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Overnight Exploratory Data Analysis Jobs in Texas

Data Analyst

Fort Worth, TX · Hybrid

$92K - $166K/yr

Perform exploratory data analysis (EDA), including univariate, bivariate, and multivariate analysis. * Apply statistical methods and predictive modeling techniques such as linear regression and other ...

Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection ...

Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection ...

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

Apply exploratory data analysis, statistical techniques, and basic predictive modeling to large, multi-source datasets to identify trends, correlations, and outliers that support operational and ...

Apply exploratory data analysis, statistical techniques, and basic predictive modeling to large, multi-source datasets to identify trends, correlations, and outliers that support operational and ...

Data Scientist

Austin, TX · On-site

$100 - $130/hr

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 ...

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

Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies. * Communication & Visualization: Translate technical findings into "data stories" using tools like ...

Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies. * Communication & Visualization: Translate technical findings into "data stories" using tools like ...

From exploratory data analysis and robust reporting to interactive dashboard development and data quality validation, you will play a critical role in transforming complex data into clear, actionable ...

From exploratory data analysis and robust reporting to interactive dashboard development and data quality validation, you will play a critical role in transforming complex data into clear, actionable ...

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Showing results 1-20

Overnight Exploratory Data Analysis information

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.

Data Analyst

Leidos

Fort Worth, TX • Hybrid

$92K - $166K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

79th of 492 rated business services


Job description

Leidos is seeking a highly analytical and curious Data Analyst who is passionate about turning data into actionable business insights. The ideal candidate combines strong technical expertise with critical thinking and exceptional communication skills. This role requires someone who can work independently, uncover meaningful patterns in complex datasets, and communicate findings in a way that drives informed business decisions.

*The Data Analyst will be a hybrid role, 50% onsite in the Fort Worth, TX office and 50% remote. The candidate for this role must be within commutable distance to the office location.

Primary Responsibilities:

  • Extract, clean, transform, and validate data from multiple sources, including relational databases.

  • Write efficient SQL queries to retrieve, manipulate, and analyze large datasets.

  • Develop Python-based data analysis workflows for data exploration, modeling, and reporting.

  • Perform exploratory data analysis (EDA), including univariate, bivariate, and multivariate analysis.

  • Apply statistical methods and predictive modeling techniques such as linear regression and other statistical evaluations.

  • Utilize AI and machine learning tools to identify trends, generate insights, and improve analytical processes.

  • Build and evaluate machine learning models, including:

    • Regression

    • Classification

    • Clustering

    • Decision Trees

    • Supervised Learning

    • Unsupervised Learning

  • Investigate data anomalies and independently determine the root causes behind unexpected results.

  • Identify the most relevant data elements, metrics, and business questions without requiring extensive direction.

  • Translate complex analytical findings into clear, compelling presentations and recommendations for non-technical stakeholders.

  • Develop a deep understanding of the business and industry to ensure analyses align with organizational goals.

  • Partner with business leaders to provide data-driven recommendations that support strategic decision-making.

Basic Qualifications:

  • Citizenship: U.S. Citizenship required

  • Clearance: Secret clearance or ability to obtain one

  • LocaBachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field (or equivalent practical experience).

  • Strong proficiency in Python for data analysis and automation.

  • Advanced SQL skills with experience querying and manipulating relational databases.

  • Experience cleaning, transforming, and preparing data for analysis.

  • Solid understanding of statistics and data analysis methodologies.

  • Working knowledge of machine learning concepts and algorithms, including regression, classification, clustering, decision trees, supervised learning, and unsupervised learning.

  • Familiarity with Large Language Models (LLMs), AI tools, and their practical application in data analysis.

  • Ability to perform exploratory data analysis and communicate meaningful insights from complex datasets.

  • Excellent analytical, critical thinking, and problem-solving skills.

  • Ability to work independently, prioritize competing tasks, and investigate issues with minimal supervision.

  • Strong verbal and written communication skills with the ability to explain technical concepts to non-technical audiences.

Preferred Qualifications:

  • Experience with data visualization tools such as Power BI, Tableau, or Looker.

  • Experience using cloud-based data platforms (AWS, Azure, or Google Cloud).

  • Familiarity with version control systems such as Git.

  • Experience working with business intelligence, analytics, or AI-driven decision support environments.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:August 6, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $92,300.00 - $166,850.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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