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Seasonal Exploratory Data Analysis Jobs (NOW HIRING)

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 ...

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:

... exploratory data analysis to identify trends, patterns, anomalies, and business insights Build and validate datasets used for reporting, dashboards, and model development Collaborate with business ...

... exploratory data analysis to identify trends, patterns, anomalies, and business insights Build and validate datasets used for reporting, dashboards, and model development Collaborate with business ...

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 and Data Cleansing Ability to Write SQL Scripts for Data Warehousing Understanding and knowledge of Ad Hoc Business Analysis Day to day work involves proficiency in using ...

$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 ...

Conduct thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within complex healthcare datasets. * Interpret and translate analytical findings into clear ...

Exploratory Data Analysis (EDA): Analyzing data to uncover hidden patterns, correlations, and trends. Modeling and Machine Learning: Developing algorithms, designing predictive models, and training ...

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Seasonal Exploratory Data Analysis information

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$34K

$82.6K

$136K

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

As of Jul 13, 2026, the average yearly pay for seasonal 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 cities are hiring for Seasonal Exploratory Data Analysis jobs? Cities with the most Seasonal Exploratory Data Analysis job openings:
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 Seasonal Exploratory Data Analysis jobs? States with the most job openings for Seasonal Exploratory Data Analysis jobs include:

Data Analyst

Stellar IT Group

Saint Louis, MO • On-site

Contractor

Posted 16 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
  • 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