ZipRecruiter

Log In

1

Data Analyst Data Science Jobs in Houston, TX (NOW HIRING)

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Bachelors degree in Data Science, Statistics, Mathematics, Engineering, or a related field. * Proven experience as a Data Analyst, preferably in an engineering consulting or similar environment.

NAVA Software Solutions

Sr. Data Analyst Snowflake

Houston, TX · On-site

$82K - $103K/yr

Collaborate with business analysts, data scientists, and other stakeholders to understand business requirements and provide data-driven solutions. * Act as a subject matter expert, providing guidance ...

Foxconn Assembly LLC

Data Analyst

Houston, TX · On-site

Bachelor's degree in Data Analytics, Data Science, Information Systems or related fields. * Any Tableau or data visualization professional certifications are a plus.

bwp

Lead / Sr Analyst Data Scientist

Houston, TX

The ideal candidate combines strong analytical skills with deep technical expertise in cloud-based data science tools, particularly within the Databricks and Amazon Web Services (AWS) ecosystem. This ...

PureWay Compliance, Inc

Senior Data Analyst

Katy, TX · On-site

$90K - $100K/yr

Bachelor's degree in Data Analytics, Statistics, Business Analytics, Computer Science, Mathematics, Finance, or a related field * 7+ years of professional data analytics experience * Advanced ...

PureWay Compliance, Inc.

Senior Data Analyst

Katy, TX · On-site

$78K - $99K/yr

Bachelor's degree in Data Analytics, Statistics, Business Analytics, Computer Science, Mathematics, Finance, or a related field * 7+ years of professional data analytics experience * Advanced ...

Varsity Tutors

Data Science Tutor

Pearland, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Houston, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Missouri City, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Sugar Land, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

H-GAC

Data Analyst

Houston, TX · On-site

Apply advanced knowledge in economics, statistics, and data science to develop forecasting models and simulations that guide policy and project development. * Manage and analyze large datasets, build ...

next page

Showing results 1-20

All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Houston, TX

Data Analyst Data Science information

See Houston, TX salary details

$32.5K

$78.9K

$129.9K

How much do data analyst data science jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data analyst data science in Houston, TX is $78,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

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

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are popular job titles related to Data Analyst Data Science jobs in Houston, TX?

For Data Analyst Data Science jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Science jobs in Houston, TX look for?

The top searched job categories for Data Analyst Data Science jobs in Houston, TX are:

What cities near Houston, TX are hiring for Data Analyst Data Science jobs?

Cities near Houston, TX with the most Data Analyst Data Science job openings:

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $78,919 per year, or $37.9 per hour.

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

Houston, TX • On-site

Hudson Manpower
See more jobs at Hudson Manpowerexternal

$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.

Apply