Middle Data Analyst (FinTech) in 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, Yakaboo and other partners.

We are looking forMiddle Data Analyst (FinTech) to the Risk Team. The main task is data analysis and interpretation, construction of complex reports and models, control of transactions and credit portfolio.

The future specialist will work with already existing infrastructure and dashboards, but the project is large-scale and requires independence in the development of new analytical solutions and proposals for improvements.

What will be the focus of the role:

• Visualization of key business reports in Tableau and other tools.

• Search for anomalies and regularities in data: fraud, high rejection rate, customer cheat rate.

• Scoring and evaluation models.

• Analysis of the customer funnel. style="font-weight: 400; font-style: normal; text-decoration: none">

  Participation in building a data warehouse.

• Interpretation of the results and business decisions for the team of data scientists.

• Communication with all parties: internal teams and external data providers.

• Generation of proposals for improvements, risk assessment and preparation of recommendations for product development.

What is needed for success:

• 3+ years of analytics experience in banks (loans, transactions) or enterprise companies with big data.

• Experience with SQL, Tableau/Power BI, BigQuery, Excel + VBA, Google Sheets.

• Participation in the development of DWH or data warehouses.

• Orientation to details and willingness to "climb into data".

• Communication and ability to explain solutions, generate proposals and coordinate work with other teams.

It will be a plus:

• Experience in developing scoring models.

• Deep understanding of credit products and their components.

• Knowledge of Python/R for analytics and ML.

• Experience working with large financial flows and complex data.

Our offer:

• Be at the center of data and decisions. The ability to work with a large amount of data, combine information from three sources and really influence the development of the product and business processes. others.

• Different teams - different experiences. Cooperation with different divisions allows you to pump communication, analytical and leadership skills while working on interesting tasks.

• Stability and support. Formal employment, 24 days paid vacation, health insurance and access to a corporate psychologist.

• Flexible work format. Full-time with the opportunity to work remotely or from the office in Kyiv with comfortable conditions.

• Values and social responsibility. Transparent processes, equal opportunities, participation in team building, volunteer initiatives and professional community.

• A product with real impact. Working with a payment service that makes life easier for millions of users.

Interested?
We are waiting for feedback and acquaintance!