Data Analyst - Data Analyst L3 (5.1-7 years)

Job Description

The Role Is Responsible For Delivering Data Analysis And Establishing Automated Reporting, Controls And Monitoring For The BROKK team On Both Ad‑hoc And Scheduled Bases, Leveraging a Suite Of Analytical Tools And SQL.

The BROKK team Is Part Of GM IT And Addresses Tariff, Invoice And Fee‑data Control & Monitoring Across Four Pillars:

• Data/Business Analysis: Perform and document analysis, review and study of tariff, invoice and fee data; understand business changes, assess impact and cost.
• Data Visualization: Provide dashboards that present tariff usage, invoice acquisition status and fee‑taxonomy in an appealing, user‑friendly way.
• Data Mining: Extract patterns and knowledge from large volumes of data stored in the BROKK database (tariffs, providers) to answer investigations or control needs.
• Data Science: Apply scientific methods to relational data to automate processes & controls (e.g., automatic validation of rate‑card documents, auto‑acquisition of invoices).

Responsibilities

• Set up automated controls for document storage, tariff validation, invoice acquisition and accounting based on user requirements.
• Act as specialist in one or more areas – tariff management, e‑invoicing, fee‑taxonomy reporting.
• Manage workload – prioritize and organize tasks, recognize urgency and deliver on time.
• Analyze and solve problems – proactively identify missing rate cards, mismatched fee taxonomy or invoice gaps and implement solutions.
• Communicate clearly to both technical and non‑technical audiences; deliver high‑quality presentations.

• Prioritize tasks while maintaining a balance of technical and functional knowledge.
• Contribute to the team’s agile way of working.
• Collaborate closely with developers, helping them understand concepts to achieve targets.
• Suggest and implement optimized solutions.
• Suggest and implement optimized solutions.

• Strong grasp of relational databases; proficient in SQL.
• Experience in data mining, analysis and basic ETL processes.
• Curious, analytical and eager to learn.
• Excellent communication skills, both written and verbal.
• Quality‑focused with strong attention to detail.
• Ability to thrive under pressure and manage stress effectively.
• Comfortable working with distributed teams and sharing knowledge.
• True team player with creativity and a problem‑solving mindset.

Specific Qualifications:

• Bachelor’s or master’s degree in engineering (Computer Science) and/or Financial Markets.
• Advanced knowledge of SQL, with hands‑on experience in Oracle environments.
• Functional knowledge of financial products and regulatory frameworks (EMIR, MiFID, CFTC, …).
• Proficiency with visualization tools such as Microsoft Power BI or Oracle Apex.
• Ability to produce clear technical and functional specifications.
• Knowledge of Python and Elastic Search.
• Experience with machine‑learning or AI techniques is a plus.
• Autonomous, rigorous, collaborative and able to manage stress.

Minimum 5 years of IT experience, with proven expertise in Data Analyst role.

Technical Skills:

Skills Referential (Required knowledge, skills and abilities)

• Knowledge of financial products and fee‑taxonomy
• SQL
• Data visualization (Power BI, Oracle Apex)
• ETL concepts and tools
• Basic machine‑learning / AI concepts
• Knowledge of financial products and fee‑taxonomy

Behavioral Skills:

• Clear communication (technical & non‑technical)
• Analytical problem solving
• Strong quality focus and attention to detail
• Teamwork & collaboration
• Agile mindset and adaptability
• Stress management and resilience

Bachelor’s or Master’s degree in Computer Science, Engineering or Finance (or equivalent).