Lead Business Analyst - Product

As a Lead Business Analyst at Khatabook, your role is crucial in driving the product strategy and enhancing product performance through robust metric tracking, actionable insights, and a strong experimentation mindset. Role Overview: You will partner with product managers, designers, and engineers to inform product decisions with data, drive product strategy by identifying key product metrics, and collaborate with cross-functional teams to design and evaluate experiments that validate hypotheses and improve product performance. Additionally, you will work closely with Data Science and Data Engineering teams to ensure robust data pipelines are aligned with product goals. Key Responsibilities: - Partner with product managers, designers, and engineers to inform product decisions with data and ensure metric-driven development. - Drive product strategy by identifying key product metrics, tracking them rigorously, and providing insights to improve user engagement, retention, and feature adoption. - Collaborate with cross-functional teams to design and evaluate experiments (A/B tests) that validate hypotheses and improve product performance. - Build and maintain dashboards, reports, and automated systems to monitor product KPIs and surface actionable insights to product and leadership teams. - Mentor junior analysts and contribute to analytical best practices across the organization. Qualifications Required: - 4-5 years of experience in Analytics. - Strong prior experience (3 years) in product analytics. - Proficient in SQL, Excel, and strong working experience with BI tools such as Tableau, Qlikview, Power BI, Cognos, BO, Pentaho, etc. - Strong understanding of statistics, experience with statistical analysis, and designing experiments & A/B frameworks. - Strong quantitative abilities, distinctive problem-solving skills, and excellent analysis skills. - Strong organizational, communication, presentation, and project management skills. - Background in statistical modelling and experience with statistical/scripting tools such as R, Python, Spark, SAS, or SPSS is a plus. As a Lead Business Analyst at Khatabook, your role is crucial in driving the product strategy and enhancing product performance through robust metric tracking, actionable insights, and a strong experimentation mindset. Role Overview: You will partner with product managers, designers, and engineers to inform product decisions with data, drive product strategy by identifying key product metrics, and collaborate with cross-functional teams to design and evaluate experiments that validate hypotheses and improve product performance. Additionally, you will work closely with Data Science and Data Engineering teams to ensure robust data pipelines are aligned with product goals. Key Responsibilities: - Partner with product managers, designers, and engineers to inform product decisions with data and ensure metric-driven development. - Drive product strategy by identifying key product metrics, tracking them rigorously, and providing insights to improve user engagement, retention, and feature adoption. - Collaborate with cross-functional teams to design and evaluate experiments (A/B tests) that validate hypotheses and improve product performance. - Build and maintain dashboards, reports, and automated systems to monitor product KPIs and surface actionable insights to product and leadership teams. - Mentor junior analysts and contribute to analytical best practices across the organization. Qualifications Required: - 4-5 years of experience in Analytics. - Strong prior experience (3 years) in product analytics. - Proficient in SQL, Excel, and strong working experience with BI tools such as Tableau, Qlikview, Power BI, Cognos, BO, Pentaho, etc. - Strong understanding of statistics, experience with statistical analysis, and designing experiments & A/B frameworks. - Strong quantitative abilities, distinctive problem-solving skills, and excellent analysis skills. - Strong organizational, communication, presentation, and project management skills. - Background in statistical modelling and experience with statistical/scripting tools such as R, Python, Spark, SAS, or SPSS is a plus.