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Statistical Data Analysis Jobs in Texas (NOW HIRING)

BMS Data Analysis Engineer

Houston, TX · On-site

$109K - $131K/yr

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

Senior Data Analysis

Dallas, TX · On-site

$118K - $178K/yr

Analyze data using statistical methods to identify trends and insights, creating reports and recommendations for business decisions. * Reporting and Visualization: Create clear, factual/precise, and ...

Statistical Programmer II

Dallas, TX · On-site

$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.

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.

Statistical Programmer II

Austin, TX · On-site

$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.

Use coding skills to get the data needed for your team's analyses * Apply your arsenal of creative ... Basic statistics knowledge Added bonus if you have * MBA or Master's degree in an analytical field.

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.

Data Analyst

Fort Worth, TX · Hybrid

$92K - $166K/yr

Perform exploratory data analysis (EDA), including univariate, bivariate, and multivariate analysis. * Apply statistical methods and predictive modeling techniques such as linear regression and other ...

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 ...

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 8, 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 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.

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.

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 often start around the national average, while experienced analysts with advanced skills in programming and data visualization can earn significantly higher wages, especially in high-demand sectors.

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, SAS, or Python, and often require strong analytical skills and knowledge of statistical methods. The role typically involves data visualization, reporting, and ensuring data accuracy.

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 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 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 $70,370 per year, or $33.8 per hour.

BMS Data Analysis Engineer

Microvast

Houston, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 7 days ago


Job description

Job Summary:
Microvast is a technology innovator that designs, develops and manufactures lithium-ion battery solutions. They are seeking a highly skilled BMS Data Analysis Engineer to join their team, responsible for designing, developing, and optimizing advanced algorithms to solve complex problems in battery systems.
Responsibilities:
• Collect, clean, and organize data from battery testing (cell/module/pack), BMS logs and field operating data.
• Develop and maintain scalable data pipelines and dashboards for continuous monitoring.
• Ensure data quality, traceability, and consistency across various sources.
• Perform statistical analysis and trend evaluation to identify anomalies, degradation patterns, and performance deviations.
• Collaborate with system engineers and test engineers to define data requirements for validation and verification.
• Conduct root-cause analysis of battery failures, safety events, and performance issues based on battery data.
• Provide data-driven recommendations to optimize test plans, test coverage, and acceptance criteria.
• Document findings, methodology, and tools in a structured and reproducible way.
• Work with BMS developers to validate algorithms and improve control strategies.
• Support field service, warranty, and quality teams with in-depth data analysis.
• Participate in continuous improvement initiatives for battery lifecycle management.
Qualifications:
Required:
• Master’s or PhD in Computer Science, Mathematics, Engineering, or a related field.
• 2–5 years of experience in data analysis, preferably in battery systems, energy storage, or electric vehicles.
• Strong proficiency in Python, SQL, and common data science libraries (numpy, pandas, scipy, scikit-learn).
• Hands-on experience with data visualization tools (e.g., Power BI, Tableau, matplotlib, Plotly).
• Good understanding of lithium-ion battery behavior, including SoC/SoH calculation, degradation, thermal behavior, and charging/discharging characteristics.
• Proficiency in programming languages such as Python, C++, or similar.
• Solid understanding of mathematical and statistical modeling techniques.
• Experience with large-scale data processing and optimization techniques.
• Ability to work collaboratively in a team environment and communicate technical concepts effectively.
• Strong problem-solving skills and the ability to think critically under challenging scenarios.
• Creative thinking skills & Strong analytical skills
• Ability to communicate well with other members of the development team
Preferred:
• Hands-on experience with machine learning frameworks is a plus.
• Familiarity with cloud computing and distributed computing frameworks
Company:
Microvast designs, develops, and manufactures charging, battery control systems for electric vehicles with superior safety. Founded in 2006, the company is headquartered in Stafford, USA, with a team of 1001-5000 employees. The company is currently Late Stage.