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Data Analyst Night Shift Remote Jobs in Virginia

Thriveworks

Senior Financial Analyst - Remote

Reston, VA · On-site +1

$89K - $111K/yr

Senior Financial Analyst - Remote About Thriveworks Thriveworks is one of the leading mental health ... Data & Reporting * Develop and maintain dashboards and reports (Power BI or similar) integrating ...

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

The Data Analytics Architect leads the design, integration, and governance of data systems that ... FAA Part 107 Remote Pilot Certification (required) Physical Requirements / Working Conditions ...

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ... Onsite or remote: 60% onsite * Vision: Daily be able to see and read computer screen and other ...

HEO

Space Systems Analyst

Arlington, VA · On-site +1

Experience: 2-5+ years of professional experience in a data-centric engineering or analysis role, ideally supporting aerospace, remote sensing, defense, or intelligence applications. * Data & Tooling ...

Parsons

Senior Data Scientist

Springfield, VA · Remote

The Data Analysis- Senior,leads the integration and application of advanced data analytics to solve ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

Inova

Sr. HR Analytics Analyst

Fairfax, VA · On-site +1

$90K - $119K/yr

This remote role will be full-time day shift working Monday - Friday. The Sr. HR Analytics Analyst is responsible for collecting, analyzing, reporting and interpreting data for use in the development ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Conduct sophisticated analysis using deployed tools and natural language processing (NLP)

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Conduct sophisticated analysis using deployed tools and natural language processing (NLP)

SAIC

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to ...

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All JobsData Analyst JobsData Analyst Night Shift Remote JobsData Analyst Night Shift Remote Jobs in Virginia

Data Analyst Night Shift Remote information

What is the difference between Data Analyst Night Shift Remote vs Data Scientist Night Shift Remote?

AspectData Analyst Night Shift RemoteData Scientist Night Shift Remote
Required CredentialsBachelor's in Statistics, Data Analysis, or related field; often certifications like Microsoft Excel, SQLBachelor's or Master's in Computer Science, Statistics, or related; certifications in Python, R, Machine Learning
Work EnvironmentRemote, night shift, primarily data processing and reportingRemote, night shift, involves advanced modeling and algorithm development
Employer & Industry UsageBusiness, finance, healthcare, retailTech, finance, healthcare, research institutions

Data Analyst Night Shift Remote roles focus on data collection, cleaning, and reporting, requiring strong analytical skills. Data Scientist Night Shift Remote positions involve building predictive models and advanced analytics. Both roles are remote and night-shift, but Data Scientists typically need more advanced technical skills and higher education.

What does a data analyst night shift remote do?

A Data Analyst Night Shift Remote is responsible for collecting, processing, and analyzing data to provide actionable insights, but works outside typical business hours and usually from a remote location. Their primary duties may include generating daily reports, monitoring data trends, maintaining databases, and supporting teams in different time zones. This role is ideal for individuals who prefer or need to work overnight and thrive in independent, virtual work environments. Additionally, night shift remote analysts often help ensure continuous data operations and may address urgent issues that arise after standard business hours.

What are the key skills and qualifications needed to thrive as a data analyst night shift remote?

To thrive as a Data Analyst Night Shift Remote, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or economics. Familiarity with data visualization tools (such as Tableau or Power BI), SQL, and programming languages like Python or R is typically required. Excellent time management, self-motivation, and clear communication are crucial soft skills, especially in a remote and overnight setting. These skills ensure accurate data-driven insights, effective collaboration across time zones, and high productivity in a remote work environment.

How does working as a night shift remote data analyst impact communication and collaboration with daytime teams?

As a night shift remote Data Analyst, you'll often collaborate asynchronously with colleagues who work standard daytime hours. Effective communication is key; you'll likely use project management tools, detailed handover notes, and regular status updates to ensure alignment. While real-time meetings may be limited, most organizations schedule overlap hours or utilize messaging platforms to address urgent questions. Proactively reaching out and documenting your work clearly helps maintain smooth workflows and fosters strong team connections, even across time zones.
What are popular job titles related to Data Analyst Night Shift Remote jobs in Virginia? For Data Analyst Night Shift Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Analyst Night Shift Remote jobs in Virginia look for? The top searched job categories for Data Analyst Night Shift Remote jobs in Virginia are:
What cities in Virginia are hiring for Data Analyst Night Shift Remote jobs? Cities in Virginia with the most Data Analyst Night Shift Remote job openings:
Data Analyst Night Shift Remote jobs near you
Infographic showing various Data Analyst Night Shift Remote job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Director, Data Science (Remote-Eligible)

Capital One

Mclean, VA • On-site, Remote

Full-time

Posted 16 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks

Job description

Senior Director, Data Science (Remote-Eligible)

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Science Leader at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

The Intelligent Foundations and Experiences (IFX) group is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering. The Emerging AI Patterns team within IFX group is a new strategic initiative to explore and operationalize cutting-edge AI paradigms like Agentic frameworks, multi-agent collaboration. We are specifically focused on revolutionizing how Capital One develops, deploys, and manages a large number of machine learning models through Agentic AI systems.

In this role, you will:

  • Partner with a cross-functional team of software engineers, distinguished researchers, and solutions architects to drive great decisions through modeling

  • Define and drive towards an end state that is based on simplicity and the adoption of digital technologies, cloud hosting, and open source software.

  • Distill the details of complex interconnected modeling systems to influence senior business leaders on model strategy, business use, and risks

  • Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners

  • Shape our practice of building machine learning models, from design through training, evaluation, validation, and implementation

  • Oversee development of benchmark and challenger models to stress test critical modeling decisions

The Ideal Candidate is:

  • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo.

  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.

  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

  • Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

Basic Qualifications:

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date :

    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 11 years of experience performing data analytics

    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 9 years of experience performing data analytics

    • A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics

  • At least 6 years of experience leveraging open source programming languages for large scale data analysis

  • At least 6 years of experience working with machine learning

  • At least 6 years of experience utilizing relational databases

Preferred Qualifications:

  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics

  • At least 6 years of experience in Python, Scala, or R for large scale data analysis

  • At least 6 years of experience with machine learning

  • At least 2 year of experience working with AWS

  • At least 6 years of experience with complex architectural patterns (SOA), building APIs, microservices, and event streams

  • At least 6 years of experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Capital One is open to hiring a Remote Employee for this opportunity.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $286,200 - $326,700 for Sr Dir, Data Science


McLean, VA: $314,800 - $359,300 for Sr Dir, Data Science










Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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