• Manage the company’s user acquisition and retention funnels • Develop, implement, track, and optimize user acquisition campaigns across multiple platforms • Own BI and CRM dashboards and measure the success of marketing channels and efforts • Run experiments and iterate on the highest ROI growth strategies • Work closely with a small team and take ownership of important projects from the get-go

• 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**