Data Analyst Senior Associate (7-10 yrs)

Global Stakeholder Management
Leadership Role for Strategic Projects within function
Technical expertise required (market knowledge, specific systems, regulations etc.)

Strong communication skills (both written & verbal) with proven record of communicating with senior stakeholders

Capable of driving multiple projects alone

Data analysis using SQL

Capable of working across organization and as part of a cross-functional virtual team.

Strong domain knowledge of Asset Management data

Understands Data Governance framework

Ability to interact with business and technology teams to understand processes and data usage.

Knowledge in Python is a plus

Experience working with BI reporting tools like Tableau, Power BI is preferred.

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

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 working with BI reporting tools like Tableau, Power BI is preferred.