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Remote Ten Key Data Entry Jobs in Washington (NOW HIRING)

Thinkbrg

Billing Specialist (Legal)

Washington, DC · Remote

$58K - $85K/yr

Data entry, editing, customizing, and processing of Client invoices in accordance with contracts ... Strong skillsets of 10 key, Word, Excel, and Outlook. * Workday or Elite 3E experience.

Red Carrot

Project Director

Washington, DC · On-site +1

Remote | 10% Travel to Washington, DC This position is contingent upon contract award. ABOUT THE ... KEY RESPONSIBILITIES * Lead development of effective project plans and oversee daily contract ...

Red Carrot

Project Director

Washington, DC · Remote

Remote | 10% Travel to Washington, DC This position is contingent upon contract award. ABOUT THE ... KEY RESPONSIBILITIES * Lead development of effective project plans and oversee daily contract ...

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All JobsTen Key Data Entry JobsRemote Ten Key Data Entry JobsRemote Ten Key Data Entry Jobs in Washington

Remote Ten Key Data Entry information

What are the key skills and qualifications needed to thrive as a Remote Ten Key Data Entry Operator, and why are they important?

To thrive as a Remote Ten Key Data Entry Operator, you need excellent numerical data entry skills, fast and accurate ten-key typing ability, and a high school diploma or equivalent. Familiarity with office software such as Microsoft Excel, data management systems, and sometimes experience with specific accounting or inventory platforms is typical. Attention to detail, time management, and the ability to work independently are critical soft skills for this role. These competencies ensure error-free data processing, efficient workflow, and reliability in a remote work environment.

What is a Remote Ten Key Data Entry job?

A Remote Ten Key Data Entry job involves entering numerical information into databases or spreadsheets using a numeric keypad, typically found on a computer keyboard or external device. The work is performed remotely, allowing employees to complete tasks from home or another location outside of a traditional office. Accuracy and speed are essential, as the role often includes processing invoices, financial records, or other numeric data. Remote Ten Key Data Entry professionals usually work for companies in industries such as finance, healthcare, or retail. Strong attention to detail and proficiency with data entry software are important skills for this position.

What is the difference between Remote Ten Key Data Entry vs Remote Data Entry Clerk?

AspectRemote Ten Key Data EntryRemote Data Entry Clerk
CredentialsBasic data entry skills, familiarity with ten key padBasic data entry skills, possibly some software knowledge
Work EnvironmentHome or remote office, computer-basedHome or remote office, computer-based
Employer & IndustryBusinesses needing numeric data input, finance, healthcareVarious industries requiring data input, admin, healthcare
Search & Comparison IntentPeople comparing numeric data entry rolesPeople looking for general data entry jobs

Remote Ten Key Data Entry focuses specifically on numeric keypad input, often requiring speed and accuracy with numbers. Remote Data Entry Clerk covers a broader range of data input tasks, including alphanumeric data. Both roles are remote, but the Ten Key Data Entry emphasizes numeric skills, making it ideal for roles in finance or healthcare where numeric accuracy is critical.

What are some common challenges faced in a remote ten key data entry role, and how can they be managed?

Remote ten key data entry professionals often face challenges such as maintaining accuracy during repetitive tasks and managing distractions at home. Staying focused and setting up a dedicated workspace can help minimize errors and improve productivity. Additionally, regularly double-checking work and using ergonomic equipment can reduce fatigue and prevent mistakes. Communication with supervisors and team members is also important to clarify expectations and ensure data integrity.
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Remote Ten Key Data Entry jobs near you
Data Scientist (Vantage) - Clearance Required

Data Scientist (Vantage) - Clearance Required

Logistics Management Institute

Crystal City, VA • On-site, Remote

Full-time

Posted 29 days ago

Job description

LMI is seeking a Data Scientist to assist with Army data model, pipeline, and visualization development. This Data Scientist will create data models working from mock visualizations and raw data inputs; leverage python, PySpark, Foundry, and code repositories to develop an architecture plan; extract, transform, and load data into Vantage; and use Vantage workshops to develop visualizations. Active Secret clearance required.

Location: Hybrid; at least 3 days on client site in Crystal City VA or Aberdeen MD. Open to Remote

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.


Core Responsibilities:  

  • Data Engineering: Extract, transform, and load data using big data platforms like Palantir Foundry, loading data into data visualizations, transforming data using python and low code data pipeline building tools. 
  • Workflow Development: Build low-code no-code applications that allow end users to see real-time readiness dashboards. 
  • Data Integration: Automate and clean the ingestion of data from legacy systems so it’s useful for decision-making. 
  • Predictive Analytics: Create models to forecast equipment failures, personnel shortages, or budget overruns. 
  • PI Planning: Help with feature writing, task decomposition, acceptance criteria, user stories, and processes for extracting dependencies from descriptive models. 
  • Ad-Hoc Reporting: Quickly answer critical information requirements by pulling data across different domains, ability to gather customer requirements and deliver a comprehensive statistical analysis to answer their questions.  

General Responsibilities: 

  • Support project management over data activities to ensure timely delivery in a reactive and agile environment. 
  • Engage technical and functional program SMEs, and key data stakeholders to understand business processes, analytical requirements, key data elements, data protection guidelines, etc. 
  • Define and develop techniques to integrate, consolidate, and structure data for analytical use. 
  • Create data pipelines in python, going from raw data to data products needed for visualization or other analytics products.  
  • Understand and analyze complex and organization-specific datasets. 
  • Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools. 
  • Propose alternative designs and processes to manage various types of data using both standard and custom tables and fields. 
  • Provide recommendations for improvements in data strategies to include changes to governance, stewardship, integration, and standardization. 

Qualifications:  

  • Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline preferred. Relevant experience considered in lieu of a degree. 
  • Active DoD Secret clearance required. Must have at a minimum, an Interim Secret Clearance. 
  • 10 years of experience with Python, and strong experience with PySpark or similar big data libraries. 
  • Knowledge of Army Vantage and data environment standardization. 
  • Experience working with data analysis tools including object-oriented programming (Python, Java, SQL, TypeScript), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn). 
  • Experience developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions 
  • Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, or d3.js to communicate findings and relate them back to how insights create business impact

Apply