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Analytics Associate Jobs in Texas (NOW HIRING)

Vizient, Inc.

Analytics & Insights Associate

Irving, TX · On-site

$68K - $116K/yr

You will analyze procedural, operational, and clinical outcomes data using Procedural Analytics and the Clinical Database to identify trends, uncover opportunities for improvement, evaluate resource ...

Vizient

Analytics & Insights Associate

Irving, TX

$68K - $116K/yr

You will analyze procedural, operational, and clinical outcomes data using Procedural Analytics and the Clinical Database to identify trends, uncover opportunities for improvement, evaluate resource ...

Bank OZK

Associate, CECL Analytics

Houston, TX

The position focuses on risk analysis, reporting, and understanding the Bank's data inputs for various credit risk models and support related programs such as CRE/Capital Stress Testing, Credit ...

Bank OZK

Associate, CECL Analytics

Dallas, TX · On-site

The position focuses on risk analysis, reporting, and understanding the Bank's data inputs for various credit risk models and support related programs such as CRE/Capital Stress Testing, Credit ...

Vizient, Inc.

Analytics & Insights Associate

Irving, TX · On-site

$68K - $116K/yr

You will analyze procedural, operational, and clinical outcomes data using Procedural Analytics and the Clinical Database to identify trends, uncover opportunities for improvement, evaluate resource ...

Bank OZK

Associate, CECL Analytics

Dallas, TX · On-site

The position focuses on risk analysis, reporting, and understanding the Bank's data inputs for various credit risk models and support related programs such as CRE/Capital Stress Testing, Credit ...

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How much do analytics associate jobs pay per month?

As of Aug 3, 2026, the average monthly pay for 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 can you do with an associate's in data analytics?

An analytics associate with an associate's degree can perform data collection, cleaning, and analysis using tools like Excel, SQL, and Tableau. They often support data-driven decision-making, generate reports, and assist in identifying trends for businesses or organizations.

How does an Analytics Associate typically collaborate with other departments within an organization?

Analytics Associates often work closely with teams such as marketing, finance, operations, and product management to understand their data needs and provide actionable insights. This collaboration involves regular meetings to discuss business goals, sharing analytical findings, and tailoring reports or dashboards to specific departmental objectives. Strong communication skills are key, as the role requires translating complex data analyses into clear recommendations for non-technical stakeholders. Building these cross-functional relationships not only enhances project outcomes but also provides valuable exposure to different areas of the business, supporting long-term career growth.

Can I be a data analyst with no experience?

While many data analyst roles prefer candidates with some experience, entry-level positions are available that focus on foundational skills such as Excel, SQL, and data visualization tools. Gaining relevant certifications or completing online courses can improve your chances of starting a career as a data analyst without prior experience.

What is the difference between Analytics Associate vs Data Analyst?

AspectAnalytics AssociateData Analyst
Required CredentialsBachelor's degree in Business, Economics, or related field; often some certification in analytics toolsBachelor's degree in Statistics, Mathematics, or related; often similar certifications in data tools
Work EnvironmentCorporate settings, finance, marketing, or consulting firmsVarious industries including healthcare, finance, tech, and retail
Employer & Industry UsageCommon in finance, consulting, and corporate analytics teamsWidely used across industries for data-driven decision making

Analytics Associates and Data Analysts share similar educational backgrounds and work environments, often performing data collection, analysis, and reporting. The main difference lies in scope: Analytics Associates typically focus on supporting senior analysts and managers with specific projects, while Data Analysts may handle broader data interpretation and visualization tasks. Both roles are essential for organizations aiming to leverage data for strategic decisions.

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

To thrive as an Analytics Associate, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree in fields such as mathematics, economics, or data science. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting insights. These skills enable Analytics Associates to transform complex data into actionable business recommendations, driving informed decision-making.

What does an analytics associate do?

An analytics associate collects, analyzes, and interprets data to help organizations make informed business decisions. They often use tools like Excel, SQL, or data visualization software and may prepare reports or dashboards to communicate insights to stakeholders.

Is 40 too late for data science?

For an Analytics Associate or similar data-related roles, starting a career at 40 is possible, especially with relevant skills like data analysis, programming, and familiarity with tools such as SQL or Python. Many professionals transition into data science later in their careers by gaining certifications or additional training, and age is generally not a barrier if the candidate demonstrates strong analytical skills and experience.
What are the most commonly searched types of Analytics jobs in Texas? The most popular types of Analytics jobs in Texas are:
What cities in Texas are hiring for Analytics Associate jobs? Cities in Texas with the most Analytics Associate job openings:
What are popular job titles related to Analytics Associate jobs in TX? For Analytics Associate jobs in TX, the most frequently searched job titles are:
Analytics Associate jobs near you
Infographic showing various Analytics Associate job openings in Texas as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $70,328 per year, or $33.8 per hour.

Data Analytics Associate

Baylor College of Medicine

Houston, TX • On-site

$56K - $56K/yr

Full-time

Posted 3 days ago

New

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

183rd 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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