Lead- Emerging Business Analytics

At Mahindra Group, we provide an exciting and inclusive work environment that values collaboration, agility, and boldness. At Mahindra Finance, we are all about recognizing the potential in people and empowering them in every way possible. We make every possible effort to create and maintain a milieu which is highly conducive for their growth. Our people are never short of challenges and cross-functional opportunities to help them expand their horizons and learn in a holistic way.

At Mahindra, Together We Rise!

The Lead Emerging Business Analytics will play a crucial role in maintaining the company s competitive edge in the NBFC space. Drive the operational/new initiatives for these businesses and will have the responsibilities of the key business KPIs. This role contributes to the company s overall business by driving innovation, improving decision-making processes, and enhancing financial products and services through the application of data-based insights and ML.

• Collaborate with stakeholders across business, technology, and analytics teams to capture requirements and translate them into actionable tasks and project scopes.
• Conduct detailed exploratory analysis to generate insights that can be integrated into our OneApp for hyper-personalization.
• Extract customer insights from both internal and external data sources to inform business actions that drive revenue growth.
• Utilize data generated by our digital assets, such as our app and website, to build analytical solutions that enhance customer experience and address user drop-offs.
• Design and execute large-scale A/B experiments to validate improvements in key business KPIs and develop a long-term roadmap for the features being tested.
• Work in close collaboration with the Machine Learning/AI team to integrate their model outputs into our digital app and website and distribute the same to offline channels such as branches and call centres.
• Understanding Complex Business Processes: Need to understand and map out complex business processes. This can be challenging, given the role demands working with multiple departments and functions.
• Bridging the Gap between IT and Business: Act as a bridge between the IT department, business units, and analytics team. This can be challenging as it requires a deep understanding of both technical and business aspects.
• Keeping Up with Technological Advances: The field of analytics is constantly evolving with new technologies and methodologies. Keeping up with these changes and learning new tools and techniques are important.
• Stakeholder Management: Managing expectations and maintaining clear communication with various stakeholders can be difficult. Stakeholders may have different priorities and it can be a challenge to balance these and keep everyone informed.
• Data Quality and Management: Ensuring the quality and integrity of data used for analysis can be a challenge. Poor quality data can lead to inaccurate analysis and decision-making.
• Change Management: Implementing new systems or processes can be met with resistance from employees. Managing this change and ensuring a smooth transition is important.

• Working knowledge of Data Science toolbox like: Python, SQL, Jupyter Notebook, Azure/AWS cloud and/or experience with machine learning is a plus
• Deep understanding of HDIEP Framework - Hypothesis, Data Sourcing, EDA, Insights and Presentation. High degree of Emotional Intelligence in managing relationships with internal clients /stakeholders.
• Act as the translator between analytics, IT, and Business teams to effectively deliver business outcomes