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 teams 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:

Bachelors or masters 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: Bachelors or Masters degree in Computer Science, Engineering or Finance (or

equivalent).