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Applied Data Analytics Jobs in Texas (NOW HIRING)

ESR Healthcare

Data Scientist inc

Houston, TX · On-site

We are seeking an applied Data Scientist to help turn data into actionable insights and predictive ... just analysis) Strong understanding of ML fundamentals and optimization methods Engineering ...

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Science, Applied Math, Statistics, Operations Research, or similar quantitative field.

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Science, Applied Math, Statistics, Operations Research, or similar quantitative field.

1 Point System

Data Engineer with Healthcare

Houston, TX · On-site

$109.30K - $131.30K/yr

... analytics, data science, or applied data engineering. · Demonstrated experience working with healthcare, behavioral health, and financial data. · Experience in non-profit healthcare, behavioral ...

Citigroup, Inc.

Data Analytics Lead Analyst

Irving, TX · On-site

$166K - $173K/yr

Requires a Master's degree, or foreign equivalent, in Applied Computer Science, Computer Applications or related field and 4 years of experience as a Senior Data Analyst, Associate Consultant ...

Munich Re

Intern - Business Data Analytics

Austin, TX · On-site

Applied Mathematics * Computer Science (analytics or data-focused track) (Graduate-level coursework preferred due to complexity and autonomy of work.) Responsibilities * Design and build initial ...

EssilorLuxottica SA

Data & ML Engineer

Dallas, TX · On-site

$113.70K - $136.60K/yr

Strong proficiency in CI/CD, DevOps, and MLOps is essential to support the deployment and operationalization of analytics and AI solutions. The role partners closely with Applied Data Scientists to ...

EssilorLuxottica

Data & ML Engineer

Dallas, TX · On-site

$113.70K - $136.60K/yr

Strong proficiency in CI/CD, DevOps, and MLOps is essential to support the deployment and operationalization of analytics and AI solutions. The role partners closely with Applied Data Scientists to ...

EssilorLuxottica

Data & ML Engineer

Dallas, TX · On-site

$113.30K - $136.10K/yr

Strong proficiency in CI/CD, DevOps, and MLOps is essential to support the deployment and operationalization of analytics and AI solutions. The role partners closely with Applied Data Scientists to ...

EssilorLuxottica Group

Data & ML Engineer

Dallas, TX

Strong proficiency in CI/CD, DevOps, and MLOps is essential to support the deployment and operationalization of analytics and AI solutions. The role partners closely with Applied Data Scientists to ...

Essilor

Data & ML Engineer

Dallas, TX

Strong proficiency in CI/CD, DevOps, and MLOps is essential to support the deployment and operationalization of analytics and AI solutions. The role partners closely with Applied Data Scientists to ...

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Applied Data Analytics information

See Texas salary details

$22.9K

$113.9K

$201.8K

How much do applied data analytics jobs pay per year?

As of May 28, 2026, the average yearly pay for applied data analytics in Texas is $113,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,432.00 and $153,021.00 per year, depending on experience, location, and employer.

What is an Applied Data Analytics job?

An Applied Data Analytics job involves using data analysis, statistical methods, and machine learning techniques to extract insights and support decision-making in various industries. Professionals in this role work with large datasets, clean and preprocess data, and create visualizations to communicate findings effectively. They often use programming languages like Python or R, along with database tools such as SQL, to analyze trends and optimize business processes. Applied Data Analytics roles are found in sectors like healthcare, finance, marketing, and technology, helping organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive in the Applied Data Analytics position, and why are they important?

To thrive in Applied Data Analytics, you need strong analytical skills, proficiency in statistical methods, and typically a degree in data science, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, experience with data visualization tools like Tableau or Power BI, and knowledge of SQL are commonly required, along with relevant certifications such as Certified Analytics Professional (CAP). Strong problem-solving abilities, effective communication, and a knack for translating complex data into actionable insights set standout professionals apart. These skills are crucial for transforming raw data into meaningful solutions that support informed business decisions and drive organizational success.

What are the typical daily responsibilities of someone working in Applied Data Analytics?

Professionals in Applied Data Analytics typically spend their days collecting, cleaning, and analyzing large datasets to identify trends and patterns relevant to their organization’s goals. They use various statistical and machine learning techniques to build predictive models, generate visual reports, and present data-driven recommendations to stakeholders. Collaborating with cross-functional teams such as marketing, operations, and IT is common, ensuring data solutions are closely aligned with business needs. This dynamic role also involves continuous learning to keep up with evolving analytical tools and methodologies.
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What cities in Texas are hiring for Applied Data Analytics jobs? Cities in Texas with the most Applied Data Analytics job openings:
Applied Data Analytics jobs near you
Infographic showing various Applied Data Analytics job openings in Texas as of May 2026, with employment types broken down into 6% As Needed, 29% Full Time, and 65% Part Time. Highlights an 45% Physical, 3% Hybrid, and 52% Remote job distribution, with an average salary of $113,858 per year, or $54.7 per hour.

Data Analytics Intern

Trinity Logistics Group

Dallas, TX

Other

Posted 26 days ago

Job description

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX. This position will focus on building, deploying, and scaling agentic AI applications and automated workflows across the enterprise. You will contribute to producing AI-first solutions using large language models, agent frameworks, and AI-assisted coding to deliver deployable apps, agents, automated workflows, and AI orchestration.

This role will provide valuable experience working with state-of-the-art enterprise platforms (Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high-impact projects.

What You'll Do:

  • Design, prototype, and deliver agentic systems that plan and execute multi-step business tasks.
  • Build automated workflows and connectors that integrate internal systems and APIs.
  • Implement LLM-based agents (prompting, tool-calling, memory, monitoring) and harden prototypes for handoff.
  • Produce code and deployable artifacts using AI-assisted generation.
  • Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions.
  • Demo results and deliver concise handoff docs, runbooks, and impact metrics.
     

What You'll Have:

  • Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field.
  • Demonstrable experience building AI prototypes or agentic projects (coursework, research, personal projects, or employment).
  • Generate, test, and iterate code (examples: Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub Copilot, OpenAI Codex,
  • Claude Code, Cursor, or similar). Manual coding fluency is helpful but not mandatory.
  • Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent).
  • Strong problem solving and communication skills; ability to present technical work to nontechnical stakeholders.

Preferred / Nice-to-Have

  • Practical experience with model deployment and monitoring basics (packaging/deploying prototypes, logging/observability, basic cost and drift checks).
  • Experience building or working with data/workflow pipelines or orchestration tools or familiarity with the concepts of scheduling and task orchestration.
  • Experience working with unstructured text and retrieval approaches (RAG or index + LLM patterns) for document/question answering.
  • Comfortable integrating services via REST APIs and using secure authentication patterns.

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