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

Data Analysis Manager

Washington, DC · On-site

$80K - $100K/yr

We are looking for an Data Analysis Manager to support a economic consulting team with data-driven ... project updates and final outputs are delivered in a clear and effective manner. • Interpret data ...

Review project scopes of work and translate them into actionable task assignments * Develop data analytics strategies to support proposal (RFP) responses * Assess research and data needs to enhance ...

EV Data Analysis Lead

Columbia, MD · On-site

$107K - $161K/yr

Review project scopes of work and translate them into actionable task assignments * Develop data analytics strategies to support proposal (RFP) responses * Assess research and data needs to enhance ...

Review project scopes of work and translate them into actionable task assignments * Develop data analytics strategies to support proposal (RFP) responses * Assess research and data needs to enhance ...

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 ...

Senior Manager, Data Analysis At Capital One, data is at the center of everything we do. When we ... Planning and executing validation projects * Assessing the quality and risk of analytical tool ...

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Data Analysis Project information

See Washington, DC salary details

$19

$65

$90

How much do data analysis project jobs pay per hour?

As of Jul 18, 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.

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:
Infographic showing various Data Analysis Project job openings in Washington, DC as of July 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $135,478 per year, or $65.1 per hour.
Data Analysis Manager

Data Analysis Manager

Robert Half

Washington, DC • On-site

$80K - $100K/yr

Full-time

Posted 9 days ago


Job description

We are looking for an Data Analysis Manager to support a economic consulting team with data-driven research and client-focused analysis in Washington, District of Columbia. This position is ideal for an early-career candidate with strong quantitative skills who enjoys working with large public datasets and translating findings into clear, useful insights. The role offers the opportunity to contribute to reports, presentations, and policy-related research in a collaborative environment with economists and consulting staff.


Responsibilities:

• Gather information from publicly available databases, prepare datasets for use, and perform detailed quantitative analysis to support consulting engagements.

• Develop accurate and timely materials for clients, ensuring project updates and final outputs are delivered in a clear and effective manner.

• Interpret data trends and economic findings to help inform client decisions related to policy matters and market developments.

• Produce written content such as research summaries, reports, thought leadership pieces, and other analytical documents.

• Communicate project progress and findings to clients through calls, virtual presentations, and in-person discussions when needed.

• Partner with senior economists and other team members on research tasks, data requests, and day-to-day project coordination.

• Create charts, tables, and presentation materials that communicate complex information in an accessible format using Excel and PowerPoint.


All interested candidates in the Data Analysis Manager opportunity and other full time opportunities in the Washington, D.C. area please send your resume to Justin Decker via LinkedIn 

• Bachelor’s degree required, preferably in economics, finance, data analytics, or a related field.

• At least 1 year of experience working with data analysis, quantitative datasets, or similar analytical responsibilities.

• Demonstrated ability to contribute to client-facing projects and deliver high-quality work within deadlines.

• Strong verbal and written communication skills with the ability to explain findings clearly to different audiences.

• Advanced proficiency in Microsoft Office, especially Excel and PowerPoint.

• Background in economics, consulting, or a closely related analytical environment is strongly preferred.

• Experience organizing, cleaning, and evaluating data from multiple sources with a high level of accuracy.


All interested candidates in the Data Analysis Manager opportunity and other full time opportunities in the Washington, D.C. area please send your resume to Justin Decker via LinkedIn 


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About Robert Half

Sourced by ZipRecruiter

Founded in 1948, Robert Half pioneered the idea of professional talent solutions to connect opportunities at great companies with highly skilled job seekers. As business needs changed, we evolved to offer specialized talent solutions for finance and accounting, technology, administrative and customer support, creative and marketing, and legal fields. In 2002, we introduced our subsidiary, Protiviti, a global independent risk consulting and internal audit service, to support companies as they faced more strategic business challenges.

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

San Ramon, CA, US

Year founded

1948