Infojini Inc

Economic Data Analyst

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
February 7, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - 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 Florida’s 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€’ Associate’s or Bachelor’s 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).