2

Full Time Economic Data Analyst Jobs (NOW HIRING)

Job Type Full-time Description POSITION: Economic Analyst WORK LOCATION: Joint Base Anacostia ... Maintains and updates related data in the IC's authoritative database for worldwide defense ...

Apply advanced knowledge in economics, statistics, and data science to develop forecasting models ... Employment Type: Full time

Data Analytics and Predictive Modeling Develops and maintains economic forecasting models, scenario analyses, and predictive tools to support strategic planning and policy decisions. Uses statistical ...

Economic Analyst

Washington, DC · On-site

$110K - $125K/yr

Maintains and updates related data in the IC's authoritative database for worldwide defense spending. * Conducts research and analysis of foreign economic influence. Responsible for analyzing ...

Company Description Full-Time We are looking for a passionate certified Data Analyst. The ... Economics, Computer Science, Information Management or Statistics Skills: SQL, python, r, excel ...

Required : • Bachelor's degree in Business, Economics, Data Science, or a related field (Data Analytics, Business Analytics, Computer Science, etc.). • Advanced proficiency in Microsoft Excel ...

Required : • Bachelor's degree in Business, Economics, Data Science, or a related field (Data Analytics, Business Analytics, Computer Science, etc.) • Advanced proficiency in Microsoft Excel ...

next page

Showing results 1-20

Full Time Economic Data Analyst information

See salary details

$31K

$73.3K

$130K

How much do full time economic data analyst jobs pay per year?

As of Jul 20, 2026, the average yearly pay for full time economic data analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Economic Data Analyst vs Full Time Data Analyst?

AspectFull Time Economic Data AnalystFull Time Data Analyst
Required CredentialsBachelor's in Economics, Statistics, or related field; often some experience in economic modelingBachelor's in Data Science, Statistics, or related field; may include certifications in data tools
Work EnvironmentResearch firms, government agencies, financial institutionsCorporate, tech companies, consulting firms
Employer & Industry UsagePrimarily in economics-focused roles within finance, government, or researchAcross various industries including marketing, finance, healthcare

Full Time Economic Data Analysts focus on economic data, models, and policy analysis, often requiring economics-specific knowledge. Full Time Data Analysts have a broader scope, working with diverse data types across industries. While both roles analyze data, the economic analyst specializes in economic indicators and trends, whereas the data analyst handles various datasets for business insights.

What field is the highest paid data analyst?

Data analysts working in finance, investment banking, and technology tend to have the highest salaries, especially those with expertise in financial modeling, machine learning, or advanced analytics tools. Specializing in these high-demand industries and acquiring relevant certifications can lead to higher compensation.

Is 40 too late for data science?

A Full Time Economic Data Analyst can start a career in data science at any age, including 40, as the field values skills in statistics, programming, and data analysis. Many professionals transition into data science later in their careers by gaining relevant certifications and experience with tools like Python, R, and SQL.

Can an econ major be a data analyst?

Yes, an economics major can become a data analyst, as the field often requires skills in statistical analysis, data interpretation, and proficiency with tools like Excel, SQL, or Python. Many economic programs provide a strong foundation in quantitative methods that are valuable in data analysis roles.

What does a Full Time Economic Data Analyst do?

A Full Time Economic Data Analyst is responsible for collecting, processing, and analyzing economic data to identify trends, make forecasts, and support decision-making. They use statistical tools and software to interpret large datasets, prepare reports, and present findings to stakeholders. Their work helps organizations understand market conditions, evaluate economic policies, and make informed business or policy decisions.

What are the key skills and qualifications needed to thrive as a Full Time Economic Data Analyst, and why are they important?

To thrive as a Full Time Economic Data Analyst, you need strong quantitative analysis abilities, a solid foundation in economics or statistics, and at least a bachelor's degree in a related field. Proficiency with data analysis tools such as Excel, R, Python, and statistical software like STATA or SAS is typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting and presenting complex data insights. These skills enable analysts to provide accurate, actionable economic insights that support decision-making for organizations or policymakers.

Is it still worth it to become a data analyst in 2026?

Full-time economic data analysts are expected to remain in demand due to the growing reliance on data-driven decision making across industries. Skills in statistical analysis, programming languages like Python or R, and data visualization tools will continue to be valuable, making the role a viable career choice in 2026.

What are some typical challenges faced by Full Time Economic Data Analysts when working with large datasets?

Full Time Economic Data Analysts often encounter challenges such as data inconsistency, missing values, and integrating data from multiple sources. Ensuring data accuracy and cleaning data can be time-consuming, especially when dealing with large and complex datasets. Collaborating with colleagues in research, IT, and policy teams is usually essential to resolve data discrepancies and interpret findings correctly. Staying organized and developing strong coding skills in languages like Python or R can help manage these challenges effectively.
What cities are hiring for Full Time Economic Data Analyst jobs? Cities with the most Full Time Economic Data Analyst job openings:
What are the most commonly searched types of Economic Data Analyst jobs? The most popular types of Economic Data Analyst jobs are:
What states have the most Full Time Economic Data Analyst jobs? States with the most job openings for Full Time Economic Data Analyst jobs include:

Economic Research & Data Analyst

CHAMBER OF COMMERCE METROPOLITAN TULSA

Tulsa, OK • On-site

Full-time

Posted 5 days ago


Job description

Use your data expertise to drive economic strategy. Analyze trends, model impacts, and help shape Tulsa’s growth story!

This position is responsible for providing the research and associated insights to inform strategic planning and the decision-making processes for Tulsa Regional Chamber’s economic development initiatives. This includes efforts related to business attraction and retention, talent recruitment, workforce analysis, and marketing. The position is responsible for managing essential data resources and delivering high-impact insights that inform internal initiatives, support external stakeholders, and help communicate Tulsa’s economic narrative.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
Strategic Research and Analysis:

  • Leads the development of research deliverables that support strategies for business attraction, retention and expansion (BRE), and talent recruitment.
  • Ensures that insights are aligned with organizational goals and provide actionable data to inform decision-making across economic development initiatives.
  • Conducts proactive economic updates, industry research, and trend analysis to uncover emerging opportunities and identify potential risks. Uses these insights to inform strategic planning and support decision-making across economic development initiatives.
  • Designs and conducts economic impact studies using Impact Analysis for Planning (IMPLAN) and related analytical tools. Ensure that methodologies are aligned with best practices and that findings effectively support strategic decision-making and stakeholder engagement.
  • Conducts labor analyses and provides insights with the help of Lightcast and other labor databases.
  • Creates ready-to-use data packages that support business attraction, retention, and talent initiatives.
  • Responds to data requests from Tulsa Regional Chamber teams and external partners by providing accurate, timely, and relevant information tailored to their needs.

Tools and Data Management:

  • Recommends appropriate databases and manages vendors/accounts for existing data subscriptions. Ensures tools are effectively leveraged to support strategic research and economic development initiatives.
  • Stays informed and investigates new tools that could be used to enhance lead generation, labor analyses, forecasting, and reporting capabilities.
  • Ensures that databases are consistently accurate, easily accessible, and strategically utilized across the organization to support informed decision-making and efficient collaboration.
  • Collaboration and Stakeholder Support:
  • Partners with internal teams and external stakeholders to deliver research-based insights and reports that support strategic initiatives.
  • Fulfills Requests for Information (RFIs) and assist in crafting compelling business cases for company relocations or expansions.
  • Provides credible and timely data points to support the development of media and marketing content that promote the Tulsa region.

Thought Leadership:

  • Researches and pinpoints niche markets and emerging sectors that can enhance the Tulsa region’s competitive advantage.
  • Creates industry primers, market analyses, and Tulsa-specific benchmarking studies to support business attraction and economic development efforts.
  • Represents Tulsa Regional Chamber at relevant conferences and build relationships within the national research and economic development community to stay informed and expand strategic partnerships.
  • Performs other incidental and related duties as required and assigned.

KNOWLEDGE, SKILLS, AND ABILITIES: 

  • Requires a Bachelor’s degree from an accredited college or university in economics, data analytics, business administration, or a related field.
  • Requires 3 years of experience in research, economic development, data analytics, or business intelligence.
  • Must have strong computer skills in Microsoft Office Suite (PowerPoint, Excel, and Word).
  • Must have familiarity with public economic and demographic data sources [e.g., Census Bureau, BLS, BEA, National Center for Education Statistics (College Navigator)].
  • Ability to succinctly communicate in business terms what the data/analyses mean and the impact the Tulsa regional community.
  • Demonstrated ability to interpret and visualize complex data for a general audience.
  • Excellent organizational skills with ability to simultaneously work on a variety of projects and requests with short deadlines.
  • Must possess excellent written and verbal communication skills, with the ability to engage effectively with business executives and industry professionals.
  • Demonstrates a strong interest in learning new skills and technologies, including the ability to quickly adapt to and effectively use new software tools.
  • Demonstrates openness to taking direction and exploring new approaches, while also contributing ideas and recommending changes when needed to improve outcomes.
  • Must have high levels of tact and diplomacy.
  • Strong interpersonal skills, excellent written and verbal communication skills, insight into group dynamics, and the ability to develop and foster relationships.

WORK AND PHYSICAL REQUIREMENTS:

  • Work environment: Normally a typical office environment with people, with minimal exposure to excessive noise or adverse environmental issues, with occasional outdoor exposure to heat, cold, and environmental elements.
  • Physical demands: Manipulate, handle, feel, and control items or equipment. Able to read, write, and interpret written documents. Occasionally lift and move objects weighing up to 25 pounds.