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Remote Entry Level Data Analyst Jobs in Silver Spring, MD

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract We are seeking an experienced contractor to support advanced data development ...

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract We are seeking an experienced contractor to support advanced data development ...

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract We are seeking an experienced contractor to support advanced data development ...

Remote We are seeking a skilled MongoDB Analyst to manage, analyze, and optimize large-scale NoSQL databases. The ideal candidate will be responsible for designing data models, ensuring data ...

Senior Digital Analyst

Washington, DC · On-site +1

$120K - $170K/yr

This position will report to Paul Koch, Head of Data. This position can be based in our Washington, DC Headquarters office or remote. Core Responsibilities * Conduct rigorous, accurate analyses of ...

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Remote Entry Level Data Analyst information

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

As of Jul 18, 2026, the average hourly pay for remote entry level data analyst in Silver Spring, MD is $34.04, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $38.03 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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Healthcare Data Strategy & Insights Analyst (DoD Secret | Remote)

Healthcare Data Strategy & Insights Analyst (DoD Secret | Remote)

Rackner

Washington, DC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Healthcare Data Strategy & Insights Analyst (DoD Secret | Remote)

Location: Remote (U.S.-Based)
Clearance: Active DoD Secret Clearance (or higher)

Make an Impact on Military Healthcare and Readiness

This role supports a federal healthcare environment focused on improving how data is integrated, understood, and used to support operational and leadership decision-making. You'll work closely with program stakeholders, domain experts, and technical teams to clarify data needs, validate integrated datasets, and turn information into insights leaders can trust.

This is a business-facing analytics role. The work goes beyond reporting; you'll help define requirements, sense-check data from a real-world perspective, and build dashboards that support decisions in a complex, regulated healthcare setting.

If you enjoy translating business questions into data, partnering closely with stakeholders, and delivering analytics that actually get used, this role is designed for you.

What You'll Do

Stakeholder Engagement & Requirements

  • Partner with program managers, domain experts, and end users to gather and clarify business and functional data requirements.
  • Document requirements, data definitions, and business rules so technical teams understand what is needed and why.
  • Translate stakeholder needs into clear deliverables such as requirements documentation, user stories, and acceptance criteria.
  • Revisit and refine requirements as priorities or feedback evolve.

Process Analysis & Operational Improvement

  • Review existing data workflows and business processes to identify inefficiencies, delays, or manual workarounds.
  • Help shape improvements that streamline operations and improve data availability and usability.
  • Ensure analytics and reporting align with how the organization actually operates.

Analytics, Reporting & Visualization

  • Analyze integrated datasets to produce insights that support operational and leadership decisions.
  • Build and maintain dashboards and reports using Tableau or Qlik, with a focus on clarity and usability.
  • Write and validate SQL queries to support analysis, reporting logic, and data verification.
  • Ensure metrics are well-defined, accurate, and consistent across reports.

Data Validation & Quality (Business Perspective)

  • Work with technical and QA teams to confirm data outputs meet business expectations.
  • Perform high-level validation to ensure results make sense in context, not just technically.
  • Help identify gaps, inconsistencies, or definition issues before data is delivered to stakeholders.

Documentation & Communication

  • Create and maintain documentation including requirements specifications, data dictionaries, and report user guides.
  • Communicate findings clearly to non-technical audiences, translating data into practical insight.

What We're Looking For

Required

  • Experience in data analysis, business analysis, or analytics roles within complex or regulated environments.
  • Strong stakeholder engagement and requirements gathering skills.
  • Solid SQL experience for querying, validating, and analyzing data.
  • Hands-on experience with Tableau or Qlik (or comparable BI tools).
  • Ability to explain data findings clearly to both technical and non-technical audiences.

Preferred

  • Experience working with healthcare or federal data environments.
  • Familiarity with healthcare data standards or models (e.g., HL7/FHIR, OMOP), even at a conceptual level.
  • Experience using Excel and/or Python (pandas) for deeper or ad hoc analysis.
  • Understanding of data privacy and compliance considerations in regulated settings.

Why This Role Stands Out

  • You'll work on high-visibility analytics that inform real operational and leadership decisions.
  • You'll operate in a true bridge role, shaping requirements and validating outcomes — not just consuming tickets.
  • The work supports a real federal healthcare mission with tangible impact.
  • Ideal for analysts who want influence and responsibility without stepping away from hands-on work.

Benefits & Perks

  • Weekly pay with full remote flexibility
  • Professional growth investment, including paid certifications and training
  • Comprehensive benefits package, including:
    • Medical, dental, and vision coverage
    • 401(k) with 100% company match up to 6%
    • Paid time off (PTO)
    • Life and disability insurance
  • Home office equipment plan
  • A supportive, inclusive team culture focused on collaboration, trust, and mission impact

About Rackner

Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector.
We enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation.
Our teams solve high-impact problems that advance federal missions and strengthen national readiness. Join us to help shape the future of secure, scalable data systems supporting mission success.


Hashtags

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