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Entry Level Data Science H1B Jobs in Texas (NOW HIRING)

Job Title: Entry-Level Data Analyst Summary We are looking for a motivated Entry-Level Data Analyst ... Qualifications Bachelor s degree in Data Science, Computer Science, Economics, 0 2 years of ...

New

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

Data Analyst - Entry Level Category: Testing/Quality Assurance Main location: United States, Texas ... What You'll Bring • Bachelor's degree in Data Science, Information Systems, Computer Science ...

New

Data Analyst - Entry Level Category: Testing/Quality Assurance Main location: United States, Texas ... What You'll Bring • Bachelor's degree in Data Science, Information Systems, Computer Science ...

New

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 ... Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics ...

The Data Analyst I performs entry-level data analysis and data research work. Work involves ... those with H1B visas or those currently on student or postgraduate visas. In compliance with ...

Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at ... No OPT-EAD & H1B Consultants please. * Please mention your Visa Status in your email or resume

Data Analyst (Austin)

Austin, TX · On-site

$5.1K - $5.4K/mo

YOU QUALIFY WITH: -One year of full-time experience in data science, business analytics, computer ... H1B visas or those currently on student or postgraduate visas In compliance with federal law, all ...

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Entry Level Data Science H1B information

What is an entry level data science H1B?

An Entry Level Data Science H1B position refers to a data science job in the United States that is open to recent graduates or those with limited professional experience, and for which the employer is willing to sponsor an H1B visa. These roles typically involve tasks such as data cleaning, exploratory data analysis, building basic models, and reporting insights under supervision. The H1B visa allows skilled foreign workers to be employed in specialty occupations, including data science, for a specified period. Candidates usually need a relevant degree in fields like computer science, statistics, or mathematics, and some proficiency in programming and data analysis tools.

What are the key skills and qualifications needed to thrive as an entry level data scientist on an H1B visa?

To thrive as an Entry Level Data Scientist, you generally need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree in computer science, statistics, or a related field. Familiarity with tools like SQL, machine learning libraries (scikit-learn, TensorFlow), and data visualization platforms (Tableau, Power BI) is commonly required, and certifications such as Google Data Analytics or IBM Data Science can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate data insights into actionable business decisions. These skills and qualifications are crucial for extracting meaningful insights from data and contributing effectively to organizational goals in a technical and collaborative environment.

What are typical challenges faced by entry level data scientists working on an H1B visa, and how can these be addressed?

Entry-level data scientists on H1B visas often encounter challenges such as needing to quickly adapt to new tools, balancing project deadlines, and navigating workplace communication in a new cultural environment. Additionally, they may face pressure to demonstrate value early, given visa-related job security concerns. Building strong relationships with team members, seeking mentorship, and proactively asking for feedback can help overcome these challenges. Participating in team meetings and collaborating on cross-functional projects will also support integration and professional growth.

What are the most commonly searched types of Data Science H1B jobs in Texas?

The most popular types of Data Science H1B jobs in Texas are:

What job categories do people searching Entry Level Data Science H1B jobs in Texas look for?

The top searched job categories for Entry Level Data Science H1B jobs in Texas are:

What cities in Texas are hiring for Entry Level Data Science H1B jobs?

Cities in Texas with the most Entry Level Data Science H1B job openings:

Infographic showing various Entry Level Data Science H1B job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Entry-Level Data Analyst

Dallas, TX • On-site

Dhalite Inc.
11 - 50 employees

Other

Posted 2 days ago

New


Job description

Job Title: Entry-Level Data Analyst


Summary

We are looking for a motivated Entry-Level Data Analyst to join our analytics team. The candidate will help collect, process, and analyze data to support business decisions. This role is ideal for entry level candidates who want to start a career in data analytics.

Responsibilities

Collect and organize data from different data sources.
Clean and prepare datasets for analysis.
Analyze data to identify trends and insights.
Create dashboards and visual reports using Microsoft Power BI
Write SQL queries to extract data from databases like MySQL
Prepare weekly or monthly performance reports.
Support senior analysts with data analysis projects.


Qualifications

Bachelor s degree in Data Science, Computer Science, Economics,
0 2 years of experience or relevant internships in business intelligence, data analysis, or reporting
Familiarity with at least one data visualization tool
Basic knowledge of statistics
Strong analytical and problem-solving skills
Good communication skills to present data insights clearly
Attention to detail and ability to work with large datasets