À propos de Victoria
Are you looking for a Data Analyst or Data Engineer who can transform fragmented, manual or unreliable data into structured, automated and actionable solutions?
I help companies collect, clean, transform and centralise their data so that teams can access reliable information, automate reporting and make better business decisions. I work across the full data lifecycle, from creating APIs and databases to building ETL/ELT pipelines, validating data quality, creating analytical datasets and delivering clear dashboards and performance insights.
What differentiates me is my ability to combine data engineering, analytics and business understanding. I do not only build technical workflows: I ensure that the data produced is accurate, well-structured and aligned with your operational, marketing, finance or product objectives.
As a former Business Intelligence Manager at WPP in New York, I worked on international data projects for clients such as DoorDash and Paramount Pictures, supporting media budgets of up to $120M. I automated more than 50 data extractions, improved data integration and quality-control processes, and contributed to reducing manual reporting time by up to 80%.
I regularly deliver automated data pipelines, API integrations, SQL data models, data-cleaning and reconciliation workflows, Python scripts, reporting datasets, KPI frameworks and Power BI or Tableau dashboards. I can also support database analysis, process documentation, requirements gathering, user stories, testing and UAT.
My technical stack includes SQL, Python, APIs, ETL/ELT, Power BI, Tableau, Excel, Alteryx, BigQuery, Snowflake, PostgreSQL, SQL Server, GCP, Azure and AWS.
You will receive reliable, documented and scalable deliverables designed to reduce manual work and make your data easier to use. I work fluently in English and French on one-off assignments, recurring reporting needs or longer-term data engineering and analytics projects.
Français
Bilingue ou natif
Anglais
Bilingue ou natif
Allemand
Capacité professionnelle limitée
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- WPPManager, Business Intelligence and Data EngineeringE-COMMERCEoctobre 2022 - août 2025 (2 ans et 10 mois)New York, NY, USALed data transformation, pipeline modernization, and analytics delivery initiatives for enterprise clients, combining technical execution with stakeholder advisory, process redesign, and data governance.• Designed scalable BI and data quality solutions using SQL, Python, Tableau, Alteryx, Power BI, Azure Data Factory, and cloud-based data infrastructure, supporting end-to-end data flows from source ingestion to executive reporting, reducing reporting time by 80%, and enabling leadership to make more data-driven decisions.• Served as the interface between client stakeholders, business users, data engineers, analytics teams, and platform owners to structure problems, define solution requirements, prioritize delivery, and drive adoption of data products, increasing product adoption by 100%.• Built automated QA frameworks, taxonomy mappings, API feeds, S3 data drops, transformation logic, and reporting outputs, reducing manual controls and improving trust in analytics deliverables.• Led root cause analysis on complex data discrepancies by tracing issues across source systems, ingestion pipelines, SQL transformations, mapping tables, and dashboard logic, improving incident resolution and reporting reliability; documented troubleshooting procedures and recurring issue patterns to accelerate resolution by 30%.• Created diagnostic dashboards and monitored workflows to detect anomalies, missing values, out-of-flight data, mapping fallouts, trend breaks, and data quality incidents.• Standardized KPI definitions, taxonomy structures, reporting logic, and governance processes across teams and markets, improving scalability and consistency of reporting outputs.• Managed Agile-style delivery through backlog prioritization, stakeholder workshops, requirement gathering, UAT coordination, issue tracking, and iterative enhancement of data products.
- GroupMSenior Associate, Business Intelligence and Data VisualizationCONSULTING AND AUDITSjuillet 2021 - octobre 2022 (1 an et 3 mois)New York, États-Unis• Supported cloud migration and data modernization efforts by testing data consistency, reconciling legacy and migrated datasets, documenting business rules, and coordinating technical remediation.• Selected to participate in a UI change review committee, assessing proposed interface updates against business requirements, user workflows, data accuracy, and reporting usability before implementation.• Developed SQL queries and validation checks to reconcile campaign data, taxonomy mappings, metadata feeds, and reporting outputs across source systems and internal databases.• Supported the launch of new client engagements by setting up BI reporting foundations, including data requirements, taxonomy structures, KPI definitions, dashboard specifications, QA checks, and stakeholder workflows.• Automated recurring reporting workflows and manual data preparation tasks, improving the scalability and reliability of weekly, monthly, and ad hoc analytics deliverables.• Prepared technical documentation covering data definitions, transformation logic, workflow steps, recurring checks, and reporting assumptions to improve handover and troubleshooting.• Created diagnostic dashboards and monitoring workflows to detect anomalies, missing values, out-of-flight data, mapping fallouts, trend breaks, and data quality incidents.• Translated business needs into technical requirements, data models, reporting specifications, validation rules, and analytics solutions across performance measurement use cases.
- Nomura BankIT Administratoraoût 2016 - septembre 2016 (1 mois)Howald, Hesperange, LuxembourgSupported IT operations in a financial services environment, providing technical assistance, troubleshooting, and user support across business teams.• Contributed to a legacy-to-Oracle system transition by supporting ETL processes and coordinating between business users and IT teams.• Delivered first-level IT support for hardware, software, network access, workstations, email, and productivity-tool issues in a banking environment.• Assisted with workstation configuration, user access coordination, and equipment setup.• Logged, documented, and escalated technical incidents, supporting structured troubleshooting and resolution follow-up.• Communicated technical guidance clearly to non-technical users, improving tool adoption and reducing support friction.
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Formations
- Master of BusinessMonroe College, King Graduate SchoolMaster of Business Administration with Finance Concentration
- Master of MathematicsHarrisburg University of Science And Technology2023Master of Science in Analytics – Computational Mathematics,