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Data Research 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 ...

Ensure all survey instruments are aligned with research best practices and maintain appropriate data privacy and security standards * Continuously improve survey processes by monitoring platform ...

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Data Research information

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How much do data research jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data research in Texas is $23.90, according to ZipRecruiter salary data. Most workers in this role earn between $13.11 and $28.33 per hour, depending on experience, location, and employer.

What is a data research?

A Data Research job involves collecting, analyzing, and interpreting data to support decision-making and business strategies. Professionals in this role gather information from various sources, clean and organize datasets, and identify trends or patterns. They often use statistical tools and software to extract meaningful insights. Data researchers work in industries like finance, marketing, healthcare, and technology, helping organizations make data-driven decisions. Strong analytical skills, attention to detail, and proficiency in data tools are essential for success in this role.

What are the typical daily responsibilities of someone working in data research?

A Data Research professional typically spends their day gathering large datasets from various sources, cleaning and organizing data, and conducting in-depth analyses to identify trends and meaningful insights. They often collaborate closely with other data professionals, business analysts, and cross-functional teams to understand project goals and deliver relevant findings. In addition, they prepare reports or visualizations to communicate their results and may present these to stakeholders. The role often requires adaptability, as project priorities and data sources can evolve frequently, making each day varied and engaging.

What are the key skills and qualifications needed to thrive in data research, and why are they important?

To thrive as a Data Research professional, you need strong analytical skills, attention to detail, familiarity with data collection methods, and typically a degree in a relevant field like statistics, mathematics, or information science. Proficiency with data analysis tools such as Excel, SQL, Python, R, and experience with data visualization platforms like Tableau or Power BI are commonly required, and specialized certifications in data analytics can be advantageous. Key soft skills include curiosity, critical thinking, collaboration, and effective communication to present findings clearly. These abilities are crucial for ensuring accurate data collection, insightful analysis, and actionable recommendations to support organizational decision-making.

What are the most commonly searched types of Data Research jobs in Texas?

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

What cities in Texas are hiring for Data Research jobs?

Cities in Texas with the most Data Research job openings:

Infographic showing various Data Research 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 $49,704 per year, or $23.9 per hour.

Data Analyst Advisory Data & Research

Inficare Technologies

Richardson, TX • On-site

Full-time

Posted 11 days ago


Job description

Job Title: Data Analyst (Advisory Data & Research)
Job Overview
Key Responsibilities
  • Own analytical workstreams end-to-end - synthesize input from users, business stakeholders, and leadership into prioritized questions and metrics.
  • Build, maintain, and refine dashboards, reports, and self-service analytics using clean, well-documented SQL.
  • Drive data discovery alongside Product and UX partners - conduct user research and champion the end-user perspective.
  • Collaborate with Engineering and Data Engineering to translate analytical requirements into reliable, queryable data.
  • Define and deliver analyses end-to-end - from problem framing through validation, presentation, and impact measurement.
  • Represent findings to business leadership with crisp, regular readouts tied to strategic goals.
  • Proactively investigate data quality anomalies and resolve issues before they become blockers.
Required Skills
  • 3-5+ years of experience in Data Analytics, Business Intelligence, or a related quantitative field.
  • Strong SQL skills with hands-on experience querying large, complex datasets.
  • Fluency building dashboards and reports in modern BI tools (Power BI, Tableau, Looker, or similar).
  • Proficiency using AI tools in an analytical context.
  • Experience with commercial real estate data.
  • Ability to present and communicate insights to C-suite executives.
  • Comfort with data modeling, data quality, and data governance.
  • Familiarity with Snowflake, Databricks, or similar data warehousing platforms.
  • Proficiency with Microsoft Office (Word, Excel, Outlook, PowerPoint).
Preferred Skills
  • Proficiency in Python or R for analysis and automation.
  • Bachelor's degree in a quantitative discipline.
  • Experience in Commercial Real Estate (nice to have).
Location & Work Model
Richardson, TX - Onsite, 5 days/week.
Engagement Details
Contract | Duration: 6 Months