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Data Analytics Graduate Jobs in Houston, TX (NOW HIRING)

ConocoPhillips

Graduate, Engineering 2027

Houston, TX · On-site

... data analytics for optimization • Developing reservoir models, forecasting production After ... Senior or Graduate Student * Expected graduation date: Fall 2026 or Spring/Summer 2027 Preferred:

Borusan Mannesman

Financial Analyst

Houston, TX · On-site

... graduate or 1-3 years of experience in finance, accounting, audit, or analytics ✅ Advanced Excel skills and strong analytical capabilities ✅ Curiosity about AI, data analytics, automation, and ...

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All JobsData Analytics Graduate JobsData Analytics Graduate Jobs in Houston, TX

Data Analytics Graduate information

See Houston, TX salary details

$23

$52

$90

How much do data analytics graduate jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data analytics graduate in Houston, TX is $52.28, according to ZipRecruiter salary data. Most workers in this role earn between $42.02 and $59.23 per hour, depending on experience, location, and employer.

What is a data analytics graduate?

A Data Analytics Graduate job is an entry-level role designed for recent graduates with a background in data science, statistics, or related fields. It typically involves collecting, cleaning, analyzing, and visualizing data to help organizations make data-driven decisions. Graduates in this role may work with tools like SQL, Python, Excel, and data visualization software to interpret trends and patterns. They often collaborate with different departments to provide insights that optimize business processes. This role serves as a foundation for more advanced positions in data analytics or data science.

What are typical career paths or growth opportunities for a data analytics graduate?

As a Data Analytics Graduate, you often start by supporting more senior analysts with data preparation, exploratory analysis, and report generation. Over time, you can advance to positions such as Data Analyst, Business Intelligence Analyst, or Data Scientist, depending on your interests and ongoing skill development. Many organizations encourage further training and offer mentorship to help you specialize in areas like machine learning, data engineering, or domain-focused analytics. With experience and demonstrated impact, leadership roles such as Analytics Manager or Team Lead become attainable, providing broader responsibilities and strategic input into organizational decision-making.

What are the key skills and qualifications needed to thrive in the data analytics graduate position, and why are they important?

To thrive as a Data Analytics Graduate, you need a solid understanding of statistics, data modeling, and analytical techniques, usually supported by a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is highly valued, and certifications in these can provide an added advantage. Strong problem-solving abilities, attention to detail, and effective communication skills help you distill complex data sets into actionable insights and present findings to diverse stakeholders. These skills are essential for delivering data-driven solutions that support business decisions and foster organizational growth.

Is a master's degree in data analytics worth it?

For a data analytics graduate, a master's degree can enhance technical skills such as statistical analysis and data visualization, potentially leading to higher-level roles and increased salary. However, practical experience, certifications, and proficiency with tools like SQL and Python are also highly valued in the field and can sometimes substitute for advanced degrees. The decision depends on career goals and the specific requirements of employers in the industry.

What can I do with a master's degree in data analytics?

A master's degree in data analytics prepares graduates for roles such as data analyst, data scientist, or business intelligence analyst, involving skills in statistical analysis, data visualization, and programming with tools like SQL, Python, or R. These roles typically require strong analytical thinking, familiarity with data management, and the ability to interpret complex data to support decision-making.

What kind of jobs can I get with a degree in data analytics?

A degree in data analytics qualifies you for roles such as data analyst, business analyst, data scientist, and operations analyst. These positions involve analyzing data sets, creating reports, and supporting decision-making using tools like Excel, SQL, and visualization software. Strong analytical skills and knowledge of statistical methods are essential for these jobs.

What are the most commonly searched types of Data Analytics Graduate jobs in Houston, TX?

The most popular types of Data Analytics Graduate jobs in Houston, TX are:

What are popular job titles related to Data Analytics Graduate jobs in Houston, TX?

For Data Analytics Graduate jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Data Analytics Graduate jobs in Houston, TX look for?

The top searched job categories for Data Analytics Graduate jobs in Houston, TX are:

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

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

Data Analytics Graduate jobs near you
Infographic showing various Data Analytics Graduate 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 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $108,746 per year, or $52.3 per hour.

AI Platforms Analytics and Governance Lead

HP Development Company, L.P.

Spring, TX • On-site

$130K - $205K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 10 days ago

Job description

AI Platforms Analytics and Governance Lead
Description -
Job Summary
The rapid adoption of AI platforms such as GitHub Copilot, Azure OpenAI, and enterprise AI agents has created a need for specialized expertise to monitor usage patterns, optimize consumption, control costs, and maximize business value. Traditional Data Analyst roles primarily focus on reporting and dashboarding, while traditional Data Scientist roles focus on model development and machine learning. This position combines both disciplines to provide actionable insights, predictive analytics, and cost optimization strategies for enterprise AI investments. This will provide sustainable enterprise-scale AI adoption by balancing innovation, governance, cost management, and business value realization.
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, and cost optimization strategies for enterprise AI investments. The role works closely with teams across the organization to understand their data needs, provide insights, and support their data-related initiatives.
Responsibilities
  • Manage and optimize enterprise AI platforms including GitHub Copilot and OpenAI.
  • Define platform standards, governance policies, and model consumption guidelines.
  • Evaluate emerging AI technologies and recommend adoption strategies.
  • Partner with security, legal, privacy, and compliance teams.
  • Develop budget guardrails and cost allocation strategies.
  • Create consumption forecasting models and executive dashboards.
  • Identify optimization opportunities including:
    • Prompt engineering
    • Prompt caching
    • Model routing
    • Token reduction
    • Context window optimization
    • RAG optimization
    • Batch processing
    • Agent orchestration improvements
  • Defines and creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects.
  • Analyzing AI platform usage, token consumption, licensing utilization, and user adoption trends.
  • Developing forecasting models to predict AI credit consumption, budget requirements, and capacity needs.
  • Leverages recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, development partners, and industry standards groups.
  • Drives innovation and integration of new data science related technologies and practices into projects and activities in the business.
  • Stays up-to-date with emerging technologies and trends in the business intelligence field, and recommends innovative solutions.
  • Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction.
  • Provides mentorship and guidance to lower-level employees, thus ensuring the realization of operational and strategic plans.
  • Creating executive dashboards and KPIs to measure AI adoption, business value realization, and return on investment.
  • Performing statistical analysis and machine learning techniques to detect anomalies, forecast spend, and recommend efficiency improvements.
  • Partnering with platform owners, engineering teams, finance, procurement, and business stakeholders to drive data-driven decisions.

Education & Experience Recommended
  • Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
  • Typically has 10+ years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.

Preferred Certifications
• Programming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills
• Agile Methodology
• Business Intelligence
• Computer Science
• Dashboard
• Data Analysis
• Data Management
• Data Modeling
• Data Quality
• Data Science
• Data Visualization
• Data Warehousing
• Extract Transform Load (ETL)
• Machine Learning
• Power BI
• Python (Programming Language)
• R (Programming Language)
• SAS (Software)
• SQL (Programming Language)
• Statistics
• Tableau (Business Intelligence Software)
Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity
Impact & Scope
• Impacts large functions and leads large, cross-division functional teams or projects.
Complexity
• Provides highly innovative solutions to complex problems within established policy.
Pay & Benefits
The pay range for this role is $130,700 to $205,200 USD annually with additional
opportunities for pay in the form of bonus and/or equity (applies to United
States of America candidates only). Pay varies by work location, job-related
knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave
  • US benefits overview https://hpbenefits.ce.alight.com/

The compensation and benefits information is accurate as of the date of this
posting. The Company reserves the right to modify this information at any time,
with or without notice, subject to applicable law.
Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Yes
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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