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Entry Level Data Analyst Jobs in Texas (NOW HIRING)

The Financial Analyst is an entry level professional role responsible for supporting the collection, analysis, and interpretation of financial data to achieve operational targets as well as preparing ...

The Financial Analyst is an entry level professional role responsible for supporting the collection, analysis, and interpretation of financial data to achieve operational targets as well as preparing ...

This entry-level role is well suited for an analytical, detail-oriented professional looking to build a career in healthcare operations and data analysis. The position helps ensure the accuracy and ...

... entry-level individual contributor role within the Project Controls and PMO function. The role combines foundational project controls discipline with data analytics, reporting, and PMO systems ...

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Entry Level Data Analyst information

See Texas salary details

$12

$30

$57

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

As of Aug 6, 2026, the average hourly pay for entry level data analyst in Texas is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $34.28 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 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 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 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 the most commonly searched types of Data Analyst jobs in Texas? The most popular types of Data Analyst jobs in Texas are:
What cities in Texas are hiring for Entry Level Data Analyst jobs? Cities in Texas with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Texas as of August 2026, with employment types broken down into 56% Full Time, 23% Part Time, and 21% Contract. Highlights an 100% In-person job distribution, with an average salary of $63,806 per year, or $30.7 per hour.

Entry Level Business Analyst

Data Cloud Merge

Dallas, TX • On-site

Full-time

Re-posted 15 days ago


Job description

Company Description
Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.
Job Description
  • Create Use Case Scenarios and maintain Use Cases (Business User stories) and model Use Case Diagrams, Activity Diagrams, Sequence Diagrams, and Business Flow Diagrams.
  • Prepare BRD, FRD to manage, analyze, and convert business requirements into functional specifications.
  • Design new process flows and documented the business process and various business scenarios and activities of the business from the conceptual to procedural level and prepared Business Workflow models.
  • Perform GAP analysis and documented the existing AS-IS process in comparison to the required TO BE process.
  • Create project plans, style sheets, and templates to analyze and estimate feasibility, cost, time, and general guidelines for the project team.

Qualifications
  • Bachelor's degree or higher in scientific majors, Computer science, Information systems, Business Analysis, or related field.
  • Strong analytical, critical thinking and problem-solving skills.
  • Excellent written and verbal communication.
  • Team player able to defend ideas while adaptable to new or differing opinions.

Additional Information
Describe your perks and culture