Senior Lead Business Analyst - SQL/Python (8-12 yrs)

Job Description :

Responsibilities :

- 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 centers.

- 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.

Requirements :

- Master's in science, Stats, Business/ Bachelors in Engg, Tech.

- 8-12 years of experience working in Data Analytics in the Banking/Finance industry.

- Working knowledge of Data Science toolboxes 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.