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Data Analyst Computer Science Jobs in Houston, TX

Gunvor

BI Data Analyst

Houston, TX · On-site

Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or a related field. * Microsoft certifications in Power BI / Power Platform / Fabric are highly ...

Entegra LLP

Data Analyst III

Houston, TX · On-site

Data Analysis Level III is responsible for analyzing In-Line Inspection (ILI) data and verifying ... Advanced proficiency with operating relevant customized and over-the-counter computer software ...

Entegra LLP

Data Analyst III

Houston, TX

Data Analysis Level III is responsible for analyzing In-Line Inspection (ILI) data and verifying ... Advanced proficiency with operating relevant customized and over-the-counter computer software ...

Scanning Solutions

Data Quality Analyst

League City, TX · Remote

$28 - $39/hr

Bachelor's degree in data analytics, information systems, business, computer science, or a related field preferred. * Previous experience in data analysis, quality assurance, data management ...

bwp

Lead / Sr Analyst Data Scientist

Houston, TX · On-site

We are currently looking for an Lead / Sr Analyst Data Scientist for our Houston, TX office ... Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, or a ...

New

Waste Connections

Data Scientist

The Woodlands, TX · On-site

Collaborate with data engineers, analysts, and technology teams on enterprise initiatives Qualifications * Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering ...

Hewlett Packard Enterprise

Data Scientist

Spring, TX

Data Scientist This role has been designed as ''Onsite' with an expectation that you will primarily ... analytic models (e.g. advanced statistics, operations research, computer science, process) to ...

Varsity Tutors

AP Computer Science A Tutor

Houston, TX · Remote

$18 - $40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Varsity Tutors

AP Computer Science A Tutor

Pearland, TX · Remote

$18 - $40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

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Data Analyst Computer Science information

See Houston, TX salary details

$32.5K

$78.9K

$129.9K

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

As of Aug 21, 2026, the average yearly pay for data analyst computer 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 is a data analyst in computer science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

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

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

How does a data analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and problem-solving skills. Data analysts often use tools like SQL, Excel, and statistical software, and a knowledge of programming languages such as Python or R is beneficial for data manipulation and analysis.

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

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

Data Analyst Computer Science jobs near you
Infographic showing various Data Analyst Computer Science job openings in Houston, TX as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $78,919 per year, or $37.9 per hour.

BI Data Analyst

Gunvor

Houston, TX • On-site

Full-time

Re-posted 12 days ago

Job description

Job Title:
BI Data Analyst
Contract Type:
Permanent
Time Type:
Full time
Job Description:
Scope of the role
Reporting to the Global IT Project Manager, the BI Data Analyst is responsible for designing, delivering, and supporting enterprise-grade business intelligence and analytics solutions using Microsoft Power BI and the Power Platform, with a strong focus on supporting commodity trading (e.g. oil, metal, gas, power, LNG, derivatives), shipping and trade lifecycle activities (e.g. operation, risk management, contract, settlement, letter of credit, etc.). The role is critical for translating trading-specific data insights into actionable business decisions.
The role acts as a subject-matter expert (SME) for Power BI while also possessing strong business analysis capabilities, enabling data-driven decision-making through high-quality dashboards, governed datasets, automation, and strong stakeholder engagement.
Main Responsibilities
Strategic Collaboration & Business Alignment
  • Partner with business users, senior management, and IT stakeholders to understand analytical needs and translate them into actionable BI solutions.
  • Work closely with commodity traders, risk managers, and business teams to ensure that the analytical solutions are aligned with market, trading and operation activities.
  • Gather, document, and validate business requirements; recommend analytical approaches aligned with business objectives.
  • Translate complex commodity trading business problems into technical designs that deliver clear insights and measurable business value.
  • Proactively engage with senior business stakeholders to identify areas of improvement in trading and shipping operations and support business development through data-driven insights.

Innovation & Product Development
  • Design, develop, and maintain Power BI datasets, reports, and dashboards to meet evolving business requirements.
  • Build and deliver end-to-end analytical and automation solutions using Power BI, Power Apps, Power Automate, and AI Builder tailored to the commodity trading and shipping business.
  • Build solution prototypes where needed to validate concepts and accelerate delivery.
  • Work closely with the data architect and data engineering team to design and deliver analytics-ready datasets through data ingestion, cleansing, and transformation.
  • Document analytical logic, data models, and datasets to support advanced analytics and future enhancements

BI Adoption & Enablement
  • Act as the go-to expert for Power BI and data analytics-related user queries within the commodity trading and shipping domain.
  • Conduct Power BI end-user training sessions and provide ongoing guidance and best-practice support.
  • Promote effective BI usage patterns and self-service analytics across the organization
  • Advocate for the importance of data governance and business rules specific to commodity trading and shipping to enhance the accuracy and timeliness of trading decisions.

Operational Excellence
  • Enforce BI governance standards and best practices to maintain data quality, consistency, and auditability, ensuring that data used in trading decisions is highly reliable and actionable.
  • Monitor and optimize report performance and dataset refreshes to ensure stability and scalability.
  • Maintain clear technical documentation, release artifacts, and operational procedures

Profile
  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or a related field.
  • Microsoft certifications in Power BI / Power Platform / Fabric are highly preferred.
  • Strong understanding of commodity trading environments is required (oil, metal, gas, power, LNG, derivatives). In-depth knowledge of the trading lifecycle, including market trends, operation, PnL, positions, settlements and risk management, is essential.
  • Experience working with trading data (e.g., PnL, risk, positions, settlements) and ETRM systems is highly preferred.
  • Strong expertise in Microsoft Power Platform, with Power BI as a core specialization (SME level).
  • Excellent SQL skills and solid understanding of data modelling concepts.
  • Strong business analysis skills, capable of interpreting trading requirements and translating them into technical deliverables.
  • Strong analytical and problem-solving skills with attention to detail.
  • Strong stakeholder management skills, capable of exceeding stakeholder expectations, particularly in the context of trading and business analysis.
  • Self-motivated, proactive, and well-organized, with strong time-management skills.
  • Comfortable working under pressure in a fast-paced, trading-focused environment.
  • Team player with a collaborative mindset.
  • Fluent in English (spoken and written). Any other language is an asset.

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