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Statistical Analysis Jobs in Texas (NOW HIRING)

LivaNova

Statistical Programmer II

Dallas, TX

$90K - $100K/yr

The statistical programming team develops datasets from our clinical trials and delivers tables ... Provide input into SAP, analysis specifications, and data presentations for clinical trials.

LivaNova

Statistical Programmer II

Houston, TX

$90K - $100K/yr

The statistical programming team develops datasets from our clinical trials and delivers tables ... Provide input into SAP, analysis specifications, and data presentations for clinical trials.

LivaNova

Statistical Programmer II

Austin, TX

$90K - $100K/yr

The statistical programming team develops datasets from our clinical trials and delivers tables ... Provide input into SAP, analysis specifications, and data presentations for clinical trials.

MMS

Study Design Statistician (US)

Austin, TX · On-site

Summarize, analyze and visualize study data using a variety of statistical methods, ultimately delivering results to an agreed timeline with optimal quality. * Provide statistical consultancy support ...

Hp

Supplies North America Business Analyst

Spring, TX · On-site

$83K - $127K/yr

Apply data science, statistical analysis, and business analytics techniques to identify trends, drivers, risks, and opportunities across key North America Supplies business performance areas.

BravoTech

Sr. Adobe Analytics Analyst

Coppell, TX · On-site

$81K - $108K/yr

Strong A/B Testing experience (test planning, KPI definition, statistical analysis, and post-test recommendations) * Adobe Launch (Tag Management) * Website & Mobile Tagging Implementation

GM Financial

Risk Statistician

Fort Worth, TX · On-site

Effectively summarize and communicate analysis results, expectations, statistical methodology and results to management * Assist in ad-hoc research projects incorporating project design, data ...

GM Financial

Risk Statistician

Fort Worth, TX · Hybrid

Advanced knowledge of applied statistical methodologies * Knowledge of quantitative, analytical and data mining * Knowledge of SAS, Excel, Word and PowerPoint * Knowledge of spreadsheet modeling and ...

University Health

Quality Data Analyst

San Antonio, TX · On-site

$22.10 - $38.25/hr

Provides technical and methodological design consultation, while supporting departmental projects and functional responsibilities, data management, statistical analysis and results interpretation ...

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All JobsStatistical Analysis JobsStatistical Analysis Jobs in Texas

Statistical Analysis information

See Texas salary details

$27.9K

$65.6K

$109.5K

How much do statistical analysis jobs pay per year?

As of Jul 26, 2026, the average yearly pay for statistical analysis in Texas is $65,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $75,500.00 per year, depending on experience, location, and employer.

What jobs use statistical analysis?

Statistical analysis is used in a variety of jobs including data analyst, statistician, data scientist, market researcher, quality analyst, and financial analyst. These roles involve collecting, interpreting, and presenting data to support decision-making, often requiring proficiency with tools like Excel, R, or Python and relevant certifications or degrees in statistics or related fields.

How does a Statistical Analyst typically collaborate with other departments within an organization?

Statistical Analysts regularly work with teams such as marketing, finance, product development, and operations to interpret data and provide actionable insights. They often participate in cross-functional meetings to understand departmental goals and ensure that their analyses align with business objectives. Effective communication of complex statistical findings to non-technical colleagues is a key part of the role, as is adapting analysis techniques to suit different project needs. This collaborative environment fosters both professional growth and a deeper understanding of the broader organization.

What is the difference between Statistical Analysis vs Data Analyst?

AspectStatistical AnalysisData Analyst
Required CredentialsDegree in Statistics, Mathematics, or related field; certifications like SAS or SPSSDegree in Data Science, Statistics, or related; similar certifications often preferred
Work EnvironmentResearch labs, academic institutions, or industries focusing on data modelingBusiness settings, tech companies, or marketing firms analyzing data for insights
Employer & Industry UsageUsed across academia, healthcare, finance for in-depth data modelingCommon in corporate, retail, and tech sectors for reporting and visualization

While both roles involve working with data, Statistical Analysis focuses on developing and applying statistical models to interpret data, often requiring advanced statistical knowledge. Data Analysts primarily interpret data to generate reports and insights for business decisions. Both roles share similar credentials but differ in scope and application.

What is a statistical analysis job?

A statistical analysis job involves collecting, interpreting, and presenting data to help organizations make informed decisions. Professionals in this role use statistical tools and software, such as R or SAS, and often require strong analytical skills and a background in mathematics or statistics. The work environment can vary from corporate offices to research institutions, and roles may require certifications like a SAS or statistical analysis certification.

Is 40 too late for data science?

Age is not a strict barrier for a career in data science, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What is statistical analysis?

Statistical analysis is the process of collecting, exploring, and interpreting large amounts of data to discover underlying patterns and trends. It involves applying mathematical techniques to summarize data, test hypotheses, and make informed decisions. Professionals use statistical analysis in fields like business, healthcare, social sciences, and engineering to support evidence-based conclusions and predict future outcomes. Common methods include descriptive statistics, inferential statistics, regression analysis, and hypothesis testing.

Are statisticians highly paid?

Statisticians typically earn higher-than-average salaries due to their specialized skills in data analysis, modeling, and statistical software. Salaries vary based on experience, education, industry, and location, but the profession is generally considered well-compensated within the analytics and data science fields.

What are the key skills and qualifications needed to thrive as a Statistical Analyst, and why are they important?

To thrive as a Statistical Analyst, you need a solid background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or data science. Familiarity with statistical software like R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret and present complex data clearly. These skills ensure that analyses are accurate, actionable, and effectively support decision-making in various industries.
What are the most commonly searched types of Statistical Analysis jobs in Texas? The most popular types of Statistical Analysis jobs in Texas are:
Statistical Analysis jobs near you
Infographic showing various Statistical Analysis job openings in Texas as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $65,635 per year, or $31.6 per hour.

Statistical Programmer II

LivaNova

Dallas, TX

$90K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

As a global medtech company, we are driven by our Vision of changing the trajectory of lives for a new day and our Mission to create ingenious solutions that ignite patient turnarounds. Our relentless commitment to patients and strong legacy of innovation in healthcare are the foundation of our future. If you're looking for a new chance, a new beginning, a new trajectory, LivaNova is where your talent can truly thrive. Join our talented team members worldwide to become a pioneer of tomorrow-because at LivaNova, we don't just treat conditions - we aspire to alter the course of lives.

Come join a great company and be part of a dynamic, growing team of programmers. Put your expertise to great use as we improve our programming standards and processes to develop best-in-class programming outputs. The statistical programming team develops datasets from our clinical trials and delivers tables, listings, and figures (TLFs) per Statistical Analysis Plans (SAPs) to support new products and therapies, as well as togenerate evidence for marketed devices. This talented team also supports additional programming activities for clinical operations and other areas of the company, including R&D and Quality.


The Role

  • The Statistical Programmer will support programming activities for multiple projects on clinical study reports and publications.

  • Accountable for clinical statistical programming deliverables and for ensuring excellence in programming activities in terms of quality and timelines for clinical trials under the responsibility of Statistics & Data Management.

  • Collaborate with Statistics, Data Management, Clinical, and vendor teams to clarify requirements and resolve data or programming issues.

  • Develop, validate, and maintain SAS programs in accordance with study requirements, internal standards, and SOPs

  • Contribute to the creation, validation, and documentation of SDTM and ADaM datasets.

  • Responsible for producing programming outputs, validation, and related documentation to ensure accuracy, consistency, and traceability.

  • Ensure deliverables meet expectations in terms of timelines and quality, regulatory and key user group requirements (e.g., CDISC), operational efficiency, and alignment with the study's clinical and statistical objectives.

  • Provide input into SAP, analysis specifications, and data presentations for clinical trials.

  • Support ongoing workflow modernization, migration activities, and standardization initiatives.

  • Participate in process improvement activities related to programming efficiency, quality, and standardization.

Minimum Requirements

  • Bachelor's degree or higher in statistics, mathematics, computer science, life sciences, data science, or related field.

  • Relevant experience in clinical trial programming, clinical data analysis, statistical programming, or regulated data environments.

  • Strong SAS programming skills, including data step, procedures, macros, and debugging.

  • Ability to write clear, validated, reusable, and well-documented code.

  • Understanding of programming quality control, validation, and traceability expectations.

  • Working knowledge of CDISC standards, especially SDTM and ADaM.

  • Ability to support dataset creation, validation, listings, tables, figures, and ad hoc analyses.

  • Understanding of clinical trial data flow from data collection to analysis/reporting.

  • Strong attention to detail and quality.

  • Ability to work independently on assigned tasks with appropriate guidance.

  • Good communication skills and ability to collaborate with Statistics, Data Management, Clinical, and external vendors.

  • Ability to manage priorities and timelines in a changing project environment.

Desired Qualifications

  • Experience with R, Python, SQL, Git, or other modern programming/version control tools.

  • Experience with SAS Enterprise Guide or other SAS-based clinical programming environments.

  • Experience supporting medical device, neuromodulation, or cardiovascular/respiratory studies.

  • Familiarity with data visualization, dashboards, automation, or workflow improvement.

  • Experience working with vendors or cross-functional global teams.

  • Understanding of controlled programming environments, SOPs, and audit-ready documentation.

Pay Transparency

  • A reasonable estimate of the annual base salary for this position is $90,000 - $100,000 plus discretionary annual bonus. Pay ranges may vary by location and are awarded based on experience.


Employee benefits include:

  • Health benefits - Medical, Dental, Vision

  • Personal and Vacation Time

  • Retirement & Savings Plan (401K)

  • Employee Stock Purchase Plan

  • Training & Education Assistance

  • Bonus Referral Program

  • Service Awards

  • Employee Recognition Program

  • Flexible Work Schedules

Valuing different backgrounds:

LivaNova values equality and diversity. We are committed to ensuring that our recruitment process is fair, transparent and free from unlawful discrimination. Our selection process is driven by the key demands/requirements for the role rather than bias or discrimination on the basis of a candidate's sex, gender identity, age, marital status, veteran status, non-job-related disability/handicap or medical condition, family status, sexual orientation, religion, color, ethnicity, race or any other legally protected classification.


Notice to third party agencies:

Please note that we do not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Services Agreement, we will not consider, or agree to, payment of any referral compensation or recruiter fee. In the event that a recruiter or agency submits a resume or candidate without a previously signed agreement, we explicitly reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.


Beware of Job Scams:

Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons posing as LivaNova recruiters or employees. The scammers may attempt to solicit confidential, personal information, such as a social security number, or your financial information. LivaNova will never ask for fees prior/during/after the application process, nor will we ask for banking details or personal financial information in return for the assurance of employment. If you are concerned that an offer of employment might be a scam or that the recruiter is not legitimate, please verify by searching for "See Open Jobs" onhttps://www.livanova.com/en-us/careers, and check that all recruitment emails come from an @livanova.com email address.

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