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RM&C - Reporting, Automation & Analytics — Analyst
Data Science & Analytics
Risk Management & Compliance (RM&C) — Reporting, Automation & Analytics — Analyst (JMumbai)
Role overview
The RM&C Reporting, Automation & Analytics Associate will support a “fintech-style” function that blends automation/technology build-out with planning & analysis (P&A) responsibilities. The role will design, automate, and maintain reporting and analytics solutions, and deliver high-quality Executive Management Reports (EMRs) and dashboards used by senior leaders across Risk Management and Compliance.
Key responsibilities
- Automation & technology development
- Build, automate, and maintain scalable reporting solutions and data workflows using SQL, Python, Alteryx, Databricks, Tableau, and Anaplan XL.
- Improve process efficiency through standardization, controls, documentation, and simplification of recurring deliverables.
- Maintain and enhance data pipelines, logic layers, and reporting datasets to improve accuracy, timeliness, and auditability.
- Executive reporting & analytics
- Produce and enhance Executive Management Reports (EMRs), including KPI reporting, commentary, variance drivers, and executive-ready presentation materials.
- Develop and maintain dashboards (including headcount dashboards and non-compensation expense dashboards) and ensure consistent definitions and metrics.
- Deliver weekly/monthly headcount reporting and support hierarchy maintenance (org structures, reporting lines, cost center/management hierarchies) to enable accurate rollups and insights.
Perform ad-hoc analytics and deep dives for senior management, including trend analysis and root-cause investigation.
- Stakeholder management
- Face off with stakeholders across Risk Management and Compliance to gather requirements, translate them into repeatable solutions, and communicate progress/status.
- Partner effectively with Finance and adjacent teams as needed to align data, definitions, and reporting outcomes.
Required qualifications
- Strong hands-on experience with SQL (querying, data validation, reconciliation, and performance-aware design).
- Working proficiency in Python for automation, analytics, and repeatable data processing.
- Strong experience with Alteryx (workflow automation) and Tableau (dashboard development and maintenance).
- Experience using Databricks for data preparation/analysis and building scalable datasets.
- Experience with Anaplan XL (reporting outputs, model interaction, and planning/reporting workflows).
- Strong analytical and problem-solving skills, with comfort explaining variance drivers and business impacts.
- Ability to create clear, executive-ready deliverables (strong Excel and PowerPoint skills).
- Strong communication skills and ability to operate effectively with senior stakeholders.
- High attention to detail, sound judgment, and ability to handle confidential information.