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Data Cleaning Jobs in Reston, VA (NOW HIRING)

Collect, clean, and analyze healthcare data from multiple sources * Create and maintain reports and dashboards using Tableau, Power BI, or Excel * Perform data validation, quality checks, and ...

Responsibilities : • analyzing structured and unstructured data sources • data exploration, data cleaning, data analysis, data visualization, data mining, or AI and ML techniques, including NLP ...

Verifying data accuracy, performing data cleaning, and ensuring consistency across systems. * Reporting and Analysis: Generating reports and extracting insights from data for operational use.

Data Scientist Sr

Reston, VA · On-site

$97K - $164K/yr

Produce data cleaning, basic analysis, and preparation for visualization * Develop dashboards and perform routine data quality checks * Perform data preprocessing, data integration, quality checks ...

Data Scientist Sr

Reston, VA · On-site

$97K - $164K/yr

Produce data cleaning, basic analysis, and preparation for visualization * Develop dashboards and perform routine data quality checks * Perform data preprocessing, data integration, quality checks ...

Data Eng II

Reston, VA · On-site

$79K - $134K/yr

Produce data cleaning, basic analysis, and preparation for visualization * Develop dashboards and perform analysis using AI techniques * Provide data preprocessing, quality checks, data integration ...

... cleaning and data coding. - Merge multiple datasets using advanced functions of Excel and other statistical applications. - Design, conduct, analyze and report on quantitative and qualitative ...

Required : • 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining • 5+ years of experience analyzing structured and unstructured data • ...

Python and Tableau experience. * 7+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 7+ years of experience with analyzing structured and ...

Python and Tableau experience. * 7+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 7+ years of experience with analyzing structured and ...

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Data Cleaning information

How much is paid for data entry?

Data entry jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the employer. Some positions may offer project-based rates or freelance pay rates, which can vary widely. Accurate data entry requires attention to detail and proficiency with tools like spreadsheets or data management software.

What does a data cleaner do?

A data cleaner is responsible for reviewing and correcting data to ensure accuracy, consistency, and completeness. This involves identifying and fixing errors, removing duplicates, and standardizing formats using tools like spreadsheets or data management software. Data cleaning is essential for reliable analysis and decision-making in data-related roles.

What is a Data Cleaning job?

A Data Cleaning job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure high-quality data for analysis. This process includes removing duplicate records, filling in missing values, standardizing formats, and eliminating irrelevant or erroneous data. Data cleaning helps improve data accuracy, reliability, and usability for business intelligence, machine learning, and decision-making. Professionals in this role typically work with databases, spreadsheets, and data management tools to refine raw data into a structured and meaningful format.

What are the key skills and qualifications needed to thrive in the Data Cleaning position, and why are they important?

To thrive in Data Cleaning, you need a strong attention to detail, analytical skills, and a solid understanding of data management practices, often supported by training or coursework in data science, statistics, or information technology. Familiarity with tools like Microsoft Excel, SQL, Python (with libraries such as pandas), or specialized data cleaning software is highly valuable. Excellent problem-solving abilities, persistence, and effective communication are important soft skills for identifying and addressing data inconsistencies while collaborating with other team members. These skills are essential to ensure that datasets are accurate, reliable, and ready for analysis, leading to trustworthy business insights.

How hard is data cleaning?

Data cleaning is a fundamental task for data analysts and data scientists, involving identifying and correcting errors, inconsistencies, and missing values in datasets. The difficulty depends on the complexity and size of the data, as well as the tools used, such as Excel or specialized software like Python or R. Developing skills in data validation and using automation can make the process more efficient.

How to make $2000 a week working from home?

Data cleaning jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $20 to $50 per hour. To reach $2000 weekly, one would need to work approximately 40 to 100 hours at these rates, often requiring strong attention to detail, proficiency with data tools, and consistent effort. Building a client base or working for companies that offer high-volume projects can help achieve higher weekly earnings from home.

What are the most common challenges faced by professionals in data cleaning roles?

One of the biggest challenges in data cleaning is dealing with incomplete, inconsistent, or duplicate data from multiple sources, which often requires creative problem-solving and close attention to detail. Communicating with team members to clarify data definitions and intended use is also a frequent part of the job, as misinterpretations can lead to errors. Additionally, deadlines and large datasets can make the role fast-paced, so strong organizational skills and efficiency are important. However, overcoming these challenges offers valuable experience and plays a crucial role in ensuring the success of projects that depend on high-quality data.

What are the most commonly searched types of Data Cleaning jobs in Reston, VA? The most popular types of Data Cleaning jobs in Reston, VA are:
What are popular job titles related to Data Cleaning jobs in Reston, VA? For Data Cleaning jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Data Cleaning jobs? Cities near Reston, VA with the most Data Cleaning job openings:
Infographic showing various Data Cleaning job openings in Reston, VA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

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Posted 28 days ago


Job description

Data Analyst Healthcare (2 3 Years Experience)

Company: AaraTech Inc

About the Role

AaraTech Inc is seeking a detail-oriented Data Analyst Healthcare (2 3 years experience) to support healthcare reporting, analytics, and data quality initiatives. This role is ideal for early-career professionals who enjoy working with healthcare data, building reports, and delivering insights that support business and operational decision-making.


Key Responsibilities
  • Collect, clean, and analyze healthcare data from multiple sources
  • Create and maintain reports and dashboards using Tableau, Power BI, or Excel
  • Perform data validation, quality checks, and reconciliation
  • Write SQL queries to extract and analyze healthcare data
  • Support KPI tracking, trend analysis, and recurring performance reports
  • Collaborate with business stakeholders to understand reporting needs
  • Document report logic, metrics, and data definitions
  • Assist with ad-hoc analysis and business reviews

Required Qualifications
  • 2 3 years of experience in Data Analysis, Reporting, or a related role
  • Bachelor s degree in Data Analytics, Business, Healthcare Administration, or a related field (or equivalent experience)
  • Working knowledge of SQL
  • Experience with BI tools such as Tableau, Power BI, or Looker
  • Strong Excel skills (pivot tables, formulas, charts)
  • Understanding of data cleaning, validation, and basic analytics
  • Strong attention to detail and communication skills

Skills

Healthcare Data Analysis, SQL, Tableau, Power BI, Excel (Pivot Tables, Advanced Formulas), Data Cleaning, Data Validation, Data Quality, KPI Reporting, Dashboard Development, Trend Analysis, Healthcare Metrics, Documentation, Stakeholder Communication


Why Join AaraTech Inc?
  • Hands-on healthcare analytics experience
  • Career growth opportunities
  • Mentorship and training programs
  • Flexible and remote-friendly work environment