Finance & Data Insights Analyst (US - Remote)

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Requirements:

• Bachelor’s degree in Data Science, Analytics, Finance, or a related field.
• 2+ years of experience in finance, consulting, business intelligence, or data analytics roles
• Experience in e-commerce and/or wholesale in consumer goods
• Highly organized with rigorous attention to detail
• Proficiency in complex data analysis and financial modeling
• Advanced Excel skills (pivot tables, VLOOKUPs, modeling, etc.); experience with BI tools (Tableau, Power BI) is a plus.
• Experience with Netsuite, Shopify, e-commerce metrics and digital marketing analytics is an advantage
• Proven ability to thrive in a fast-paced, high-growth environment and adapt to changing work environments
• Intellectually curious
• Excellent communication and interpersonal skills, with the ability to work effectively with senior leadership and cross functional teams.
• Accomplished in driving change, achieving results and continuously improving performance.

Responsibilities:

• Analyze marketing, financial, product and operational performance data to track key metrics, developing insights and recommendations based on trends (e.g., customer acquisition cost, return on ad spend, product margins, etc.).
• Build and maintain dashboards in Excel and BI tools (e.g., Power BI, Tableau) to visualize key business trends.
• Identify key data trends and anomalies, providing actionable recommendations to improve marketing efficiency, customer retention, and profitability.
• Perform deep-dive analyses on customer behavior, product performance, and business unit profitability to uncover growth opportunities.
• Support budgeting, forecasting, and variance analysis to help guide decision-making. Help improve forecasting accuracy by identifying key drivers and data trends.
• Assist in building financial models for revenue, costs, and key business initiatives.
• Prepare monthly budget vs. actual reports and highlight key trends for leadership.
• Conduct ad hoc financial analyses to support strategic planning and business growth.
• Assist in automating reports and streamlining data collection processes.
• Ensure data accuracy and integrity across financial and operational reports.
• Support process improvements to make financial reporting more efficient and actionable.
• Work closely with senior leadership in addition to the Finance, Marketing, and Operations teams to analyze and support decision-making.
• Learn and apply best practices in financial analysis, data visualization, and reporting.
• Contribute to a data-driven culture by helping teams use insights for better decision-making.