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).