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Research Data Analyst Jobs in Texas (NOW HIRING)

... Research team, you'll own analytical workstreams end-to-end, partner closely with a scrum team, and sit at the intersection of data, technology, and the business. You'll be close to the data - and ...

Data Analyst

Dallas, TX · On-site

$30 - $40/hr

About The Company Our client is seeking a Data Analyst to support strategic business initiatives through data analysis, reporting, and market research. This role provides the opportunity to ...

The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Bring your analytics research knowledge to work alongside various business units by providing ...

Data Analyst

Dallas, TX · On-site

$30 - $40/hr

About The Company Our client is seeking a Data Analyst to support strategic business initiatives through data analysis, reporting, and market research. This role provides the opportunity to ...

Job Title Lead Data Analyst Agency Texas A&M Agrilife Research Department Dallas Proposed Minimum Salary Commensurate Job Location Dallas, Texas Job Type Staff About Texas A&M AgriLife Texas A&M ...

Job Title Lead Data Analyst Agency Texas A&M Agrilife Research Department Dallas Proposed Minimum Salary Commensurate Job Location Dallas, Texas Job Type Staff About Texas A&M AgriLife Texas A&M ...

The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Bring your analytics research knowledge to work alongside various business units by providing ...

Experience in marketing research, direct marketing and/or marketing analytics. * Significant demonstrated experience with data set creation and data manipulation (sorting, merging, variable creation)

Three years in data analysis, preferably in a healthcare/research setting SKILLS AND ABILITIES * Demonstrates the skills and competencies necessary to safely perform the assigned job, determined ...

The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Bring your analytics research knowledge to work alongside various business units by providing ...

... research, spreadsheets, and databasesAptitude for identifying trends, patterns, and anomalies in ... Extract, validate, analyze, and visualize data from District databases.Respond to data requests by ...

Senior Data Analyst

Dallas, TX · On-site

$85K - $107K/yr

This position will also participate in the analysis of research data for the Trauma Research ... Program. These functions support fulfillment of institutional requirements for GME scholarly ...

Data Analyst

Austin, TX · On-site

$40 - $50/hr

Research new data sources and analytical techniques to enhance reporting capabilities. * Collaborate with cross-functional teams to understand reporting requirements and deliver timely solutions.

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing Analyst, Operations Analyst, Reporting Analyst, Insights Analyst, Research Analyst, Quantitative ...

Data Analyst

San Antonio, TX · On-site

$60 - $90/hr

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing Analyst, Operations Analyst, Reporting Analyst, Insights Analyst, Research Analyst, Quantitative ...

Showing results 21-40

Research Data Analyst information

See Texas salary details

$35.9K

$68.9K

$92.7K

How much do research data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for research data analyst in Texas is $68,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,100.00 and $91,800.00 per year, depending on experience, location, and employer.

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.

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.

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 most commonly searched types of Research Data Analyst jobs in Texas?

The most popular types of Research Data Analyst jobs in Texas are:

What cities in Texas are hiring for Research Data Analyst jobs?

Cities in Texas with the most Research Data Analyst job openings:

Infographic showing various Research Data Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $68,910 per year, or $33.1 per hour.

Full-time

Re-posted 25 days ago


Key responsibilities

  • Own analytical workstreams end-to-end by synthesizing input from users, stakeholders, and leadership into questions and metrics.

  • Build, maintain, and refine dashboards, reports, and self-service analytics, including writing SQL and participating in scrum ceremonies.

  • Partner with UX designers, product managers, and engineering teams to translate business questions into reliable data and deliver analyses from problem framing to impact measurement.


Job description

Role : Data Analyst
Location : Richardson, TX (Hybrid)
Key Skills:
  • Must be proficient in using AI
  • Experience with commercial real estate data
  • Able to present and communicate ideas to C-suite executives
  • Software skills: Proficiency with Microsoft Office tools (Word, Excel, Outlook, PowerPoint) and familiarity with modern analytics and data warehousing platforms (e.g., Snowflake, Databricks)

Job Description:
As a Data Analyst on the Advisory Data & Research team, you'll own analytical workstreams end-to-end, partner closely with a scrum team, and sit at the intersection of data, technology, and the business. You'll be close to the data - and close to the users - shaping what gets measured and why.
This isn't a reporting-factory role. You'll help frame the questions and define the methodology. You will drive the analysis, and be accountable for the insights. You'll partner with UX designers and product managers to embed analytics people actually use, push engineering teams on data quality and pipeline reliability, and represent your findings to business leaders and D&T leadership alike.
What You'll Do
• Own analytical workstreams end-to-end - synthesize input from users, business stakeholders, and D&T leadership into a clear, prioritized set of questions to answer and metrics to track.
• Build, maintain, and refine dashboards, reports, and self-service analytics: write clean, well-documented SQL, groom data backlogs, lead refinement sessions with stakeholders, and actively participate in scrum ceremonies, demos, and lead user testing and rollout of analytical products.
• Drive data discovery alongside Product and UX partners - conduct user research on analytical needs, run feedback sessions, and champion the end-user perspective in every metric and visualization decision.
• Translate business questions into execution by collaborating closely with Engineering and Data Engineering, turning analytical requirements into well-modeled, reliable, queryable data.
• Define and deliver specific analyses end-to-end, from problem framing through validation, presentation, and measurement of impact.
• Represent your analysis to business leadership and D&T leadership - providing crisp, regular readouts and connecting day-to-day work to broader strategic goals.
• Spot data quality problems before they become blockers: proactively investigate anomalies, resolve issues, and communicate with clarity and urgency when it matters.
What You'll Need
• 3-5+ years of experience in Data Analytics, Business Intelligence, Business Analytics, or a related quantitative field - with a track record of delivering analyses that influenced decisions. A bachelor's degree in a quantitative discipline is preferred; relevant experience counts.
• Strong SQL skills with hands-on experience querying large, complex datasets, plus fluency building dashboards and reports in modern BI tools (Power BI, Tableau, Looker, or similar). Proficiency in Python or R for analysis and automation is a plus.
• Strong instincts for prioritization - you know which questions matter, and you know how to explain why.
• The communication skills to work across levels: from a debugging session with a data engineer to a C-suite readout, you adjust your style and land your message.
• A bias for the truth - you ask hard questions of the data, validate your assumptions, and let what you find change your mind.
• Comfort navigating ambiguity, managing competing priorities, and keeping work focused when requirements shift.
• Proficiency with Microsoft Office tools (Word, Excel, Outlook, PowerPoint) and familiarity with modern analytics and data warehousing platforms (e.g., Snowflake, Databricks).
• Experience with data modeling, data quality, and data governance - you understand data and how it interacts with products and decisions.
• Experience in Commercial Real Estate (nice to have)