Data Analyst

Job role: Data Analyst

Department: New Age – Data & Analytics

Purpose:

For the role of a data analyst, the candidate needs to gain a deep understanding of the business, identify scope 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.

Responsibilities:

• Scope business requirements and priorities through thorough understanding of the retail portfolio
• 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 status quo to bring about efficient outcomes to existing processes
• Interact closely and build strong relationships with multiple stakeholder teams to bring consensus and reach conclusive outcomes
• Understand the big picture of how analytical solutions drive business outcomes

Key Result Areas:

• Development robust analytical solutions/models
• Timely delivery of projects
• Effective partnership with key stakeholders

Qualifications:

• Post-graduation(Tier 1) with a minimum of 4+ years of credit or risk management experience
• Experience and understanding of advanced analytical tools such as SAS, Python, Spark, Big Data environments