We are looking for an experienced analyst to participate in a large-scale project to implement an individual pricing system at Sberbank. The project aims to increase the bank's profit through personalized offers to clients.
Responsibilities
- Collection and preparation of data for building analytics and elasticity models (aggregation of data from the bank and subsidiaries, preparation of feature stores for models)
- Analysis of the bank's client base (client segmentation, identification of behavioral patterns)
- Search for hidden patterns ("insights")
- Development and testing of ideas to improve the efficiency of current processes, optimize costs, and increase the bank's sales and revenue
- Participation in the development of an individual product pricing and bundling system
- Preparation of reports and presentations for the bank's management.
Requirements
- Excellent SQL skills (experience in writing complex queries and analyzing large volumes of data; use of analytical functions and ETL procedures)
- Excellent Oracle, Greenplum, Spark, Hadoop, Hue skills (understanding of data warehouse organization and structure)
- Good knowledge of Python — ability to use pandas, numpy, matplotlib, and seaborn libraries for data processing and visualization
- Advanced Microsoft Excel skills (creating pivot tables, macros, automating reporting)
- Knowledge of the basics of mathematical statistics and machine learning methods (regression, cluster analysis, decision trees).
Conditions
- Comfortable modern office near Kutuzovskaya metro station
- Work format - office
- Annual salary review, annual bonus
- Corporate gym and recreation areas
- Over 400 educational programs from SberUniversity for professional and career development
- Extended VHI (Voluntary Health Insurance), preferential family insurance, and corporate pension program
- Flexible mortgage discount equal to 1/3 of the Central Bank's key rate
- Free SberPrime+ subscription, discounts on products from partner companies
- Reward for recommending friends to the Sber team.
