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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 ...

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 ...

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 ...

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 (EDA): Engaging in exploratory data analysis to gain a deeper understanding of the data and identify potential areas for further investigation. * Data Visualization:

Responsibilities : • Perform exploratory data analysis to identify trends, anomalies, and actionable insights. • Develop and maintain dashboards, reports, and visualizations using PowerBI. • ...

... exploratory data analysis, to address business questions. • Develop compelling narratives from data insights, articulating business implications, opportunities, and next steps. • Collaborate with ...

Data Architect

Clark, NJ · On-site

$66 - $84.75/hr

... exploratory data analysis Job Responsibilities and Primary Deliverables: Data modeling, physical source data models, data profiling reports, data quality control, data definitions, data taxonomy ...

Data Architect

Clark, NJ · On-site

$66 - $84.75/hr

... exploratory data analysis Job Responsibilities: Data modeling, physical source data models, data profiling reports, data quality control, data definitions, data taxonomy, data metrics, meta-data ...

Strong experience in exploratory data analysis and statistical modeling. * Hands-on with data visualization tools like Tableau and Power BI. * Experienced in cloud platforms such as AWS, Azure, or ...

Sr Data Analyst

Chicago, IL · Hybrid

$88.70K - $111.90K/yr

... exploratory data analysis, and data visualization Min 5+ years of experience as Data Analyst, with PowerBI Significant exposure to SQL and relational databases

Additionally, performing data extraction, manipulation and descriptive/ exploratory data analysis This role is a supportive role to the individual accountable for turning data into actionable ...

Sr Data Analyst

Chicago, IL · Hybrid

$88.70K - $111.90K/yr

... exploratory data analysis, and data visualization - Min 5+ years of experience as Data Analyst, with PowerBI - Significant exposure to SQL and relational databases

Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights that drive business decisions. * Use ERWin for data modeling and database design to ensure data integrity and ...

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Overnight Exploratory Data Analysis information

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

As of May 28, 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 19 hours 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