Description:

InMobi is seeking a Senior Product Analyst to join its dynamic product and analytics team in Bangalore. This role is critical in driving data-driven product decision making, supporting product performance optimization, and influencing advertiser outcomes.

As a Senior Product Analyst, you will work with cross-functional teams including Product, Data Science, Engineering, and Business to derive actionable insights from large datasets, measure product performance, and drive adoption of analytics frameworks across the organization. Your work will directly impact feature development, A/B testing, and product strategy, ensuring InMobi continues to deliver high-impact advertising and AI-driven commerce solutions.

This role is ideal for data-driven professionals with a strong grounding in statistics, SQL, Python, and product analytics who are passionate about translating data into business outcomes.

Key Responsibilities:

• Analyze and interpret large datasets to generate insights that improve product and advertiser performance.
• Partner with Product Managers, Engineers, and Data Scientists to support data-driven product decisions.
• Conduct Exploratory Data Analysis (EDA) to identify new product features, signals, and model improvements.
• Define and implement performance measurement frameworks for experiments, A/B tests, and new feature rollouts.
• Present insights in a clear manner to both technical and non-technical stakeholders.
• Promote adoption of tools like Power BI, log analysis frameworks, and applied experimental statistics.
• Ensure product analytics translate into tangible business outcomes.

Key Technical Skills:

SQL, Python, Advanced Excel, Power BI, Exploratory Data Analysis (EDA), Statistics, Predictive Modeling, A/B Testing, Experimental Design, Product Analytics, Data Visualization

Requirements:

• Bachelor’s/Master’s degree in Engineering, Statistics, Mathematics, Computer Science, or related fields.
• 3+ years of work experience; with at least 2+ years in a Product Analyst, Business Analyst, or Statistical Analyst role.
• Strong expertise in SQL, Python, Excel (Advanced), and Power BI.
• Solid foundation in statistical methods, experimentation, and predictive modeling.
• Strong communication skills with ability to simplify complex analysis for multiple stakeholders.
• Demonstrated ability to collaborate with cross-functional teams to deliver innovative, data-led solutions.
• Interest and passion for metrics, customer-centric data, and business growth strategies.