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Part Time Data Cleaning Jobs in Virginia (NOW HIRING)

Experience with data exploration, data cleaning, data visualization, and predictive modeling ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Reston, VA · On-site

$77K - $176K/yr

Experience with data exploration, data cleaning, data analysis, data visualization, data science ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analyst

Arlington, VA · On-site +1

$62K - $141K/yr

Experience with data exploration, data cleaning, data visualization, and predictive modeling ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Experience with data exploration, data cleaning, data analysis, data visualization, data science ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Experience with data exploration, data cleaning, data analysis, data visualization, data science ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

You Have: * 2+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site +1

$99K - $225K/yr

You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site +1

$69K - $158K/yr

... cleaning, data visualization, or data mining * 5+ years of experience analyzing structured and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

You Have: * 2+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

You Have: * 2+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site +1

$77K - $176K/yr

You Have: * 2+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Chantilly, VA · On-site +1

$77K - $176K/yr

You Have: * 2+ years of experience with data exploration, data pipelines, data cleaning, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

You Have: * 2+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

You Have: * 7+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

You Have: * 3+ years of experience with data exploration, data cleaning, data visualization, or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

You Have: * 3+ years of experience with data exploration, data cleaning, data visualization, or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Data Cleaning information

What is part time data cleaning?

Part time data cleaning involves working on a flexible or reduced schedule to organize, correct, and prepare data for analysis. The main responsibilities include identifying and removing duplicate or inaccurate records, standardizing formats, and ensuring data completeness and reliability. This role is important for businesses and organizations that rely on accurate data for decision-making, but do not require a full-time data specialist. Part time data cleaners may use tools like Excel, Google Sheets, or specialized data cleaning software. The position can be remote or onsite, depending on the employer's needs.

What are the key skills and qualifications needed to thrive as a part time data cleaning professional?

To thrive as a Part Time Data Cleaning professional, you need strong attention to detail, basic data analysis skills, and familiarity with spreadsheet software, often supported by a high school diploma or equivalent. Proficiency with tools like Microsoft Excel, Google Sheets, and sometimes data cleaning platforms such as OpenRefine is typically required. Strong organizational skills, problem-solving abilities, and reliability help individuals excel in this role. These skills ensure that data is accurate, consistent, and ready for analysis, directly impacting the quality of business decisions.

What are some common challenges faced by part time data cleaning professionals, and how can they be effectively managed?

Part-time data cleaning professionals often encounter challenges such as handling large volumes of inconsistent or incomplete data, working within tight deadlines, and understanding the context of unfamiliar datasets. To manage these challenges, it's important to develop strong attention to detail, communicate regularly with data owners or team members for clarifications, and utilize data cleaning tools or scripts to improve efficiency. Establishing a routine for documenting changes and maintaining clear records can also help ensure data quality and consistency, even when working limited hours.

What is the difference between Part Time Data Cleaning vs Part Time Data Entry?

AspectPart Time Data CleaningPart Time Data Entry
Required SkillsAttention to detail, basic data management, familiarity with cleaning toolsTyping speed, accuracy, basic computer skills
Work EnvironmentRemote or office, often involves reviewing and cleaning datasetsRemote or office, involves inputting data into systems
Common CertificationsNone typically required, but familiarity with Excel or data tools helpsNone typically required, basic computer proficiency needed

Part Time Data Cleaning focuses on reviewing and correcting datasets to ensure accuracy, while Part Time Data Entry involves inputting data into systems. Both roles often require basic computer skills and can be performed remotely or in an office setting. Data Cleaning emphasizes accuracy and attention to detail, whereas Data Entry emphasizes speed and typing skills.

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

The most popular types of Data Cleaning jobs in Virginia are:

What are popular job titles related to Part Time Data Cleaning jobs in Virginia?

For Part Time Data Cleaning jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Part Time Data Cleaning jobs in Virginia look for?

The top searched job categories for Part Time Data Cleaning jobs in Virginia are:

Infographic showing various Part Time Data Cleaning job openings in Virginia as of August 2026, with employment types broken down into 100% Part Time. Highlights an 90% In-person, and 10% Remote job distribution.

BOOZ, ALLEN & HAMILTON, INC.
IT Services • 10K+ employees

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants

People enjoy working here

Good employer

Recommended by students


$62K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 19 days ago


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.

Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

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


What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

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