Senior Lead Business Analyst - SQL/Python

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 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 : - 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 (ref:hirist.tech)

Location: mumbai, IN

Posted Date: 11/23/2024