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.
