Quantitative Analyst | Data Tracking Tools, Workforce Policy Analysis And Convening Support [DOEOP092097]

ProSidian Seeks a Quantitative Analyst | Data Tracking Tools, Workforce Policy Analysis And Convening Support [DOEOP092097] - DPLH Est.: 480 Hrs. ST | 0 Hrs. OT on a Exempt 1099 Contract: No Overtime Pay Contract Contingent Basis Mid Atlantic | List Partner Company Labor Category - Civil Structural Engineer DS107 Mid Level Professional aligned under services related to NAICS: 0 - DPLH Est.: 480 Hrs. ST | 0 Hrs. OT on a Exempt 1099 Contract: No Overtime Pay Contract Contingent Basis located CONUS - Washington DC Across The Mid Atlantic Region supporting a branch of DOE that leverages science and technology to address energy, environmental, and nuclear challenges, advancing climate and energy policies through strategic studies and policy analysis supporting analytical capabilitiesSeeking Quantitative Analyst candidates with relevant Energy, Science, and Technology Research Sector Experience (functional and technical area expertise also ideal) to support professional services engagement for Energy, Science, and Technology Research Sector Clients such as DOEOP.  This as a Contract Contingent or Contract W-2 (IRS-1099) Data Tracking Tools, Workforce Policy Analysis And Convening Support Functional Area - Energy Technical Consulting Position; however, ProSidian reserves the right to convert to a Full-Time ProSidian employed W-2 Position.JOB OVERVIEWProvide services and support as a Energy Technical Consulting (Quantitative Analyst) in the Energy, Science, and Technology Research Industry Sector focussing on Business Process Solutions for clients such as Department of Energy  (DOE | OP) | DOE Office of Policy (OP) Generally Located In CONUS - Washington DC and across the Mid Atlantic Region (Of Country/World).RESPONSIBILITIES AND DUTIES - Quantitative Analyst | Data Tracking Tools, Workforce Policy Analysis And Convening Support [DOEOP092097]Performs statistical and data-driven analysis to evaluate workforce trends and policy impacts. Align with Data Tracking Tools, Workforce Policy Analysis And Convening Support Functional Area initiatives as a Quantitative Analyst that Conduct quick-turnaround and long-term quantitative analyses for policy-relevant questions and workforce modeling  Provide Public Comment Review, Data Analysis, Modeling, Evaluation, Mapping, Forecasting And Report Development, Data Tracking Tools, Workforce Policy Analysis And Convening, as well as Energy Market Economic And Regulatory Analysis Technical Consulting Services and support for The Department of Energy (DOE) Office of Policy (OP).  These services enable mission objectives involved with renewable energy, fossil fuels, nuclear energy, hydrogen, biofuels, carbon capture, energy storage, grid modernization, energy efficiency, and sustainable infrastructure technologies. Align with Data Tracking Tools, Workforce Policy Analysis And Convening Support Functional Area initiatives as a Quantitative Analyst that Conduct quick-turnaround and long-term quantitative analyses for policy-relevant questions and workforce modeling.  Provide Public Comment Review, Data Analysis, Modeling, Evaluation, Mapping, Forecasting And Report Development, Data Tracking Tools, Workforce Policy Analysis And Convening, as well as Energy Market Economic And Regulatory Analysis Technical Consulting Services and support for The Department of Energy (DOE) Office of Policy (OP).  These services enable mission objectives involved with renewable energy, fossil fuels, nuclear energy, hydrogen, biofuels, carbon capture, energy storage, grid modernization, energy efficiency, and sustainable infrastructure technologies. Quantitative Analyst is responsible for key functions such as developing analyses, supporting initiatives, and ensuring alignment with project objectives. Build tools and perform analysis to address workforce transitions and align energy policies with economic priorities. Build tools and perform analysis to address workforce transitions and align energy policies with economic priorities.