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Part Time Data Analyst Jobs in Maryland (NOW HIRING)

BOOZ, ALLEN & HAMILTON, INC.

$62K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

New

BOOZ, ALLEN & HAMILTON, INC.

$61K - $141K/yr

Data Visualization Analyst The Opportunity: To transform in today's evolving digital world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

New

Booz Allen Hamilton, Inc.

Data Scientist

Edgewood, MD · On-site +1

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsData Analyst JobsPart Time Data Analyst JobsPart Time Data Analyst Jobs in Maryland

Part Time Data Analyst information

See Maryland salary details

$33K

$80.2K

$132K

How much do part time data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for part time data analyst in Maryland is $80,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,100.00 per year, depending on experience, location, and employer.

What is a part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

What are the key skills and qualifications needed to thrive as a part time data analyst, and why are they important?

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part time data analyst typically collaborate with full time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible ways to analyze data for decision-making. Skills in Excel, SQL, and data visualization tools like Tableau are valuable, and remote or flexible schedules are increasingly available in this field.
More about Part Time Data Analyst jobs

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

The most popular types of Data Analyst jobs in Maryland are:

What are popular job titles related to Part Time Data Analyst jobs in Maryland?

For Part Time Data Analyst jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Part Time Data Analyst jobs in Maryland look for?

The top searched job categories for Part Time Data Analyst jobs in Maryland are:

What cities in Maryland are hiring for Part Time Data Analyst jobs?

Cities in Maryland with the most Part Time Data Analyst job openings:

Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,206 per year, or $38.6 per hour.

Data Analyst-Arlington, Virginia

BOOZ, ALLEN & HAMILTON, INC.

$62K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted yesterday

New

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

10th of 72 rated business consultants

Job description

Data Analyst
The Opportunity:
As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a data analyst at Booz Allen, you can use your skills and experience to support a mission and use data for good. We need a data analyst like you to bring your knowledge to support the United States Marine Corps.
As a client-facing data analyst on our Global Defense Team, you'll work closely with Marines to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, but you'll also advise your client on what the information means and how it can be used to make an impact on strategic engagements, process improvement, visualization, and analysis.
How You'll Contribute:
  • Use your technical knowledge and analytical mindset to support client and stakeholder relationships.
  • Identify, connect, and consolidate data from multiple sources across communication functions, including social and digital media analytics, media monitoring platforms, survey and engagement data, website analytics, and internal reporting systems.
  • Build and maintain data pipelines and connectors such as Power Automate flows, Dataverse tables, Excel, and SharePoint sources to automate recurring data ingestion.
  • Conduct quantitative and qualitative analysis of communication data to identify trends, patterns, correlations, and gaps over time .
  • Translate communication goals and objectives into measurable indicators, metrics, and key performance indicators (KPIs) across outputs, outtakes, outcomes, and organizational impact .
  • Identify opportunities to automate manual reporting processes using Power Automate and other Microsoft Power Platform tools .
  • Design and build interactive dashboards, reports, and data models that present assessment findings clearly to senior leaders and staff.
  • Develop recurring and on-demand visual products such as trend charts, scorecards, and heat maps that communicate performance against KPIs .

Work with us to help drive large-scale communication strategy and process decisions through data insights.
Join us. The world can't wait.
You Have:
  • Experience with building interactive dashboards, reports, and data models
  • Experience with data exploration, data cleaning, data visualization, and predictive modeling
  • Experience using Microsoft Power Platform Tools such as Power Automate
  • Experience with Python including Pandas, NumPy, API integration, SQL, ETL, and ELT
  • Ability to brief senior leaders
  • Ability to c onduct quantitative and qualitative analysis of data to identify trends, patterns, correlations, and gaps over time
  • Ability to build and maintain data pipelines and connectors to automate recurring data ingestion
  • Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience building internal analytics platforms and data products
  • Experience with translating leadership priorities and assessment requirements into analytic products
  • Experience with Databricks or PySpark
  • Knowledge of application architecture design
  • Knowledge of machine learning including classification, clustering, and evaluation metrics

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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