Senior Manager - Business Analytics

Key Responsibilities:

Data Modeling & Dashboard Development

• Design and implement data models, reporting infrastructure, and dashboards to support business decision-making.
• Develop automated reports and visualizations using Power BI, Tableau, or Google Data Studio.
• Conduct deep-dive analysis on business performance, trends, and key drivers.

Business Process Optimization & Decision Support

• Identify inefficiencies in business processes and drive the adoption of data-driven solutions.
• Partner with product and business teams to provide insights that optimize operational performance and enhance user experience.
• Influence new business opportunities and strategies based on internal and external data analysis.

Advanced Analytics & Problem-Solving

• Execute quantitative analysis to identify trends, anomalies, and growth opportunities.
• Develop statistical models and predictive analytics to improve forecasting and strategic planning.
• Provide actionable insights that drive user engagement, revenue growth, and operational efficiency.

Stakeholder Collaboration & Data-Driven Culture

• Work closely with cross-functional teams to enable a data-driven approach in decision- making.
• Present analytical findings to senior leadership, translating complex data into clear business recommendations.
• Establish best practices for data accuracy, collection, and governance.

Required Qualifications & Skills:

• 5+ years of experience in business analytics, data science, or a similar analytical role.
• Bachelor s degree in Engineering, Computer Science, Mathematics, Statistics, or a related discipline.
• Expertise in SQL, Excel (Pivot tables, VLOOKUP, HLOOKUP, graphs), and data visualization tools (Power BI, Tableau, QlikView, Google Data Studio, etc).
• Strong knowledge of analytics platforms like Mixpanel, Google Analytics, and Clevertap.
• Experience handling large, multi-dimensional datasets and executing complex data analysis.
• Ability to synthesize data, identify patterns, and present insights in a compelling manner.
• Strong critical thinking, problem-solving, and business process optimization skills.
• Ability to multitask in a fast-paced environment and work on diverse business requirements.

Preferred Qualifications:

• Understanding of statistical tools and machine learning techniques.
• Prior experience in a consumer tech, robotics, or AI-driven company.