System Analyst

Responsibilities

• Gather and formalize system requirements: Collaborate with product managers, data engineers, and other stakeholders to understand business needs and convert them into clear technical specifications.
• Design and document data processing pipelines: Specify functional and non-functional requirements for systems that ingest, validate, transform, store, and serve geospatial data.
• Ensure data quality and freshness: Define requirements and quality criteria for incoming data in collaboration with geo-analysts. Monitor consistency and completeness across systems.
• Support map tile generation and styling: Collaborate with stakeholders and engineers to define requirements for map styling rules, tile generation workflows, and integration of additional data layers
• Support routing systems: Define requirements for enhancing the road graph and integrating traffic data to support accurate, real-time route calculation.
• Support geosearch: Specify indexing and query requirements to ensure fast and relevant address and place search.
• Act as a bridge between tech and product: Explain complex system behaviors to non-technical stakeholders and ensure alignment on project goals and technical feasibility.
• Ensure documentation and traceability: Maintain high-quality documentation for all pipelines, system components, and data interfaces. Track change requests and manage scope.
  

Qualifications

• Experience: 3+ years as a system analyst, business analyst, or technical product owner — preferably in geospatial data, GIS, or location-based services.
• Pipeline & systems thinking: Experience in decomposing data processing flows and designing interactions between microservices, data stores, and APIs.
• Analytical skills: Solid SQL skills and comfort working with large geospatial datasets. Ability to interpret metrics related to coverage, accuracy, update frequency, and performance.
• Technical literacy: Ability to understand architecture diagrams, APIs, and trade-offs between batch and real-time processing. Experience working with versioned datasets and data validation pipelines is a plus.
• Communication: Strong writing and communication skills for drafting clear requirement documents, specifications, and system diagrams. Comfortable aligning perspectives across technical and non-technical roles.
• Collaboration mindset: Proven track record of working effectively with engineers, data analysts, and product stakeholders. Bonus: experience interacting with external data providers or open data communities.
• Geospatial systems knowledge: Understanding of how geodata is collected, matched, processed, stored, and used in map-centric applications is a strong plus.

Conditions & Benefits

• Stable salary, official employment;
• Health insurance;
• Hybrid work mode and flexile schedule;
• Relocation package offered for candidates from other regions;
• Access to professional counseling services including psychological, financial, and legal support;
• Discount club membership;
• Diverse internal training programs;
• Partially or fully payed additional training courses;
• All necessary work equipment.