ZipRecruiter

Log In

2

Entry Level Data Analyst Ai Jobs in Texas (NOW HIRING)

Synergie Systems

Entry Level Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Job Title: Entry Level Data Engineer Location: Dallas, TX Job Type: Only W2 We are looking for an ... You will work with experienced data engineers and analysts to build, maintain, and improve data ...

TWC Business Unit

Data Analyst (Statewide)

Austin, TX · On-site

$4.8K/mo

The Data Analyst I performs entry-level data analysis and data research work. Work involves conducting detailed analysis of, and extensive research on, data and providing results. Works under close ...

Apptad, Inc.

Data Analyst with AI

Plano, TX · On-site

AIDriven Analytics Prompt Engineering * Design test and optimize AI prompts in Copilot to * Accelerate data exploration and root cause analysis * Automate insight generation from structured and ...

LP Analyst

Data Analyst - Data Operations

Dallas, TX · On-site

Job Summary : LP Analyst is a leading independent private asset cloud-based analytics and ... Leverage AI-based tools for automated data extraction and validation, helping to assess output ...

Quantum Data Logic

AI Product Analyst

Austin, TX · On-site

$85 - $120/hr

Perform data analysis using SQL and Python (Pandas) to assess product performance and generate ... supporting AI product development, system evaluation, and cloud-based application performance ...

International SOS

Data Analyst

San Antonio, TX · On-site

AI Tools for Data Analysis: Ability to build and apply AI-powered tools (like automated analytics, forecasting, or pattern detection) to analyze large data sets including use machine learning ...

Jobtailor

Data Analyst

San Antonio, TX · On-site

$65 - $95/hr

AI Tools for Data Analysis: Ability to build and apply AI-powered tools (like automated analytics, forecasting, or pattern detection) to analyze large data sets including use machine learning ...

International SOS

Data Analyst

San Antonio, TX · On-site

AI Tools for Data Analysis: Ability to build and apply AI-powered tools (like automated analytics, forecasting, or pattern detection) to analyze large data sets including use machine learning ...

Diablo Convoy

AI Automation Analyst

Spring, TX · On-site

$130K - $150K/yr

We are seeking a detail-oriented AI Analyst / AI Automation Specialist to support AI-driven data analysis, document processing, automation workflows, and reporting initiatives. This role focuses on ...

Four Hands

Entry level Data Engineer - New Grad

Austin, TX · Hybrid

$113K - $136K/yr

As an Entry Level Data Engineer, you'll help build and support the data pipelines, integrations ... will support analytics, automation, and AI capabilities across Four Hands. Authorization

Managed Staffing

Data analyst I

Austin, TX · On-site

$25 - $28/hr

1-3 years' experience in data analysis Strong Microsoft Excel skills (must-have) Experience with Power BI Entry-level knowledge of C++ and CSS (nice-to-have, not core) Engineering Technician I Active ...

eSkill

Data Analyst

San Antonio, TX · On-site

$70K - $83K/yr

Description The Data Analyst role is a strong fit for someone who is genuinely curious about the ... Familiarity with AI tools like Claude or ChatGPT in work, side projects, or daily life * Experience ...

next page

Showing results 1-20

All JobsData Analyst Ai JobsEntry Level Data Analyst Ai JobsEntry Level Data Analyst Ai Jobs in Texas

Entry Level Data Analyst Ai information

What is an entry level data analyst AI?

Entry level data analyst AI jobs involve collecting, cleaning, and interpreting data to help organizations make informed decisions, with a focus on supporting artificial intelligence projects. These roles may include preparing datasets for machine learning models, analyzing trends, and creating reports or visualizations. While these positions require strong analytical and problem-solving skills, they are suitable for those beginning their career in data analysis and AI, often requiring knowledge of basic programming languages, statistics, and data tools.

What are the key skills and qualifications needed to thrive as an entry level data analyst AI?

To thrive as an Entry Level Data Analyst, you need a solid understanding of statistics, data cleaning, and foundational analytics concepts, often supported by a degree in a related field such as mathematics, statistics, or computer science. Familiarity with tools like Excel, SQL, and data visualization software (e.g., Tableau or Power BI), as well as basic knowledge of programming languages like Python or R, is typically expected. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for clearly interpreting and presenting data insights. These skills and qualifications are vital for accurately analyzing data, supporting business decisions, and effectively collaborating with team members.

What are some common challenges faced by entry level data analysts working with AI projects, and how can they overcome them?

Entry-level Data Analysts in AI projects often face challenges such as understanding complex data structures, adapting to rapidly evolving tools, and interpreting results from advanced machine learning models. Collaborating closely with data scientists and engineers can help bridge knowledge gaps and foster learning. Staying proactive in seeking mentorship, participating in code reviews, and dedicating time to continuous learning are effective strategies to overcome these hurdles and quickly grow in the role.

How to become an entry level data analyst AI?

To become an entry-level data analyst AI, you should develop skills in programming languages like Python or R, learn data manipulation and analysis techniques, and gain familiarity with AI and machine learning concepts. Earning relevant certifications or completing online courses can also improve your prospects, along with experience using tools such as SQL, Excel, and data visualization software.

Is an entry level data analyst in demand with AI?

Entry level data analysts are in increasing demand as AI technologies expand, requiring skills in data manipulation, statistical analysis, and tools like Python or SQL. Organizations seek these roles to interpret data for AI model development and decision-making, making it a growing field for new professionals.

What are the most commonly searched types of Data Analyst Ai jobs in Texas?

The most popular types of Data Analyst Ai jobs in Texas are:

What are popular job titles related to Entry Level Data Analyst Ai jobs in Texas?

For Entry Level Data Analyst Ai jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst Ai jobs in Texas look for?

The top searched job categories for Entry Level Data Analyst Ai jobs in Texas are:

What cities in Texas are hiring for Entry Level Data Analyst Ai jobs?

Cities in Texas with the most Entry Level Data Analyst Ai job openings:

Entry Level Data Analyst Ai jobs near you
Infographic showing various Entry Level Data Analyst Ai job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 89% In-person, and 11% Remote job distribution.

Entry Level Data Engineer

Synergie Systems

Dallas, TX • On-site

$113K - $136K/yr

Other

Posted 5 days ago

Job description

Job Title: Entry Level Data Engineer

Location: Dallas, TX

Job Type: Only W2

Job Description:

We are looking for an enthusiastic and detail-oriented Entry-Level Data Engineer to join our data team. You will work with experienced data engineers and analysts to build, maintain, and improve data pipelines and data infrastructure.

This is a great opportunity for someone who has a strong foundation in SQL and Python and wants to develop their career in data engineering.

Responsibilities:

Develop and maintain ETL/ELT data pipelines.

Extract, transform, and load data from databases, APIs, files, and other sources.

Write and optimize SQL queries for data processing and analysis.

Use Python to automate data-processing and engineering tasks.

Perform data validation, quality checks, and troubleshooting.

Work with relational and cloud databases.

Assist in building and maintaining data warehouses and data lakes.

Monitor data pipelines and investigate data-quality or pipeline issues.

Collaborate with Data Analysts, Data Scientists, Software Engineers, and other stakeholders.

Document data pipelines, processes, and technical solutions.

Follow best practices for data security, reliability, and scalability.

Required Qualifications:

Bachelor’s degree in computer science, Information Technology, Engineering, Data Science, or a related field, or equivalent practical experience.

Strong knowledge of SQL.

Basic to intermediate Python programming skills.

Understanding of relational databases and database concepts.

Basic understanding of ETL/ELT concepts and data pipelines.

Familiarity with Git/version control.

Good problem-solving and analytical skills.

Strong communication and willingness to learn.

Apply