About the Job
About the role
The Lead Analytics heads the analytics function at the intersection of systems analysis, product analytics, and applied business analysis. The role helps the Product Owner and the cross-functional team investigate problems, make data-driven decisions, and design sound end-to-end flows before development begins. The role owns the integrity of functional and system scenarios: how customer journeys span mobile/web channels, backend services, integrations, banking systems, and operational processes; what data and states are created; how alternative and error paths are handled; and how outcomes will be measured after launch.
Research and product analytics
Work with the Product Owner to turn a product problem or hypothesis into research questions, success criteria, and a validation plan.
Conduct desk research and analyze customer inquiries, operational data, product events, and actual user behavior.
Partner with UX Research and Design to combine qualitative research with quantitative data.
Analyze customer journeys, funnels, cohorts, drop-off points, errors, and repeat inquiries to identify root causes and opportunities for growth.
Systems analysis and flow design
Analyze AS-IS processes and design TO-BE processes and end-to-end flows across customer channels, backend services, the core banking system (CBS), integrations, and manual operations.
Document actors, triggers, preconditions, business rules, states and transitions, the happy path, and alternative and error scenarios.
Work through timeouts, retries, cancellations, compensation, manual fallback, reconciliation, and recovery of interrupted processes.
Model processes and interactions using BPMN 2.0, UML Activity/Sequence/State diagrams, context diagrams, customer journey maps (CJM), and service blueprints.
Break down flows into use cases, user stories, and system requirements with verifiable acceptance criteria.
Delivery and analytics practice development
Facilitate discovery, story mapping, refinement, and alignment on complex scenarios across Product,
Design, Architecture, Engineering, and QA.
Resolve ambiguities before development begins and clarify requirements promptly during delivery.
Participate in functional acceptance and verify that analytics tracking is implemented before launch.
Contribute to production incident analysis, identify gaps in flows or requirements, and address systemic root causes.
About You
What we are looking for
At least three years of experience in systems analysis, product analytics, or business analysis, with substantial hands-on experience in systems analysis.
What we are looking for (continued)
Experience leading a small team of analysts, or a sustained track record of functional leadership and mentoring.
The ability to investigate an unfamiliar domain, ask clarifying questions, and distinguish verified facts from assumptions.
Hands-on experience documenting complex end-to-end flows and integration scenarios.
A strong command of BPMN 2.0 and UML, including Activity, Sequence, and State diagrams.
Experience preparing use cases, user stories, functional and system requirements, acceptance criteria, and requirements traceability.
An understanding of microservice and event-driven architectures, and synchronous and asynchronous integrations.
Practical experience with REST/gRPC, Kafka or other message brokers, API/event contracts, and schema evolution.
The ability to design data structures, mappings, and state models; strong SQL skills.
An understanding of product metrics, funnels, cohorts, statistics, and experiment evaluation methods is a plus.
Experience combining quantitative data with qualitative user research.
The ability to describe edge cases, partial failures, and operational exceptions as well as the happy path.
The ability to turn complex analysis into clear diagrams, requirements, findings, and recommendations for different audiences.
Experience with banking or other regulated transactional products is an advantage.
English at Intermediate level or above.
Tools and technology context
BPMN 2.0, UML, context diagrams, CJM, and service blueprints.
Jira, Confluence, Miro, and requirements documentation tools.
OpenAPI/Swagger, AsyncAPI, JSON/Avro/Protobuf, and API tools.
SQL, Python, BI, and product analytics platforms.
Mobile, web, and backend events, metric catalogs, lineage, and data quality monitoring.
Kotlin/JVM, Spring Boot 3/Ktor, PostgreSQL, Kafka, Redis, and REST/gRPC as the system context.
Kotlin Multiplatform and Compose Multiplatform as the context for customer-facing flows.
DDD, bounded contexts, event-driven integration, outbox, idempotency, Saga, and reconciliation.
Product domains: KYC, payments, cards, lending, debit, and daily banking.
Requirement Skill
Agile Business Analysis
System Context Diagrams
Excellent analytical, communication, and leadership skills.
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