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Overnight Exploratory Data Analysis Jobs in Virginia

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Support collection, cleaning, and preparation of structured and semi-structured data * Assist with exploratory data analysis and basic statistical assessments * Develop simple dashboards ...

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Support collection, cleaning, and preparation of structured and semistructured data * Assist with exploratory data analysis and basic statistical assessments * Develop simple dashboards ...

Support collection, cleaning, and preparation of structured and semi-structured data * Assist with exploratory data analysis and basic statistical assessments * Develop simple dashboards ...

Senior Data Analyst

Norfolk, VA · On-site

$87K - $134K/yr

Pinpoint business bottlenecks (e.g., high customer churn, inefficient supply chain routes, or low sales conversion rates) using exploratory data analysis and then making recommendations for process ...

Support exploratory data analysis, feature development, training set construction, and model evaluation activities. * Work collaboratively within a large Agile development team. Work Experience and ...

Data Scientist

Ashburn, VA · On-site

$110 - $160/hr

Support exploratory data analysis, feature development, training set construction, and model evaluation activities. * Work collaboratively within a large Agile development team. Work Experience and ...

Showing results 21-40

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.

What are the most commonly searched types of Exploratory Data Analysis jobs in Virginia?

The most popular types of Exploratory Data Analysis jobs in Virginia are:

What cities in Virginia are hiring for Overnight Exploratory Data Analysis jobs?

Cities in Virginia with the most Overnight Exploratory Data Analysis job openings:

Senior Data Scientist - Operational Analytics

Peraton

Herndon, VA • On-site

$104 - $166/hr

Other

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


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

51st of 224 rated it services


Job description

Responsibilities
  • Analyze workstream, requirements, IMS, schedule, risk, operational, and program data to identify trends, dependencies, gaps, anomalies, and decision-relevant insights
  • Define operational metrics, KPIs, analytical logic, thresholds, and decision-support views for Digital Command Center dashboards and advanced analytics products
  • Assess the quality, completeness, consistency, and usability of data made available through enterprise data repositories
  • Partner with data architects and data engineers to identify data gaps, transformation needs, metadata requirements, and analytics-readiness issues
  • Support ai-enabled analytics workflows by helping define trusted data inputs, context, validation criteria, and human-in-the-loop review considerations
  • Develop notebooks, scripts, SQL queries, statistical analyses, models, and reusable analytical artifacts to support data exploration and decision-making
  • Translate ambiguous operational questions into structured analysis, measurable metrics, and clear recommendations
  • Communicate assumptions, limitations, findings, and implications to technical teams, program leadership, and mission stakeholders
Qualifications

Required Qualifications

  • 8+ years of experience with a BS/BA, 6+ years with a MS/MA, or 3+ with a PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, Information Systems, Analytics, or a related technical discipline
  • Experience analyzing complex structured, semi-structured, operational, program, or business datasets to support decision-making
  • Proficiency with Python, R, SQL, or similar analytical tools, with the ability to develop notebooks, scripts, queries, and reusable analysis artifacts
  • Experience with exploratory data analysis, data cleaning, statistical analysis, trend analysis, anomaly detection, forecasting, classification, clustering, or predictive modeling
  • Experience defining or supporting metrics, KPIs, dashboards, reports, or decision-support products
  • Ability to assess data quality, completeness, consistency, and analytical usefulness
  • Ability to translate ambiguous operational and stakeholder questions into structured analyses and measurable outputs
  • US Citizenship
EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Target Salary Range

$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual\'s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

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What Peraton employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017