We’re seeking someone to join our CDRR Technology team as a Business Analyst, in Firmwide Data Office to Work with cross-functional teams to assess changes and drive improvements in existing Firm’s data governance practices e.g. data quality, as well as associated programmes.
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
This is Associate position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
Job Description :-
| Company: | Morgan Stanley |
| Job Role: | Business Analyst – Associate |
| Batches: | 2021-2025 |
| Degree: | Bachelor’s/Master’s degree |
| Experience: | Experienced |
| Location: | Bangalore, India |
| CTC/Salary: | INR 6-18 LPA (Expected) |
What you’ll do in the role:
- Work with stakeholders to understand requirements
- Analyse, design and assess solution including impact assessment (e.g. assess solution options including impact, pros/cons, data and metadata (business glossaries, data catalogs, DQ rules))
- Work closely with product owners to ensure fit for purpose solution implementation
What you’ll bring to the role:
- Experience in data management, data governance, data quality and data lineage.
- Business Analysis with ability to analyse requirements
- Stakeholder management and ability to explain complex technical concepts clearly to both technical and non-technical audiences.
- Business process design
- Understanding of data structures Business Analyst.
Top skills:-
- Agile
- API
- Business Analysis
- Analytics
- Algorithms
- Analysis
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