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Statistical Analyst Jobs in Texas (NOW HIRING)

The successful candidate will have extensive experience in statistical analysis and data modeling and be able to work collaboratively with cross-functional teams to identify trends and patterns in ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Statistical Modeling : Apply statistical methods and predictive modeling techniques to analyze data and forecast future trends. * Continuous Improvement : Identify opportunities for process ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Showing results 21-40

Statistical Analyst information

See Texas salary details

$27.9K

$65.6K

$109.5K

How much do statistical analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for statistical analyst 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 does a statistical analyst do?

A Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical methods and software to identify trends, patterns, and relationships within large datasets. Their work supports areas such as business strategy, scientific research, healthcare, and government policy. Statistical Analysts often present their findings through reports, visualizations, and presentations to stakeholders. Their insights are crucial for evidence-based planning and problem-solving.

What are some common challenges statistical analysts face when interpreting large datasets, and how can they overcome them?

Statistical Analysts often encounter challenges such as dealing with missing or inconsistent data, managing data from multiple sources, and ensuring that their analyses are not biased by outliers or erroneous entries. To overcome these issues, analysts use data cleaning techniques, robust validation processes, and statistical methods to account for anomalies. Collaborating closely with data engineers and subject matter experts also helps ensure that the data is accurate and relevant, leading to more reliable insights.

What is the difference between Statistical Analyst vs Data Scientist?

AspectStatistical AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related fieldBachelor's or higher in computer science, statistics, or related field; often includes advanced degrees
Work EnvironmentCorporate, finance, healthcare, or government settings focusing on data analysisTech companies, research, and industries requiring complex data modeling
Employer & Industry UsageCommon in finance, healthcare, and marketing sectorsPrevalent in technology, e-commerce, and research sectors

While both roles analyze data, Statistical Analysts primarily focus on interpreting data using statistical methods, often with less emphasis on programming. Data Scientists typically handle larger datasets, develop predictive models, and utilize advanced programming skills. The roles overlap in data analysis but differ in complexity and scope.

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 strong background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or economics. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Attention to detail, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These capabilities are crucial for transforming data into actionable insights that support informed decision-making in organizations.

What is a statistical analyst?

A statistical analyst reviews data and uses models to develop practical solutions to problems. As a statistical analyst, your primary duties involve planning analyses, reviewing collected data, designing statistical models, using statistical analysis software programs, and reporting your findings to your superiors. This job requires a bachelor’s degree in mathematics, computer science, or a related field. Additional qualifications include work experience in an office environment, familiarity with relevant industry computer software, and strong creative thinking abilities. You also need excellent analytical, mathematical, and research skills. You can find statistical analyst positions in a wide variety of industries.

Do statistical analysts make a lot of money?

Statistical analysts typically earn competitive salaries that vary by experience, education, and industry. According to industry data, the median annual wage for statistical analysts is above the national average, with higher earnings possible for those with advanced skills in data analysis tools like R or Python and relevant certifications. Salary potential increases with experience and specialization in fields such as finance, healthcare, or technology.

What are the most commonly searched types of Statistical Analyst jobs in Texas?

The most popular types of Statistical Analyst jobs in Texas are:

What cities in Texas are hiring for Statistical Analyst jobs?

Cities in Texas with the most Statistical Analyst job openings:

What are popular job titles related to Statistical Analyst jobs in TX?

For Statistical Analyst jobs in TX, the most frequently searched job titles are:

Infographic showing various Statistical Analyst job openings in Texas as of August 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $65,635 per year, or $31.6 per hour.

Supplies North America Business Analyst

HP Development Company, L.P.

Spring, TX • On-site

$83K - $127K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 27 days ago


Job description

Supplies North America Business Analyst
Description -
The North America Supplies Business Analyst / Reporting & Data Specialist is responsible for translating complex business data into decision-ready reporting, clear business insights, and actionable recommendations. This role will collect, clean, validate, analyze, and communicate data from multiple business sources, applying data science, statistical analysis, and business analytics techniques to identify trends, performance drivers, risks, and opportunities.
Responsibilities
  • Support the collection, cleaning, preprocessing, validation, and organization of data from multiple business sources to ensure reporting accuracy, integrity, and consistency.
  • Apply data science, statistical analysis, and business analytics techniques to identify trends, drivers, risks, and opportunities across key North America Supplies business performance areas.
  • Generate recurring reports and ad-hoc analysis that highlight key metrics, business trends, performance drivers, and emerging risks or opportunities.
  • Help create and maintain repeatable reporting processes, templates, dashboards, and documentation to reduce manual work and improve consistency.
  • Use AI-enabled tools to improve speed and quality of analysis, identifying opportunities for modernization through automation, simplification, and process improvement
  • Collaborate with Category subject matter experts to align reporting logic, business definitions, data assumptions, methodology, and procedures for collecting and communicating business data.
  • Translate complex analysis outputs into clear charts, tables, summaries, and actionable recommendations for internal stakeholders.

Education & Experience Recommended
Four-year or graduate degree in Mathematics, Statistics, Economics, Finance, Business Analytics, Computer Science, Data Science, Data Analytics, or any other related discipline; or commensurate work experience or demonstrated competence.
Typically has 3-5 years of work experience, preferably in data analytics, data science, business analytics, reporting, database management, statistical analysis, or a related field.
Preferred Certifications
Programming Language/s Certification (SQL, Python, or similar).
Knowledge & Skills
  • Data Analysis
  • Data Science
  • AI-Enabled Analytics
  • Statistical Analysis
  • Business Analytics
  • Business Intelligence
  • Advanced Excel
  • Excel Modeling
  • PivotTables
  • Power Query
  • Data Management
  • Data Modeling
  • Data Quality
  • Data Visualization / Power BI
  • Extract, Transform, Load / ETL
  • Reporting Automation
  • Business Reporting
  • SQL
  • Python

Cross-Org Skills
  • Effective Communication
  • Results Orientation
  • Learning Agility
  • Digital Fluency
  • Customer Centricity

Impact & Scope
Impacts function and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Pay and Benefits
The pay range for this role is $83,000 to $127,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"