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Statistical Data Analysis Jobs in Texas (NOW HIRING)

Proficiency in statistical/numerical analysis concepts: regression, linear and multivariate ... data science toolkits (e.g., TensorFlow, Keras) PREFERRED SKILLS * 5+ years of relevant work ...

Perform statistical analysis and trend evaluation to identify anomalies, degradation patterns, and performance deviations. * Collaborate with system engineers and test engineers to define data ...

Work closely with project managers to gather and analyze attribute and process statistical data. * Work closely with the project administrator, confirming conformance and compliance with respect to ...

Support regional planning efforts through advanced land use modeling, data analysis, and ... statistical and spatial analysis, and managing complex datasets, including experience applying ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Experience with statistical analysis and modeling techniques. * Knowledge of machine learning algorithms and data mining techniques. * Familiarity with project management methodologies and tools.

Test Engineer

Austin, TX · On-site

$85 - $110/hr

Understanding of statistical data analysis * Understanding of hardware and software integration * Hands-on experience with electronic hardware * High-frequency circuit design, RF, and wireless ...

New

Performs data modeling and data analysis to ensure accuracy, consistency, and reliability of ... Degree in Analytics, Statistics, Data Science, or related field required. * Experience in gathering ...

Performs data modeling and data analysis to ensure accuracy, consistency, and reliability of ... Degree in Analytics, Statistics, Data Science, or related field required. * Experience in gathering ...

Job Title Lead Data Analyst Agency Texas A&M Agrilife Research Department Dallas Proposed Minimum ... Oversee the design and execution of statistical analysis plans, including power and sample size ...

Job Title Lead Data Analyst Agency Texas A&M Agrilife Research Department Dallas Proposed Minimum ... Oversee the design and execution of statistical analysis plans, including power and sample size ...

A Data Analyst with strong Analytics background to support Corporate Sales Reporting and Analytics ... with statistical analysis and modeling including linear regression, segmentation, non-linear ...

AWS Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager • Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis • ...

Performs data modeling and data analysis to ensure accuracy, consistency, and reliability of ... Degree in Analytics, Statistics, Data Science, or related field required. * Experience in gathering ...

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

Data Analysis: * Utilize statistical methods and analytical techniques to interpret complex data sets related to engineering projects, performance metrics, and operational efficiency. * Identify ...

Showing results 41-60

Statistical Data Analysis information

See Texas salary details

$7

$33

$60

How much do statistical data analysis jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for statistical data analysis in Texas is $33.83, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $44.18 per hour, depending on experience, location, and employer.

What is statistical data analysis?

Statistical data analysis is the process of collecting, organizing, interpreting, and presenting numerical data using statistical methods. It helps researchers and professionals identify patterns, trends, and relationships within data sets, enabling informed decision-making. Common techniques include descriptive statistics, hypothesis testing, regression analysis, and data visualization. Statistical data analysis is widely used in fields such as business, healthcare, social sciences, and engineering to draw meaningful conclusions from data.

What are the key skills and qualifications needed to thrive as a statistical data analyst?

To thrive as a Statistical Data Analyst, a solid background in statistics, mathematics, and data interpretation is required, often supported by a degree in statistics, mathematics, or a related field. Expertise in statistical software such as R, Python, SAS, or SPSS, along with experience in data visualization tools, is typically essential. Strong analytical thinking, attention to detail, and effective communication skills help analysts present complex findings clearly to stakeholders. These competencies are crucial for extracting actionable insights from data and supporting informed, data-driven business decisions.

What are some common challenges faced by professionals in statistical data analysis roles, and how can they be addressed?

Professionals in statistical data analysis often encounter challenges such as dealing with incomplete or messy datasets, selecting appropriate statistical methods, and ensuring the reproducibility of their analyses. Overcoming these obstacles typically involves rigorous data cleaning, continuous learning about statistical techniques, and using version control systems for code and data. Collaboration with subject matter experts and maintaining clear documentation are also essential for ensuring that findings are accurate and actionable.

What is the difference between Statistical Data Analysis vs Data Scientist?

AspectStatistical Data AnalysisData Scientist
Required CredentialsDegree in Statistics, Mathematics, or related fieldDegree in Computer Science, Statistics, or related field
Work EnvironmentResearch labs, finance, healthcare, academiaTech companies, finance, e-commerce, startups
Employer & Industry UsageUsed across industries for analyzing data setsUsed for building predictive models and data-driven products

Statistical Data Analysis focuses on interpreting data using statistical methods, often emphasizing hypothesis testing and descriptive statistics. Data Scientists combine statistical analysis with programming and machine learning skills to create predictive models and extract insights from large, complex data sets. While both roles analyze data, Data Scientists typically have broader technical skills and work on developing algorithms, whereas Statistical Data Analysts concentrate on statistical techniques and reporting.

Do statistical data analysts make a lot of money?

Statistical data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but experienced analysts with advanced skills in programming and data visualization can earn higher wages, often supplemented by certifications and specialized training.

What is a statistical data analyst?

A statistical data analyst is a professional who collects, processes, and interprets large datasets to help organizations make informed decisions. They use statistical tools and software, such as R or SAS, and often require strong analytical skills and knowledge of data visualization. The role typically involves analyzing trends, creating reports, and supporting data-driven strategies.

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

The most popular types of Statistical Data Analysis jobs in Texas are:

What job categories do people searching Statistical Data Analysis jobs in Texas look for?

The top searched job categories for Statistical Data Analysis jobs in Texas are:

Infographic showing various Statistical Data Analysis job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $70,370 per year, or $33.8 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

Company Description

At IPT Global, we're pioneers in providing innovative digital solutions for well integrity assurance and energy technology. Our mission is to empower operators with the data, tools, and insights they need to ensure safer, more reliable operations.

We combine deep domain expertise with cutting-edge software development to deliver high-quality applications and platforms that enhance performance, safety, and efficiency across the energy lifecycle. Our teams collaborate across disciplines, embracing creativity, accountability, and continuous learning to drive technological progress and deliver lasting value to our customers.

If you want to work in an environment that values growth, innovation, and teamwork - we'd love to meet you.

Job Description
  • Leverage strong data science skills throughout the data analysis process (problem formulation, data aggregation, transformation and cleaning, descriptive analysis, modeling, visualization, presentation, productizing)
  • Design and execute research of open-ended problems related to data analytics, Machine Learning, and predictive modeling on large, complex data sets to draw insights and conclusions for key stakeholders
  • Evaluate, improve, and invent analysis methods to be used in IPT Global's suite of well integrity solutions
  • Develop and validate proposed analysis methods through the application of physics-based and data-based models to industry component data sets, apply variances to account for test environment effects and signal noise to gauge algorithm performance and robustness
  • Collaborate with multiple teams and present findings, prototypes, and recommendations periodically to multiple levels of stakeholders, including to senior management
  • Leverage existing data sets to improve/invent analysis methods and solutions by performing data analysis on large sets of data identifying trends, patterns, anomalies, clusters, and insights in a continual advancement of our state-of-the-art
  • Perform statistical analysis of field and simulated data to provide reliability insights, confidence levels, and risk assessments
  • Support Business Development through projects evaluating client/prospect data and potential improvements in reliability and efficiency using IPT products
  • Analyze operational data, create KPIs, and develop dashboards or visualizations that drive action and provide business value for internal and external clients
  • Participate in technical document generation and research publication writing, and present research at national/international conferences and forums in fields related to the role
  • Document innovations in the consideration and protection of Intellectual Property (e.g., patent applications, trade secrets)
  • All other assigned duties
Qualifications

REQUIREMENTS

  • Bachelor's or Master's degree in a quantitative discipline (e.g., Mathematics, Statistics, Engineering, Computer Science, Physics, Applied Science) or related discipline with demonstrated research capability
  • 3 years of direct work experience in a data related field
  • Proficiency in statistical/numerical analysis concepts: regression, linear and multivariate analysis, curve-fitting, sampling methods, descriptive statistics, probability distributions, stochastic models, confidence/risk analysis, optimization
  • Experience with statistical/numerical software (e.g., R, Python, MATLAB), database query languages (e.g., SQL), and data science toolkits (e.g., TensorFlow, Keras)

PREFERRED SKILLS

  • 5+ years of relevant work experience, including expertise with statistical data analysis
  • Proficiency in implementing machine learning and deep learning techniques and algorithms (e.g., KNN, Naive Bayes, SVM, Decision Forest, RandomForest, Gradient Boosting, CNN) and applying model validation concepts
  • Experience in predictive and prescriptive modeling, including model training and validation
  • Familiarity with Azure, or other cloud computing services (AWS, Google Cloud, etc.)
  • Familiarity with C#, virtual machines / containers
  • History of generating technical documents and publications
  • Experience in the oil and gas industry, especially operations, and understanding of industry common terminology
Additional Information
  • Location: Houston, Texas 

  • Employment Type: Full-time, flexible schedule 
  • Compensation: Competitive compensation commensurate with experience, plus comprehensive benefits (medical, dental, vision, 401(k), paid time off).

  • Work Environment: Collaborative and innovative team culture focused on continuous improvement and professional growth.

Join IPT Global and help us shape the next generation of software that supports the energy industry's drive toward safety, efficiency, and innovation.