Data Engineering Client Experience Analyst - Data Engineering - Salt Lake City

Location(s) US-UT-Salt Lake City
Job ID
2021-76726
Schedule Type
Full Time
Level
Analyst
Function(s)
Software Engineer
Region
Americas
Division
Engineering
Business Unit
Client Experience Engineering
Employment Type
Employee

MORE ABOUT THIS JOB

MORE ABOUT THIS JOB

 

Global Market Business Intelligence is part of Franchise Data Engineering team is a global team of 30+ people focused on building data solutions to help the firm develop efficient workflows, improve client service and minimize risk in the post-trade flow processing. We support both Cash & OTC products across Equities & FICC businesses.

RESPONSIBILITIES AND QUALIFICATIONS

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 collecting data, data modeling, warehousing, visualizations and 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

The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.