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Overnight 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:

Perform exploratory data analysis to identify trends, anomalies, and actionable insights. * Develop and maintain dashboards, reports, and visualizations using PowerBI. * Extract, manipulate, and ...

Perform exploratory data analysis to identify trends, anomalies, and actionable insights. * Develop and maintain dashboards, reports, and visualizations using PowerBI. * Extract, manipulate, and ...

Perform exploratory data analysis to identify trends, anomalies, and actionable insights. * Develop and maintain dashboards, reports, and visualizations using PowerBI. * Extract, manipulate, and ...

... 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 ...

New

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 ...

Conduct in-depth exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within complex healthcare datasets. * Translate analytical findings into clear, actionable insights ...

... 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 ...

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Overnight Exploratory Data Analysis information

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$34K

$82.6K

$136K

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

As of Jun 17, 2026, the average yearly pay for overnight 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 the difference between Overnight Exploratory Data Analysis vs Data Analyst?

AspectOvernight Exploratory Data AnalysisData Analyst
CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in similar fields
Work EnvironmentTypically in data teams, often during night shifts for real-time insightsOffice or remote, regular hours
Industry UsageUsed for quick, overnight data insights, often in finance, tech, or e-commerceOngoing data reporting and analysis across industries
Search IntentUnderstanding overnight data analysis tasks and skillsGeneral data analysis roles and responsibilities

Overnight Exploratory Data Analysis focuses on quick, real-time data insights during night shifts, often for immediate decision-making. In contrast, Data Analysts perform ongoing, comprehensive data analysis during regular hours, supporting strategic business decisions across various industries.

What cities are hiring for Overnight Exploratory Data Analysis jobs? Cities with the most Overnight 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 Overnight Exploratory Data Analysis jobs? States with the most job openings for Overnight Exploratory Data Analysis jobs include:

Data Analyst

Stellar IT Group

Saint Louis, MO • On-site

Contractor

Posted 21 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