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EVO
RozetkaPay is a payment service that provides convenient, fast and reliable payments both online and offline, making the purchase process simple and safe.
EVO-Rozetka is a group of companies used by millions of Ukrainians every day. RozetkaPay solutions are already used by Rozetka, Prom, Vchasno, Bigl, Shafa, Volonter by Prom, Vodafone, Robota, Tickets and other partners.
We are looking forMiddle Data Analyst / BI Developer, which will initially focus on the construction of management, financial and regulatory reporting and the preparation of data sources for them. In the future, the focus of the role will gradually shift to the formation of a single source of data for reporting - building a transparent and consistent data model for analytics.
Main tasks:
Data sources support in Tableau (views/marts/data sources)">End-to-end construction transferring reports to Tableau:
gathering requirements > preparing data sources > building dashboards > validation > maintenance
Systematization of business logic and its transfer to data sources: minimizing duplication of rules in dashboards and manual files
Participation in the development of DWH / Source of Truth: improvement of the analytical layer
Background of work in data and/or BI analytics 2+ years
System experience with SQL (preferably PostgreSQL): joins, aggregations, CTE, window functions, conditional aggregates; understanding grain, correct work with NULL and filter logic
Experience in building dashboards in BI (preferably Tableau): work with data sources (extract/live), calculated fields, filters/parameters; a basic understanding of how the model and queries affect the speed of dashboards
A basic understanding of data modeling for analytics (facts/dimensions, level of detail, avoiding duplicates on joins)
Proactive collection of requirements and communication with users: identification of needs, proposal of implementation options, agreement of expectations (MVP > improvement)
Data validation/comparison skills and the ability to explain discrepancies in numbers
Systemic thinking, accuracy, responsibility for result
Will be a plus:
Experience in fintech/banking environment or products that have transactional or operational flows (transactions, payments, billing, net/gross logic, etc.)
Basic Python skills (pandas) for ad-hoc tasks, benchmarking and simple automation
Understanding DWH concepts, OLTP vs OLAP, basic understanding of normal forms (1NF–3NF)
dbt / Airflow / cloud DWH (BigQuery/Snowflake/Redshift, etc.)
Git experience
Our offer:
Own area of responsibility and real ownership. The role involves responsibility for the analytical product and the processes around it: from gathering requirements and forming approaches to implementation, data quality control and the final result. A lot of room for initiative and the ability to independently develop an approach to reporting.
Impact on the development of DWH. The opportunity to join the development of data infrastructure and participate in the formation of DWH together with the development team: work at the intersection of analytics and data engineering, influence the structure of data and approaches to their preparation.
Be at the center of data and decisions. Working with large amounts of data and multiple sources, combining information into clear and transparent analytics that are used to make business decisions.
Different teams - different experiences. Collaboration with different divisions helps to better understand the business, improve communication skills and work on different types of tasks.
Stability and support. Official employment, 24 days of paid vacation, health insurance and access to a corporate psychologist.
Flexible work format. Full-time with the possibility to workremoved from the office in Kyiv.
A product with real impact.Working with a payment service that makes life easier for millions of users.
About the recruiting process: getting to know the recruiter > technical interview > final meeting > offer.
Interested?
We are waiting for feedback and acquaintance!