Data Analyst

Description

Sber receives numerous customer inquiries daily, and our task is to provide them with the most comfortable service. To achieve this, we need to monitor operations and control the quality of service provision.

Analysts examine data, identify deviations in the work of contact center specialists to further optimize processes, and model dependencies between data, proposing new methods for assessing and controlling indicators. We work on the GreenPlum(PostgreSQL) and Python platform, using Big Data analysis libraries such as numpy, pandas, and others.

Responsibilities

• data analysis (identifying errors in the work of Sberbank contact center specialists);

• ad hoc analytics based on requests;

• development of algorithms for automated error detection.

Requirements

• good knowledge of GreenPlum(PostgreSQL) capabilities: window functions, nested queries, query optimization, temporary tables;

• knowledge of Python and main data analysis libraries (numpy, pandas). Before the interview, review the functions: merge, cumsum, transform, unstack, groupby, np.where, str.join, str.split, slicing;

• experience with Git and Github, Bitbucket, Confluence, Jira;

• development experience, or a portfolio of personal projects (send links)

• ability to use AI to simplify daily tasks.

Conditions

• employment in accordance with the Labor Code of the Russian Federation;

• annual bonus;

• access to the corporate learning portal;

• working with the extensive database of Russia's largest bank;

• voluntary health insurance, accident and severe illness insurance;

• perks from Sber, partners, and ecosystem companies (preferential lending, including mortgages; increased deposit rates).

Come on! We are waiting for you specifically!