Job Description

Franchise Data Engineering - BI

Franchise Data Engineering - Business Intelligence team is part of Global Banking & Markets division focused on building sustainable data models, efficient workflows and generate business insights to help the firm improve client service, and minimize risk in the post-trade flow processing across Securities and OTC Derivative products across Equities & FICC businesses. 

HOW YOU WILL FULFILL YOUR POTENTIAL 

The analyst role (2-4 years of experience) involves translating business problems into analytical solutions by crunching data into business decision model. The role requires end-end skills in data engineering, ETL, data modeling, math/logic, visualization, and continuous improvement lifecycle. It requires to establish data lineage across multiple analytical models to provide an exhaustive front to back data model servicing the post trade flow – starting from curating data, building data models, ETL pipelines, warehousing, visualizing and generating business insights.

SKILLS AND EXPERIENCE WE ARE LOOKING FOR 

• Academic Qualifications: Engineering (or) masters in analytics/data science (or) any math/statistics/quant background 
• Expertise in data munging/wrangling methods on large datasets 
• Dimensional modeling, OLTP & OLAP structures, relational data models 
• ETL processes, data integration, data quality framework 
• Experience solving business problems using data and created analysis 
• Databases/Warehousing Platforms: Microsoft SQL server, MySQL, MemSQL/Singlestore, AWS, Snowflake 
• Analytics tools/platforms: Alteryx (preferred), RapidMiner, Informatica, Qliksense or similar 
• Visualization: Tableau (preferred), Qlikview, PowerBI 
• Programming languages: Python (Intermediate), R 
• Experience working in a global team environment 
• Good networking & communication skills 
• Direct business stakeholder interaction & management 

Preferred Qualifications: 

• Has engineering or any quantitative background
• Hands-on experience of Data Engineering & BI – worked end-end from modeling data to analysis and solve business problems 
• Expertise in relational DBs, data modeling and ability to convert business logic/decisions into business metrics 
• Preferred MS-SQL, Alteryx, Tableau & Python 

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. 

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

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Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity