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Remote Entry Level Data Analyst Jobs in Silver Spring, MD

Remote-first work environment * Collaborative team partnering with data, engineering, and business stakeholders * Opportunity to work with healthcare data and enterprise data governance initiatives

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0242764 Location: Alexandria,VA,US Share job via: Share Data Scientist ... On our team, you'll use your analytical skills and data science knowledge to create real-world ...

Analyst

Washington, DC · On-site +1

The ideal candidate will combine strong analytical abilities with expertise in data management ... Familiarity with virtual meeting platforms and remote collaboration tools * Experience with event ...

Analyst

Washington, DC · On-site +1

The ideal candidate will combine strong analytical abilities with expertise in data management ... Familiarity with virtual meeting platforms and remote collaboration tools * Experience with event ...

Public Health Analyst

Vienna, VA · Remote

$60K - $75K/yr

This role is 100% remote. Responsibilities: * Perform routine data management tasks (data cleaning, data processing, merging data files). * Perform complex and advanced statistical analyses. Prepare ...

The Analyst works with both data and internal stakeholders to ensure analytical outputs are accurate, clearly communicated, and aligned with established measurement approaches. Supervisory ...

Position Title Chargemaster Analyst - Remote! Summary Join our team in person, hybrid schedule or ... The role of the Chargemaster Analyst has several components including routine data validation ...

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0236797 Location: McLean,VA,US Share job via: Share Data Scientist The ... Experience analyzing structured and unstructured data * Experience with statistical and general ...

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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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Compensation Analyst - Remote

Compensation Analyst - Remote

DCI Consulting Group Inc

Washington, DC • Remote

Full-time

Re-posted 6 days ago


Job description

Salary: $75,000 - $95,000

Position: Compensation Analyst - Remote


Location: Remote
Department: Employment and Litigation Services (ELS)
Experience Level: Mid-level (minimum 3 years of experience)

Salary Range: $75,000- $90,000


About DCI:

DCI Consulting Group is a leading Human Resources (HR) risk management and workforce analytics firm that helps organizations solve their most complex human resource challenges through a data-driven, research-based approach.

Our experienced consultants partner with clients to address organizational needs holistically, utilizing best practices in human resources, industrial-organizational psychology, and labor economics to promote workplace equity and mitigate risk.


Our Clients:

DCI Consulting Group proudly serves a broad spectrum of clients across multiple sectors, including private sector employers, federal agencies and contractors, public sector organizations, non-profits, and national law firms.


Top Client Initiatives DCI Supports:

Employee selection procedure development and validation research, pay equity and other EEO analytics, compensation consulting, workplace compliance, nondiscrimination reporting, and litigation support as testifying and consulting experts.


About the Job:

DCI Consulting Group is seeking a Compensation Analyst to join our Employment & Litigation Support (ELS) Division. In this role, you will work alongside industry-leading experts in a fast-paced consulting environment to help organizations build equitable and competitive compensation programs that align with legal standards and business strategy.

This position is ideal for mid-career compensation professionals with demonstrated consulting experience and a genuine desire to support clients across a variety of industries.


Responsibilities:

  • Conduct market benchmarking using survey data platforms and publicly available sources
  • Assist in the design and assessment of job architecture, salary structures, and pay ranges
  • Review job descriptions to align positions within leveling frameworks
  • Gather, scrub, and organize compensation data, ensuring data quality and accuracy
  • Analyze market trends and pay equity data to support client recommendations
  • Support statistical analyses to inform compensation design decisions
  • Help ensure compliance with compensation-related regulations (e.g., EEO, FLSA)
  • Prepare clear, concise summaries and visuals for internal and client-facing presentations and reports
  • Support compensation project management and cycle planning tasks
  • Communicate proactively with clients and teammates on deliverables and project initiatives


Required Skills and Qualifications:

  • Bachelor's degree in HR, Business, or related field
  • Minimum 3 years of experience in compensation, HR analytics, or related role
  • Minimum 2 years of experience working in a consulting firm or professional services environment
  • Understanding of compensation fundamentals (e.g., job evaluation, benchmarking, pay equity, and market pricing)
  • Demonstrated proficiency benchmarking positions against public and private sector market data using both publicly available and privately held survey sources (e.g., Mercer, Willis Towers Watson, ERI, Salary.com)
  • Advanced Excel skills (e.g., pivot tables, VLOOKUP/HLOOKUP/XLOOKUP, IF statements, INDEX/MATCH, SUMIFS/AVERAGEIFS/COUNTIFS, and data modeling), with demonstrated experience in data quality assurance (QA)
  • Strong computer skills in MS Suite (e.g., Word, Access, PowerPoint, Outlook, 365, Teams)
  • Strong attention to detail with the ability to manage multiple workstreams within tight deadlines
  • Strong written and verbal communication skills, with a demonstrated ability to proactively engaged teammates and clients on deliverables and project initiatives.
  • Familiarity with compensation-related regulations and compliance requirements, including EEO and FLSA
  • Ability to thrive in a remote, fast-paced consulting environment as a member of a team and with significant autonomy, self-discipline, and organization skills


Preferred Experience:

  • Familiarity with statistical concepts or tools supporting compensation analysis (e.g., regression, distribution analysis)
  • Familiarity with artificial intelligence in work products
  • Familiarity with executive or sales compensation
  • Total rewards knowledge, particularly benefits benchmarking
  • Exposure to compensation work in multiple sectors, including nonprofit, private sector, public sector, and/or higher education settings