2

Entry Level Analytics Engineer Jobs in Texas (NOW HIRING)

... Analytics, Statistics, or a related field · 0-2 years of experience or relevant internships in business intelligence, data analysis, or reporting · Basic knowledge of programming languages such as ...

... Entry Level Software Developer Job Duties & Responsibilities Do you enjoy programming and ... Our team works closely with business analysts and predictive modelers in the design, development ...

Garver is seeking an entry level water industry professional to join the Water Infrastructure Modeling, Analytics, and Planning (WI-MAP) Team as a Project Engineer for our developing national ...

New

next page

Showing results 1-20

Entry Level Analytics Engineer information

What is the difference between Entry Level Analytics Engineer vs Data Analyst?

AspectEntry Level Analytics EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; some certificationsBachelor's in Statistics, Math, or related field; certifications optional
Work EnvironmentTechnical teams, data engineering projects, software toolsBusiness units, reporting, data visualization tools
Employer & Industry UsageTech companies, startups, data-driven organizationsFinance, marketing, healthcare, retail
Common Search & ComparisonYesYes

The Entry Level Analytics Engineer focuses on building data pipelines, integrating data sources, and supporting data infrastructure, often requiring programming skills. Data Analysts primarily interpret data, create reports, and visualize insights for business decisions. While both roles work with data, Analytics Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and reporting.

What does an Entry Level Analytics Engineer do?

An Entry Level Analytics Engineer is responsible for building and maintaining data pipelines, transforming raw data into usable formats, and ensuring data quality for analysis. They work closely with data analysts and data scientists to create data models and automate data workflows, often using tools like SQL, Python, and cloud data platforms. Entry level positions focus on learning best practices, supporting senior engineers, and helping the organization make data-driven decisions by providing clean and reliable data.

What are the key skills and qualifications needed to thrive as an Entry Level Analytics Engineer, and why are they important?

To thrive as an Entry Level Analytics Engineer, you need a solid grounding in data analysis, SQL, and basic programming skills, often supported by a degree in computer science, statistics, or a related field. Familiarity with data modeling tools, analytics platforms like dbt, and cloud data warehouses such as Snowflake or BigQuery is typically expected. Strong problem-solving abilities, attention to detail, and effective communication are important soft skills that help bridge technical and business needs. These skills ensure accurate, actionable data insights and smooth collaboration with cross-functional teams in data-driven environments.

What types of projects do Entry Level Analytics Engineers typically work on, and how do they collaborate with data teams?

Entry Level Analytics Engineers often assist with building and maintaining data pipelines, transforming raw data into usable formats for analysis, and developing reports or dashboards for business stakeholders. They work closely with data analysts to understand reporting needs and with data engineers to ensure data quality and efficient data flow. Collaboration is key, as they may participate in team meetings, code reviews, and documentation efforts to support broader analytics goals. This role provides hands-on experience with modern data tools while offering opportunities to learn from more senior team members.
What are the most commonly searched types of Analytics Engineer jobs in Texas? The most popular types of Analytics Engineer jobs in Texas are:
What are popular job titles related to Entry Level Analytics Engineer jobs in Texas? For Entry Level Analytics Engineer jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Entry Level Analytics Engineer jobs? Cities in Texas with the most Entry Level Analytics Engineer job openings:
Infographic showing various Entry Level Analytics Engineer job openings in Texas as of July 2026, with employment types broken down into 72% Full Time, 9% Part Time, and 19% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Entry Level Business Analyst

Dhalite Inc.

Dallas, TX • On-site

Other

Posted 7 days ago


Job description

Location: Onsite/Hybrid
Experience Level: Entry-Level to 1 Year


Job description

We are seeking a motivated Entry-Level Programming Analyst to join our dynamic technology team. This role is ideal for entry level candidates who are passionate about software development, programming, and system analysis.

As a Programming Analyst, you will work closely with developers, analysts, and project teams to design, develop, and maintain software applications that support business operations.

Responsibilities

• Assist in developing and maintaining software applications
• Analyse business requirements and translate them into technical solutions
• Write, test, and debug program code
• Support system development and software implementation projects
• Participate in the Software Development Life Cycle (SDLC)
• Collaborate with developers, QA teams, and business analysts
• Troubleshoot and resolve application issues
• Maintain documentation for programs and technical processes
• Support application testing and system integration activities
• Assist in improving existing software systems
• Work with databases and data processing tools
• Participate in code reviews and development meetings

Benefits

  • Competitive salary
  • Growth and learning opportunities
  • Supportive work environment

Qualifications

·  Bachelor’s or Master’s degree in Computer Science, Information Systems, IT, Data Analytics, Business Analytics, Statistics, or a related field

· 0–2 years of experience or relevant internships in business intelligence, data analysis, or reporting

· Basic knowledge of programming languages such as Java, Python, C#, or SQL

· Understanding of software development concepts and SDLC

· Strong analytical and problem-solving skills