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Remote Entry Level Data Analyst Jobs in Virginia

Alpha Omega Integration

Public Health Analyst

Vienna, VA · Remote

$57K - $70K/yr

Remote Alpha Omega is looking for a Public Health Analyst with very strong data management and analysis skills to work with the Centers for Disease Control (CDC) HIV Prevention Capacity Development ...

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How much do remote entry level data analyst jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote entry level data analyst in Virginia is $32.64, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $36.44 per hour, depending on experience, location, and employer.

How to get a job as a data analyst with no experience?

To secure an entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Gain practical experience by working on personal projects, volunteering, or participating in internships to demonstrate your ability to analyze data and communicate insights effectively.

What does a typical day look like for a Remote Entry Level Data Analyst?

A typical day as a Remote Entry Level Data Analyst often involves cleaning and organizing datasets, generating basic reports, and collaborating with team members through virtual meetings and communication platforms. You might use spreadsheet software or data visualization tools to identify trends and present findings to your supervisor or project stakeholders. Regular tasks also include responding to ad-hoc requests for data and assisting more senior analysts on larger projects. Since you’re working remotely, maintaining clear communication and managing your time independently are crucial for staying aligned with your team’s goals.

What is a Remote Entry Level Data Analyst job?

A Remote Entry Level Data Analyst is a professional who works from a remote location to collect, process, and analyze data to help businesses make informed decisions. They use tools like Excel, SQL, and Python to identify trends, create reports, and support decision-making. Since this is an entry-level role, it typically requires basic data analysis skills and may involve working under the guidance of experienced analysts. Strong communication and problem-solving skills are essential for translating data insights into actionable business strategies.

How to make $2000 a week working from home?

A remote entry-level data analyst can increase earnings by gaining skills in data visualization, SQL, and Excel, and by taking on multiple freelance or contract projects. Earning $2000 weekly typically requires working full-time hours, building a strong portfolio, and possibly obtaining relevant certifications to attract higher-paying opportunities.

Is it possible to get a remote job as a data analyst?

Yes, remote entry-level data analyst positions are widely available, especially as many companies adopt flexible work arrangements. These roles typically require skills in data visualization, SQL, and Excel, and often involve using tools like Tableau or Power BI. Candidates should have a basic understanding of data analysis concepts and may need to demonstrate proficiency through assessments or certifications.

What are the key skills and qualifications needed to thrive in the Remote Entry Level Data Analyst position, and why are they important?

To thrive as a Remote Entry Level Data Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency with spreadsheet and data visualization tools—often supported by a degree in a related field such as mathematics or computer science. Familiarity with programming languages like SQL or Python and experience using analytics platforms like Excel, Tableau, or Google Data Studio are commonly required. Strong attention to detail, effective communication, and self-motivation are key soft skills for remote collaboration and successful project delivery. These skills are essential for accurately interpreting data, sharing actionable insights, and contributing to team objectives in a distributed work environment.

How to make $1000 a week remote?

A remote entry-level data analyst can aim to earn $1000 weekly by working multiple part-time or freelance projects, leveraging skills in Excel, SQL, or data visualization tools. Building a strong portfolio, obtaining relevant certifications, and applying to multiple clients or companies can increase earning potential, especially when working consistently and efficiently.
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Remote Entry Level Data Analyst jobs near you
Business Analyst (Fraud Analytics & Investigative Support)

Business Analyst (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA • On-site, Remote

Full-time

Retirement, PTO

Posted 18 days ago

Job description

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust
Position Overview
Praescient Analytics is seeking an experienced Business Analyst to support advanced fraud analytics and investigative initiatives for a federal oversight organization. This individual will serve as the bridge between Government stakeholders and multidisciplinary technical teams by gathering requirements, documenting investigative and analytical use cases, and translating mission objectives into actionable technical requirements.
Working closely with Project Managers, Data Scientists, Data Engineers, Investigative Analysts, Forensic Accountants, and Government stakeholders, the Business Analyst will ensure analytical solutions align with operational priorities, support fraud detection and program integrity objectives, and deliver meaningful value to investigators and oversight organizations.
The ideal candidate combines strong business analysis skills with an understanding of data analytics, investigative workflows, and Agile delivery practices. They are comfortable engaging both technical and non-technical audiences and enjoy transforming complex mission needs into clear, well-defined requirements that enable successful solution delivery.
Key Responsibilities
  • Collaborate with Government stakeholders to elicit, analyze, document, and validate business, functional, and analytical requirements.
  • Translate fraud detection, investigative, oversight, and program integrity objectives into user stories, acceptance criteria, business requirements, and technical artifacts.
  • Support development and refinement of analytic use cases that leverage data science, machine learning, artificial intelligence (AI), graph analytics, dashboards, and investigative reporting.
  • Facilitate requirements workshops, stakeholder meetings, backlog refinement sessions, sprint planning activities, demonstrations, and solution reviews.
  • Document business processes, workflows, data flows, process improvements, and operational concepts supporting fraud analytics initiatives.
  • Work closely with Data Scientists, Data Engineers, Graph Data Scientists, Investigative Analysts, and Forensic Accountants to clarify requirements and ensure technical solutions align with mission objectives.
  • Maintain requirements traceability throughout the project lifecycle and verify delivered capabilities satisfy stakeholder expectations.
  • Prepare project documentation, meeting summaries, decision logs, implementation plans, status reports, briefing materials, and stakeholder-ready deliverables.
  • Support quality assurance activities by reviewing deliverables for completeness, consistency, and alignment with documented requirements.
  • Assist in evaluating data sources, analytical capabilities, commercial tools, and technology solutions that support fraud detection and investigative missions.

Required Qualifications
  • Three (3) or more years of experience as a Business Analyst, Product Analyst, Requirements Analyst, Data Analyst, or similar role supporting analytics, data-driven solutions, or government technology programs.
  • Must have experience with Fraud Analysis
  • Experience gathering, documenting, and managing business and functional requirements for technical or analytical solutions.
  • Experience developing user stories, acceptance criteria, business process documentation, workflows, and other project artifacts.
  • Experience supporting Agile software development or analytics teams through sprint planning, backlog management, demonstrations, and iterative solution delivery.
  • Strong organizational skills with the ability to manage multiple priorities while coordinating across technical and business stakeholders.
  • Excellent written and verbal communication skills, including the ability to communicate complex analytical concepts to both technical and non-technical audiences.
  • Strong analytical thinking, problem-solving, and facilitation skills.

Preferred Qualifications
Preference will be given to candidates with demonstrated experience in one or more of the following areas:
  • Supporting fraud detection, fraud prevention, financial crimes, program integrity, investigative support, or government oversight initiatives.
  • Working with federal benefit programs, grants, loans, healthcare, unemployment insurance, emergency assistance, disaster relief, or other large-scale public-sector programs.
  • Collaborating with Offices of Inspector General (OIGs), law enforcement organizations, auditors, investigators, or government oversight stakeholders.
  • Supporting multidisciplinary delivery teams that include Data Scientists, Data Engineers, Investigative Analysts, Forensic Accountants, and Project Managers.
  • Working with analytics, business intelligence, machine learning, artificial intelligence (AI), graph analytics, dashboards, or data visualization projects.
  • Understanding data sources, data quality, ETL processes, cloud analytics environments, and enterprise data management concepts.
  • Utilizing collaboration and project management tools such as Jira, Azure DevOps, Confluence, Microsoft Teams, SharePoint, Power BI, SQL, or comparable platforms.
  • Supporting enterprise data governance, data privacy, information sensitivity, and secure handling of government or investigative information.
  • Preparing executive briefings, requirements documentation, implementation plans, process flows, and stakeholder-facing communications for Government customers.

What We're Looking For
We're looking for a Business Analyst who enjoys bringing people, data, and technology together to solve complex mission challenges. The ideal candidate is equally comfortable facilitating discussions with Government stakeholders, collaborating with technical teams, and documenting requirements that enable innovative fraud analytics solutions. They are curious, organized, and mission-focused, with the ability to translate investigative and operational needs into actionable work that helps protect the integrity of federal programs.
What you can expect from us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.
Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescient's employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

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