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Research Data Analyst Jobs (NOW HIRING)

Insomniac Games

OR · On-site

Research Data Analyst - 6 Month CONTRACT Insomniac Games is looking for a new Research Data Analyst. In this role, the Research Data Analyst is part of the User Research team and partners with Sony ...

CompoSecure

Research & Data Analyst

Somerset, NJ

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 ...

New

CompoSecure

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 ...

New

The Jackson Laboratory

Research Data Analyst

Bar Harbor, ME · On-site

$56K - $94K/yr

Performs statistical analysis; interprets and evaluates results, and compiles data for peer and PI ... The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National ...

University of Utah

Research Data Analysts

Campus, IL · On-site +1

$80K - $90K/yr

Position Summary The Research Data Analyst will lead the secure acquisition, organization, documentation, preparation, integration, and analysis of complex multi-site administrative and research ...

University of Utah

Research Data Analysts

Campus, IL · On-site +1

$80K - $90K/yr

Position Summary The Research Data Analyst will lead the secure acquisition, organization, documentation, preparation, integration, and analysis of complex multi-site administrative and research ...

University of Utah

Research Data Analysts

Campus, IL · On-site +1

$80K - $90K/yr

Position Summary The Research Data Analyst will lead the secure acquisition, organization, documentation, preparation, integration, and analysis of complex multi-site administrative and research ...

Apple

Market Research Data Analyst

Cupertino, CA · On-site

Apple's Market Research and Analytics team, part of Worldwide Product Marketing, is looking for a survey data analyst to provide critical customer insights that will shape our product and marketing ...

Ubertal Inc

Research Data Analyst Senior

Atlanta, GA · On-site

$111K - $112K/yr

Research/Data Analyst Senior Location: Atlanta, GA 30334 Engagement Type: Contract Work Mode: Remote (On-site interview and Day 1 equipment pickup required) Duration: December 8, 2025 - June 30, 2026 ...

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Research Data Analyst information

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How much do research data analyst jobs pay per year?

As of Jun 27, 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 in research or business environments to provide actionable insights.

Will AI replace a research analyst?

AI can automate routine data collection and analysis tasks for research data analysts, increasing efficiency. However, the role still requires human skills such as critical thinking, interpretation, and decision-making, which AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace research analysts entirely.

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.

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 can enter data science at any age, including 40, as the field values skills like programming, statistics, and data visualization that can be learned through online courses and certifications. Many professionals successfully transition into data science later in their careers by gaining relevant experience and building a portfolio. Age is less a barrier than acquiring the necessary technical skills and practical knowledge.

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.

Are research analysts in demand?

Research data analysts are in high demand across various industries such as healthcare, finance, and technology due to the increasing reliance on data-driven decision making. The role often requires proficiency in statistical tools, data visualization, and programming languages like Python or R, and employment opportunities are expected to grow steadily in the coming years.
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Research Data Analyst jobs near you
Infographic showing various Research Data Analyst job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $73,965 per year, or $35.6 per hour.
Research Data Analyst

Research Data Analyst

Insomniac Games

OR • On-site

Other

Posted 24 days ago

Job description

Research Data Analyst - 6 Month CONTRACT

Insomniac Games is looking for a new Research Data Analyst. In this role, the Research Data Analyst is part of the User Research team and partners with Sony Game Analytics to transform player data into insights that inform actionable next steps for game development. This role embodies a developer-centered analysis mindset-moving beyond data reporting to uncover meaning behind the metrics. By developing a deep understanding of game systems, development tools, and player behavior, the Research Data Analyst provides explanations for why patterns emerge, identifies red flags, and investigates the root causes behind the numbers.

Essential Duties and ResponsibilitiesAnalytics & Insights

  • Conduct in-depth analysis of player behavior metrics and feedback to identify trends, gaps, and opportunities across gameplay and systems.

  • Develop and maintain dashboards in tools such as Looker to communicate findings and progress against goals.

  • Partner with gameplay programmers to design and maintain event dictionaries, ensuring consistent telemetry data definitions.

  • Identify objectives and queries for data collection across development (SPINT) and post-launch (PROD) databases.

  • Translate complex data sets into clear, actionable insights that guide design, feature prioritization, and project strategy.

Research Collaboration

  • Collaborate with user research teams to integrate quantitative data with qualitative findings, strengthening overall player experience insights.

  • Participate in user research studies to understand player behaviors firsthand and identify new tracking opportunities.

  • Support creation of research reports, visualizations, and presentations that combine telemetry and player study results.

  • Provide expertise on data collection, telemetry architecture, and analytic methodologies to ensure quality and accuracy of player data.

Cross-Functional Partnership

  • Act as a liaison between Game Analytics, User Research, and Development teams, ensuring analytic deliverables align with studio and project needs.

  • Coordinate with Development Support and PSSQA to verify telemetry accuracy and relevance.

  • Communicate analytic updates to research schedules and dependencies with partner teams.

  • Evaluate new data sources, tools, and workflows to continuously improve analytic capabilities.

Developer-Centered Analysis

  • Develop a deep familiarity with game systems, mechanics, and design goals to provide meaningful context for data trends and player behavior.

  • Foster collaboration with development teams to gain a comprehensive understanding of gameplay systems and tools.

  • Use contextual awareness to interpret why patterns occur in the data and to uncover underlying causes affecting player experience.

  • Identify and communicate early indicators or warning signs within data that could affect design outcomes or player satisfaction.

QualificationsExperience:

  • 3-5 years of experience in data analysis, analytics engineering, UX research analytics, or related applied research.

  • Prior experience working with telemetry data and game analytics pipelines is strongly preferred.

Skills and Abilities
  • Strong statistics and data analysis skills (e.g., SQL, R, Python, or similar).

  • Proficiency in mathematical concepts such as probability, statistical inference, and fundamentals of geometry and trigonometry.

  • Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.

  • Proficient in reading, analyzing, and interpreting scientific and technical journals, financial reports, and legal documents.

  • Strong writing skills for creating speeches and articles that conform to prescribed styles and formats.

  • Ability to effectively present information to top management and key stakeholders.

  • Capable of solving practical problems and dealing with a variety of concrete variables in situations with limited standardization.

  • Emphasis in psychology, human-computer interaction, human factors, or a related field is ideal.

  • Familiarity with analytics tools like Omni, Looker, Tableau, Excel, and Power BI.

Other Skills

  • Excellent verbal and written communication skills.

  • Strong organizational and analytical skills.

  • A passion for user research and video games

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