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Data Analysis Associate Jobs in Houston, TX (NOW HIRING)

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Data Analysis Associate information

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How much do data analysis associate jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for data analysis associate in Houston, TX is $17.89, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.04 per hour, depending on experience, location, and employer.

What does a Data Analysis Associate do?

A Data Analysis Associate is responsible for collecting, organizing, and interpreting large sets of data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights. Their work often involves preparing reports, collaborating with other teams, and ensuring data accuracy and integrity. Data Analysis Associates play a key role in supporting decision-making processes and optimizing business performance.

How does a Data Analysis Associate typically collaborate with other departments within an organization?

Data Analysis Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations to interpret data and provide actionable insights. They often attend meetings to understand department-specific goals, gather requirements, and present findings in a way that is accessible to non-technical colleagues. This collaboration is key to ensuring that analytical recommendations align with broader business objectives and lead to informed decision-making. Strong communication skills and adaptability are essential for success in these collaborative settings.

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

To thrive as a Data Analysis Associate, you need strong analytical skills, proficiency in statistics, and typically a degree in a quantitative field such as mathematics or economics. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting data and conveying insights to stakeholders. These skills and qualities are crucial for transforming complex data into actionable business decisions and driving organizational success.
What are the most commonly searched types of Data Analysis jobs in Houston, TX? The most popular types of Data Analysis jobs in Houston, TX are:
Infographic showing various Data Analysis Associate job openings in Houston, TX as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $37,219 per year, or $17.9 per hour.

Data Analytics Associate

Baylor College of Medicine

Houston, TX • On-site

$56K - $56K/yr

Full-time

Posted 2 days ago

New


Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

67th of 614 rated colleges and universities


Job description

Data Analytics Associate
Division: Pediatrics
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range:
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The Data Analytics Associate uses data to design, create, and maintain analyses, reports, and research data pipelines in support of research and clinical operations within the Department of Pediatrics, Division of Hematology-Oncology. The position supports investigators and clinical teams at the Texas Children's Cancer and Hematology Center by building research-ready datasets, performing analyses using established analytic methods, and developing reports and visualizations. The associate applies existing AI-enabled analytical tools to improve efficiency and quality. The role fosters data-driven decision-making by providing consultative analytics support, applying established methods rather than developing novel algorithms.
Job Duties
  • Data Pipeline Development and Data Preparation (35% OF TIME)
    • Builds and maintains research-ready datasets from clinical, registry, and operational sources. Develops and maintains databases, data collection systems, and research data pipelines.
    • Supports the integration and preparation of large volumes of data. Applies existing AI-enabled tools such as code assistants and automated extraction to accelerate preparation while maintaining rigor and reproducibility.
  • Statistical Analysis and Reporting (35% OF TIME)
    • Conducts statistical analyses supporting research projects, manuscripts, quality improvement, and clinical operations, and provides ongoing reports.
    • Applies descriptive statistics and standard predictive modeling approaches. Interprets trends and patterns in complex data sets.
  • Data Visualization and Dashboards (15% OF TIME)
    • Develops dashboards, visualizations, tables, and figures that make findings accessible to non-technical audiences.
  • Documentation, Reproducibility, and Collaboration (15% OF TIME)
    • Maintains reproducible, version-controlled code and follows data governance, de-identification, and HIPAA requirements.
    • Prepares documentation including data dictionaries and codebooks. Collaborates with faculty, research staff, and clinical teams to scope requirements.
    • Performs other duties as assigned.
  • Builds and maintains research-ready datasets from clinical, registry, and operational data sources for studies within the Division of Hematology-Oncology.
  • Conducts statistical analyses supporting research projects, manuscripts, quality improvement, and clinical operations.
  • Applies existing AI-enabled analytical tools (e.g., code assistants, automated data extraction, large language models) to accelerate data preparation and analysis while maintaining rigor and reproducibility.
  • Collaborates with faculty, research staff, and clinical teams to define requirements and deliver analyses, reports, and dashboards.
  • Maintains reproducible, version-controlled code and adheres to data governance, de-identification, and HIPAA requirements.

Minimum Qualifications
  • Bachelor's degree.
  • Two years of relevant experience.

Preferred Qualifications
  • Master's degree in data science, biostatistics, epidemiology, computer science, or a related quantitative field.
  • Proficiency in Python and/or R and SQL, demonstrated ability to build research data pipelines and conduct statistical analyses, experience applying predictive models and data visualization, comfort using existing AI-enabled analytical tools, familiarity with clinical, EHR, or registry data, reproducible research practices including version control. Healthcare or research experience preferred.

Work Authorization Requirement:
This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Requisition ID: 25856

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