Description

Data Analyst with over 5 years of experience turning messy, disconnected data into decisions people actually act on — across banking, retail, and telecom. I work end-to-end: SQL and Python for data extraction and pipelines, Power BI and Tableau for reporting that non-technical stakeholders genuinely use, and process automation to remove manual work wherever it's safe to. I care about getting the business need right before writing a single line of code — the best technical solution is worthless if it solves the wrong problem. Comfortable working directly with business teams to translate vague requests into scoped, validated deliverables, and equally comfortable in the weeds of query optimization and pipeline design.

Industry field of expertise

Languages

English
Fluent
French
Native or bilingual
Spanish
Fluent
Italian
Native or bilingual
Dutch
Conversational

Workplace preferences

Remote only

Primarily works remotely

Groupe Savencia - Internal Bank
Business and Technical Analyst
January 2024 - Today (2 years and 7 months)
Belgium
• • Conduct business process analysis to identify optimization opportunities
• • Perform in-depth technical analysis to support data-driven decision-making
• • Translate complex data into easily understandable insights for non-technical stakeholders
• • Develop and maintain interactive dashboards to track KPIs and business performance
• • Lead cross-functional collaboration to improve data workflows
• • Learning and integrating cloud-based data solutions, with a focus on Azure technologies
• • Automate repetitive processes to improve efficiency and scalability
• • Refactor and optimize existing scripts to enhance maintainability and performance
SQL Python Microsoft Power BI Ubuntu Microsoft Azure
S3K S.P.A
Data Analyst
April 2022 - September 2023 (1 year and 5 months)
Italy
Stack: KNIME, PostgreSQL, Python, Tableau, Power BI, AWS, Talend, Command Line, Jira, Confluence Sectors : Marketing, Retails
• • Management of the KNIME Server and data pipelines
• • Extracted and transformed data from multiple sources, ensuring data integrity
• • Developed statistical models and visual reports for executive decision-making
• • Applied predictive analytics to uncover actionable business insights
• • Implemented automation scripts to streamline data transformation tasks
• • Development of succinct and visually impactful reports tailored for executive leadership, adeptly conveying pertinent data-driven trends, patterns, and predictive insights
SQL Python KNIME Microsoft Power BI Tableau software
Softlab
Data Analyst
August 2021 - March 2022 (7 months)
Italy
Stack: SAS Guide, PROC SQL, MicroStrategy, Excel, Access, SAP (extractions)
Sectors : Telco, Customer credit
• • Developed data-driven solutions for database structuring and reorganization
• • Conducted data analysis to evaluate quality, completeness, and trends
• • Designed reports and dashboards for senior management decision-making
• • Assisted in transitioning legacy datasets to cloud-based data platforms
SAS SQL Microsoft Access Microsoft Excel Database administration