Data Analyst - Financial Services

Data Analyst

Roles and Responsibilities:

- Manage end-to-end delivery of analytics service engagements for a US-based banking client.

- Work with large and complex datasets, including handling multiple data sources, assessing data quality, and collaborating with client data owners to resolve issues.

- Understand mainframe data systems, mine data to diagnose issues, identify resolution pathways, and implement solutions.

- Lead teams of analysts to structure business problems, develop analytical methodologies, and ensure quality control of results.

- Execute analytical methodologies on analytics platforms and develop custom scripts as needed.

- Generate detailed documentation of analysis while ensuring compliance with relevant policies.

- Create executive-level business presentations that diagnose problems, outline resolution strategies, and provide actionable business recommendations.

- Use analytical tools (e., Python, SQL, PySpark) to perform in-depth analysis and derive insights.

- Translate complex technical findings into clear, concise business language for effective presentation.

- Manage multi-tier client engagements with a focus on program execution and delivery excellence.

- Maintain high levels of client satisfaction and ensure strong Net Promoter Scores (NPS).

Candidate Profile:

- Minimum 5 years of experience in consulting and analytics delivery.

- At least 3 years of experience in Banking and Financial Services analytics.

- Bachelor's or Master's degree in Mathematics, Statistics, Economics, Computer Engineering, or a related analytics field.

- Experience in financial services and risk analytics domains.

- Strong understanding of banking operations, products, and processes