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Data Science And Analytics Jobs in Houston, TX (NOW HIRING)

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 ...

ShiftCode Analytics, Inc.

Data Scientist

Houston, TX · On-site

... science projects, identifying opportunities, analyzing data, and delivering insights to solve business problems. Responsibilities : • Work independently on data science / Client projects for ...

YO AI Labs

AI Data Science Expert - Remote

Houston, TX · Remote

$100 - $200/hr

No prior AI experience is required--your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities * Review, edit, and refine AI-generated ...

MOREgroup

Manager, Data Science & Services

Spring, TX · On-site

$120 - $160/hr

... data science, data engineering, data integration, and data warehousing. This role will be ... Build and optimize data warehouses and analytical data models to enable accurate, accessible, and ...

Guidehouse

Epidemiologist Data Scientist

Houston, TX · On-site

$80K - $133K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking an Epidemiologist Data Scientist to support epidemiologic ...

Paladin Consulting

Data Scientist

The Woodlands, TX · On-site

... Data Science, Machine Learning, Analytics, or a related discipline * This role will partner with business leaders to solve complex operational and strategic challenges through analytics, machine ...

New

Guidehouse

Analytics Modernization Lead

Houston, TX · On-site

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking an Analytics Modernization Lead to lead the modernization ...

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All JobsData Science And Analytics JobsData Science And Analytics Jobs in Houston, TX

Data Science And Analytics information

See Houston, TX salary details

$35.8K

$117.2K

$187.7K

How much do data science and analytics jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data science and analytics in Houston, TX is $117,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $129,900.00 per year, depending on experience, location, and employer.

What is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.

What are the key skills and qualifications needed to thrive as a data science and analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.

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

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

Data Science And Analytics jobs near you
Infographic showing various Data Science And Analytics 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 $117,212 per year, or $56.4 per hour.

Program Analytics & Data Visualization Specialist

Houston, TX • On-site, Remote

Guidehouse
Business Management Consulting • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants

People enjoy working here

Good employer

Paid breaks

Learn more about Guidehouseexternal

$80K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago

Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

  • Design, develop, and maintain interactive dashboards, reports, and visual analytics solutions using Microsoft Power BI.

  • Gather and translate business, operational, programmatic, and stakeholder requirements into actionable analytics and reporting products.

  • Develop and optimize Power BI data models, semantic models, DAX measures, calculated columns, and performance-tuned reporting solutions.

  • Design and implement data transformation workflows using Power Query (M) and related extract, transform, and load (ETL/ELT) processes.

  • Conduct statistical, trend, and quantitative analyses to support program evaluation, operational decision-making, performance measurement, and reporting requirements.

  • Perform geospatial analysis and geographic visualization using Power BI mapping capabilities, GIS tools, and spatial datasets.

  • Analyze, profile, validate, and monitor data quality to ensure reporting accuracy, consistency, and reliability.

  • Collaborate with program leaders, technical teams, data stewards, and client stakeholders to define metrics, KPIs, reporting standards, and analytical approaches.

  • Support public health, healthcare, government, or mission-focused analytics initiatives through data-driven insights and visualization.

  • Leverage emerging artificial intelligence and machine learning capabilities to enhance analytics workflows, reporting efficiency, data discovery, and decision support.

  • Develop technical documentation, data dictionaries, dashboard user guides, and reporting methodologies.

  • Present findings, recommendations, and analytical insights to technical and non-technical audiences.


What You Will Need:

  • Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.

  • Bachelor's degree.

  • FIVE (5) or more years of experience in business intelligence, analytics, reporting, data visualization, public health informatics, healthcare analytics, or a related field.

  • Experience designing, developing, and administering enterprise Power BI solutions.

  • Experience with:

    • Power BI Desktop

    • Power BI Service

    • DAX optimization and performance tuning

    • Power Query (M)

    • Data modeling and dimensional design

    • Row-level security

    • Deployment pipelines

    • Data gateway configuration

    • Enterprise reporting architecture

  • Experience leading stakeholder engagement sessions and translating business objectives into scalable analytical solutions.

  • Experience implementing data governance processes, reporting standards, and data quality frameworks.

  • Experience mentoring junior analysts and supporting analytical delivery teams.

  • Experience performing advanced statistical analyses and developing executive-level reporting products.


What Would Be Nice To Have:

  • Master's degree in Public Health, Health Informatics, Data Science, Analytics, Statistics, Computer Science, Information Systems, Geography/GIS, or a related field.

  • Demonstrated understanding of AI-enabled analytics, generative AI, machine learning concepts, or intelligent automation.

  • Experience supporting federal health, public health, healthcare, or government programs.

  • Experience with public health informatics standards, data exchange, surveillance, epidemiology, or population health analytics.

  • Experience with GIS and geospatial analytics tools such as ArcGIS, ArcGIS Online, or QGIS.

  • Experience with Python, R, SAS, SPSS, or other analytical/statistical programming tools.

  • Experience with cloud-based data and analytics platforms including: Databricks, Snowflake, Palantir Foundry, Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric

  • Familiarity or experience with Power Platform technologies including: Power Apps, Power Automate, Power Pages, Power Virtual Agents

  • Familiarity with data integration, API connectivity, and enterprise data architectures.

  • Knowledge of responsible AI, AI governance, AI literacy, or AI implementation practices.

  • Microsoft certifications such as: Power BI Data Analyst Associate, Fabric Analytics Engineer Associate, Azure Data Engineer Associate

  • Experience supporting Agile project delivery environments.

The annual salary range for this position is $80,000.00-$133,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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