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 –

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

Key Skills

  1. Ability to interact with business and technology teams to understand processes and data usage
  2. Ability to do data analysis and trace data lineage
  3. Capable of working across organization and as part of a cross-functional virtual team.
  4. Ability to work and think independently, but within a team-based approach.
  5. Problem solver, self-starter, ability to work through an entire issue lifecycle. Ability to effectively prioritize and multi-task.
  6. Strong communication skills

Key qualifications

  1. Bachelor’s Degree required and any other relevant academic course a plus.
  2. Strong domain knowledge of investment banking data specifically Private Equity
  3. 3-5 years of experience in financial services
  4. Experience in data analysis and profiling using SQL is a must
  5. Knowledge in coding, Python is a plus
  6. Experience in working with cataloging tools like Collibra
  7. Experience working with BI reporting tools like Tableau, Power BI is preferred.

 

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