#DWHanalyst #DWHvacancy #vacancy
❇️ **DWH Analyst **❇️ | Company Top Selection
🔥 We are looking for a DWH Analyst for project-based employment
Grade: middle+|senior
Rate: from 288K to 316K
Citizenship/Location: RF only ‼️
Workload: full-time
Term: long-term
Employment: individual entrepreneur only ‼️
Providing analytical and data support for the payroll direction
📌Must have:
- Work experience: from 5 years (including banking reporting experience of at least 2 years);
- Banking sector experience — strictly required;
- Data warehouse experience from 5 years;
- Banking reporting experience from 2 years;
- Understanding of the task lifecycle and ETL processes;
- Knowledge of data warehouse construction technologies;
- Experience with databases: Oracle, PostgreSQL;
- Skills in working with Jira, Confluence;
- Higher education (technical specialization will be a plus);
- Ability to form and formalize business requirements;
- Skills in interacting with internal customers;
- Responsibility, attention to data quality, ability to work on time.
- Experience with FineBI;
- Experience with Python;
✅Desirable:
- Experience in the "debit cards" area.
📝Tasks:
- Development of data marts for the payroll direction;
- Formation of a unified analytical layer for payroll clients;
- Design and development of data marts for portfolio transparency, sales, and client behavior;
- Ensuring correct identification of payroll clients (development of unified business logic);
- Building a management analytics system: forming metrics (funnel, profitability, retention, activity);
- Analysis of the effectiveness of acquisition channels and manager performance, identification of growth drivers and loss areas;
- Development of client lifecycle analytics: behavior analysis, churn, LTV;
- Ensuring data quality and reporting reliability, implementing control mechanisms;
- Formation and support of business requirements for DWH, translation of business tasks into data requirements;
- Preparation of analytics to assess the business effect of initiatives;
- Testing and delivery of work results to the internal customer;
- Agreement of key metrics to evaluate the success of functionality implementation;
- Work with the Data governance platform in terms of knowledge base formation.
