Data Analyst

For the role of a senior data analyst, the candidate needs to gain a deep understanding of the business, identify opportunities to use analytical solutions to aid business decision-making, and drive business outcomes. This is a techno-functional role where the candidate will have the opportunity to interact closely with the business stakeholders as well as explore new-age analytical techniques. This role also encompasses leading and mentoring a team of Data Analysts

Responsibilities:

• Scope business requirements and priorities through thorough understanding of the banking portfolios.
• Gain expertise over data to derive meaningful insights.
• This includes in-depth exploration and comprehension of different data fields from the source systems and data marts.
• Design and implement analytical solutions to meet business needs.
• Explore different new-age algorithms and advanced computational methods to develop robust models and analytical frameworks.
• Perform case reviews to innovate on new variable ideas.
• Create processes and controls to ensure that data, analyses, strategies and recommendations are accurate.
• Have an understanding of model governance and key model/variable tracking metrics.
• Challenge the status quo to bring about efficient outcomes in existing processes.
• Interact closely and build strong relationships with multiple stakeholder teams to bring consensus and reach conclusive outcomes.
• Mentor and lead a high-performing team to aid in achieving organisational goals.
• Understand the big picture of how analytical solutions drive business outcomes.

Key Result Areas:

• Develop robust analytical solutions/models.
• Timely delivery of projects.
• Effective partnership with key stakeholders.
• Managing and coaching team members.

Requirements:

• Post-graduation with a minimum of 2+ years of experience.
• Experience and understanding of advanced analytical tools such as SAS, Python, PySpark, and Big Data environments.