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Data Analytics Associate information

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$3K

$5.9K

$8.4K

How much do data analytics associate jobs pay per month?

As of Jun 14, 2026, the average monthly pay for data analytics associate in Texas is $5,860.67, according to ZipRecruiter salary data. Most workers in this role earn between $5,316.67 and $6,250.00 per month, depending on experience, location, and employer.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

Is an Associates in data analytics worth it?

An associate's degree in data analytics can provide foundational skills in data collection, analysis, and visualization, which are valuable for entry-level roles such as Data Analytics Associate. However, many employers also value relevant certifications and practical experience, so combining the degree with hands-on projects can enhance job prospects.

What can you do with an associate's in data analytics?

A Data Analytics Associate can analyze data sets, create reports, and support decision-making processes using tools like Excel, SQL, and data visualization software. This role often involves cleaning data, identifying trends, and working with teams to improve business outcomes, typically requiring strong analytical skills and attention to detail.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts are still essential for interpreting insights, making strategic decisions, and managing complex datasets. The role of a Data Analytics Associate involves skills in data visualization, statistical analysis, and tools like SQL and Python, which complement AI capabilities rather than being replaced by them.

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

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

What does the data analysis associate do?

A Data Analytics Associate collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports, often working under the guidance of senior analysts or managers. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analytics jobs in Texas? The most popular types of Data Analytics jobs in Texas are:
What cities in Texas are hiring for Data Analytics Associate jobs? Cities in Texas with the most Data Analytics Associate job openings:
Data Analytics Associate jobs near you
Infographic showing various Data Analytics Associate job openings in Texas as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $70,328 per year, or $33.8 per hour.
Senior Data Analytics Associate - Clinical Research Data

Senior Data Analytics Associate - Clinical Research Data

Baylor College of Medicine

Houston, TX • On-site

$79K - $93K/yr

Full-time

Posted 22 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

51st of 537 rated colleges and universities

Job description

Job Title: Senior Data Analytics Associate - Clinical Research Data
Division: Obstetrics and Gynecology
Work Arrangement: Hybrid
Location: Houston, TX
Salary Range: $79,092 - $93,049
FLSA Status: Exempt
Work Schedule: Flexible
Summary
The Senior Data Analytics Associate will serve as a key analytical partner within the Fetal Center Research team. This role is responsible for maintaining and optimizing research databases, sustaining established Power BI dashboards, and developing new data-driven solutions that support complex fetal intervention research, including FDA regulated clinical trials. The analyst will apply advanced analytical methods, statistical modeling, and data visualization techniques to drive evidence-based decision making, ensure data integrity, and enhance operational and research outcomes across interdepartmental clinical research initiatives.
Job Duties
  • Maintain the integrity, accuracy, and performance of existing Power BI dashboards utilized for research and quality improvement.
  • Manage, develop, and optimize research databases, data collection systems, and data workflows to support ongoing and upcoming fetal intervention studies and FDA regulated clinical trials.
  • Support identification, integration, and preparation of large clinical, imaging, and longitudinal research datasets generated across interdepartmental partners.
  • Interpret complex clinical and research data using advanced statistical and analytics techniques; develop predictive models to support fetal intervention planning, patient risk stratification, and trial outcomes forecasting.
  • Identify, analyze, and interpret trends or patterns within high volume, multifaceted datasets relevant to maternal-fetal research.
  • Develop new dashboards, data visualization aids, and analytic tools tailored to the unique needs of fetal intervention studies, regulatory reporting, and research publications.
  • Work collaboratively with physicians, research coordinators, statisticians, data managers, and interdepartmental partners within Texas Children's Hospital Fetal Center to understand research and operational requirements and translate them into intuitive analytic solutions.
  • Provide consultative analytics support to clinical trial teams, offering actionable insights to guide process improvements, protocol planning, and research strategy.
  • Prepare high quality, well documented analytic outputs that support manuscripts, presentations, grants, regulatory submissions, and internal research reviews.
  • Recommend enhancements to data collection procedures, analytic processes, and reporting systems to increase statistical efficiency, regulatory compliance, and team effectiveness.
  • Continuously refine and improve analytics pipelines supporting fetal center workflows, multi site collaborations, and clinical trial operations.
  • Perform other duties as assigned to support the mission of the Fetal Center Research team.

Minimum Qualifications
  • Bachelor's degree. Four years of relevant experience may substitute for degree requirement.
  • Four years of relevant experience.

Preferred Qualifications and Skills
  • Experience with REDCap, MS Excel and Power BI.
  • Previous experience in research data management.
  • Requires experience with computer spreadsheets and database management (experience with developing and maintaining databases in REDCap preferred).
  • Self-directed, independent and organized.
  • Requires critical thinking and interpersonal skills necessary to coordinate large data sets within a multi-disciplinary team.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
SN; Nature
Requisition ID: 25252

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