AWM, Marcus by Goldman Sachs, Pricing & Analytics, Analyst, Richardson, TX
Goldman Sachs, Richardson, TX, United States
Responsibilities
You will be developing measurement framework and dashboards to understand delivery operations trends, drivers, and opportunities (e.g., call volume, call type, handle time, themes).
You will use data, analysis, and testing to drive insights and enhancement opportunities to drive pricing and promotion strategies.
You will help with developing forecasting and business case for growth initiatives and work on evaluation and monitoring of test and learn strategies with the ability to demonstrate statistical significance testing.
You will develop automated reporting and measurement tools and models to gain customer insights, draw conclusions and work with business partners to put those insights into action.
You will work closely with business partners, technology and modelling teams to evaluate new and alternate data sources as well as analytical tools.
Qualifications
1-2 years of experience with analytics, metrics, and reporting in the financial services industry or consumer banking preferred.
Demonstrate an ability to effectively communicate and present results highlighting the broader commercial and strategic impact.
Bachelor or advanced degree in quantitative areas like Applied Math, Statistics, Engineering, Computer Science or related disciplines.
Prior experience developing data‑driven strategies in a banking or retail business preferred.
Strong quantitative and analytical skills and experience working with large data sets and Big Data tools and stack (e.g., SQL, Hadoop, etc.).
Competitive spirit with the ability to lead, motivate and build relationships with internal stakeholders.
Strong project management skills; self‑driven; ability to work independently and cross‑functionally.
Required Tools:
Python
SQL
Tableau
Advanced Excel
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
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You will be developing measurement framework and dashboards to understand delivery operations trends, drivers, and opportunities (e.g., call volume, call type, handle time, themes).
You will use data, analysis, and testing to drive insights and enhancement opportunities to drive pricing and promotion strategies.
You will help with developing forecasting and business case for growth initiatives and work on evaluation and monitoring of test and learn strategies with the ability to demonstrate statistical significance testing.
You will develop automated reporting and measurement tools and models to gain customer insights, draw conclusions and work with business partners to put those insights into action.
You will work closely with business partners, technology and modelling teams to evaluate new and alternate data sources as well as analytical tools.
Qualifications
1-2 years of experience with analytics, metrics, and reporting in the financial services industry or consumer banking preferred.
Demonstrate an ability to effectively communicate and present results highlighting the broader commercial and strategic impact.
Bachelor or advanced degree in quantitative areas like Applied Math, Statistics, Engineering, Computer Science or related disciplines.
Prior experience developing data‑driven strategies in a banking or retail business preferred.
Strong quantitative and analytical skills and experience working with large data sets and Big Data tools and stack (e.g., SQL, Hadoop, etc.).
Competitive spirit with the ability to lead, motivate and build relationships with internal stakeholders.
Strong project management skills; self‑driven; ability to work independently and cross‑functionally.
Required Tools:
Python
SQL
Tableau
Advanced Excel
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
#J-18808-Ljbffr