Business Analyst

Payrate: $45.00 - $50.00/hr. Summary: This role is highly analytical and execution-focused, with a strong emphasis on data synthesis, modeling, and strategic insight generation. The position involves leading international market sizing and competitive benchmarking for Fashion / Collectibles. Responsibilities • Conduct international market sizing analyses across key geographies using multiple data sources (internal data, third-party reports, web data, and benchmarks). • Build bottom-up and top-down Excel models to estimate TAM, category penetration, and growth trends. • Delve into financial statements and reports to understand key trends and build out models. • Analyze competitor performance and positioning (e.g., traffic, GMV proxies, pricing, supply dynamics) across regions. • Develop standardized Excel frameworks to track market size, growth rates, and competitor metrics over time. • Create and maintain clean, scalable datasets by aggregating and normalizing data from multiple sources. • Perform quantitative benchmarking across competitors, markets, and categories to highlight relative positioning. • Conduct in-depth desktop research and synthesize it into quantitative modeling and qualitative insights to inform business performance and strategy. • Develop and manage vendor partnerships to ensure the best quality of data. Proactively seek areas of improvement and solutions when identifying any gaps. • Support leadership and cross-functional teams with data-driven insights for strategic planning and decision-making. • Manage multiple ongoing projects in an organized fashion, including developing clear project plans, partnering with team members and stakeholders across the organization, and delivering key deliverables in a timely manner. Qualifications • BA/BS degree with 5 years of experience in strategy, analytics, consulting, or e-commerce insights. • Strong business acumen in e-commerce or marketplace models (e.g., buyer/seller dynamics, pricing, assortment, conversion drivers). • Advanced Excel for modeling and analysis. • Strong structured problem-solving and quantitative reasoning capabilities. • Proven ability to translate complex data into clear insights and compelling executive-level narratives. • Excellent communication skills, with the ability to influence mid-level and senior stakeholders. • Experience working cross-functionally in fast-paced, ambiguous environments. • Strong project management and organizational skills, with the ability to manage multiple priorities simultaneously. • High ownership, curiosity in understanding internal and external trends and insights, and a continuous improvement mindset. • Collaborative with a positive, easy-to-work-with approach. Desired Skills • Experience in e-commerce or marketplace platforms. • Proficiency in SQL for data extraction and manipulation. • Experience with data visualization tools (e.g., Tableau, Looker). • Experience working with large, complex datasets. • MBA or equivalent advanced degree. Pay Transparency: The typical base pay for this role across the U.S. is: $45.00 - $50.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match,  life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. 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