• Provide services and support as a Project Facilitation (PF) Services (Data Analyst (DA)) in the Energy, Resources, And Industrials Industry Sector focusing on Management And Operations Solutions for clients such as U.S. Department of Energy’s (DOE) Federal Energy Management Program (FEMP) (DOE | FEMP) | National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL) • Collect and analyze data related to energy use and project performance. • Provide insights and recommendations based on data analysis to support decision-making and optimize energy project outcomes

• Perform data cleaning, transformation, and analysis of financial/agricultural data using Excel • Conduct advanced data analysis for USDA AMS reporting • Provide Agriculture And Food Sector related IT Effectiveness Solutions for USDA - AMS Excel Spreadsheet Modernization Services • Support professional services engagement for Agriculture And Food Sector Clients such as USDA • Collaborate closely with USDA’s Cotton & Tobacco divisions to understand specific spreadsheet needs, ensure user satisfaction, and deliver customized solutions • Manage multiple spreadsheet modernization tasks across divisions while ensuring timely delivery of updates and fixes • Create, modify, and troubleshoot macros for automating processes • Prepare and modernize budgeting and reporting templates • Ensure thorough, accurate, appropriately documented work products • Conduct background checks and drug testing for compliance

• Automate data analysis and extraction processes • Collect, clean, and interpret data from multiple sources, ensuring quality, consistency, and reliability • Develop, maintain, and enhance dashboards and reports using tools such as **Looker Studio** or **Power BI** • Create, optimize, and maintain **SQL** queries for data extraction and manipulation • Analyze trends, patterns, and behaviors to generate strategic insights • Support the development of statistical and predictive models to aid decision-making • Collaborate with technology and business teams to gather requirements and develop data-driven solutions • Ensure data governance, security, and best practices in data usage • Work with digital product metrics and business indicators • Perform data modeling • Conduct exploratory data analyses (identifying patterns, outliers, and opportunities) • Integrate data via APIs (Google, Meta, Taboola, and other sources) • Produce and maintain technical documentation • Identify and implement event triggers on websites (tagging) for digital product analytics • Work with **GTM (Google Tag Manager)** at an advanced level • Work with **GA4** at an advanced level • Master Google tools and products such as **AdSense** and **Ad Manager**

• Designing and launching surveys that will be taken by hundreds of thousands of Americans • Managing the fielding of multiple surveys simultaneously to ensure sufficient data collection on time and on budget • Tracking timelines and priorities and liaising between data scientists, engineers, and client-facing stakeholders • Supporting external outreach efforts, including presentations to clients, political partners, and other vendors and consultants • Analyzing data to answer questions from political strategists and clients • Building subject matter context and thinking critically about our data in order to discern real trends versus potential bugs to flag for our machine learning data scientists • Contributing new ideas to the ways we analyze, interpret, and communicate our data