Вакансия актуальна
Аналитик данных (Debt collection analyst)
Зарплата не указана
MELKAZАлматы
О вакансии
Your daily tasks will be:
- Prepare daily, weekly, monthly, annual, and other periodic reports, as well as ad hoc reports upon request
- Perform ad hoc reporting and provide analytical support as needed
- Develop analyses and presentations for senior management
- Analyze current business performance and provide recommendations for improvement
- Deliver accurate reporting and performance analysis against historical data and budget to support decision-making
- Support DC management, legal, and financial management matters
- Assist in the development and implementation of various projects within the collections area
- Propose necessary actions to improve the company’s financial and other key performance indicators
- Develop and monitor collection KPIs (e.g., Recovery Rate, PTP, Kept PTP, Gross Efficiency, etc.)
What we expect from you:
Education:
- Economics and Mathematics (Economic theory, applied mathematics, finance, and mathematical statistics)
- Computer Science (Data analysis, databases, programming, and information technology)
Experience working in:
- Financial services, lending businesses, banks, cryptocurrencies, credits
- E-commerce, marketing
- Consulting (BIG3, BIG4)
Required technical skills:
- SQL: Proficient in any dialect (MySQL, PostgreSQL, MS SQL). Experienced with CTEs, window functions, complex queries, and stored procedures
- Mathematical Statistics: Knowledge of various distributions, correlation analysis, regression models, and hypothesis testing
- Excel (Advanced Level): Skilled in data sorting, filtering, pivot tables, VLOOKUP, SUMIF/SUMIFS, and chart creation
- BI Tools: Power BI preferred, but experience with other tools such as Tableau, Grafana, Looker, QlikView, or Apache Superset is also acceptable
- A/B Testing: Understanding of split testing principles, test planning, and logging
Beneficial technical abilities:
- Python: Data analysis using libraries such as Pandas, NumPy, SciPy, Statsmodels, Seaborn, Matplotlib, etc.
- ETL Processes: Experience with tools like Airflow, Pentaho, and others
- IT Understanding: Knowledge of client-server architecture, APIs, back-end and front-end concepts, parsing, algorithms, and data structures
- Project Management: Familiar with Agile methodologies (e.g., sprints), as well as Waterfall
- Project Management Tools: Experience with Jira, Asana, ActiveCollab, ClickUp, Notion, etc.
Other skills:
- Languages: Fluent English required;
- Analytical Thinking: Strong problem-solving and critical thinking skills. Familiarity with cognitive biases and logical fallacies is considered an asset
- Willing to relocate to South Africa is a must
We are offering:
- An opportunity to work in an international company within a dynamic, competitive, and fast-paced industry
- Involvement in challenging projects where your contributions will have a tangible impact
- A supportive and collaborative team environment with great colleagues
- A competitive salary of KZT 1 400 000 - 1 685 000 GROSS, based on experience, education, and competencies
Рыночный ориентир
581 246 ₸
581 246 ₸581 246 ₸
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Частые вопросы
Какую зарплату можно ожидать?
В объявлении зарплата не указана. Похожие роли в Алматы часто предлагают около 581 246 ₸ (медиана по 810 предложениям).
Как откликнуться на вакансию?
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Вакансии актуальные?
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