Ajax Systems is a global technology company and the leading developer and manufacturer of Ajax security systems with smart home capabilities in Europe. It encompasses a comprehensive ecosystem featuring 135 devices, mobile and desktop applications, and a robust server infrastructure. Each year, we experience substantial growth in both our workforce and our user base worldwide. Currently, the company employs over 3,300 individuals, while Ajax sensors safeguard 2.5 million users across more than 187 countries. Role Summary: The System Analyst will play a key role in bridging data engineering and solution design, ensuring consistency, efficiency, and scalability across data architecture and technical implementations. Positioned closer to the engineering side, this role will support the Lead Data Platform Engineer, Data Engineer, Data Analyst, and BI Lead by analyzing business needs and translating them into optimal technical solutions. This role involves light data engineering tasks, maintaining a comprehensive awareness of data architecture, data flows, and data platform functionality. The System Analyst will ensure solutions are designed efficiently in terms of development effort, resource utilization, and long-term maintainability. Over time, this position may offer a growth path into a Data Engineer role or a Data Architect role. Key Responsibilities:

1) Technical Solution Analysis & Design

Work closely with Data Engineers, BI Lead, and Data Analysts to understand business needs and translate them into technical solutions.

Ensure data architecture consistency, aligning solutions with best practices in corporate cloud Data Platforms

Propose optimal data pipelines, data models, and integration patterns, balancing performance, cost, and maintainability.

Define functional and non-functional requirements, ensuring solutions meet business and technical objectives.

2) Data Architecture & Governance

Maintain a deep understanding of data flows, dependencies, and platform functionalities across the enterprise data ecosystem.

Assist in designing logical and physical data models to ensure data consistency, reusability, and performance.

Support the enforcement of data governance, security, and compliance policies across corporate cloud Data Platforms.

3) Light Data Engineering & Prototyping

Develop and optimize simple data transformations, SQL queries, and pipeline configurations.

Perform basic scripting and automation tasks to support engineering efforts.

Contribute to data validation, profiling, and performance tuning initiatives.

4) Solution Efficiency & Cost Optimization

Assess the resource requirements (compute, storage, processing) of proposed solutions and recommend optimizations.

Support the Lead Data Platform Engineer in identifying bottlenecks, inefficiencies, and improvement areas.

Ensure solutions minimize technical debt and align with long-term data architecture strategy.

5) Documentation & Collaboration

Document data flows, solution designs, and integration points for transparency and maintainability.

Work closely with business teams to clarify requirements while ensuring technical feasibility.

Act as an intermediary between data engineers, data analysts and BI engineers, ensuring alignment on data definitions, transformations, and reporting logic.

Key Requirements:

3+ years of experience in data analysis, system analysis, or data engineering support roles.

Strong SQL skills, with experience in data modeling and query optimization.

Familiarity with cloud data platforms (Databricks, Google BigQuery, Azure Synapse, Snowflake, etc).

Understanding of data pipeline orchestration, ETL/ELT processes, and integration frameworks.

Exposure to SAP Data Sphere, SAP S4HANA, or enterprise data platforms (even at a conceptual level) will be a plus

Basic experience in Python or Spark (preferred but not mandatory).

Strong analytical thinking with a structured approach to problem-solving and optimization.

Experience in documenting solutions using ERD (Entity-Relationship Diagrams), DFD (Data Flow Diagrams), Sequence Diagrams, Flowcharts & Swimlane diagrams and other relevant modeling techniques to ensure clarity and maintainability.

Ability to collaborate effectively with engineers, analysts, and business stakeholders, acting as an intermediary between technical and business teams.

Strategic Impact & Career Growth

This role is instrumental in optimizing data solutions, ensuring technical efficiency, and bridging the gap between engineering and analytics. With time, the System Analyst can transition into a full Data Engineer role/Data Architect role, taking on more complex development and architecture responsibilities while maintaining a strong foundation in solution design and efficiency.