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Entry Level Economic Data Analyst Jobs in Texas (NOW HIRING)

Apply advanced knowledge in economics, statistics, and data science to develop forecasting models and simulations that guide policy and project development. * Manage and analyze large datasets, build ...

Data Analyst

Houston, TX · On-site

$60K - $75K/yr

Apply advanced knowledge in economics, statistics, and data science to develop forecasting models and simulations that guide policy and project development. * Manage and analyze large datasets, build ...

Data Analyst

Austin, TX · On-site +1

$70K - $75K/yr

Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative Finance, Computational Finance, or Finance Engineering * 1+ years industry experience as Data Analyst

BA/BS in Economics, Econometrics, Mathematics, Data Science, Market Research, Business Analytics or related field. Master's degree is a plus. * Outstanding analytical skills, familiarity with ...

BA/BS in Economics, Econometrics, Mathematics, Data Science, Market Research, Business Analytics or related field. Master's degree is a plus. * Outstanding analytical skills, familiarity with ...

... The Data Analyst I is an entry-level position within the Business Intelligence & Strategy ... Bachelor's degree in Business, Finance, Economics, Information Systems, or a related field * 0-2 ...

... The Data Analyst I is an entry-level position within the Business Intelligence & Strategy ... Bachelor's degree in Business, Finance, Economics, Information Systems, or a related field * 0-2 ...

Master/Bachelor degree in Statistics, Economics, Industrial Engineering and/or Business. * 1-3 years work experience in data analysis. * Strong background in data creation, manipulation and analysis.

Experience with Python and Python-based data analysis and manipulation packages Desired Skills and Abilities * BS/MS degree in Business, Operation Research, Economics, Statistics, or related fields

We are looking for a Data Analyst who has a passion for analytical problem solving to be part of ... economics). * Exceptional problem solving: Proven track record of solving complex problems ...

Data analyst I

Austin, TX · On-site

$25 - $28/hr

1-3 years' experience in data analysis Strong Microsoft Excel skills (must-have) Experience with Power BI Entry-level knowledge of C++ and CSS (nice-to-have, not core) Engineering Technician I Active ...

Required Qualifications Bachelor''''s degree in Data Analytics, Statistics, Computer Science, Mathematics, Economics, Business, or a related field. 1-3 years of experience in a Data Analyst or ...

Data Analyst

Austin, TX · On-site

$77K - $114K/yr

Strong written and oral communication skills * 2+ years of work experience in data analytics or data science roles * BS in Computer Science, Math, Statistics, Economics, or other quantitative field;

Degree in a field of Statistics, Computer Science, Economics, Analytics, or Data Science (e.g., Informatics, Data Science, Health Data Science) preferred. #LI-RC1 Equal Opportunity Employer/Protected ...

Data Analyst Duration: 12 Months Location: Plano, TX (Hybrid) Pay rate: $69/hr on W2 What we're ... Bachelor's degree or higher in Statistics, Finance, Accounting, Math, Economics, Engineering ...

Data Analyst Duration: 12 Months Location: Plano, TX (Hybrid) Pay rate: $69/hr on W2 What we're ... Bachelor's degree or higher in Statistics, Finance, Accounting, Math, Economics, Engineering ...

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Entry Level Economic Data Analyst information

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

AspectEntry Level Economic Data AnalystEntry Level Data Analyst
Required CredentialsBachelor's in Economics, Statistics, or related field; some roles prefer internshipsBachelor's in Data Science, Statistics, or related field; internships beneficial
Work EnvironmentFinancial institutions, government agencies, consulting firmsTech companies, finance, healthcare, consulting
Employer & Industry UsageUsed in economic research, policy analysis, market forecastingApplied in business analytics, product development, market research

Entry Level Economic Data Analysts focus on economic data, policy, and market trends, often working in government or financial sectors. Entry Level Data Analysts have a broader scope, working across various industries with diverse datasets. While both roles require similar educational backgrounds, their industry focus and typical tasks differ, making this comparison useful for those exploring career options in data analysis.

What does an Entry Level Economic Data Analyst do?

An Entry Level Economic Data Analyst collects, processes, and analyzes economic data to help organizations understand market trends and make informed decisions. They use statistical tools and software to interpret data, create reports, and visualize findings. Their work often supports economists and senior analysts in researching topics such as employment, inflation, and GDP. Typical tasks include data cleaning, running basic analyses, and preparing presentations or summaries for internal or external stakeholders.

What are the key skills and qualifications needed to thrive as an Entry Level Economic Data Analyst, and why are they important?

To thrive as an Entry Level Economic Data Analyst, you need a solid background in economics, statistics, and data analysis, often supported by a bachelor’s degree in economics, finance, or a related field. Familiarity with data analysis tools such as Excel, SQL, R, or Python, as well as experience with data visualization platforms like Tableau, is typically required. Strong attention to detail, analytical thinking, and effective communication skills help you interpret and present complex data findings clearly. These skills are crucial for generating accurate insights and supporting sound decision-making within organizations.

What types of projects or analyses can an entry level economic data analyst expect to work on in their first year?

As an entry level economic data analyst, you can expect to work on a variety of projects that involve cleaning, organizing, and interpreting economic datasets. Typical tasks include supporting senior analysts with data collection, preparing reports on economic trends, and performing basic statistical analysis using software like Excel or R. You'll often collaborate with economists, policy analysts, and other team members to ensure data accuracy and contribute insights for decision-making. Over time, you'll gain exposure to more complex modeling and have the opportunity to present your findings to stakeholders, which can help you develop both technical and communication skills.
What are the most commonly searched types of Economic Data Analyst jobs in Texas? The most popular types of Economic Data Analyst jobs in Texas are:
What are popular job titles related to Entry Level Economic Data Analyst jobs in Texas? For Entry Level Economic Data Analyst jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Entry Level Economic Data Analyst jobs in Texas look for? The top searched job categories for Entry Level Economic Data Analyst jobs in Texas are:
What cities in Texas are hiring for Entry Level Economic Data Analyst jobs? Cities in Texas with the most Entry Level Economic Data Analyst job openings:
Infographic showing various Entry Level Economic Data Analyst job openings in Texas as of July 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution.

Data Analyst

H-GAC

Houston, TX • On-site

Full-time

Re-posted 19 days ago


Job description

The Houston-Galveston Area Council is one of the largest regional planning commissions in the country with a diverse service area of 13 counties and more than7million people. We are the pulse of our region addressing issues that cross city limits and county lines every single day.

We make decisions that affect our transportation system, ensure the safety and well-being of our seniors, connect people to jobs, help families recover from natural disasters, preserve water quality for our children, and so much more. We work to make the region a great place to live, work, and thrive.

Job Duties:

  • Support regional planning efforts through advanced land use modeling, data analysis, and forecasting.

  • Apply strong analytical and programming skills to evaluate demographic, economic, and geographic trends that inform long-term planning in transportation, land use, environmental sustainability, and economic development.

  • Apply advanced knowledge in economics, statistics, and data science to develop forecasting models and simulations that guide policy and project development.

  • Manage and analyze large datasets, build scenario-based models, and communicate findings through technical reports and visualizations, demonstrating excellent written and verbal communication skills.

  • Develop and maintain land use forecasting models using SAS and Python, incorporating time-series and spatial analysis techniques to support scenario planning.

  • Conduct simulations to evaluate future land use patterns based on socioeconomic trends and policy drivers.

  • Collect, clean, and validate demographic, economic, and geographic data from public and private sources.

  • Ensure transparency and reproducibility by maintaining data dictionaries and process documentation.

  • Perform quality assurance checks to ensure accuracy of datasets and models, produce technical outputs such as reports and dashboards, and support internal and external stakeholders in interpreting model results.

  • Respond to data requests related to population, employment, and land use from local governments, research institutions, consultants, and the public, and serve as the primary contact for external data inquiries.

  • Present technical concepts clearly to non-technical audience.

 

Key Qualifications

Do you have... 

  • Minimum Education Requirement: Bachelor's degree in Urban Planning, Economics, Mathematics, Statistics, Data Science, or a related field.

  • Minimum Experience Requirement: 36 months of experience developing forecasting models, conducting statistical and spatial analysis, and managing complex datasets, including experience applying proficiency in SAS, and experience in land use modeling, simulation, or scenario analysis. 

#LI-DNI
Employment Type: Full time