1

Overnight Exploratory Data Analysis Jobs in Indiana

The role will include exploratory data analysis, reporting, descriptive statistics, dataset curation, and data visualization. The Data Analyst validates and analyzes a variety of agency data sources ...

Data Analyst, Sr

Evansville, IN ยท On-site

$82K - $103K/yr

... exploratory data analysis and/or qualitative analysis to provide insights on trends, client behaviors, system troubleshooting or non-recurring reporting needs. โ€ข Creating customized diagrams and ...

Data Analyst, Sr

Evansville, IN ยท On-site

$60K - $121K/yr

Drive efforts on ad hoc, time-sensitive exploratory data analysis and/or qualitative analysis to provide insights on trends, client behaviors, system troubleshooting or non-recurring reporting needs.

Drive efforts on ad hoc, time-sensitive exploratory data analysis and/or qualitative analysis to provide insights on trends, client behaviors, system troubleshooting or non-recurring reporting needs.

Data Analyst, Sr

Evansville, IN ยท On-site

$60K - $121K/yr

Drive efforts on ad hoc, time-sensitive exploratory data analysis and/or qualitative analysis to provide insights on trends, client behaviors, system troubleshooting or non-recurring reporting needs.

Conduct exploratory data analysis to uncover trends, patterns, and insights that can inform business decisions. * Analyze complex datasets to extract actionable insights that inform product ...

Conduct exploratory data analysis to uncover trends, patterns, and insights that can inform business decisions. * Analyze complex datasets to extract actionable insights that inform product ...

Data Science Tutor

Indianapolis, IN ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

next page

Showing results 1-20

Overnight Exploratory Data Analysis information

Can a data analyst work at night?

A data analyst can work at night if their employer offers night shifts or flexible scheduling. Some roles, especially in 24/7 operations or global companies, require overnight work, and analysts may need skills in remote collaboration tools and time management. However, many data analyst positions are standard daytime roles.

Is it worth being a data analyst in 2026?

The data analyst role remains valuable in 2026 due to increasing data-driven decision-making across industries. Skills in programming, statistical analysis, and tools like SQL and Python are essential, and demand is expected to grow as organizations prioritize data insights for strategic growth.

Is 40 too late for data science?

Overnight exploratory data analysis roles are open to candidates of various ages, and age is not a barrier in data science careers. Success depends on skills, experience, and continuous learning, regardless of age, with many professionals transitioning into data science later in life by acquiring relevant tools like Python, R, and SQL.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI can handle many repetitive functions, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning tools and programming languages like Python or R will be better positioned in an evolving job market.

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 in Indiana are hiring for Overnight Exploratory Data Analysis jobs? Cities in Indiana with the most Overnight Exploratory Data Analysis job openings:

Data Analyst - Indianapolis, IN

STI

Indianapolis, IN โ€ข On-site

Full-time

Re-posted 8 days ago


Job description

The incumbent will validate and analyze agency data to garner public health insight for specific agency divisions. The role will include exploratory data analysis, reporting, descriptive statistics, dataset curation, and data visualization.
The Data Analyst validates and analyzes a variety of agency data sources to garner public health insight. The incumbent will produce reports and support data-related activities for the several divisions. In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports.
JOB DUTIES
โ€ข Serves as project lead/subject matter expert for specific data sources, as assigned
โ€ข Reviews and provides feedback on the work products of other analysts
โ€ข Responsible for transferring raw data to the appropriate location for use in data analysis projects
โ€ข Wrangles, cleans, and validates agency data sources with minimal guidance
โ€ข Conducts general analysis of agency datasets; serves as project lead, as assigned.
โ€ข Contributes to complex analysis of agency datasets, as requested
โ€ข Conducts data quality checks to ensure the validity and cleanliness of agency datasets prior to their use in analysis and reporting
โ€ข Oversee and review projects completed by associate analysts, as requested by senior analyst
โ€ข Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical methodologies
โ€ข Collaborate with internal and external partners to develop novel ways of using and reporting out data.
โ€ข Provide technical assistance to program areas for the creation of reports and grant deliverables
REQUIREMENTS
โ€ข Demonstrated experience with data queries and transformations (including cleansing and standardizing) with SQL.
โ€ข Demonstrated experience with SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses.
โ€ข Working knowledge of epidemiological methods, study design, and analysis needed with an understanding of both qualitative and quantitative data.
โ€ข Working knowledge of MS Office Suite including Excel, Word, and PowerPoint.
โ€ข Effective time management and program management skills.
โ€ข Ability to work in a team environment with multiple and fluid demands.
โ€ข Ability to maintain effective and professional working relationships with internal and external customers.
โ€ข Ability to research and document findings.