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

Preferred Qualifications * MBA or advanced degree preferred. * Microsoft Power BI Data Analyst, Databricks certifications or related technical certifications, preferred. Skills * Financial Acumen ...

Interpret multiple data sources and design strategic approaches that will demonstrate value and ... MBA from a top program strongly preferred. * 8-10 years of experience in strategy, analytics or ...

Senior FP&A Analyst

Houston, TX · On-site

$79K - $98K/yr

Bachelor's degree in finance, Accounting, Business, Economics, Data Analytics, or a related field ... CMA, CFA, MBA, or other professional certifications. Why Join Us? * Influence key business ...

New

Strong expertise in financial modeling, forecasting, and data analytics. * Proficiency in ERP ... Bachelor's degree in Finance, Accounting, Economics, or a related field (MBA preferred). * 10+ ...

Lead Analyst Data Engineer

Houston, TX · On-site

$120 - $150/hr

... supports analytics and AI/ML use cases, and mentors data engineers and analysts to advance ... Masters Degree ADDITIONAL INFORMATION Boardwalk Pipelines, LP, maintains a drug‑free workplace ...

Azure OT Architect with LoRaWAN

Houston, TX · On-site

$60.75 - $79/hr

Experience with time series databases and sensor data analytics * Familiarity with industrial ... Bachelors or Masters degree in Engineering Computer Science or related field * Knowledge of ...

Showing results 21-40

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 Sep 5, 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 cities near Houston, TX are hiring for Data Analytics Masters jobs?

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

Infographic showing various Data Analytics Masters job openings in Houston, TX as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $99,211 per year, or $47.7 per hour.

Healthcare Data Analyst, Health and Clinical Outcomes Research (Onsite)

UTMB Health

Galveston, TX • On-site

Full-time

Re-posted 4 days ago


Key responsibilities

  • Develop, interpret, and monitor health process and outcomes data analyses, projections, data modeling, and reports for system management.

  • Design and implement reporting and analysis solutions from multiple databases to support clinical and operational decision-making.

  • Prepare and deliver reports, visualizations, and summaries for research teams, manuscripts, and presentations.


UTMB Health rating

7.2

Company rating: 7.2 out of 10

Based on 171 frontline employees who took The Breakroom Quiz

344th of 898 rated healthcare providers


Job description

JOB SUMMARY
Responsible for developing, preparing, interpreting, and monitoring moderate-to-complex health process and outcomes data analyses, projections, data modeling, and reports used by system management in decision-making. Develops, implements, and monitors reporting and analysis solutions from multiple databases to ensure efficient processing, up-to-date tools, improved patient experience, and clinical and operational efficiencies. Serves as an expert resource to provide reporting and analysis guidance and support. Responsible for weekly, monthly, quarterly, annual, and ad-hoc reports design and distribution.
ESSENTIAL JOB FUNCTIONS
  • Supporting high-impact outcomes and translational research projects that span clinical service lines central to UTMB's mission.
  • Conducting data curation, quality review, harmonization, and analysis using Epic Clarity/Caboodle and Epic Cosmos, TriNetX, and Medicare administrative datasets.
  • Designing and implementing reproducible cohort construction, feature engineering, and phenotype definitions using ICD-10/PCS, CPT/HCPCS, LOINC, RxNorm, and related code systems.
  • Applying modern statistical and causal-inference methods including time-to-event models, confounding control, target-trial emulation, missing-data strategies, and robustness checks to observational clinical data.
  • Preparing decision-ready summaries, figures, and narratives for research teams, manuscripts, abstracts, and grant deliverables.
  • Developing clear visualizations and stakeholder-oriented presentations that make complex findings clinically interpretable.
  • Integrating clinical timelines with multi-omics datasets (e.g., scRNA-seq, proteomics, pathogen genomics) using privacy-preserving linkage and disciplined study design.
  • Documenting analytic choices end-to-end with version control and workflow tools so results are traceable and auditable across environments.
  • Adhering to data governance, HIPAA/IRB requirements, and DUA constraints while enabling responsible data access for collaborators.
  • Contributing to H-COR's training culture by sharing templates, code patterns, and documentation that raise the analytic bar across projects.
  • Manuscript and presentation support.

EDUCATION & EXPERIENCE
Minimum Qualifications:
  • Bachelor degree in informatics, information technology, business, data science, or a related field.
  • Three (3) years of directly-related work experience

Preferred Qualifications:
  • Masters degree in informatics, information technology, business, data science, or a related field.
  • At least five years of experience working in academic health science center.
  • Experience collaborating with physician or clinical scientists or practitioners

Department Marketing Statement:
UTMB's new Center for Health and Clinical Outcomes Research (H-COR) invites applications for a Data Analyst to help convert complex clinical and population-health data into decision-grade evidence.
The analyst will work closely with H-COR's translational informatics lead and other collaborators across UTMB's schools to support comparative effectiveness and safety studies, advanced phenotyping from Epic EHR data, and responsible linkage of EHR with high-dimensional modalities (e.g., single-cell and bulk transcriptomics, proteomics, pathogen genomics). The position emphasizes rigorous causal inference, transparent and reproducible analytics, and clear communication with clinical partners. Experience in using novel data sources including those derived from social media, mobile phones, wearables, and other digital sources is also of interest.
Salary Range:
Commensurate with experience.
EQUAL EMPLOYMENT OPPORTUNITY:
UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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