We are seeking a skilled Data Analyst to drive insights and analytics for a fast-growing B2B AI & SaaS company providing financial modeling and forecasting solutions for eCommerce brands. This role requires analyzing complex financial and operational datasets to uncover actionable insights that help retail leaders optimize business performance and unlock profitable growth. You will work directly with customer data, financial metrics, and business intelligence tools to support product development, customer success initiatives, and strategic decision-making across the organization.
Responsibilities:
Analyze complex eCommerce and financial datasets to identify trends, patterns, and opportunities for customer growth
Create comprehensive reports and dashboards that track key business metrics, customer performance, and product usage
Develop data-driven insights to support customer success teams in optimizing client financial modeling and forecasting
Build and maintain business intelligence solutions using SQL, BigQuery, and modern analytics tools
Collaborate with product teams to analyze feature usage, customer behavior, and platform performance metrics
Support customer-facing analytics by validating data accuracy and creating insights for financial scenario planning
Conduct ad-hoc analysis to answer strategic business questions and support executive decision-making
Partner with data engineers to ensure data quality, consistency, and availability across analytics workflows
Present findings and recommendations to cross-functional teams, including product, sales, and customer success
Requirements:
3+ years of professional data analysis experience with strong expertise in SQL and data querying
Proficiency with business intelligence tools and data visualization platforms (Tableau, Looker, Power BI, or similar)
Strong analytical and problem-solving skills with experience in statistical analysis and data interpretation
Experience working with large datasets, particularly financial or eCommerce data (revenue, transactions, customer metrics)
Knowledge of data warehouse concepts and experience with cloud-based analytics platforms (BigQuery preferred)
Proficiency in Excel/Google Sheets for advanced data manipulation and financial modeling
Understanding of key business metrics, financial KPIs, and eCommerce performance indicators
Strong communication skills with the ability to present complex data insights to non-technical stakeholders
Detail-oriented approach with focus on data accuracy and quality assurance
Ability to work independently and manage multiple analytical projects in a fast-paced environment
