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Entry Level Data Jobs in Texas (NOW HIRING)

Data analyst I

Austin, TX ยท 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

SYNERGISTICIT wants every candidate to know that the Job Market is Challenging and to stand out, you need to have exceptional skills and technologies and that's where we come in to make sure you get

Job Opportunity at Synergisticit Synergisticit wants every candidate to know that the job market is challenging and to stand out, you need to have exceptional skills and technologies and that's where

Data Entry Clerk

Houston, TX ยท On-site

$15/hr

Senior PsychCare has an immediate need for a Data Entry Clerk The Data Entry Clerk is an Entry-Level position within the Patient Intake Department and is primarily responsible for downloading

Salary: $15 per Hour Senior PsychCare has an immediate need for a Data Entry Clerk The Data Entry Clerk is an Entry-Level position within the Patient Intake Department and is primarily responsible

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How much do entry level data jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for entry level data in Texas is $18.14, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $20.38 per hour, depending on experience, location, and employer.

What is a data entry job for beginners?

A data entry job for beginners involves inputting, updating, and managing information in digital systems or databases. It typically requires basic computer skills, attention to detail, and familiarity with tools like spreadsheets or data management software. These roles often offer flexible schedules and do not require advanced qualifications.

What is the easiest entry-level role for data?

An entry-level data role often considered the easiest is a data entry clerk or assistant, which involves inputting and managing data using basic software like Excel or Google Sheets. These positions typically require minimal technical skills and may not require advanced certifications, making them accessible for beginners.

Can I work a data entry job with no experience?

Entry level data entry jobs typically do not require prior experience, as they focus on basic skills like typing, attention to detail, and familiarity with spreadsheet or database software. Employers often provide training, making it accessible for beginners to start in this role. Having basic computer skills and a high school diploma can improve your chances of getting hired.

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

AspectEntry Level DataData Analyst
Required CredentialsHigh school diploma or associate's; some roles may prefer certificationsBachelor's degree in data-related fields; certifications like SQL or Excel often preferred
Work EnvironmentEntry-level roles in various industries, often in office settings or remoteOffice-based, collaborative environment; may involve client interaction
Employer & Industry UsageFound across industries; entry positions for those starting in data rolesCommon in finance, healthcare, marketing, and tech sectors

Entry Level Data roles are typically for individuals starting their data careers with basic skills and minimal experience, often focusing on data entry or simple analysis. Data Analysts usually have more specialized training and experience, handling complex data analysis, reporting, and insights. Both roles are essential in data-driven organizations, but Data Analysts generally require a higher skill set and educational background.

What are entry level data jobs?

Entry level data jobs are positions designed for individuals who are new to the data field, often requiring minimal professional experience. These roles may include titles such as Data Analyst, Data Coordinator, or Junior Data Scientist. Responsibilities typically involve data cleaning, basic analysis, reporting, and supporting more senior data professionals. Entry level data jobs are a great way to build foundational skills in data manipulation, visualization, and interpretation using tools like Excel, SQL, or Python. They are commonly found in industries such as finance, healthcare, retail, and technology.

Is 40 too late for data science?

Entry level data roles often value skills and relevant training over age, and many professionals start careers in data science later in life. Gaining proficiency in programming languages like Python or R, and understanding data analysis tools, can help transition into the field regardless of age.

What types of projects or tasks are typically assigned to entry-level data professionals during their first year?

Entry-level data professionals often start by working on data cleaning, validation, and basic analysis tasks, helping to ensure data quality and accuracy for the team. They may assist with preparing reports, creating simple visualizations, or supporting more senior analysts with larger projects. These tasks help build foundational skills in data manipulation and provide exposure to the company's data systems and tools. Collaboration with other team members, such as analysts, engineers, and business stakeholders, is common and fosters a supportive learning environment.

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

To thrive as an Entry Level Data Analyst, you need foundational skills in data analysis, statistics, and problem-solving, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms (e.g., Tableau or Power BI) is often required, along with basic programming knowledge in Python or R. Strong attention to detail, analytical thinking, and effective communication are valuable soft skills for interpreting and sharing data-driven insights. These abilities are important to accurately analyze data, support business decisions, and collaborate with team members across departments.
What are the most commonly searched types of Data jobs in Texas? The most popular types of Data jobs in Texas are:
What cities in Texas are hiring for Entry Level Data jobs? Cities in Texas with the most Entry Level Data job openings:
Entry-Level Java Developer/Data Scientist

Entry-Level Java Developer/Data Scientist

SynergisticIT

Dallas, TX โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Search Feeling Like Guesswork? Applied to 500+ Jobs and Still No Interviews? No Interviews or Offers?

Get Hired with a Process! Many job seekers assume the tech market has shut down, but the truth is companies are still hiring โ€” they're just being more selective. That means only the most prepared, polished, and employerโ€ready candidates get through.If you've sent out hundredsโ€”maybe thousandsโ€”of applications and your inbox is still silent, it doesn't mean you're not capable.

It usually means your profile isn't lining up with how companies filter, shortlist, and interview candidates right now. In today's market, employers expect more than a degree or a few tutorial projects. They want candidates who look job-ready on paper, sound confident in interviews, and demonstrate hands-on ability in the tools teams actually use.

That's exactly what SynergisticIT solvesโ€”because the real challenge isn't learning in isolation. The real challenge is translating learning into interviews and offers. Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brandsโ€”think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Wayfair, and many moreโ€”often in the $95k to $154k offer range depending on role, location, and skillset.

The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove. Here's the truth employers hire based on whether you can handle real workโ€”clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That's why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.

What roles are in demand right now? A lot of jobseekers assume they must become "AI expertsโ€ overnight. Not true.

Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer. In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request.

Who benefits most from this model? If you're applying and not seeing results, you're likely in one of these situations: You have skills, but your resume doesn't show impact and your projects look generic You know tools, but you can't explain them confidently in interviews You've learned from courses, but you lack real-world structure and job alignment You've built a portfolio, but it doesn't match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with "learning but not hiredโ€ bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway. SynergisticIT also supports candidates with guidance around STEM extension, and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes).

If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Client JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ You don't need more random applications. You need a job-ready plan. Start smarterโ€”start with the right support.

Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also.

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