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Statistical Analysis Data Reconfiguration Jobs in Houston, TX

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.

EDUCATION Bachelor's degree in Data Analytics, Business, Supply Chain, Statistics, or related field. YEARS OF EXPERIENCE 3-5 years in business analysis, data analysis, or reporting roles within a ...

Exemption Type Exempt (Salaried) Job Requirements EDUCATION Bachelor's degree in Data Analytics, Business, Supply Chain, Statistics, or related field. YEARS OF EXPERIENCE 3-5 years in business ...

Data Scientist

Houston, TX · On-site

$90 - $130/hr

Job RequirementsEducation Bachelor's degree in Data Analytics, Business, Supply Chain, Statistics, or related field. Years of Experience 3-5 years in business analysis, data analysis, or reporting ...

SQL * data analysis * reporting solutions * self‑service analytics * dashboard creation * data integration * statistical analysis * data visualization * business intelligence * analytics ...

Statistical Programmer II

Houston, 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.

Research and devise innovative statistical models for data analysis * Communicate findings to all stakeholders * Enable smarter business processes by using analytics for meaningful insights * Keep ...

Associate Data Scientist

Houston, TX · On-site

$56K - $56K/yr

Prepare, validate, and transform data to ensure high-quality analyses and models. Apply statistical, machine learning, and AI techniques to solve healthcare and business problems. Develop, test, and ...

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 ...

This role ensures use of statistical and analytical methods to explore data, identify trends, patterns, and anomalies, and extract actionable insights including model analysis, predictive analytics ...

Data Science Tutor

Pearland, TX · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Sugar Land, TX · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Statistical Analysis Data Reconfiguration information

See Houston, TX salary details

$28.6K

$67.3K

$112.2K

How much do statistical analysis data reconfiguration jobs pay per year?

As of Aug 24, 2026, the average yearly pay for statistical analysis data reconfiguration in Houston, TX is $67,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $77,400.00 per year, depending on experience, location, and employer.

What is the difference between Statistical Analysis Data Reconfiguration vs Data Analyst?

AspectStatistical Analysis Data ReconfigurationData Analyst
Primary FocusRearranging and transforming data sets for analysis readinessInterpreting data to generate reports and insights
Skills & CertificationsStatistical software, data manipulation, certifications like CAP or SASData visualization, SQL, Excel, often with a bachelor's degree in related fields
Work EnvironmentData processing teams, research labs, analytics departmentsBusiness units, marketing, finance, or operations teams

While both roles involve working with data, Statistical Analysis Data Reconfiguration specializes in preparing and transforming data for analysis, whereas Data Analysts focus on interpreting data to produce reports and insights. Understanding these differences helps organizations assign the right skills to each role.

What are popular job titles related to Statistical Analysis Data Reconfiguration jobs in Houston, TX?

For Statistical Analysis Data Reconfiguration jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Statistical Analysis Data Reconfiguration jobs in Houston, TX look for?

The top searched job categories for Statistical Analysis Data Reconfiguration jobs in Houston, TX are:

What cities near Houston, TX are hiring for Statistical Analysis Data Reconfiguration jobs?

Cities near Houston, TX with the most Statistical Analysis Data Reconfiguration job openings:

Infographic showing various Statistical Analysis Data Reconfiguration job openings in Houston, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,278 per year, or $32.3 per hour.

Data Analyst / Data Scientist 4-8 Years - USC/Gc/H4EAD

Hudson Manpower

Houston, TX • On-site

$50K - $75K/yr

Full-time

Posted 5 days ago


Job description


We are seeking experienced Data Analytics / Data Science professionals with 4-8 years of hands-on experience in data analysis, statistical modeling, business intelligence, and/or machine learning. The ideal candidate will have strong expertise in SQL, Python, data visualization, statistical analysis, data modeling, and modern cloud-based data platforms, with the ability to translate complex datasets into actionable business insights.
Experience with modern AI/ML, Generative AI, LLMs, and AI-assisted analytics is highly desirable.
Experience: 4-8 Years
Employment Type: Full-Time W2 Only
Work Authorization: U.S. Citizen / Green Card / H4 EAD
Location: Open to opportunities across the United States
Relocation: Must be willing to relocate anywhere in the U.S. for a suitable opportunity
Key Responsibilities
  • Collect, clean, transform, and analyze structured and unstructured data.
  • Perform Exploratory Data Analysis (EDA) and identify trends, patterns, anomalies, and business opportunities.
  • Develop dashboards, reports, and data visualizations using Power BI, Tableau, or equivalent tools.
  • Write complex and optimized SQL queries for data extraction and analysis.
  • Develop statistical models and machine learning solutions for business problems.
  • Build and evaluate predictive models using appropriate ML algorithms.
  • Perform feature engineering, model validation, and performance evaluation.
  • Work with large-scale datasets using modern data processing technologies.
  • Collaborate with data engineers, software engineers, product teams, and business stakeholders.
  • Communicate analytical findings and recommendations to technical and non-technical stakeholders.
  • Support data quality, governance, validation, and documentation initiatives.
  • Deploy and monitor analytical or machine learning models in production environments where applicable.
  • Leverage AI/GenAI tools to improve data analysis, reporting, automation, and productivity.

Cloud & Modern Data Technologies
Experience with one or more of the following:
  • AWS, Microsoft Azure, or Google Cloud Platform (GCP)
  • Snowflake, Databricks, BigQuery, Redshift, or Azure Synapse
  • Cloud-based data warehouses and data lakes
  • Apache Spark / PySpark
  • ETL/ELT tools and modern data pipeline technologies
  • Airflow, dbt, or equivalent data orchestration/transformation tools
  • Data lakehouse architecture and distributed data processing

AI / Machine Learning / GenAI
Experience with the following is highly desirable:
  • Machine Learning using Scikit-learn, XGBoost, TensorFlow, or PyTorch
  • Generative AI and LLM-based applications
  • Experience working with OpenAI, Azure OpenAI, Amazon Bedrock, Google Vertex AI, or equivalent AI platforms
  • RAG (Retrieval-Augmented Generation) concepts
  • Embeddings and vector databases
  • AI-powered analytics and intelligent automation
  • LLM prompt engineering and evaluation
  • Familiarity with LangChain, LlamaIndex, or similar frameworks
  • Experience using AI coding/analytics assistants such as GitHub Copilot or equivalent tools

Data Engineering & Analytics Exposure
  • Experience working with large and complex datasets.
  • Understanding of data pipelines, ETL/ELT, data ingestion, transformation, and orchestration.
  • Exposure to Kafka or other event-streaming technologies is a plus.
  • Understanding of data governance, lineage, security, and data quality practices.
  • Experience with APIs and integrating data from multiple sources is desirable.

Preferred Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Technology, or a related field.
  • Experience building end-to-end analytics or data science solutions.
  • Experience deploying ML models or analytical applications to cloud environments.
  • Knowledge of MLOps and model lifecycle management.
  • Experience with MLflow, Kubeflow, or equivalent platforms.
  • Understanding of responsible AI, model monitoring, and AI governance.
  • Experience presenting analytical insights to senior stakeholders.

Required Skills
  • 4-8 years of professional experience in Data Analytics, Data Science, Business Intelligence, or a related field.
  • Strong proficiency in SQL, including complex queries, joins, CTEs, window functions, aggregations, and query optimization.
  • Strong hands-on experience with Python for data analysis and/or data science.
  • Experience with Pandas, NumPy, Matplotlib, Seaborn, or equivalent Python libraries.
  • Strong understanding of statistics, probability, hypothesis testing, regression, and statistical analysis.
  • Experience with data visualization and BI tools, such as Power BI, Tableau, Looker, or similar.
  • Understanding of data modeling, ETL/ELT concepts, data quality, and data pipelines.
  • Experience with machine learning concepts and frameworks, including Scikit-learn or equivalent.
  • Experience working with relational databases such as PostgreSQL, MySQL, SQL Server, Oracle, or similar.
  • Strong analytical, problem-solving, and communication skills.
  • Experience working in Agile/Scrum environments.

Core Technology Stack
Python | SQL | Pandas | NumPy | Scikit-learn | PySpark | Power BI | Tableau | AWS | Azure | GCP | Snowflake | Databricks | BigQuery | Spark | Airflow | dbt | Machine Learning | Generative AI | LLMs | RAG | Vector Databases | Git
Candidate Requirements
  • 4-8 years of hands-on professional experience in Data Analytics/Data Science or related roles.
  • Must be authorized to work in the U.S. as a U.S. Citizen, Green Card holder, or H4 EAD holder.
  • W2 only.
  • Must be willing to relocate anywhere in the United States for a suitable opportunity.
  • Strong communication and stakeholder-management skills.
  • Ability to work independently as well as collaboratively in cross-functional teams.