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 ...
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 ...
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 ...
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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 ...
... exploratory data analysis (EDA) and reports as needed.
... exploratory data analysis (EDA) and reports as needed.
Machine learning, and deep learning techniques, exploratory data analysis (EDA), data science Key Responsibilities: * Design and implement robust anomaly detection algorithms using statistical ...
Machine learning, and deep learning techniques, exploratory data analysis (EDA), data science Key Responsibilities: * Design and implement robust anomaly detection algorithms using statistical ...
Machine learning, and deep learning techniques, exploratory data analysis (EDA), data science Key Responsibilities: * Design and implement robust anomaly detection algorithms using statistical ...
Machine learning, and deep learning techniques, exploratory data analysis (EDA), data science Key Responsibilities: * Design and implement robust anomaly detection algorithms using statistical ...
Machine learning, and deep learning techniques, exploratory data analysis (EDA), data science Key Responsibilities: * Design and implement robust anomaly detection algorithms using statistical ...
Machine learning, and deep learning techniques, exploratory data analysis (EDA), data science Key Responsibilities: * Design and implement robust anomaly detection algorithms using statistical ...
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:
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:
Data Engineer
Pleasanton, CA · On-site
$127K - $152K/yr
... Exploratory Data Analysis (EDA) You have proven hands-on experience with cloud-based data warehousing / data lake platforms such as AWS S3, GitRepo, Lambda
Data Engineer
Pleasanton, CA · On-site
$127K - $152K/yr
... Exploratory Data Analysis (EDA) You have proven hands-on experience with cloud-based data warehousing / data lake platforms such as AWS S3, GitRepo, Lambda
Perform exploratory data analysis (EDA) to uncover trends, anomalies, and insights. * Develop and maintain KPIs, metrics, and data visualizations to support business goals.
Perform exploratory data analysis (EDA) to uncover trends, anomalies, and insights. * Develop and maintain KPIs, metrics, and data visualizations to support business goals.
Data Analyst - Iowa
Des Moines, IA · On-site
Apply statistical techniques and advanced exploratory data analysis (EDA) to provide nuanced insights that answer key business questions to improve operations through descriptive and diagnostic ...
Data Analyst - Iowa
Des Moines, IA · On-site
Apply statistical techniques and advanced exploratory data analysis (EDA) to provide nuanced insights that answer key business questions to improve operations through descriptive and diagnostic ...
Data Analyst
Los Angeles, CA · On-site
... exploratory data analysis (EDA) to uncover trends, patterns, and anomalies. • Apply domain-specific knowledge to identify correlations across datasets. • Conduct diagnostic analysis to explain ...
Data Analyst
Los Angeles, CA · On-site
... exploratory data analysis (EDA) to uncover trends, patterns, and anomalies. • Apply domain-specific knowledge to identify correlations across datasets. • Conduct diagnostic analysis to explain ...
Data Scientist
Doral, FL · On-site
Develop and refine predictive models, conduct exploratory data analysis (EDA), and generate AI-driven insights to enhance intelligence and operational planning. * Integrate customer feedback into ...
Data Scientist
Doral, FL · On-site
Develop and refine predictive models, conduct exploratory data analysis (EDA), and generate AI-driven insights to enhance intelligence and operational planning. * Integrate customer feedback into ...
EDA ( exploratory data analysis) understand data patterns and analysis. Modelling : design , build predictive models and machine learning algorithm to solve business problem. Validate and fine tune ...
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EDA ( exploratory data analysis) understand data patterns and analysis. Modelling : design , build predictive models and machine learning algorithm to solve business problem. Validate and fine tune ...
Data Scientist III (IT)
Birmingham, AL · On-site
Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies * Build, evaluate, and deploy statistical and machine learning models * Apply a variety of machine learning ...
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Data Scientist III (IT)
Birmingham, AL · On-site
Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies * Build, evaluate, and deploy statistical and machine learning models * Apply a variety of machine learning ...
Data Scientist
Fremont, CA · On-site
Experience in data cleaning, preprocessing, exploratory data analysis (EDA), and statistical analysis. * Proficiency in Python for data analysis, including experience with libraries such as pandas ...
Data Scientist
Fremont, CA · On-site
Experience in data cleaning, preprocessing, exploratory data analysis (EDA), and statistical analysis. * Proficiency in Python for data analysis, including experience with libraries such as pandas ...
Perform exploratory data analysis (EDA) and feature engineering. * Monitor model performance and recommend improvements as needed. Required Skills & Qualifications * Bachelor''s or Master''s degree ...
Perform exploratory data analysis (EDA) and feature engineering. * Monitor model performance and recommend improvements as needed. Required Skills & Qualifications * Bachelor''s or Master''s degree ...
Perform exploratory data analysis (EDA) to uncover trends and patterns * Visualize data effectively to tell a story * Build data dashboards that enable stakeholders to self-serve * Collaborate with ...
Perform exploratory data analysis (EDA) to uncover trends and patterns * Visualize data effectively to tell a story * Build data dashboards that enable stakeholders to self-serve * Collaborate with ...
AI & ML Data Analyst
Atlanta, GA · On-site
$80K - $95K/yr
Conducted exploratory data analysis (EDA) to identify patterns, anomalies, and opportunities. * Presented findings to stakeholders through clear visualizations and storytelling. * Identified process ...
AI & ML Data Analyst
Atlanta, GA · On-site
$80K - $95K/yr
Conducted exploratory data analysis (EDA) to identify patterns, anomalies, and opportunities. * Presented findings to stakeholders through clear visualizations and storytelling. * Identified process ...
AI & ML Data Analyst
Atlanta, GA · On-site
$80K - $95K/yr
Conducted exploratory data analysis (EDA) to identify patterns, anomalies, and opportunities. * Presented findings to stakeholders through clear visualizations and storytelling. * Identified process ...
AI & ML Data Analyst
Atlanta, GA · On-site
$80K - $95K/yr
Conducted exploratory data analysis (EDA) to identify patterns, anomalies, and opportunities. * Presented findings to stakeholders through clear visualizations and storytelling. * Identified process ...
Data Scientist
Auburn Hills, MI · On-site
$120K - $125K/yr
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 ...
Data Scientist
Auburn Hills, MI · On-site
$120K - $125K/yr
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 ...
Exploratory Data Analysis Eda information
See salary details
$34K - $43.3K
4% of jobs
$43.3K - $52.5K
7% of jobs
$52.5K - $61.8K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.8K - $71.1K
18% of jobs
The median wage is $75.4K / yr.
$71.1K - $80.4K
16% of jobs
$80.4K - $89.6K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$89.6K - $98.9K
9% of jobs
$98.9K - $108.2K
5% of jobs
$108.2K - $117.5K
9% of jobs
$117.5K - $126.7K
3% of jobs
$126.7K - $136K
2% of jobs
$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?
| Aspect | Exploratory Data Analysis Eda | Data Analyst |
|---|---|---|
| Primary Focus | Analyzing data to uncover patterns and insights | Interpreting data to support business decisions |
| Skills Required | Statistical analysis, data visualization, programming (Python/R) | Data manipulation, reporting, communication skills |
| Tools Used | Python, R, SQL, Tableau | Excel, SQL, BI tools, visualization software |
| Work Environment | Data science teams, research projects | Business 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.
Contractor
Posted 20 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
Required Qualifications
Preferred Qualifications
Skills:
Data Analyst,pYTHON
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