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Overnight Exploratory Data Analysis Jobs (NOW HIRING)

Using Tableau or Power BI to perform exploratory data analysis and building interactive dashboards and reports by combining multiple data sources via joins, blends, and merges. Creating nested LOD ...

Using Tableau or Power BI to perform exploratory data analysis and building interactive dashboards and reports by combining multiple data sources via joins, blends, and merges. Creating nested LOD ...

Perform data preprocessing, feature engineering, and exploratory data analysis. * Work collaboratively with data engineers and business stakeholders to understand requirements and translate them into ...

Data Analysis and Visualization: Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns. Utilize data visualization techniques to communicate insights ...

The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are ...

The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are ...

The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are ...

Perform data preprocessing, feature engineering, and exploratory data analysis. * Work collaboratively with data engineers and business stakeholders to understand requirements and translate them into ...

Data Analyst II

Lowell, AR · On-site

$70K - $130K/yr

Conduct exploratory data analysis using SQL, Python, and statistical techniques to uncover trends, outliers, and opportunities for improvement. * Collaborate with cross-functional teams to understand ...

Data Analyst II

Bentonville, AR · On-site

$70K - $130K/yr

Conduct exploratory data analysis using SQL, Python, and statistical techniques to uncover trends, outliers, and opportunities for improvement. * Collaborate with cross-functional teams to understand ...

Data Analyst II

Bentonville, AR · On-site

$70K - $130K/yr

Conduct exploratory data analysis using SQL, Python, and statistical techniques to uncover trends, outliers, and opportunities for improvement. * Collaborate with cross-functional teams to understand ...

Data Analyst II

Springdale, AR · On-site

$70K - $130K/yr

Conduct exploratory data analysis using SQL, Python, and statistical techniques to uncover trends, outliers, and opportunities for improvement. * Collaborate with cross-functional teams to understand ...

Data Analyst II

Goshen, AR · On-site

$70K - $130K/yr

Conduct exploratory data analysis using SQL, Python, and statistical techniques to uncover trends, outliers, and opportunities for improvement. * Collaborate with cross-functional teams to understand ...

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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 Jul 8, 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.

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 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 Scientist

Full-time

Posted 16 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

158th of 207 rated it services


Job description

Job Summary:
Tata Consultancy Services is seeking a Senior Data Scientist with strong expertise in data analysis and machine learning. The role involves performing exploratory data analysis, designing machine learning models, and engaging with stakeholders to deliver data-driven insights.
Responsibilities:
• Perform EDA to identify trends, patterns, anomalies, and key business drivers in complex datasets
• Conduct RCA to diagnose operational, business, and performance issues using data-driven techniques
• Design, build, and deploy machine learning models for predictive and prescriptive analytics
• Apply statistical modeling, causal analysis, and hypothesis testing to validate insights and outcomes
• Execute feature engineering, model evaluation, and performance tuning to ensure robust solutions
• Design and analyze experiments and A/B tests to measure business impact
• Use Palantir Foundry to integrate, curate, and model structured and unstructured enterprise data
• Implement Retrieval-Augmented Generation (RAG) patterns where applicable
• Troubleshoot data quality, model behavior, and workflow issues
• Work closely with stakeholders in customer-facing and consulting environments
• Clearly articulate analytical logic, assumptions, and limitations to business and technical audiences
• Support adoption and value realization of analytics and AI solutions
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management capabilities
• Ability to work independently and collaboratively in cross-functional teams
• Structured thinking and outcome-oriented mindset
Qualifications:
Required:
• BACHELOR OF COMPUTER SCIENCE
• 8 - 10 Years experience
• Strong hands-on experience in Exploratory Data Analysis (EDA) and Root Cause Analysis (RCA)
• Expertise in Machine Learning techniques: classification, regression, clustering, and time-series forecasting
• Proficiency in Python and SQL
• Experience with ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch
• Solid foundation in statistics, probability, hypothesis testing, and experimental design
• Experience working with large-scale enterprise datasets
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management capabilities
• Ability to work independently and collaboratively in cross-functional teams
• Structured thinking and outcome-oriented mindset
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US