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Data Analytics Masters Jobs (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 ...

Magna

Manager Data Analytics & Engineering

Lowell, MA

$105K - $196K/yr

Bachelor's Degree in Data Science, Computer Science, Mathematics or related field required, Masters Degree strongly preferred * 8+ years of experience in data engineering and data analytics required ...

Magna

Manager Data Analytics & Engineering

Lowell, MA · On-site

$105K - $196K/yr

Bachelor's Degree in Data Science, Computer Science, Mathematics or related field required, Masters Degree strongly preferred * 8+ years of experience in data engineering and data analytics required ...

McKesson

Sr Manager, Data Analytics

Irving, TX

$119K - $198K/yr

McKesson Corporation is seeking a highly skilled and experienced Senior Manager, Data Analytics to ... MBA or advanced degree preferred This role is a hybrid position . The selected candidate is ...

MCKESSON

Sr Manager, Data Analytics

Irving, TX · On-site

$119K - $198K/yr

McKesson Corporation is seeking a highly skilled and experienced Senior Manager, Data Analytics to ... MBA or advanced degree preferred This role is a hybrid position . The selected candidate is ...

McKesson

Sr Manager, Data Analytics

Irving, TX

$119K - $198K/yr

McKesson Corporation is seeking a highly skilled and experienced Senior Manager, Data Analytics to ... MBA or advanced degree preferred This role is a hybrid position . The selected candidate is ...

BBB

Manager, AI and Data Analytics

Dallas, TX · On-site

Position Summary The Manager, AI and Data Analytics leads the strategy, design, and delivery of ... Master's degree (MBA, MIS, or related). * Familiarity with ITIL, TOGAF, or other enterprise ...

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Data Analytics Masters information

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.

What are the key skills and qualifications needed to thrive as a Data Analytics professional with a master's degree, and why are they important?

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 is a Data Analytics Masters 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.

Is 40 too late for data science?

Data Analytics Masters professionals can enter data science at any age, as skills like programming, statistics, and data visualization are learnable later in life. Many successful data scientists start or transition into the field in their 30s or 40s, and continuous learning through online courses and certifications can facilitate this career shift.

What kind of jobs can I get with a master's in data analytics?

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

What types of real-world projects or collaboration opportunities can Data Analytics Masters 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.

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. It often leads to higher salaries and more senior positions, especially when combined with proficiency in tools like Python, R, and SQL.

What is the average salary for a master data analyst?

The average salary for a master data analyst typically ranges from $70,000 to $100,000 annually, depending on experience, location, and industry. Advanced skills in SQL, data visualization tools, and statistical analysis can influence earning potential.

What is a Data Analytics Masters job?

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.

More about Data Analytics Masters jobs
What cities are hiring for Data Analytics Masters jobs? Cities with the most Data Analytics Masters job openings:
What are the most commonly searched types of Data Analytics Masters jobs? The most popular types of Data Analytics Masters jobs are:
What states have the most Data Analytics Masters jobs? States with the most job openings for Data Analytics Masters jobs include:
What job categories do people searching Data Analytics Masters jobs look for? The top searched job categories for Data Analytics Masters jobs are:
Data Analytics Masters jobs near you
Infographic showing various Data Analytics Masters job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.
Big Data Analytics Process

Big Data Analytics Process

TestingXperts

Houston, TX • On-site

Full-time

Re-posted 12 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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