• Build dashboards in Tableau (primarily), Adaptive Planning, and Google Data Studio to distribute company-wide to inform budget owners of their BvA/PO activity and the ELT about macro trends.• Manage the FP&A relational data model and software stack, using Amazon Redshift, Tableau Server, Tableau Prep, Odoo (ERP), and SQL (DBeaver, Redshift). • Collaborate with the Head of Data as part of the Data Working Group to ensure integrity and governance.• Support the Finance team and budget owners in assessing prior performance and trends, to develop future forecast, lookahead and risks/opportunities• Responsible for tracking activity for various portions of the company’s budgeting and monthly forecasting opportunities as well as reporting which will include updating actuals, budget, and forecast in Adaptive Planning• Develop logic across the organization to develop and vet sound business assumptions, with EV for example• As needed, complete financial analyses for decisions being made in SPARC and across the company • Contribute to periodic and ad-hoc initiatives of the FP&A department

• Support and collaborate with the FP&A team in achieving its goal of optimizing returns on financial investments and projects• Utilize reporting tools and systems to generate and aggregate data from a variety of sources to prepare financial reports at cost center, regional, divisional, and portfolio levels.• Develop, maintain, and analyze trending models associated with specific key performance indicators and proactively share trends and analysis with key internal stakeholders• Maintain capital and operational forecasting schedules, prepare pro-forma financials for various capital projects and corporate directives, and synethesize annual budgets. • Generate and analyze various periodic and ad-hoc reports

• Demonstrated professional, high-quality customer service to 150+ customers per shift. • Consistently helped the store meet daily sales budgets• Received recognition for leading the staff in the number of acquisitions of Mastercard® accounts for the store. These credit rewards accounts are large revenue boosters for the company. • Recovered the store after every closing shift, which included counting and reporting daily cash balances and reinforcing visual merchandising standards• Handled and completed cash and credit transactions on register, managing approximately $5,000 per week

• Selected from a competitive pool of applicants to assist the chair of the economics department with research pertaining to occupational hazard.• Conducted research by compiling quantitative data from two databases (NLSY 79 and NLSY 97), then performed statistical analyses on such findings using STATA. Findings would be presented during weekly meetings.