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

TestingXperts

Big Data Analytics Process

Houston, TX · On-site

Big Data Analytics Process Location: Houston, TX Must Have Skills (Top 2 technical skills only ... Masters or Ph.D. in Mathematics, Statistics, Computer Science, Operations Research, Engineering ...

techgenomics

Big Data Architect

Houston, TX · On-site

$61 - $78.25/hr

Hands on IT Architect with Big Data Analytics and Cloud based software development in Oil and Gas ... Masters Degree Additional Information All your information will be kept confidential according to ...

techgenomics

Big Data Architect

Houston, TX · On-site

$61 - $78.25/hr

Hands on IT Architect with Big Data Analytics and Cloud based software development in Oil and Gas ... Masters Degree Additional Information All your information will be kept confidential according to ...

Mwe

Senior Manager, AI & Analytics

Houston, TX · On-site

Bachelor's degree in Accounting, Finance, Information Systems, Business Administration, Data Analytics, Computer Science, or related field required * Master's degree, MBA, CPA, CMA, or equivalent ...

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

Data Analytics Masters information

See Houston, TX salary details

$22.8K

$99.2K

$177.4K

How much do data analytics masters jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data analytics masters in Houston, TX is $99,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,514.00 and $129,389.00 per year, depending on experience, location, and employer.

What is a data analytics master?

A Data Analytics Masters job typically involves analyzing large datasets to extract insights that help businesses make data-driven decisions. Professionals in this role use statistics, machine learning, and data visualization tools to interpret trends and patterns. They commonly work in industries like finance, healthcare, marketing, and technology. Strong analytical skills, programming knowledge (e.g., Python, SQL, R), and expertise in data visualization tools (e.g., Tableau, Power BI) are essential.

What is a data analytics master's degree?

A Data Analytics Masters degree is a graduate-level program that focuses on teaching students advanced skills in analyzing, interpreting, and visualizing data to help organizations make data-driven decisions. The program typically covers topics such as statistics, machine learning, data mining, data visualization, and programming languages like Python or R. Graduates are prepared for careers in data science, business analytics, and related fields, where they can apply analytical techniques to solve real-world problems. This degree is ideal for individuals who want to deepen their understanding of data and pursue specialized roles in analytics.

What are the key skills and qualifications needed to thrive as a data analytics master?

To thrive as a Data Analytics professional with a master's degree, you need strong analytical skills, expertise in statistics, and advanced knowledge of data modeling, typically supported by a relevant STEM degree. Proficiency with tools such as SQL, Python, R, Tableau, and familiarity with machine learning platforms is commonly required, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate. Excellent problem-solving abilities, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills and qualifications are essential for transforming raw data into strategic decisions that drive organizational success.

What types of real-world projects or collaboration opportunities can a data analytics master expect during their studies?

Data Analytics Masters programs often include hands-on projects where students work with real datasets from industry partners or simulate actual business scenarios. These projects typically involve teamwork, allowing students to collaborate with peers and sometimes with professionals from related fields such as business, engineering, or IT. This collaborative environment helps students develop both technical and communication skills, and provides valuable exposure to industry-standard tools and workflows. Additionally, these experiences can lead to networking opportunities and open doors for internships or job placements upon graduation.

What is the difference between Data Analytics Masters vs Data Analyst?

AspectData Analytics MastersData Analyst
CredentialsTypically requires a master's degree in data science, analytics, or related fieldUsually requires a bachelor's degree in a related field; certifications can enhance prospects
Work EnvironmentAcademic, research, or advanced industry roles; often involves project-based workBusiness environments, working with data to generate reports and insights
Industry UsageUsed in academia, research institutions, and advanced analytics roles in industryCommon across industries like finance, healthcare, marketing, and technology

In summary, a Data Analytics Masters is an advanced qualification often required for specialized or research roles, while a Data Analyst is a more entry-level or mid-level position focused on analyzing data to support business decisions. Both roles share overlapping skills but differ in educational requirements and scope of work.

Is a master's in data analytics worth it?

A master's in data analytics can enhance job prospects for data analysts and related roles by providing advanced skills in statistical analysis, programming, and data visualization tools. It often leads to higher salaries and more senior positions, but the value depends on individual career goals and industry demand.

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

A master's in data analytics prepares individuals for roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These roles involve analyzing large datasets, creating reports, and using tools like SQL, Python, or R to support decision-making across various industries.

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

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

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

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

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

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

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

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

Data Analytics Masters jobs near you
Infographic showing various Data Analytics Masters job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $99,211 per year, or $47.7 per hour.

Big Data Analytics Process

Houston, TX • On-site

TestingXperts
IT Services • 1 - 5K employees
Learn more about TestingXpertsexternal

Full-time

Re-posted 16 days ago

Job description

Company Description

Greetings for the day!
My name is Suneetha from Testing Xperts, we are a global staffing, consulting and technology solutions company, offering industry-specific solutions to our fortune 500 clients and worldwide corporations.

Thanks & Regards,

Suneetha. G

+1 631-759-8044 EXT 303 (O)

+1 347-826-3427 (F)

Job Description

Role: Big Data Analytics Process

Location: Houston, TX

Job Description:

Must Have Skills (Top 2 technical skills only)
Minimum 8 years of relevant experience in applying data mining, artificial intelligence, signal processing, machine learning, optimization etc. in business analytics or scientific/engineering settings

Experience with statistical software, scripting languages, tools, and platforms (e.g., R, Python, Hadoop etc.)

Nice to have skills (Top 2 only)
A demonstrated ability to solve challenging business problems using a data science approach by developing novel and/or adapting existing computational methods

Strong skills in communicating and presenting data-derived insights to non-technical audiences appropriately.

Desired years of experience : 8+ Years

Education/ Certifications (Required) : Masters or Ph.D. in Mathematics, Statistics, Computer Science, Operations Research, Engineering Science.

Top 3 responsibilities you would expect the subcon to shoulder and execute:
1. Collaborate with business users to identify, elaborate and prioritize Analytics Uses cases.
2. Processing, cleansing, and verifying the integrity of data used for analysis
3. Apply analytical rigor and statistical methods to analyze large amounts of data, using advanced analytics techniques. And, presenting data insights using high impact visualization

Will the candidate be client facing and/or working with business users? Yes

What is the team size, make up, culture, soft skills, and dress code, Hours?
The data scientist role will support Information Technology (IT) team to engage with business stakeholders on their advanced analytics requirements.

Qualifications

Graduates

Additional Information

All your information will be kept confidential according to EEO guidelines.

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