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Entry Level Economic Jobs in Dallas, TX (NOW HIRING)

Dhalite Inc.

Entry-Level Data Analyst

Dallas, TX · On-site

Job Title: Entry-Level Data Analyst Summary We are looking for a motivated Entry-Level Data Analyst ... Qualifications Bachelor s degree in Data Science, Computer Science, Economics, 0 2 years of ...

Greentech Renewables

Be Seen First

Management Trainee - Entry Level (Solar Distribution)

Dallas, TX · On-site

$63K/yr

This is an entry-level position. Recent graduates are encouraged to apply! What We're Looking For ... economic impact. More than a supplier, we serve as a strategic partner, helping customers ...

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All JobsEconomic JobsEntry Level Economic JobsEntry Level Economic Jobs in Dallas, TX

Entry Level Economic information

See Dallas, TX salary details

$45.5K

$81.2K

$121.2K

How much do entry level economic jobs pay per year?

As of Aug 29, 2026, the average yearly pay for entry level economic in Dallas, TX is $81,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $97,400.00 per year, depending on experience, location, and employer.

What is an entry level economist?

Entry level economists are professionals who have recently graduated with a degree in economics or a related field and are starting their careers in the field. They typically assist with research, data analysis, and report preparation under the supervision of more experienced economists. Entry level economists may work in government, private firms, research institutions, or non-profit organizations. Their work helps inform economic policy, business strategies, and market forecasts.

What are some typical projects or tasks I might work on as an entry level economist, and how do these contribute to larger organizational goals?

As an entry-level economist, you can expect to assist with data collection, statistical analysis, and preparing reports on economic trends. You may work on projects such as researching market conditions, evaluating policy impacts, or supporting senior economists with economic modeling. These tasks help your organization make informed decisions, shape business strategies, or guide public policy. Collaborating with cross-functional teams like data analysts and policy advisors is common, providing you with exposure to diverse perspectives and valuable professional development opportunities.

What are the key skills and qualifications needed to thrive as an entry level economist, and why are they important?

To thrive as an Entry Level Economist, you need a solid grounding in economic theory, quantitative analysis, and statistical methods, typically supported by a bachelor's degree in economics or a related field. Familiarity with data analysis tools such as Excel, Stata, R, or Python and experience with economic modeling software are commonly required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for generating accurate economic insights, supporting policy decisions, and contributing meaningfully to research or business objectives.

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

AspectEntry Level EconomicEntry Level Data Analyst
Required CredentialsBachelor's in Economics or related fieldBachelor's in Data Science, Statistics, or related field
Work EnvironmentResearch institutions, government agencies, consulting firmsCorporate, finance, tech companies, or consulting firms
Employer & Industry UsageEconomics departments, policy analysis, research rolesData-driven decision making, reporting, and analysis
Common Search & ComparisonOften compared for entry-level roles requiring analytical skillsRelated but more technical, focused on data manipulation

Entry Level Economics and Entry Level Data Analyst roles share a focus on analytical skills and data interpretation. However, economics roles emphasize understanding economic theories and policy analysis, while data analyst positions focus on technical data manipulation and visualization. Both roles typically require a bachelor's degree, but the specific skills and work environments differ, catering to different industry needs.

What are the most commonly searched types of Economic jobs in Dallas, TX?

The most popular types of Economic jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Entry Level Economic jobs?

Cities near Dallas, TX with the most Entry Level Economic job openings:

Entry Level Economic jobs near you
Infographic showing various Entry Level Economic job openings in Dallas, TX as of August 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $81,181 per year, or $39 per hour.

Entry-Level Data Analyst

Dallas, TX • On-site

Dhalite Inc.
11 - 50 employees
Learn more about Dhalite Inc.external

Other

Posted 4 days ago

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

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