Principal Data Analyst

Job Description

Job Requirements About the Role As a Principal Data Analyst in the Data & Analytics function at IDFC FIRST Bank, you will play a strategic role in driving data-driven decision-making across the organization. You will leverage advanced analytics, statistical modelling, machine learning, and optimization techniques to solve complex business problems. In addition to hands-on analytics, you will provide technical leadership, mentor peers, and contribute to the bank?s data strategy and innovation agenda. Key Responsibilities Primary Responsibilities Act as the chief authority in data analysis and reporting, ensuring analytical outputs meet business and regulatory standards. Partner with the Head of Analytics to align reporting and insights with strategic priorities. Lead complex analyses across portfolios (assets, liabilities, credit cards, etc.) and deliver actionable insights for senior management. Review and challenge outputs from Leads and Senior Analysts, ensuring accuracy, timeliness, and consistency. Define best practices, frameworks, and standards for modelling, MIS, dashboards, and analytical reporting across the bank. Mentor and coach Leads and Senior Analysts, building technical and business domain depth. Drive automation and modernization of MIS and dashboards to enhance speed and efficiency. Ensure regulatory reporting (RBI/SEBI/other authorities) is accurate, consistent, and audit-ready. Collaborate with data engineering and governance teams to improve data quality, lineage, and availability. Research and introduce new tools, visualization methods, and analytics practices to strengthen insight generation. Represent the analytics function in key cross-functional projects, regulatory reviews, and senior forums. Ensure alignment of analytical solutions with broader business objectives and data governance standards. Managerial & Leadership Responsibilities Provide technical direction and mentorship to the engineering and analytics teams. Collaborate with sales and client partners to develop new business opportunities and manage existing relationships. Contribute to thought leadership in the data and analytics space through white papers, presentations, and industry forums. What We Are Looking For Education Bachelor?s Degreein BSC or B.Tech or BCA Postgraduate Degreein M.SC or M.Tech or MCA or MA Experience 10+ years of relevant experiencein data analytics, data engineering, or related fields, with a strong background in advanced analytics and automation. Skills and Attributes Expertise in data analysis, statistical modelling, and machine learning. Strong programming skills in Python, Shell, PERL, and other scripting languages. Experience with metadata management, orchestration tools, and server automation. Ability to design and implement scalable, automated data solutions. Strong problem-solving and debugging skills. Excellent communication and stakeholder management abilities. Proven leadership in cross-functional teams and client-facing roles. Key Success Metrics Development and deployment of advanced analytical tools and models. Delivery of impactful business use cases and automation solutions. Technical leadership and mentorship effectiveness. Contribution to innovation and thought leadership in the data domain.