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

Varsity Tutors

College Computer Science Tutor

Houston, TX · Remote

$18 - $40/hr

Ability to explain time complexity analysis, sorting algorithms, graph traversal, memory management ... Familiar with college computer science curricula and common challenges such as understanding ...

TanPro Technologies

Systems Analyst

Katy, TX · On-site

Education/Experience Requires Bachelor's degree or foreign equivalent in Computer Science ... Summary Systems Analyst Email resume with cover letter to hr@tanprotech.com Skills and Competencies

Computer Futures

Programmer Analyst 3

Houston, TX · On-site

... computer science or related field or equivalent experience Preferred : • Experience working in a healthcare environment preferred. • Understanding of HL7 standards. • Knowledge of ITIL is an ...

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Computer Science Analyst information

See Houston, TX salary details

$13

$31

$61

How much do computer science analyst jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for computer science analyst in Houston, TX is $31.74, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $36.97 per hour, depending on experience, location, and employer.

How do I become an IT analyst?

To become a computer science analyst, you typically need a bachelor's degree in computer science, information technology, or a related field. Gaining experience with data analysis, programming languages, and IT systems is important, along with certifications such as CompTIA or Cisco. Strong analytical skills and knowledge of database management and cybersecurity are also valuable for this role.

How does a Computer Science Analyst typically collaborate with other departments within an organization?

Computer Science Analysts frequently work cross-functionally, partnering with teams such as software development, IT, and business operations to analyze data, improve systems, and implement technology solutions. They often act as a bridge between technical specialists and non-technical stakeholders, translating business needs into actionable technical requirements. Effective communication and collaboration are crucial, as analysts may participate in meetings, provide regular updates, and help troubleshoot challenges that arise during project implementation.

Is computer science dead due to AI?

As a Computer Science Analyst, the field remains vital as AI advances, requiring expertise in algorithms, programming, and data analysis. AI creates new opportunities for software development, research, and system design, making computer science an evolving and essential discipline.

What are the key skills and qualifications needed to thrive as a Computer Science Analyst, and why are they important?

To thrive as a Computer Science Analyst, you need a solid background in programming, data analysis, and problem-solving, usually supported by a degree in computer science or a related field. Familiarity with analytical tools such as SQL, Python, data visualization software, and sometimes certifications like CompTIA Data+ or Microsoft Certified: Data Analyst Associate is highly beneficial. Strong analytical thinking, attention to detail, and effective communication set top performers apart in this position. These skills ensure that analysts can interpret complex data, provide actionable insights, and collaborate effectively to support organizational goals.

What does a computer science analyst do?

A computer science analyst evaluates and develops computer systems, software, and data solutions to improve organizational efficiency. They analyze technical requirements, design algorithms, and may use programming languages and tools like SQL or Python to implement solutions, often working in teams and adhering to project deadlines.

Will AI replace system analyst?

A computer science analyst, including system analysts, works to design and improve information systems. While AI can automate certain tasks like data analysis and system monitoring, human analysts are essential for understanding complex business needs, making strategic decisions, and managing system implementation. Therefore, AI is more likely to augment rather than fully replace system analysts.
What are popular job titles related to Computer Science Analyst jobs in Houston, TX? For Computer Science Analyst jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Computer Science Analyst jobs in Houston, TX look for? The top searched job categories for Computer Science Analyst jobs in Houston, TX are:
Computer Science Analyst jobs near you
Infographic showing various Computer Science Analyst 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 $66,017 per year, or $31.7 per hour.
Senior Data Science Analyst - OptimusAI

Senior Data Science Analyst - OptimusAI

McKinsey & Company

Houston, TX • On-site

$82K - $103K/yr

Full-time

Posted 5 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

15th of 58 rated business consultants

Job description

Job Summary:
McKinsey & Company is a global consulting firm that focuses on driving lasting impact and building long-term capabilities for clients. As an OptimusAI Senior Data Science Analyst, you will work with leading companies in the Energy and Materials sector to enhance their productivity using AI, collaborating with a multi-disciplinary team to develop innovative products and algorithms.
Responsibilities:
• Collaborating in a dynamic, multi-disciplinary team of 3-6 experts, you will use your creativity and analytics expertise to enhance client performance in areas such as energy efficiency, product quality, and capacity.
• You will be working side-by-side with the client’s process engineers and analytics specialists and will be communicating your work to executive audiences.
• Internally, you will collaborate with our talented product engineers to develop innovative products and algorithms to address current and future client needs.
• You will help codify best practices, radiate our impact in/externally and shape the product roadmap.
• You will benefit from world-class training in business problem structuring and client advisory, while working closely with senior manufacturing and analytics experts.
• You will experience unparalleled career growth with significant ownership and responsibility from day one, all within a collaborative, diverse, and non-hierarchical environment.
• You can seize the opportunity to travel to client sites, locally and around the world.
Qualifications:
Required:
• Degree in a discipline such as computer science, applied statistics, mathematics, analytics, engineering, machine learning or equivalent
• 3+ years of relevant professional experience in advanced analytics, ideally in the context of heavy industry
• Ability to write clean and efficient code in Python; ideally with experience in using cloud computing resources (e.g., AWS, GCP, Azure)
• Ability to apply and advise on state-of-the-art analytics, machine learning, and optimization techniques to derive business insights and solve complex problems
• Excellent problem-solving skills paired with the ability to develop creative and effective solutions
• Ability to thrive in a flexible, multi-disciplinary and agile working environment
• Track record of completing projects successfully on time as per scope
• Willingness to travel to other offices and/or client locations for short/long term assignments
• Strong interpersonal communication skills; experience in facilitating discussions with leadership
Company:
McKinsey & Company is a global management consulting firm. We are the trusted advisor to the world's leading businesses, governments, and institutions. Founded in 2014, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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