Data Analyst - Risk Domain

Role Overview:

We are seeking a seasoned Data Analyst to join our Mumbai-based team, where you will serve as the bridge between complex datasets and actionable business strategy. In this role, you will spend your day architecting robust data models, automating reporting pipelines, and translating raw numbers into compelling narratives that drive decision-making for senior leadership.

You will collaborate closely with cross-functional teams, including product managers, engineering leads, and business stakeholders, to identify growth opportunities and optimize operational efficiencies. By transforming data into a strategic asset, you will directly influence our product roadmap and contribute to significant improvements in customer retention and revenue growth.

Key Responsibilities:

- Design and maintain scalable data models that ensure data integrity and accessibility for stakeholders across the organization.

- Develop advanced Python scripts to automate complex data extraction and transformation processes, reducing manual reporting overhead.

- Partner with business unit heads to define key performance indicators that align with long-term organizational objectives.

- Conduct deep-dive exploratory analysis to uncover hidden trends and provide data-backed recommendations that improve user experience.

- Present complex analytical findings to non-technical stakeholders through intuitive visualizations and clear, concise reporting.

Required Skillset:

- Proficiency in advanced Data Modeling techniques to structure large-scale datasets for high-performance analytics.

- Expert-level command of Python for data manipulation, statistical analysis, and building automated data pipelines.

- Strong ability to communicate technical insights to diverse audiences, ensuring that data-driven recommendations are understood and implemented by leadership.

- Proven track record of working effectively office environment in Mumbai, demonstrating self-motivation and team collaboration.

- A Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics.

- 5 to 9 years of professional experience in a Model Development, Credit Risk, Predictive modeling