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Entry Level Data & Analytics Jobs in Dallas, TX (NOW HIRING)

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 ...

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Entry Level Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Job Title: Entry Level Data Engineer Location: Dallas, TX Job Type: Only W2 We are looking for an ... You will work with experienced data engineers and analysts to build, maintain, and improve data ...

Data Analyst - Entry Level Category: Testing/Quality Assurance Main location: United States, Texas ... You'll gain hands on experience with modern analytics tools and technology enabled workflows ...

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Entry Level Data Analytics information

See Dallas, TX salary details

$32.6K

$80.6K

$138.5K

How much do entry level data & analytics jobs pay per year?

As of Aug 27, 2026, the average yearly pay for entry level data & analytics in Dallas, TX is $80,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $95,500.00 per year, depending on experience, location, and employer.

What is an entry level data & analytics?

An Entry Level Data & Analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Responsibilities may include cleaning datasets, creating reports, and using tools like Excel, SQL, or Python to extract insights. These roles often require strong analytical thinking, attention to detail, and proficiency in data visualization tools. Entry-level employees typically work under the guidance of senior analysts or data scientists to develop skills and gain industry experience.

What does an entry level data & analytics do?

As an Entry Level Data & Analytics team member, your daily tasks often involve gathering, cleaning, and preparing datasets, conducting basic analyses, and creating data visualizations to help explain findings. You'll frequently collaborate with senior analysts or managers, supporting ongoing projects by generating reports or troubleshooting data issues. This role also requires you to communicate your insights to both technical and non-technical colleagues, so clear documentation and presentation skills are valuable. Over time, you'll gain exposure to more complex analytical work and opportunities to specialize as you grow in your career.

What are the key skills and qualifications needed to thrive in the entry level data & analytics position?

To thrive as an Entry Level Data & Analytics professional, you need a basic understanding of statistics, data analysis, and data visualization, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with analytical tools such as Excel, SQL, Python, or Tableau, and any relevant certifications (like Google Data Analytics or Microsoft Excel certification) are often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate data insights into actionable recommendations for stakeholders. These competencies are crucial for ensuring accurate data interpretation and meaningful contributions to business decision-making.

Can I get into entry level data & analytics with no experience?

Entry level data and analytics roles often do not require prior professional experience; instead, they focus on foundational skills such as Excel, SQL, or basic data visualization tools. Candidates can improve their chances by completing relevant online courses, certifications, or projects to demonstrate their ability to work with data.

How can I start a career in data & analytics?

To start a career in data & analytics, focus on developing skills in data analysis, statistics, and programming languages like Python or R. Gaining proficiency with tools such as Excel, SQL, and data visualization software, along with obtaining relevant certifications or a degree in a related field, can improve job prospects. Entry-level roles often require a strong foundation in data concepts and the ability to interpret and communicate insights effectively.

What are some entry level data & analytics roles?

Entry level data and analytics roles include positions such as Data Analyst, Business Analyst, Data Technician, and Junior Data Scientist. These roles typically require skills in Excel, SQL, and basic statistical tools, and often serve as starting points for careers in data analysis and data management.

What are the most commonly searched types of Data & Analytics jobs in Dallas, TX?

The most popular types of Data & Analytics jobs in Dallas, TX are:

What job categories do people searching Entry Level Data & Analytics jobs in Dallas, TX look for?

The top searched job categories for Entry Level Data & Analytics jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Entry Level Data & Analytics jobs?

Cities near Dallas, TX with the most Entry Level Data & Analytics job openings:

Infographic showing various Entry Level Data & Analytics job openings in Dallas, 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,640 per year, or $38.8 per hour.

Entry-Level Data Analyst

Dallas, TX โ€ข 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