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Entry Level Data Analyst Jobs in Grand Prairie, TX

Entry-Level Associate

Addison, TX · On-site

$35K - $48K/yr

Position Overview We are seeking a motivated and driven Entry-Level Associate to join our growing ... Experience with data analysis, presentations, customer service, or project coordination.

Entry-Level Associate

Addison, TX · On-site

$35K - $48K/yr

Position Overview We are seeking a motivated and driven Entry-Level Associate to join our growing ... Experience with data analysis, presentations, customer service, or project coordination.

Entry-Level Associate

Addison, TX · On-site

$35K - $48K/yr

Position Overview We are seeking a motivated and driven Entry-Level Associate to join our growing ... Experience with data analysis, presentations, customer service, or project coordination.

... to GIS data, applications, and systems. This is an entry-level to junior-level opportunity ... Conduct spatial analysis and produce specialized informational products utilizing GIS software and ...

Showing results 21-40

Entry Level Data Analyst information

See Grand Prairie, TX salary details

$12

$31

$58

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

As of Sep 8, 2026, the average hourly pay for entry level data analyst in Grand Prairie, TX is $31.17, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $34.81 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 Grand Prairie, TX?

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

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

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

What job categories do people searching Entry Level Data Analyst jobs in Grand Prairie, TX look for?

The top searched job categories for Entry Level Data Analyst jobs in Grand Prairie, TX are:

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

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

Infographic showing various Entry Level Data Analyst job openings in Grand Prairie, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,827 per year, or $31.2 per hour.

$60 - $80/hr

Other

Posted 6 days ago


Key responsibilities

  • Assist in gathering, cleaning, and verifying data from various sources.

  • Support the creation and maintenance of basic dashboards and reports in Tableau.

  • Perform basic data analysis, create visualizations, and support report distribution and documentation.


Job description

Stellantis Financial Services (SFS) is the new captive finance company for one of the world's leading automakers and a mobility provider with iconic brands including Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall, Free2move and Leasys.

Our exciting growth provides opportunities to advance your career as we successfully lead products and services from a small to midsize company in just a few years. Join our world class team and culture and contribute to our core mission which is enhancing our customer's experience.

Position Summary

The Business Intelligence Analyst I position is responsible for basic data querying, report creation, and dashboard maintenance. The role focuses on developing and distributing routine operational reports, assisting Senior Analysts with data management tasks, and maintaining reporting tables.

Essential Duties and Responsibilities
  • Assist in gathering and cleaning data from various sources.
  • Support the creation of basic dashboards and reports in Tableau.
  • Perform basic data analysis and create visualizations to support business decisions.
  • Explore opportunities to automate recurring tasks (e.g., scheduling data refreshes, email distributions).
  • Collaborate with various departments (e.g., IT, Finance) to address basic reporting needs and gather requirements.
  • Assist with maintaining user access levels in BI platforms (assign viewer vs. editor permissions, etc.).
  • Contribute to basic documentation of report logic and processes, ensuring clarity for future reference.
  • Other duties as assigned.
Required Experience
  • Entry level BI, data analytics or related areas experience; or internship in Finance, Information Systems, or Data analytics.
  • Basic knowledge of writing queries, joins, and filtering data for reporting.
  • Basic knowledge of pivot tables, lookups, and basic formulas for data analysis and reporting.
  • Ability to verify data accuracy, identify inconsistencies, and support data clean-up efforts.
  • Ability to analyze basic data trends and discrepancies in reports.
  • Attention to detail in maintaining reporting accuracy and performance metrics.
  • Willingness to learn from more experienced analysts and take guidance on data management
  • Basic documentation skills for tracking report logic, data sources, and access controls.
  • Understanding of user access management in BI platforms (e.g., assigning viewer/editor permissions).
Education
  • Bachelor’s degree in business, Finance, Information Systems, or a related field, or equivalent experience.

Overtime required – as required on an as needed basis.

Travel 0-10% – as required on an as needed basis.

Must have reliable transportation and live within a commutable distance to one of the following cities: Dallas, TX

Qualifications Preferred
  • Exposure to Tableau, Power BI, or similar platforms for report creation and dashboard maintenance.
  • Familiarity with scheduling automated reports, email distributions, or data refresh processes.
Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.

Work Schedule
  • Mon – Fri / 40 hrs. This is an in-office hybrid role.

Stellantis Financial Services, Inc (SFS) is an equal opportunity employer and is committed to providing its employees with an environment that is free of harassment, discrimination, and intimidation. It is the policy of SFS to comply with all applicable employment laws and regulations and to provide equal opportunity for all qualified persons and to not discriminate against any employee or applicant for employment because of race, color, religion, sex, age, national origin, disability, pregnancy, sexual orientation, veteran status, gender identity or expression, change of sex, and/or transgender status or any protected status. Candidates must possess authorization to work in the United States. This policy applies to recruitment and placement, promotion, training, transfer, retention, rate of pay and all other terms and conditions of employment. Employment and promotion decisions will be based solely on merit, ability, achievement, experience, conduct and other legitimate business reasons.

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