Description
The Retail Collection and Settlement Division team is looking for a Data Analyst who will work on the portfolio analytics direction, including factor analysis, process monitoring, and client analytics, with the goal of enhancing the organization's efficiency and achieving better business results.
Responsibilities
- data analysis and visualization: full implementation of a dashboard project, starting from the data analysis and cleansing stage, to creating the final visual model
- gathering and analyzing requirements: effective communication with customers and users to accurately understand their needs and wishes regarding data presentation formats
- development of data mart concept: designing the structure of data marts necessary to provide users with relevant and understandable information
- designing and creating reports: independent development of interactive reports and dashboards, convenient for prompt decision-making by management and company employees
- finding and connecting data sources: organizing the process of connecting various internal and external data sources to populate dashboards with current information
- process optimization: participation in optimizing existing analytical processes and data storage infrastructure
- demonstration and support: conducting demonstrations of created dashboards for key users and management, supporting projects during the operational phase.
Requirements
- Business Intelligence tools: solid experience working with major BI systems such as Qlik Sense, Navigator, Tableau, Apache Superset.
- report design and development: successful experience in building interactive dashboards and analytical panels that allow deriving valuable insights from data
- SQL and working with databases: proficient command of SQL, including writing complex queries, working with large datasets, and query optimization for performance improvement
- Greenplum and Pangolin DBMS: proven experience in effectively using the specified database management systems for analytical purposes
- basics of statistics and data analysis: deep understanding of statistical principles and methods for interpreting the results of large-scale data analysis
- working with clients and users: skills in interacting with customers and end users, ability to correctly identify business needs and transform them into specific data visualization solutions
- principles of proper data visualization: deep knowledge of quality data visualization rules, ensuring clarity of perception and maximum informativeness of created reports and dashboards.
Will be a plus:
- skills in working with generative AI models
- experience in creating AI agents and using them in work will be an advantage
- experience in using GigaChat, Kandinsky and similar tools in products, skills in creating and using AI agents.
Conditions
- work schedule: full-time office (flexible start of the working day: from 8 to 11).
- comfortable modern office near Kutuzovskaya metro station
- corporate gym and rest areas
- more than 400 educational programs from SberUniversity for professional and career development
- flexible mortgage discount equal to 1/3 of the Central Bank's key rate
- extended VHI, preferential insurance for family and corporate pension program
- free subscription to SberPrime+, discounts on products from partner companies
- referral bonus for recommending friends to join the Sber team.
