Job Description

TEAM - Data & Analytics Group (DAG)
LEVEL - Consultant
SALIENT FEATURES -
Requirements Required - Yes / No
People Management No
Global Stakeholder Management Yes
Leadership Role for Strategic Projects within function No
Global Lead / Lead for a function with concentration in India (as % of Global) > 70% No
Technical expertise required (market knowledge, specific systems, regulations etc.) Yes
DEPARTMENT PROFILE
Client, together with its investment advisory affiliates, has $1.46 Trillion in assets under management or supervision as of December 2023. Client strives to provide outstanding long-term investment performance, service, and a comprehensive suite of investment management solutions to a diverse client base, which includes governments, institutions, corporations, and individuals worldwide.
Description of Role
We are looking for a career-minded professional with global perspective to join the Mumbai based Data & Analytics Group (DAG).
Key responsibilities
As part of the Data & Analytics Group (DAG) and reporting to the Head of the India DAG locally, the individual is responsible for the following - * Review, analyze, and resolve data quality issues across IM Data Architecture

• Coordinate with data owners and other teams to identify root-cause of data quality issues and implement solutions.
• Coordinate the onboarding of data from various internal / external sources into the central repository.
• Work closely with Data Owners/Owner delegates on data analysis and development data quality (DQ) rules. Work with IT on enhancing DQ controls.
• End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance.
• Interact with business stakeholders to identify, prioritize, and address data-related needs and issues.
• Document business requirements and use cases for data-related projects.
• Manage change control process and participate in user acceptance testing (UAT) activities.
• Implementation of data governance framework as a part of projects involved.
• Identify and escalate issues in a timely manner.
• Support other DAG initiatives.

Key Skills * Ability to interact with business and technology teams to understand processes and data usage

• Ability to do data analysis and trace data lineage
• Capable of working across organization and as part of a cross-functional virtual team.
• Ability to work and think independently, but within a team-based approach.
• Problem solver, self-starter, ability to work through an entire issue lifecycle. Ability to effectively prioritize and multi-task.
• Strong communication skills

Key qualifications * Bachelor's Degree required and any other relevant academic course a plus.

• Strong domain knowledge of investment banking data specifically Private Equity
• 3-5 years of experience in financial services
• Experience in data analysis and profiling using SQL is a must
• Knowledge in coding, Python is a plus
• Experience in working with cataloging tools like Collibra
• Experience working with BI reporting tools like Tableau, Power BI is preferred.