RESPONSIBILIITES:

• Perform data management, process uplifts and strategic reporting initiatives for the Asset Secured Lending Business in the US-based Data Analytics (DA) Team
• Partner with teammates in the Bangalore-based DA team on projects and strategic work
• Apply quality control, data validation, and data cleansing processes to new and existing data sources
• Identify and remove redundancies, reduce manual interventions and improve process efficiency effectiveness through automation
• Engage with stakeholders and team members across various GBM business lines to understand, define and implement their reporting and automation requirements
• Work closely with global and regional teams to architect, develop, and maintain advanced reporting solutions
• Translate business requirements into tangible solution specifications and high quality, on time deliverables
• Manage project timelines and completions for committed analytics, automation and reporting deliverables
• Coordinate with Engineering and internal departments to understand business requirements and help define and drive enhancements to Engineering systems
• Manage data dictionaries and large data stores
• Manage and create data related quality control checks for internal databases and provide resolution through analytic research
• Fulfill ad hoc data requests

SKILLS / EXPERIENCE:

• Team-oriented with a strong sense of ownership and accountability
• 1-3 years of experience in data analysis, data modeling, structured / relational databases or Extract-Transform-Load (ETL) processes
• Proficient in SQL and / or interacting with structured data
• Understanding of in industry standard data transformation and reporting tools such as Tableau and Alteryx, or ability to create/build reports and data visualizations
• Must know or be able to learn Excel to an advanced level
• Strong academic background - 4-year engineering, finance or background
• Solid analytical/logical mindset and attention to detail
• Strong communication skills (clear, concise, and confident) with the ability to manage internal and external relationships.
• Ability to organize and prioritize workload and deal with multiple priorities

GOOD TO HAVE:

• Knowledge of Python
• Expertise in structured data management and governance, including effective data transformation processes and efficient data modelling principles
• Mortgage banking or other financial industry experience
• Understanding of structured finance, collateralized lending, fixed income or related finance modeling concepts

ABOUT GOLDMAN SACHS

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