Вакансия Аналитик данных в городе Алматы

Описание вакансии

Responsibilities:

Prepare daily, weekly, monthly, annual and other periodic reports, as well as other one-off reports on demand;
Perform ad hoc reports and provide analysis support as needed;
Develop analysis and presentations for senior management;
Analyze current business performance and make recommendations for improvement;
Provide accurate reporting and analysis of performance against historical data and budget in order to facilitate decision making;
Support DC management, legal management and financial management related issues;
Support the development and implementation of different projects in collection area;
Put forward proposals for the necessary actions to improve the company’s financial and/or other indexes.
Development and Monitor collection KPI’s (Recovery Rate, PTP and KeptPTP, Gross Efficiency etc.)

Requirements:

Education: Economics and math (Economicus, applied mathematics, finances, mathematical statistics); Social sciences (Sociology, political sciences, marketing); Computer sciences (Data analysis, databases, programming, information technology).
Experience: Financial services (lending businesses, banks, cryptocurrencies, credits); or E-commerce, marketing; or Consulting (BIG3, BIG4)
Required fluent English. Desirable Russian and Spanish.
Problem solving, critical thinking. Competence in cognitive biases and logical fallacies.

Required hard skills:

SQL. Any dialects (MySQL, PgSQL, MsSQL). CTEs, window functions, hard queries, stored procedures.
Mathematical statistics. Different types of distributions, correlation, regressions, hypothesis testing.
Excel proficient level. Data sorting, data filtering, pivot tables, vlookup, SUMIF / SUMIFS, charts.
BI tools. Desirable PowerBI but any of tools is OK: Tableu, Grafana, Looker, QlikView, Apache Superset.
A/B testing. Split principles, test planning, logging.

Desirable hard skills:
Python. Data analysis, pandas, numpy, scipy, statsmodels, seaborn, matplotlib etc.
ETL processes. Airflow, Pentaho etc.
IT understanding. Client-server processes. API. Back-end and front-end. Parsing. Algorithms and data structures.
Management. Sprints, AGILE. Waterfall. Soft - Jira, Asana, ActiveCollab, ClickUp, Notion etc.

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