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Overnight Associate Data Analyst Jobs in Virginia

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Overnight Associate Data Analyst information

What does an overnight associate data analyst do?

An Overnight Associate Data Analyst is responsible for collecting, processing, and analyzing data during overnight shifts, often to support business operations that run 24/7 or require up-to-date reporting by morning. Their duties include cleaning and validating data, generating reports, and identifying trends or anomalies that occurred during the previous day. They often work closely with other analysts, managers, or IT staff to ensure accurate data flow and to resolve any issues that arise overnight. This role is essential for organizations that need timely insights to make informed decisions at the start of each business day.

What are the key skills and qualifications needed to thrive as an overnight associate data analyst, and why are they important?

To thrive as an Overnight Associate Data Analyst, you need a strong foundation in data analysis, statistics, and proficiency with spreadsheet and database tools, often supported by a relevant degree or coursework. Familiarity with analytics platforms like SQL, Excel, Python, and data visualization tools such as Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication—especially for clear reporting and shift handovers—are standout soft skills in this role. These abilities are crucial for ensuring accurate, timely insights and seamless operations during overnight hours when independent work is essential.

What are the typical challenges faced by overnight associate data analysts, and how can they be managed?

Overnight Associate Data Analysts often encounter challenges such as adjusting to non-traditional work hours, maintaining effective communication with daytime teams, and managing high-priority data tasks with limited onsite support. Adapting to the overnight schedule may require careful attention to work-life balance and personal health. Proactively using collaboration tools, leaving detailed handoff notes, and participating in virtual team meetings help bridge gaps with colleagues on different shifts. Developing strong time-management skills and seeking mentorship from more experienced analysts can also help overcome these challenges and set the stage for career advancement.

What is the difference between Overnight Associate Data Analyst vs Overnight Data Coordinator?

AspectOvernight Associate Data AnalystOvernight Data Coordinator
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Business, Information Systems, or related; similar technical skills often required
Work EnvironmentData-focused tasks during overnight shifts, often in office or data centersOvernight shifts managing data flow, often in logistics or retail settings
Employer & Industry UsageTech companies, retail, logisticsRetail chains, logistics firms, supply chain companies

The Overnight Associate Data Analyst primarily focuses on analyzing data to support business decisions, while the Overnight Data Coordinator manages data flow and integrity during overnight operations. Both roles require similar technical skills and often operate in related industries, but their core responsibilities differ in analysis versus coordination tasks.

Can a data analyst work at night?

A data analyst can work at night if the employer offers overnight shifts or flexible scheduling. Some companies require data analysts to work outside regular hours to support global operations or meet deadlines, and skills in remote work tools can facilitate night shifts. However, most data analyst roles are typically during standard daytime hours unless specified otherwise.

What are the most commonly searched types of Overnight Data Analyst jobs in Virginia?

The most popular types of Overnight Data Analyst jobs in Virginia are:

What are popular job titles related to Overnight Associate Data Analyst jobs in Virginia?

For Overnight Associate Data Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Overnight Associate Data Analyst jobs in Virginia look for?

The top searched job categories for Overnight Associate Data Analyst jobs in Virginia are:

What cities in Virginia are hiring for Overnight Associate Data Analyst jobs?

Cities in Virginia with the most Overnight Associate Data Analyst job openings:

Principal Associate, Data Analyst - Enterprise Risk

Capital One

Mclean, VA • On-site

Full-time

Re-posted 6 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

89th of 174 rated banks


Job description

Principal Associate, Data Analyst - Enterprise Risk
At Capital One, data is at the center of everything we do. When we launched 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 Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
On any given day you will be challenged on three types of work - Innovation, Business Intelligence and Data Management:
Innovation
  • Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
  • Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
  • Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

Business Intelligence
  • Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
  • Drive analysis that provides meaningful insights on business strategies

Data Management
  • Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
  • Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
  • Build and execute tools to monitor and report on data quality

Our ideal candidate will have:
  • Degree specialized in a Science, Technology, Engineering, Mathematics discipline
  • Scripting experience in (Python, R, Spark, and SQL)
  • Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
  • Experience utilizing and developing within AWS services

Basic Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or, a Master's Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
  • At least 3 years of experience working with at least one scripting language
  • At least 3 years of experience utilizing a business intelligence visualization tool
  • At least 3 years of experience in querying, analyzing and working with data languages and platforms

Preferred Qualifications:
  • Master's Degree in a Science, Technology, Engineering, Mathematics discipline
  • At least 4 years of experience coding in Python, R, Spark, or SQL
  • At least 4 years of experience working within process management and improvement methodologies - Agile, Lean, Six Sigma, etc.
  • At least 2 years of experience utilizing and developing within AWS services
  • At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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.
McLean, VA: $131,300 - $149,800 for Principal Data Analyst
Richmond, VA: $119,400 - $136,200 for Principal Data Analyst
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 the Capital 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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