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Statistical Analyst Remote Jobs in Washington (NOW HIRING)

DCI Consulting

Compensation Analyst - Remote

Washington, DC · Remote

$75K - $90K/yr

Remote Department: Employment and Litigation Services (ELS) Experience Level: Mid-level (minimum 3 ... Support statistical analyses to inform compensation design decisions * Help ensure compliance with ...

micro1 AI

Director of Biostatistics

Alexandria, VA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

micro1 AI

Director of Biostatistics

Washington, DC · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

Booz Allen Hamilton, Inc.

Cost Analyst, Lead

Washington, DC · On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0246751 Location: Washington,DC,US Share job via: Share Cost ... You'll help shape data-driven strategies using methods such as statistical analysis, cost-benefit ...

Booz Allen Hamilton, Inc.

Cost Analyst

Washington, DC · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0245429 Location: Washington,DC,US Share job via: Share Cost ... You'll help shape data-driven strategies using methods, such as statistical analysis, cost-benefit ...

Moore

Data Analyst

Lanham, MD · Remote

Experience with statistical analysis methods and concepts like randomized controlled trials ... remote

CPMC LLC

Data Analyst

Tysons Corner, VA · Remote

Capital Area Work Location: 100% Remote Telework (U.S.-based) Employment Type: Full-Time / W-2 ... Bachelor's degree in Data Analytics, Statistics, Information Systems, Business, or a related field.

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All JobsStatistical Analyst JobsStatistical Analyst Remote JobsStatistical Analyst Remote Jobs in Washington

Statistical Analyst Remote information

What does a statistical analyst do when working remotely?

A Statistical Analyst working remotely uses statistical methods and software to collect, analyze, and interpret data from various sources. They often work with large datasets to identify trends, create reports, and support decision-making for organizations. Remote Statistical Analysts collaborate with teams through digital communication tools, ensuring that insights are effectively communicated even when not on-site. Their responsibilities may include designing experiments, validating data quality, and presenting findings to stakeholders.

What are the key skills and qualifications needed to thrive as a statistical analyst in a remote role?

To thrive as a Statistical Analyst in a remote role, you need a strong background in statistics, data analysis, and a relevant degree such as mathematics, statistics, or data science. Familiarity with statistical software like R, SAS, Python, and experience with data visualization tools and databases are highly valued, along with certifications such as SAS Certified Statistical Business Analyst. Strong problem-solving skills, attention to detail, and effective written and verbal communication are essential for collaborating virtually and presenting insights. These skills and qualities are crucial to accurately interpret data, provide actionable recommendations, and ensure seamless teamwork in a remote environment.

What are some typical challenges faced by remote statistical analysts, and how can they be addressed?

Remote statistical analysts often encounter challenges such as limited face-to-face collaboration, maintaining data security, and ensuring clear communication with cross-functional teams. To address these issues, it's important to leverage secure data-sharing platforms, establish regular check-ins with colleagues, and use collaboration tools to stay connected. Building strong relationships with team members and proactively clarifying project requirements can also help ensure smooth workflow and project success.

What is the difference between Statistical Analyst Remote vs Data Analyst Remote?

AspectStatistical Analyst RemoteData Analyst Remote
Required CredentialsBachelor's in Statistics, Mathematics, or related field; proficiency in statistical softwareBachelor's in Data Science, Analytics, or related; strong Excel and SQL skills
Work EnvironmentRemote, often collaborative with teams on data modeling and analysisRemote, focused on data collection, cleaning, and reporting
Employer & Industry UsageFinancial, healthcare, research institutionsMarketing, e-commerce, tech companies
Common Search & ComparisonYesYes

Both roles involve analyzing data, but Statistical Analysts focus more on advanced statistical modeling and hypothesis testing, often requiring specialized statistical software. Data Analysts typically handle data collection, cleaning, and reporting, with a broader focus on business insights. While both can be remote, their industry applications and skill sets differ slightly, making this comparison useful for job seekers evaluating similar remote roles.

What are the most commonly searched types of Statistical Analyst jobs in Washington?

The most popular types of Statistical Analyst jobs in Washington are:

What are popular job titles related to Statistical Analyst Remote jobs in Washington?

For Statistical Analyst Remote jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Statistical Analyst Remote jobs in Washington look for?

The top searched job categories for Statistical Analyst Remote jobs in Washington are:

What cities in Washington are hiring for Statistical Analyst Remote jobs?

Cities in Washington with the most Statistical Analyst Remote job openings:

Statistical Analyst Remote jobs near you

Compensation Analyst - Remote

Washington, DC • On-site, Remote

DCI Consulting Group
Human Resources Consulting Services • 11 - 50 employees
Learn more about DCI Consulting Groupexternal

$75K - $95K/yr

Full-time

Re-posted 16 days ago

Job description

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

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