2

Full Time Economic Data Analyst Jobs (NOW HIRING)

Master's degree in Mathematics, Computer Science, Economics, or Statistics * 5-7 years experience mining data as a data analyst or business data analyst * Proven analytic skills, including mining ...

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 ...

Indianapolis, IN Job Type: Full-Time * Gather, clean, and organise large datasets from various ... Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Proficiency in data analysis tools such as SQL, Python, R, or Excel. Experience with data visualization ...

Data Analyst

Washington, DC · On-site

$85K - $115K/yr

... economics, mathematics OR a professional certificate of training directly related to data analysis ... or data science. * A minimum of three (3) years of experience in data analysis field. * The ...

QUALIFICATIONS REQUIRED: • Master/Bachelor degree in Statistics, Economics, Industrial Engineering and/or Business. • 1-3 years work experience in data analysis. • Strong background in data ...

Candidates will be responsible for updating our economic calendar with actual figures. To qualify ... update our data without a significant delay from its public release. Some knowledge of ...

Bachelor's degree with at least 2 years of full-time experience in Data Analytics. * Analytical ... Bachelor's Degree in Computer Science, Statistics, Economics or another quantitative field or ...

Senior Commercial Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

... Economics, Data Science, Analytics, or related field 5+ years of experience in data analytics, business intelligence, sales analytics, commercial analytics, or similar roles Advanced SQL skills with ...

Data Analyst Location: Miami, FL Reports to: Director of Data Department: Engineering About eMed ... Adept at queries, report writing, and presenting findings * BS in Mathematics, Economics, Computer ...

Bachelor's degree in a quantitative or analytical discipline such as statistics, mathematics, economics, marketing analytics, or a related field. * 3-5 years of professional experience in a data ...

Showing results 41-60

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 25, 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:

Full-time

Posted 7 days ago


Job description

Hello All,
Greetings from Rootshell Inc.
Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking Functional Data Analystfor one of our client, Please share your resume with current location & full contact info
Role: Functional Data Analyst
Location:Remote
Duration: Long term
JOB DESCRIPTION
We are looking for a data analyst who can help drive business intelligence efforts and support the growth of the Business Process and Finance teams. This role provides an opportunity to solve the company's most interesting problems and develop new business strategies.
• Regularly mine data from large SQL databases
• Build models that lead to better insights and business understanding.
• Design and maintain reports/dashboards and track and communicate key performance indicators.
• Assure quality and data integrity for revenue and business development.
• Build logical and physical data models with Facts and dimensions, aggregates in Snowflake.
• Interact with data source owners and participate in developing project plans.
• Provide original insights beyond the scope of supporting reactive requests.
• Support ongoing analysis of business performance trends and insights required to inform decisions.
• Design and build new dashboards to monitor performance metrics; maintain existing dashboards for accuracy and incorporate changes in the business.
• Build a strong relationship with data engineering to understand data availability, accuracy, and consistency; comfortable providing specifications for data tracking and data warehouse needs.
• Proactively perform data exploration to discover actionable insights.
• Present your research and insights to all levels of the company clearly and concisely.
• Collaborate with IT team and other cross functional systems teams during design and support implementation of business solutions.
• Responsible for designing, monitoring, measuring, and improving the quality of master data.
Qualifications
• Experience in data architecture, data modelling, designing and data analysis with conceptual, logical, and physical modelling for OLAP and Snowflake data warehousing.
• Experience in Normalization of OLTP an denormalization of entities for Snowflake Data warehousing
• Experience ins Data governance and master data management
• Experience in SQL, PL/SQL packages, functions, stored procedures, triggers
• Experience in BI/DW solutions (ETL, Data mart, OLAP) and BI reporting tools like Tableau.
• Exposure to Oracle Fusion Cloud and SFDC functional areas
• Exposure to Statistics, Econometrics, Data Science, and Machine Learning concepts and tools.
• Engineering/technical background analyzing large data sets.
• 5+ years of analytical experience and comfortable working with large data sets Excellent programming logic with comprehension of at least one scripting language (i.e., Python, javascript, C++, R, etc.)
• Experience as an analyst in the following areas: finance, accounting, QTC and non-QTC
• Extensive experience with SQL is critical; additional experience with BI & visualization tools is a strong plus (i.e., Qlik, Tableau, Looker)
• Comfortable working with MS Excel and MS PowerPoint
• Must be intellectually curious, eager to learn, self-motivated, detail-oriented, and able to multi-task
• Able to operate with openness and efficiency with one or more SDLC methodologies (e.g., Scrum)
• Strong communication skills and ability to work collaboratively with cross-functional teams
With regards
Naveen | Talent Acquisition
Rootshell Enterprise Technologies Inc.
Naveen@rootshellinc.com | www.rootshellinc.com