Data Analyst

Responsibilities Direct 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. Contributing Responsibilities • 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. Technical & Behavioral Competencies • 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. Experience Level: Minimum 5 years of IT experience, with proven expertise in Data Analyst role. Technical Skills: • 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 Education Level: Bachelor’s or Master’s degree in Computer Science, Engineering or Finance (or equivalent).