

Infojini Inc
Economic Data Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Economic Data Analyst with a contract length of "unknown," offering a pay rate of "unknown," and is located in "unknown." Key skills required include economic analysis, data analytics, and proficiency in statistical software like R and Python. A degree in a related field or equivalent experience is necessary.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
February 7, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Databases #Predictive Modeling #"ETL (Extract #Transform #Load)" #Database Management #SAS #Python #Visualization #Security #Datasets #Project Management #Data Analysis #Data Cleaning #Batch #R #Documentation #Research Skills #Computer Science #BI (Business Intelligence) #Forecasting #Data Architecture #Data Modeling
Role description
General Characteristics
β’ Supports the user community in the use of business intelligence tools to query files and databases for report outputs.
β’ Assists customers in use of OLAP tools, extracts and collects data for performing queries and writing reports. Reviews queries for performance issues, making changes as needed.
β’ Participates in the design and development of reports, as well as creation of user documentation. Monitors customer usage, upgrades enterprise-wide OLAP query and reporting tools, monitors batch queries and ensures interoperability and security of various front-end components. Maintains meta data coordination and supports production system.
β’ Needed knowledge includes process and data modeling and data architectural development methodologies.
Complexity
Provides support for user community. Works on one or more projects as a project team member. Functions, relatively independent, under direction of senior professionals, supervisors, or managers.
Core Competencies
β’ Economic Analysis & Labor Market Research
β’ Ability to apply economic theories and quantitative methods to analyze workforce trends, employment patterns, and labor market dynamics.
β’ Expertise in interpreting economic indicators and their implications for workforce development policy.
β’ Data Analytics & Statistical Modeling
β’ Proficiency in advanced statistical techniques, econometrics, and predictive modeling.
β’ Skilled in using large datasets to identify trends, forecast employment needs, and evaluate program effectiveness.
β’ Policy Evaluation & Impact Assessment
β’ Competence in assessing the economic impact of workforce development programs and policies.
β’ Ability to provide evidence-based recommendations to inform decision-making.
β’ Technical Communication & Reporting
β’ Strong ability to translate complex economic data into clear, actionable insights for policymakers, stakeholders, and the public.
β’ Skilled in preparing technical reports, dashboards, and presentations.
β’ Project Management & Collaboration
β’ Ability to manage research projects from design to completion, ensuring accuracy and timeliness.
β’ Effective collaboration with state agencies, educational institutions, and industry partners.
Knowledge, Skills, and Abilities (KSAs)
β’ Principles of microeconomics, macroeconomics, and labor economics.
β’ Knowledge of the policies established in the Workforce Innovation and Opportunity Act (WIOA).
β’ Knowledge of Floridaβs implementation of WIOA and related workforce policy, including the 2021 Reimagining Education and Career Help (REACH) Act.
β’ Statistical software (e.g., R, SAS, Stata, Python) and data visualization tools.
β’ Survey design and sampling methodologies.
β’ Longitudinal data analysis of program participants.
β’ Economic impact analysis and cost-benefit evaluation techniques.
β’ Advanced quantitative and qualitative research skills.
β’ Data cleaning, integration, and analysis using large administrative datasets.
β’ Econometric modeling and forecasting.
β’ Technical writing and presentation skills for diverse audiences.
β’ Proficiency in database management and data visualization.
β’ Interpret and synthesize complex economic data for policy development.
β’ Communicate findings effectively to non-technical stakeholders.
β’ Work independently and collaboratively on multidisciplinary teams.
β’ Adapt research approaches to emerging workforce trends and policy priorities.
β’ Maintain accuracy and integrity in data analysis under tight deadlines.
Required Qualifications:
β’ Associateβs or Bachelorβs Degree or technical institute degree/certificate in Computer Science, Information Systems, or other related field, or;
β’ Equivalent work experience (A minimum of seven (7) years of IT experience, including five (5) years of experience in business intelligence tools and systems, and/or five (5) years of experience with economic and/or statistical analysis).
General Characteristics
β’ Supports the user community in the use of business intelligence tools to query files and databases for report outputs.
β’ Assists customers in use of OLAP tools, extracts and collects data for performing queries and writing reports. Reviews queries for performance issues, making changes as needed.
β’ Participates in the design and development of reports, as well as creation of user documentation. Monitors customer usage, upgrades enterprise-wide OLAP query and reporting tools, monitors batch queries and ensures interoperability and security of various front-end components. Maintains meta data coordination and supports production system.
β’ Needed knowledge includes process and data modeling and data architectural development methodologies.
Complexity
Provides support for user community. Works on one or more projects as a project team member. Functions, relatively independent, under direction of senior professionals, supervisors, or managers.
Core Competencies
β’ Economic Analysis & Labor Market Research
β’ Ability to apply economic theories and quantitative methods to analyze workforce trends, employment patterns, and labor market dynamics.
β’ Expertise in interpreting economic indicators and their implications for workforce development policy.
β’ Data Analytics & Statistical Modeling
β’ Proficiency in advanced statistical techniques, econometrics, and predictive modeling.
β’ Skilled in using large datasets to identify trends, forecast employment needs, and evaluate program effectiveness.
β’ Policy Evaluation & Impact Assessment
β’ Competence in assessing the economic impact of workforce development programs and policies.
β’ Ability to provide evidence-based recommendations to inform decision-making.
β’ Technical Communication & Reporting
β’ Strong ability to translate complex economic data into clear, actionable insights for policymakers, stakeholders, and the public.
β’ Skilled in preparing technical reports, dashboards, and presentations.
β’ Project Management & Collaboration
β’ Ability to manage research projects from design to completion, ensuring accuracy and timeliness.
β’ Effective collaboration with state agencies, educational institutions, and industry partners.
Knowledge, Skills, and Abilities (KSAs)
β’ Principles of microeconomics, macroeconomics, and labor economics.
β’ Knowledge of the policies established in the Workforce Innovation and Opportunity Act (WIOA).
β’ Knowledge of Floridaβs implementation of WIOA and related workforce policy, including the 2021 Reimagining Education and Career Help (REACH) Act.
β’ Statistical software (e.g., R, SAS, Stata, Python) and data visualization tools.
β’ Survey design and sampling methodologies.
β’ Longitudinal data analysis of program participants.
β’ Economic impact analysis and cost-benefit evaluation techniques.
β’ Advanced quantitative and qualitative research skills.
β’ Data cleaning, integration, and analysis using large administrative datasets.
β’ Econometric modeling and forecasting.
β’ Technical writing and presentation skills for diverse audiences.
β’ Proficiency in database management and data visualization.
β’ Interpret and synthesize complex economic data for policy development.
β’ Communicate findings effectively to non-technical stakeholders.
β’ Work independently and collaboratively on multidisciplinary teams.
β’ Adapt research approaches to emerging workforce trends and policy priorities.
β’ Maintain accuracy and integrity in data analysis under tight deadlines.
Required Qualifications:
β’ Associateβs or Bachelorβs Degree or technical institute degree/certificate in Computer Science, Information Systems, or other related field, or;
β’ Equivalent work experience (A minimum of seven (7) years of IT experience, including five (5) years of experience in business intelligence tools and systems, and/or five (5) years of experience with economic and/or statistical analysis).






