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Data Analytics Professional Jobs (NOW HIRING)

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

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 ...

Devon Energy

Data Analysis Professional

Houston, TX · On-site

The Data Analysis Professional sits within Devon Energy's Supply Chain organization, delivering ... and evaluate analytics and technology solutions. • Build and document ad hoc and recurring ...

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH · On-site

Certified Analytics Professional (CAP) or comparable data/AI governance certification preferred. Experience: Minimum 10 to 15 years of progressive business experience, recently at or near the ...

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH · On-site

Certified Analytics Professional (CAP) or comparable data/AI governance certification preferred. Experience: Minimum 10 to 15 years of progressive business experience, recently at or near the ...

Cityblock Health

Director, Data Analytics

Concord, NC · On-site

$140K - $185K/yr

This analytics professional services as a business partner to our Member Outreach, Provider ... This role involves analyzing operational data, generating insightful reports, and providing ...

Humetis Group

Data Analytics Specialist

Burlington, MA · On-site

Qualifications: * 2-3 years of professional experience in data analysis, sales, research, or marketing. * Strong proficiency in Microsoft Excel; experience with Tableau and Salesforce is highly ...

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Data Analytics Professional information

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$24

$54

$94

How much do data analytics professional jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data analytics professional in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

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

AspectData Analytics ProfessionalData Analyst
CredentialsOften requires a degree in data science, statistics, or related fields; certifications like CAP, Google Data AnalyticsTypically holds a degree in similar fields; certifications are common but not mandatory
Work EnvironmentWorks across various industries, often in teams, handling complex data projectsFocuses on data collection, cleaning, and basic analysis, often in business settings
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firmsCommon in retail, marketing, finance, and healthcare sectors

While both roles involve analyzing data, Data Analytics Professionals often handle more complex projects and require broader skill sets, including advanced analytics and data modeling. Data Analysts typically focus on data preparation and basic analysis to support decision-making. Both roles are essential in data-driven organizations, but the scope and complexity of tasks differ.

Is data analytics still a good career?

Data analytics is a strong and growing field with high demand for professionals skilled in data analysis, visualization, and tools like SQL, Python, and Tableau. The role offers opportunities across industries such as finance, healthcare, and technology, with a need for continuous learning and certification to stay current. Job prospects remain favorable due to the increasing reliance on data-driven decision-making.

What career can I do with data analytics?

A data analytics professional can pursue careers such as data analyst, business intelligence analyst, data scientist, or data engineer. These roles involve analyzing data to support decision-making, using tools like SQL, Excel, and visualization software, often requiring strong analytical skills and knowledge of statistical methods.

What cities are hiring for Data Analytics Professional jobs?

Cities with the most Data Analytics Professional job openings:

What are the most commonly searched types of Data Analytics jobs?

The most popular types of Data Analytics jobs are:

What states have the most Data Analytics Professional jobs?

States with the most job openings for Data Analytics Professional jobs include:

Data Analytics Professional jobs near you

Data Analytics Intern

TrinityRail

Dallas, TX • On-site

Part-time

Re-posted 16 days ago

TrinityRail rating

6.3

Company rating: 6.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

139th of 174 rated vehicle equipment hire

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.

Qualifications
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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