Job Description Lead Data Analyst (Benow Entity)
We at Pine Labs are looking for those who share our core belief - Every Day is Game day. We bring our best selves to work each day to realize our mission of enriching the world through the power of digital commerce and financial services.
Role Purpose
As a Lead Data Analyst, you will be responsible for analyzing, tracking, and optimizing the performance of various sales channels, ensuring maximum efficiency and GMV growth. You will collaborate with cross-functional teams, including Sales, Marketing, Product, and Strategy, to provide data-driven insights that enhance merchant acquisition, retention, and revenue growth.
Responsibilities we entrust you with
Sales Efficiency & GMV Optimization
- Analyze the performance of different sales channels (Direct Sales, Partner Sales, Online Acquisition, Telesales, etc.) to measure their impact on GMV growth.
- Develop predictive models to forecast merchant acquisition trends and optimize sales efforts accordingly.
- Track conversion rates, sales cycle efficiency, and merchant lifetime value (LTV) across different sales engagement models.
- Identify high-value merchant segments and recommend tailored strategies to improve activation and transaction volume.
Data-Driven Strategy & Reporting
- Build interactive dashboards and automated reports to track sales performance, revenue trends, and merchant activity using SQL, Python, and BI tools (QuickSight, Power BI, Tableau, etc.).
- Define and track KPIs for sales efficiency, GMV per merchant, and acquisition cost-effectiveness.
- Conduct A/B testing and sales funnel analysis to enhance engagement strategies for merchants.
- Work closely with marketing and sales teams to measure campaign effectiveness and ROI on merchant engagement initiatives.
Process Optimization & Automation
- Develop ETL pipelines to process large volumes of transactional and merchant sales data.
- Identify and eliminate bottlenecks in the sales process through data-driven automation and insights.
- Provide AI/ML-driven recommendations for optimizing lead scoring, churn prediction, and GMV uplift strategies.
Collaboration & Leadership
- Lead a small team of analysts to deliver actionable insights for sales efficiency.
- Partner with Product, Sales, and Growth teams to ensure data-driven decision-making at all levels.
- Present findings and recommendations to senior leadership, influencing business strategies with data insights.
What Matters In This Role
Relevant work experience
- 5+ years of experience in data analytics, preferably in FinTech, Payments, or SaaS industries.
- Strong knowledge of SQL, Python, R, and data visualization tools (QuickSight, Tableau, Power BI, Looker, etc.).
- Experience in sales analytics, funnel optimization, and revenue forecasting.
- Understanding of merchant behavior, payment transaction flows, and GMV drivers.
- Expertise in predictive modeling, A/B testing, and statistical analysis.
- Hands-on experience with ETL, data engineering, and large-scale data processing.
- Ability to translate complex data into actionable insights for business stakeholders.
- Strong communication skills and experience presenting insights to C-level executives.
Preferred Qualifications
- Experience working in a high-growth FinTech or Payment Solution environment.
- Exposure to AI/ML-driven analytics for customer segmentation and churn prediction.
- Knowledge of CRM tools (Salesforce, HubSpot, etc.) and sales automation platforms.
Experience - 5 - 8yrs
Location - Mumbai
What we Value in Our people
- You take the shot: You Decide Fast and You Deliver Right
- You are the CEO of what you do: you show ownership and make things happen
- You own tomorrow: by building solutions for the merchants and doing the right thing
- You sign your work like an artist: You seek to learn and take pride in the work you do
