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Data Analytics Analyst Jobs in Dallas, TX (NOW HIRING)

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 ...

... Analytics background to support Corporate Sales Reporting and Analytics needs. The Data Analyst will partner with business and operations technology teams to define and execute data analytics ...

Sr. Sales Analyst

Plano, TX · On-site

$90 - $150/hr

We are seeking a detail-oriented and technically skilled Senior Sales Data & Analytics Analyst to support retail sales data infrastructure, reporting, and analytics operations. This role is ...

New

Data Analysis & Insights: * As a Senior analyst, collect, process, and analyze contact center operational data to identify trends, patterns, and actionable insights that drive future proof ...

New

Data Analyst

Coppell, TX · On-site

$67 - $90/hr

Bachelor's degree in Data Analytics, Information Systems, Business Administration, Finance, Computer Science, Statistics, or related field required. Master's degree preferred. * Experience: 1, 2+ ...

Bachelor's degree in Data Analytics, Information Systems, Business Administration, Finance, Computer Science, Statistics, or related field required. * Master's degree preferred. Experience * 1, 2+ ...

Lead - Data & Analytics

Addison, TX · On-site

$130 - $150/hr

Addison, TX 75001 Salary Range: $130,000.00 - $150,000.00 Per year Lead -- Data & Analytics Location: Addison, TX | On-site, 5 days/week Type: Full-time About the Role We are seeking a hands‑on ...

New

Support enterprise-wide analytics initiatives, including predictive modeling and process optimization projects. * Work with engineering teams to gather and analyze process data in the context of ...

Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change ...

Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change ...

Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change ...

Showing results 21-40

Data Analytics Analyst information

See Dallas, TX salary details

$33.8K

$82.1K

$135.1K

How much do data analytics analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analytics analyst in Dallas, TX is $82,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

What does a data analytics analyst do?

A Data Analytics Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They use statistical tools and software to uncover trends, patterns, and insights from large datasets. Their work often involves creating reports, visualizations, and presentations to communicate findings to stakeholders. Data Analytics Analysts play a vital role in helping businesses optimize operations, improve customer experiences, and identify new opportunities.

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

To thrive as a Data Analytics Analyst, you need strong quantitative skills, experience with data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Proficiency with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI, along with knowledge of data management systems, is crucial. Critical thinking, attention to detail, and effective communication skills help analysts interpret data and clearly convey insights to stakeholders. These skills are vital for transforming raw data into actionable business intelligence that drives informed decision-making.

What are some common challenges data analytics analysts face when interpreting large datasets, and how can they overcome them?

Data Analytics Analysts often encounter challenges such as data quality issues, incomplete datasets, and difficulties in identifying meaningful patterns or insights. To overcome these, analysts should prioritize thorough data cleaning, leverage robust data validation techniques, and collaborate closely with stakeholders to understand the business context. Additionally, using advanced analytical tools and maintaining clear documentation can help ensure accurate interpretations and more actionable recommendations.

Is a data analytics analyst well paid?

Data analytics analysts are generally well compensated, with salaries often above the median for entry-level roles and increasing with experience, certifications, and proficiency in tools like SQL, Python, or Tableau. Salaries vary by industry and location but tend to be competitive within the tech and finance sectors.

What job categories do people searching Data Analytics Analyst jobs in Dallas, TX look for?

The top searched job categories for Data Analytics Analyst jobs in Dallas, TX are:

Infographic showing various Data Analytics Analyst job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,098 per year, or $39.5 per hour.

Internship

Re-posted 4 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.