Associate, Business Insights & Planning

Position Summary 

We are seeking a full-time Data Analyst to join our team and contribute to building advanced analytics capabilities that drive business strategies and operational excellence. This role offers hands-on experience in fraud analytics, predictive modeling, and data visualization, alongside exposure to strategic planning and regulatory reporting. You will work closely with senior management and cross-functional teams to transform data into actionable insights that enhance decision-making and risk mitigation.

Key Responsibilities

1. Data Project:

• Drive the firmwide data project requirements including collaborating with tech to ingest new sources of data not captured currently in the Business Intelligence layer, and streamline reporting by creating new visualizations in-line with the bottom-up driver-value maps crafted by various BUs

2. Explore AI/ML capabilities on Snowflake:

• Drive POC projects using Snowflex Cortex Code to explore machine learning use cases for churn prediction, forecasting, price modelling and fraud detection modelling
• Use Snowflake Cortex Analyst/Agent on top of our data lake to develop sandbox streamlit apps that can help users interact with structured data using natural language queries.

3. Champion Data Visualization:

• Design and maintain dashboards and reports that provide clear visibility into business health, fraud trends, and performance metrics using AWS Quicksight.

4. Drive Actionable Insights:

• Analyze large datasets to uncover trends, challenges, and opportunities across business verticals.
• Contribute to predictive modeling initiatives such as churn prediction, pricing optimization, and fraud detection.

5. Support Strategic Planning:

• Assist in preparing monthly business review presentations for senior leadership, translating complex data into meaningful narratives.

6. Regulatory Reporting:

• Contribute to the preparation and automation of statutory return submissions

Requirements

Education and Experience

• Degree in Data Science, Statistics, Computer Science, or a related field.
• Fresh graduates or candidates with 1–3 years of relevant work experience.

Skills and Knowledge

• Strong proficiency in SQL for data extraction and analysis. 
• Strong Python programming skills for data manipulation, statistical modeling, and machine learning workflows. 
• Excellent presentation and communication skills to engage with diverse stakeholders. 
• Strong analytical and problem-solving abilities with a creative, solution-oriented mindset. 
• Self-motivated and able to work independently with minimal supervision. 
• Ability to manage multiple priorities and deliver effectively in a fast-paced environment.
• Familiarity with data visualization tools such as AWS QuickSight, Tableau, Power BI, or similar platforms. 
• Understanding of statistical modeling and machine learning concepts. 
• Familiarity with working with and developing agentic workflows is an added advantage.