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Data Analysis Project Jobs in Washington, DC (NOW HIRING)

Sr Data Analyst

Washington, DC · Hybrid

$97K - $122K/yr

... projects, advancing the firm's data innovation efforts, and applying advanced analytical techniques ... Duties will include financial performance data analysis and presentation, interpreting data from ...

New

Sr Data Analyst

Reston, VA · Hybrid

$89K - $112K/yr

... projects, advancing the firm's data innovation efforts, and applying advanced analytical techniques ... Duties will include financial performance data analysis and presentation, interpreting data from ...

New

TS/SCI with Poly Required Data Scientist I * 1-4 years of experience supporting data analysis or analytics projects * Familiarity with Python, R, SQL, or similar analytical tools * Familiarity with ...

... data flows - Support UAT and validation of delivered features - Leverage AI-assisted tools for ... Required Qualifications: - 3+ years of business analysis experience on IT projects - Strong ...

Providing support for data analysis and reporting activities * Assisting in collecting, cleaning ... Self-starter with the ability to work under tight deadlines, manage multiple projects, anticipate ...

... data flows - Support UAT and validation of delivered features - Leverage AI-assisted tools for ... Required Qualifications: - 3+ years of business analysis experience on IT projects - Strong ...

... data flows - Support UAT and validation of delivered features - Leverage AI-assisted tools for ... Required Qualifications: - 3+ years of business analysis experience on IT projects - Strong ...

Showing results 41-60

Data Analysis Project information

See Washington, DC salary details

$19

$65

$90

How much do data analysis project jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analysis project in Washington, DC is $65.13, according to ZipRecruiter salary data. Most workers in this role earn between $56.35 and $76.25 per hour, depending on experience, location, and employer.

What is a data analysis project?

A data analysis project is a structured process where data is collected, cleaned, and examined to extract useful insights or answer specific questions. The project typically involves defining objectives, preparing and exploring data, applying statistical or computational techniques, and communicating findings through reports or visualizations. Data analysis projects are common in various industries and help organizations make informed decisions based on evidence from data.

What is the difference between Data Analysis Project vs Data Analyst?

AspectData Analysis ProjectData Analyst
CredentialsOften involves completing specific projects, certifications optionalTypically requires a degree in data-related fields, certifications like CAP or Microsoft Data Analyst
Work EnvironmentTemporary, project-based, can be freelance or in-houseFull-time or part-time employment within organizations
Industry UsageUsed across various industries for specific objectivesCommonly employed in business, finance, healthcare, and tech sectors
Search & ComparisonOften searched by those looking to complete or understand specific data projectsCompared when exploring career options or job opportunities in data roles

In summary, a Data Analysis Project refers to a specific, often temporary task or assignment focused on analyzing data, while a Data Analyst is a professional role involving ongoing responsibilities in data collection, analysis, and reporting within organizations.

What are some common challenges faced when managing a data analysis project, and how can they be addressed?

One common challenge in Data Analysis Projects is ensuring data quality and consistency, as datasets often come from multiple sources and may contain errors or missing values. Effective communication between data analysts, stakeholders, and IT teams is also crucial to clarify project objectives and data requirements. To address these issues, teams typically implement robust data cleaning processes, maintain clear documentation, and schedule regular check-ins to align expectations and track progress. Adopting project management tools and fostering a collaborative environment can help keep the project on track and ensure that insights meet business goals.

Is data analysis still a good career?

Data analysis remains a strong career choice due to increasing data-driven decision-making across industries. Professionals with skills in statistical tools, programming languages like Python or R, and data visualization are in high demand, and the field offers opportunities for growth and specialization.

What is the role of a data analysis project in a project?

A data analysis project involves collecting, processing, and interpreting data to support decision-making and solve specific problems. It helps identify trends, patterns, and insights using tools like Excel, SQL, or Python, and often requires clear communication of findings to stakeholders. The role of such a project is to provide actionable information that guides strategic or operational choices.

What are the key skills and qualifications needed to thrive in a data analysis project, and why are they important?

To excel in a Data Analysis Project, you need strong analytical skills, proficiency in statistics, and a solid grounding in data management, typically supported by a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI is essential, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and the ability to communicate complex insights clearly are vital soft skills in this role. These skills ensure accurate data interpretation, actionable insights, and effective collaboration with stakeholders, driving informed decision-making.
What are popular job titles related to Data Analysis Project jobs in Washington, DC? For Data Analysis Project jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Data Analysis Project jobs in Washington, DC look for? The top searched job categories for Data Analysis Project jobs in Washington, DC are:
Infographic showing various Data Analysis Project job openings in Washington, DC 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, with an average salary of $135,478 per year, or $65.1 per hour.

Manager, Data Analysis - Data Management Risk and Analysis

Capital One

Mclean, VA • On-site

Full-time

Re-posted yesterday


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

Manager, Data Analysis - Data Management Risk and Analysis

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 Manager, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we've created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.

Specifically in the role, as a Second Line Data Risk advisor, you will be acting as a trusted data risk advisor to divisions (first line business units) and technology partners. You will leverage your deep expertise in data risk management to provide effective challenges, ensuring the company's data management practices align with both regulatory requirements and enterprise risk appetite. This role is an opportunity to take on key responsibilities in identifying potential data risks, influencing key stakeholders, and assessing data risk across Capital One divisions. As part of the second line of defense, you will engage with product and technology partners, providing insight and influencing the integration of data risk controls into day-to-day operations. You'll bring a proactive, innovative mindset to designing processes and performing risk assessments to safeguard Capital One's data management environment.

On a given day you will be:

  • Refining a new Enterprise-wide analytical tools validation framework

  • Planning and executing validation projects

  • Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes

  • Understanding technical issues in analytical tools and assessing tools risks and opportunities

  • Independently researching, identifying, and prototyping industry best practices for emerging analytical tools

  • Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations

  • Leveraging education, colleagues and training opportunities to develop solutions to business problems

  • Coaching and mentoring junior staff

  • Trusted Data Risk Advisor: Build strong relationships with business and technology partners to become a trusted data risk advisor, providing insight into data management risks, guidance on technical control needs to manage data, and shaping risk mitigation strategies across the enterprise.

  • Gap Assessments & Recommendations: Perform gap assessments to identify weaknesses in current data management controls/processes, technical designs, architecture data flow diagrams, and propose actionable recommendations to drive organizational transformation and compliance.

An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams.

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 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

  • At least 5 years of experience performing professional data analysis work

  • At least 5 years of experience leading and developing with open source data technologies

  • At least 2 years of experience managing people

Preferred Qualifications:

  • Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field

  • At least 7 years of experience in statistical or econometrics hands-on work

  • At least 5 years of experience manipulating and performing analysis with large data sets

  • At least 5 years of experience in financial services industry

  • At least 5 years of experience in developing statistical or econometric models

  • At least 5 years of experience in validating statistical or econometric models

  • At least 2 years of experience with data governance

  • At least 2 years of experience with predictive analytics

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: $164,800 - $188,100 for Data Analysis Manager


Richmond, VA: $149,800 - $171,000 for Data Analysis Manager


New York, NY: $179,700 - $205,100 for Data Analysis Manager









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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