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Entry Level Data Analyst Jobs in Austin, TX (NOW HIRING)

Looking for an opportunity to help drive NSM business decisions through applications and data? We ... Our team works closely with business analysts and predictive modelers in the design, development ...

Associate Data Engineer 2027

Austin, TX · On-site

$113K - $136K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Collect and analyze data to identify trends, providing clients with actionable insights to enhance ...

... practices. * Entry level to intermediate knowledge and understanding of financial statements and ability to analyze business and financial data. * Strong analytical, conceptual, communication ...

Showing results 21-40

Entry Level Data Analyst information

See Austin, TX salary details

$13

$32

$61

How much do entry level data analyst jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry level data analyst in Austin, TX is $32.63, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $36.44 per hour, depending on experience, location, and employer.

What does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

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 strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

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

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are the most commonly searched types of Data Analyst jobs in Austin, TX?

The most popular types of Data Analyst jobs in Austin, TX are:

What are popular job titles related to Entry Level Data Analyst jobs in Austin, TX?

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

What cities near Austin, TX are hiring for Entry Level Data Analyst jobs?

Cities near Austin, TX with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,869 per year, or $32.6 per hour.

Product/Test Engineer, Entry Level

NXP Semiconductors N.V.

Austin, TX • On-site

Full-time

Re-posted 12 days ago


Job description

Seeking a high-potential recent engineering graduate for an entry-level automotive New Product Introduction (NPI) Test Engineer position. This role will work closely with Design-for-Test (DFT), Design, Product Engineering, and Manufacturing teams to develop and deploy scan test solutions for advanced automotive semiconductor microprocessors. This position provides an opportunity to learn semiconductor test development, DFT methodologies, silicon debug, and automotive quality practices.
Job Responsibilities:
  • Support development and implementation of scan-based test solutions for semiconductor devices.
  • Collaborate with DFT engineers to understand scan architectures, ATPG patterns, MBIST, LBIST, and test requirements.
  • Convert, emulate and validate scan patterns for Automated Test Equipment (ATE) platforms.
  • Assist with silicon bring-up, characterization, qualification, and production release activities.
  • Analyze test results and debug pattern execution issues using simulation and production data.
  • Support fault coverage analysis and identification of potential test quality gaps.
  • Work with cross-functional teams including Design, DFT, Product Engineering, Failure Analysis, and Manufacturing.
  • Develop AI solutions to improve test development efficiency and data analysis.
  • Participate in test reviews, peer reviews, lessons learned activities, and continuous improvement initiatives.
  • Generate technical documentation including test plans, debug reports, lessons learned, and engineering summaries.

What You Will Learn
  • End-to-end pre-silicon and post-silicon New Product Test development flow and methodologies
  • Automotive-grade semiconductor testing and quality requirements
  • Semiconductor product development lifecycle
  • Automotive quality and reliability requirements
  • Design-for-Test (DFT) methodologies
  • ATPG and scan pattern generation flows
  • Silicon bring-up and debug
  • Test program development, emulation and validation
  • Automated Test Equipment (ATE) platforms
  • Data analytics and engineering automation
  • Root cause analysis and problem-solving techniques

Job Qualifications:
  • BS or MS in Electrical Engineering, Electronics Engineering or related field.
  • Graduated within the last 12 months.
  • Strong fundamentals in circuits, semiconductors, and computer architecture.
  • Basic programming or scripting knowledge (C/C++, Python, Perl, etc.).
  • Strong problem-solving and analytical skills.
  • Effective written and verbal communication skills.
  • Ability to work in a global cross-functional environment.
  • Self-motivated with a continuous improvement mindset.
  • Curious and eager to learn in a technical R&D role
  • Internship or project exposure to IC semiconductor testing, validation, verification, or DFT (scan, BIST) is a plus.

Job Location:
  • Austin, TX

More information about NXP in the United States...
NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.
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