Senior Data Analyst

✅ We are looking for a Senior Data Analyst in Armenia.

We are building a Customer Intelligence & Personalization Platform for an ecosystem of businesses in Armenia. At its core is the Golden Record: a unified customer profile that combines data from the bank, ecosystem products, and external sources.

‼️ If you worked as a data engineer and spent a significant part of your time understanding what's in the source, then this is for you. If you received ready-made clean data marts, then probably not.

🏆 AI-native approach: We use an AI-native approach and expect the same from the candidate: AI tools are used for legacy analysis, schema analysis, SQL writing, and documentation.

The task is to design the layer between the raw data of the core banking system and the platform's data marts. The source is poorly documented: some values are encoded, some business logic is implemented in code and stored procedures, two externally identical records can be assembled by different algorithms from different tables.

We need a person who will deconstruct this source and turn it into a coherent data model: what comes from where, what affects what, what a field means.

● Explore the core banking system, legacy and external sources, reconstruct their semantics ● Work from the target data mart back to the source: determine which tables and using what logic each attribute is collected ● Differentiate cases where data that looks identical is obtained through different paths, and document the selection rules ● Describe the data model and metadata: entities, relationships, grain, keys, historicity ● Formulate requirements for data marts for segmentation, scoring, and recommendations ● Write SQL-based research and transformation prototypes, test hypotheses with data ● Clarify the meaning of data directly with bank employees — this is a constant part of the job

● Strong SQL: window functions, complex join chains, analysis of quality and distributions ● Experience in reverse engineering poorly documented sources ● Understanding of data modeling: entities, grain, keys, historicity, master entities ● Experience with banking or fintech data (Core banking (especially ArmSoft) / legacy banking systems, Customer 360) or experience analyzing raw banking data about customers and products from poorly documented systems for marketing and financial analytics ● Python at the data exploration level ● Ability to independently bring a task from "here's the raw data, here's the target data mart" to completion ● Proactiveness: willingness to clarify the meaning of data from people, not wait for documentation ● Git, Linux, experience working in closed Dev/UAT environments

Interaction as an individual entrepreneur (IP) Location - Armenia Work format - hybrid, willingness to work from the bank's office up to 3 times a week.