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Economics Data Science Jobs (NOW HIRING)

State of Iowa

Data Analyst - Part Time

Des Moines, IA · On-site +1

$30.57 - $47.42/hr

Four years of full-time work experience in business/data/statistical analytics, economic research, or data science A total of four years of education and/or full-time experience (as described in ...

Audiohook

Data Scientist

Eden, UT · On-site +1

Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related quantitative field * 3-5 years of applied data science experience with a focus on marketing ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

LPL Financial

Senior Analyst, Data Science

Fort Mill, SC

$75K - $95K/yr

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field required * Experience with Python for data manipulation, statistical analysis ...

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Economics Data Science information

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$41.5K

$142.5K

$201K

How much do economics data science jobs pay per year?

As of Jul 11, 2026, the average yearly pay for economics data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

Can economics majors work in data science?

Economics majors can work in data science roles, as their training in economic theory, statistical analysis, and quantitative methods provides a strong foundation. Success often depends on acquiring skills in programming languages like Python or R, data manipulation, and machine learning tools. Many data science positions value interdisciplinary knowledge, making economics a relevant background for analyzing and interpreting complex data sets.

What are common projects or responsibilities for professionals in Economics Data Science roles?

Economics Data Science professionals often work on projects that involve economic modeling, market analysis, and forecasting trends using large datasets. Typical responsibilities include gathering and cleaning economic data, developing predictive models, conducting statistical analyses, and translating results into actionable recommendations for business strategy or policy decisions. You may collaborate closely with economists, business analysts, and decision-makers to inform company direction or solve complex real-world problems. This role often involves a mix of independent data exploration and teamwork, offering opportunities to drive impactful results and shape organizational strategy.

What is economics data science?

Economics data science is a field that combines economic theory with data analysis and statistical methods to understand and solve economic problems. Professionals in this area use tools like Python, R, and econometrics to analyze large datasets, forecast trends, and inform policy or business decisions.

What are the key skills and qualifications needed to thrive in the Economics Data Science position, and why are they important?

To thrive in Economics Data Science, you need a strong background in economics, statistics, and programming (especially Python or R), often backed by a degree in economics, data science, or a related field. Proficiency with data analysis tools such as SQL, machine learning frameworks, and visualization software like Tableau is commonly required, and certifications in data science or analytics are advantageous. Excellent problem-solving abilities, communication skills, and a collaborative mindset help distinguish top performers in this position. These skills are crucial for effectively analyzing economic data, generating actionable insights, and conveying complex findings to both technical and non-technical stakeholders.

Is 40 too late for data science?

Economics Data Science is a field that values skills and experience over age; many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with statistical knowledge, can facilitate entry regardless of age, and continuous learning is common in the industry.

What jobs can I get with data science and economics?

With a background in data science and economics, you can pursue roles such as economic analyst, data scientist, financial analyst, policy analyst, or market researcher. These positions often require skills in statistical analysis, programming (e.g., Python, R), and understanding economic principles to analyze data and inform decision-making.

What is an Economics Data Science job?

An Economics Data Science job combines economic theory, statistical analysis, and machine learning to interpret complex data and inform decision-making. Professionals in this field work with large datasets to analyze market trends, forecast economic conditions, and optimize business strategies. They commonly use programming languages like Python or R and tools such as SQL and econometric models. This role is valuable in industries like finance, government, and tech, where data-driven economic insights are crucial.

More about Economics Data Science jobs
What cities are hiring for Economics Data Science jobs? Cities with the most Economics Data Science job openings:
What are the most commonly searched types of Economics Data Science jobs? The most popular types of Economics Data Science jobs are:
What states have the most Economics Data Science jobs? States with the most job openings for Economics Data Science jobs include:
What job categories do people searching Economics Data Science jobs look for? The top searched job categories for Economics Data Science jobs are:
Economics Data Science jobs near you
Infographic showing various Economics Data Science job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
Business Intelligence and Analytics Sr Analyst - Operations (Data Analysis)

Business Intelligence and Analytics Sr Analyst - Operations (Data Analysis)

Dollar General

Goodlettsville, TN • On-site

Full-time

Posted 8 days ago

Dollar General rating

4.0

Company rating: 4.0 out of 10

Based on 4,509 frontline employees who took The Breakroom Quiz

39th of 39 rated national retailers

Job description


Company Overview

General Summary:

Conducts in-depth data analysis with a using a cross functional knowledge of: merchandising, supply chain, and retail operations to identify areas of opportunity to mitigate product shrink and damages. Synthesizes root cause analysis to provide insights and actional recommendations and influence assortment decisions. Leads special projects and activities to minimize shrink and damage risk in our stores to help the company receive its financial goals.


Job Details

Duties & Responsibilities:

  • Develop a deep understanding of shrink and damage data and work cross functionally with the Merchandising and Global Inventory teams to understand how to answer their root business problems or questions using data.
  • Translate data/insights needs into analytics techniques to produce data-driven and actionable insights.
  • Present findings in PowerPoint or PowerBI to stakeholders, “telling the story” With data to non- technical audiences.
  • Answer ad-hoc questions as needed with the ability to explain analytics or digital concepts.
  • Balance a combination of quick turn reporting asks with deeper dive analysis and prioritize appropriately to meet deadlines.

Knowledge, Skills and Abilities (KSAs):

  • Ability to turn data into insights and recommendations, ‘telling the story’ to stakeholders and influencing decisions.
  • Understanding of data visualization and design principles, communicating data dense information in a digestible way.
  • Ability to turn ad hoc analysis into repeatable/scalable templates.
  • Intermediate query skills in 1010data.
  • Strong written and verbal communication skills.
  • Proficiency in Microsoft Office Suite applications.
  • Experience with dashboarding tools like PowerBI preferred.
  • Experience with programming languages like SQL and python preferred.
  • Experience with retail industry preferred.

Qualifications

Work Experience &/or Education:

  • Bachelor’s degree required, Master’s in related field preferred (Business, Economics, Data Science, Engineering).
  • Any suitable combination of education and experience will be considered.
  • 0-2 yrs relevant professional experience in analytics and data science, retail merchandising, financial planning and analysis, asset protection, operations, required.
Qualifications:

Work Experience &/or Education:

  • Bachelor’s degree required, Master’s in related field preferred (Business, Economics, Data Science, Engineering).
  • Any suitable combination of education and experience will be considered.
  • 0-2 yrs relevant professional experience in analytics and data science, retail merchandising, financial planning and analysis, asset protection, operations, required.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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About Dollar General

Sourced by ZipRecruiter

What started as a single store is now a 20+ billion dollar Fortune 119 company. With 140,000+ employees and counting, we’re growing fast and so can you. There are endless opportunities for you, including award-winning training programs and career paths in retail, distribution, transportation or corporate. The possibilities are endless!

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Goodlettsville, TN, US

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