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Research Data Analyst Jobs (NOW HIRING)

The Research & Data Analyst will serve as a key source of market and business intelligence for CompoSecure's marketing and commercial teams. This role is responsible for transforming raw data into ...

Role Description We are seeking a Research Data Analyst to join our team. This is an analysis-first role embedded with our data science and research personnel: you will design, run, and interpret ...

Position Summary The Data Analyst will assist with the management, integration, analysis, and visualization of complex research datasets generated across multiple translational research studies and ...

Role Description We are seeking a Research Data Analyst to join our team. This is an analysis-first role embedded with our data science and research personnel: you will design, run, and interpret ...

Research & Data Analyst

Somerset, NJ · On-site

$85K - $100K/yr

The Research & Data Analyst will serve as a key source of market and business intelligence for CompoSecure's marketing and commercial teams. This role is responsible for transforming raw data into ...

Role Description We are seeking a Research Data Analyst to join our team. This is an analysis-first role embedded with our data science and research personnel: you will design, run, and interpret ...

The Research & Data Analyst will provide key market and business intelligence to support strategic decision-making through market research, operational analytics, and financial modeling.

Research & Data Analyst

Somerset, NJ · On-site

$85K - $100K/yr

The Research & Data Analyst will serve as a key source of market and business intelligence for CompoSecure's marketing and commercial teams. This role is responsible for transforming raw data into ...

As the Research & Data Analyst , you'll build and deliver the research behind those decisions. You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI ...

As the Research & Data Analyst , you'll build and deliver the research behind those decisions. You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI ...

Your mission is to support the Director of Institutional Research with quantitative analysis and reporting. Your Responsibilities * Design, implement, and execute data collection strategies to ...

Your mission is to support the Director of Institutional Research with quantitative analysis and reporting. Your Responsibilities * Design, implement, and execute data collection strategies to ...

Your mission is to support the Director of Institutional Research with quantitative analysis and reporting. Your Responsibilities * Design, implement, and execute data collection strategies to ...

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Research Data Analyst information

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How much do research data analyst jobs pay per year?

As of Jul 18, 2026, the average yearly pay for research data analyst in the United States is $73,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What does a data research analyst do?

A data research analyst collects, analyzes, and interprets large datasets to identify trends and support decision-making. They use statistical tools and software such as Excel, SQL, or Python, and often work closely with other teams to provide actionable insights based on data findings.

What are some common challenges Research Data Analysts face when working with large datasets, and how are they addressed?

Research Data Analysts often encounter challenges such as data inconsistencies, missing values, and integrating data from multiple sources when working with large datasets. Addressing these challenges typically involves implementing rigorous data cleaning protocols, utilizing statistical software for data validation, and collaborating closely with research teams to understand the context behind the data. Analysts may also create documentation and standardized procedures to streamline future data processing and ensure data integrity. Staying updated with best practices in data management can help mitigate many of these issues.

Do research analysts get paid well?

Research Data Analysts typically earn competitive salaries that vary based on experience, education, and industry. Entry-level positions may start around $50,000 annually, while experienced analysts can earn over $80,000 or more, especially with specialized skills in data analysis tools like SQL or Python. Compensation also depends on the organization and geographic location.

What is the difference between Research Data Analyst vs Data Scientist?

AspectResearch Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, statistics, or related field; often certifications in data toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or training
Work EnvironmentResearch institutions, universities, or corporate research divisionsTech companies, finance, healthcare, or any industry leveraging big data
Employer & Industry UsageAcademic, government, and research organizationsPrivate sector, startups, and large corporations

Research Data Analysts focus on analyzing data to support research projects, often working within academic or research settings. Data Scientists have a broader scope, including building predictive models and advanced analytics across various industries. While both roles require strong analytical skills and familiarity with data tools, Data Scientists typically have more advanced technical expertise and work on complex data modeling tasks.

What are the key skills and qualifications needed to thrive as a Research Data Analyst, and why are they important?

To excel as a Research Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with statistical software (e.g., R, SAS, SPSS), data visualization tools (like Tableau or Power BI), and programming languages (such as Python) is typically required. Attention to detail, critical thinking, and the ability to clearly communicate complex findings are crucial soft skills. These competencies ensure accurate data interpretation, effective collaboration with research teams, and impactful decision-making based on reliable insights.

Is 40 too late for data science?

A Research Data Analyst or similar data science roles do not have an age limit; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience, regardless of age.

What is a Research Data Analyst?

A Research Data Analyst is a professional who collects, processes, and analyzes data to support research projects across various fields, such as healthcare, social sciences, or business. They use statistical tools and programming languages to interpret complex data sets and help researchers draw meaningful conclusions. Their responsibilities often include data cleaning, statistical analysis, and visualization of results for reports or publications. Research Data Analysts play a crucial role in ensuring the quality and integrity of the data used in research studies.

Will AI replace research analysts?

Research Data Analysts perform data collection, analysis, and interpretation, and AI tools can automate routine tasks such as data processing and reporting. However, human judgment, critical thinking, and domain expertise remain essential for complex analysis and decision-making, making full replacement unlikely in the near term.
More about Research Data Analyst jobs
What cities are hiring for Research Data Analyst jobs? Cities with the most Research Data Analyst job openings:
What are the most commonly searched types of Research Data Analyst jobs? The most popular types of Research Data Analyst jobs are:
What states have the most Research Data Analyst jobs? States with the most job openings for Research Data Analyst jobs include:
Infographic showing various Research Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $73,965 per year, or $35.6 per hour.
Research & Data Analyst

Research & Data Analyst

CompoSecure

Somerset, NJ

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Job description

Position Overview:

The Research & Data Analyst will serve as a key source of market and business intelligence for CompoSecure's marketing and commercial teams. This role is responsible for transforming raw data into actionable insight - supporting strategic decision-making through rigorous market research, operational analytics, and financial modeling. From building ROI tools that win client confidence to tracking pipeline health and industry trends, this person will help ensure CompoSecure stays ahead of the market and operates with clarity and precision.

Key Responsibilities:

ROI Modeling & Financial Tools

  • Design, build, and maintain ROI calculators and financial modeling tools that quantify the value of CompoSecure's products and programs for prospective and existing clients
  • Partner with sales and marketing teams to customize ROI models for specific client segments, use cases, and verticals - ensuring outputs are compelling, accurate, and easy to present
  • Continuously refine assumptions and inputs based on updated performance data, client feedback, and market benchmarks

Pipeline & Backlog Tracking

  • Own the reporting and analysis of sales pipeline and order backlog, providing regular updates to commercial and marketing leadership on volume, velocity, and mix
  • Identify patterns and anomalies in pipeline data that signal risk or opportunity, and surface findings with clear, actionable recommendations
  • Maintain data accuracy and consistency across pipeline reporting tools, ensuring alignment between CRM data and financial projections

Go-Get Tracking

  • Build and manage a go-get tracking framework that monitors progress against revenue and growth targets on a rolling basis
  • Develop clear visualizations and scorecards that allow sales and marketing teams to quickly assess gap-to-goal and prioritize pursuit activity
  • Provide regular cadence reporting to leadership with commentary on performance drivers, risks, and recommended actions

Market Analysis

  • Conduct in-depth market analyses including sizing, segmentation, share estimation, and growth opportunity assessments across CompoSecure's core and adjacent markets
  • Synthesize data from multiple sources - including third-party research, public filings, and internal datasets - to build a comprehensive and current view of the competitive landscape
  • Support strategic planning, new business development, and investor communications with well-structured, data-backed market narratives

Industry Trends & Research

  • Monitor and report on key trends shaping the financial card, payments, and fintech industries - including regulatory developments, technology shifts, and consumer behavior changes
  • Produce regular trend briefings and research summaries for marketing, product, and executive leadership to inform strategy and positioning
  • Establish and maintain a library of industry research, reports, and data sources that serve as a shared intelligence resource across the organization

Forecast Support

  • Provide analytical support for the revenue and demand forecasting process, contributing market context, historical trend analysis, and scenario modeling
  • Partner with finance and commercial teams during forecasting cycles to validate assumptions, stress-test projections, and present findings clearly

Salesforce (SFDC) Support

  • Serve as a data and reporting resource within Salesforce, building and maintaining custom reports, dashboards, and data views that support marketing and sales decision-making
  • Ensure the integrity and accuracy of key data fields within SFDC, partnering with sales operations to identify and resolve data quality issues
  • Support the integration of SFDC data with other analytics tools and sources to enable a unified view of marketing and commercial performance

Qualifications:

  • 3–6 years of experience in a data analytics, market research, or business intelligence role, ideally within financial services, fintech, or a B2B technology environment
  • Strong proficiency in data analysis and visualization tools such as Excel, Tableau, Power BI, or equivalent platforms
  • Demonstrated ability to build financial models, ROI frameworks, and scenario analyses from the ground up
  • Excellent research skills with experience synthesizing complex, multi-source data into clear executive-ready narratives
  • High attention to detail and a commitment to data accuracy and analytical rigor
  • Strong written and verbal communication skills; comfortable presenting findings to cross-functional and leadership audiences
  • Self-starter with the ability to manage multiple workstreams and deadlines in a fast-paced environment
  • Bachelor's degree in Economics, Finance, Statistics, Marketing, or a related analytical field required; advanced degree a plus

About CompoSecure CompoSecure, a GPGI business (NYSE: GPGI), is the leading manufacturer of Premium Metal Payment Cards and also offers best-in-class Authentication and Digital Asset solutions. The Company's offerings combine elegance, simplicity, and security to deliver exceptional experiences and peace of mind, enabling trust for millions of people around the globe. For more information, please visit www.CompoSecure.com and www.GetArculus.com.

We offer a comprehensive benefits package designed to support your health, financial well-being, and work-life balance, including medical, prescription, dental, and vision coverage; FSA/HSA options; company-paid life and disability insurance; 401(k) with company match; paid time off (PTO) and holidays; annual bonus opportunities; an employee assistance program (EAP); and opportunities for career growth and advancement.

Additional details will be provided during the hiring process.

CompoSecure is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin. We are also an equal opportunity employer of individuals with disabilities and protected veterans.

Please note: CompoSecure does not accept unsolicited resumes from staffing agencies or third-party recruiters. Any unsolicited resumes sent to CompoSecure, including to our employees, will become the property of CompoSecure and may be used without any obligation to pay referral or placement fees. Any agency or recruiter seeking to work with CompoSecure's Talent Acquisition Team should contact our team directly by sending an email to recruiting@composecure.com.