cross-functional teams to understand ...

Data Analyst II

Springdale, AR · On-site

$70K - $130K/yr

Conduct exploratory data analysis using SQL, Python, and statistical techniques to uncover trends, outliers, and opportunities for improvement. * Collaborate with cross-functional teams to understand ...

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Exploratory Data Analysis information

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$34K

$82.6K

$136K

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:
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 Scientist

Full-time

Posted 16 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

158th of 207 rated it services


Job description

Job Summary:
Tata Consultancy Services is seeking a Senior Data Scientist with strong expertise in data analysis and machine learning. The role involves performing exploratory data analysis, designing machine learning models, and engaging with stakeholders to deliver data-driven insights.
Responsibilities:
• 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
• 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
• 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
Qualifications:
Required:
• BACHELOR OF COMPUTER SCIENCE
• 8 - 10 Years experience
• 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
• 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
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US