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Data Analyst_Asociate_Data & Analytics Engineering

Data Analyst_Asociate_Data & Analytics Engineering

Morgan StanleyMumbai, India
22 days ago
Job description

We're seeking someone to join our team as Data Analyst for Firmwide Data Office department. The vision for the FDO is a multi-year effort to simplify firm's data architecture front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control for data, empowering developers by providing consistent means of handling data and providing a platform to implement future change initiatives faster, cheaper and easier.

Data governance is a very topical subject in both finance and technology industries. There is a significant demand within the firm, and we are currently a relatively small, lean team of around 100 people globally distributed between London, New York, Montreal and Shanghai. We have built out a team of 20 in Budapest, plan to further expand the global team size significantly in the coming years.

CDRR_Technology

The Cybersecurity organization's mission is to create an agile, adaptable organization with the skills and expertise needed to defend against increasingly sophisticated adversaries. This will be achieved by maintaining sound capabilities to identify and protect our assets, proactively assessing threats and vulnerabilities and detecting events, ensuring resiliency through our ability to respond to and recover from incidents and building awareness and increase vigilance while continually developing our cyber workforce.

Firmwide Data Office

Data COE team is distributed globally between New York, London, Budapest, India, and Shanghai; and are engaged in a wide array of projects touching all business units (Institutional Securities, Investment Management, Wealth Management) and functions (e.g., Operations, Finance, Risk, Trading, Treasury, Resilience) across the Firm. The team vision is a multi-year effort to simplify firm's data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper, and easier.

Data & Analytics Engineering

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.

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 a Cloud & infrastructure Engineering III position at Director Level, which is part of the job family responsible for managing and optimizing technical infrastructure and ensuring the seamless operation of IT systems to support business needs effectively.

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.

Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on...

What you'll do in the role :

  • Be part of a team of innovative data management experts who will engage with business, operational and technology teams in order to :
  • Inform them and provide guidance on the concepts of data management and governance.
  • Support their efforts to deliver and maintain the firm's Global Data Quality Policy.
  • Pursue data quality best practices and implement rules which will mitigate the risks related to the data used in the firm.
  • Deliver regulatory requirements pertaining to the data used or produced by the firm.
  • Provide support and guidance on queries related to data cataloguing and extracts

Self-Serve Dashboards, Metrics, Reports support and associating minor / moderate fixes when required

  • Perform root cause analysis, identifying common themes across data issues and suggest solutions - triaging amongst internal Teams
  • Understand, capture and document new requirements relating to Reporting Services
  • What you'll bring to the role :

  • At least 2 years' relevant experience would generally be expected to find the skills required for this role
  • Demonstrated experience in enterprise data management, data quality principles and methodologies.
  • Demonstrated experience in stakeholder management.
  • Experience with data visualization technologies (such as Tableau, PowerBI).
  • Experience with data analysis and manipulation (such as DataIKU, PowerQuery).
  • You might also have : (nice to have skills)

  • Experience with data centric tools around data lineage and dictionaries, common data access APIs, golden source identification, ontology / taxonomy development, Data DevOps.
  • Experience with meta data management tools (such as Collibra).
  • Experience with Agile methodology (Scrum, Kanban).
  • Experience with Python
  • Experience with APIs.
  • Experience with management of PII and other sensitive data.
  • Understanding of finance regulatory drivers (Mifid II, AML, KYC).
  • WHAT YOU CAN EXPECT FROM MORGAN STANLEY :

    We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

    To learn more about our offices across the globe, please copy and paste https : / / www.morganstanley.com / about-us / global-offices into your browser.

    Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

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    Data Engineering • Mumbai, India

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