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BNP Paribas Wealth Management is seeking a Senior Data Analyst to transform complex financial datasets into actionable intelligence for portfolio managers, relationship bankers and senior leaders. You will build scalable pipelines on Dataiku, craft executive dashboards in Power BI, and collaborate with stakeholders to interpret the story behind the numbers.
In this role you will oversee data quality, governance and compliance, mentor junior analysts, and contribute to analytics tooling and
We are seeking sharp and intellectually curious Senior Data Analyst to join our Wealth Management division. In this role, you will transform complex financial datasets into clear, actionable intelligence that empowers portfolio managers, relationship bankers and senior leadership to make better decisions for clients across the globe. You will be the core of data strategy – building scalable pipelines on Dataiku, crafting executive-grade dashboards in Power BI, and collaborating with various stakeholders to interpret the story behind the numbers
Design, develop, and maintain end-to-end data workflows using Dataiku, covering data ingestion, transformation, and model deployment across wealth portfolios Build and own a suite of Power BI dashboards and reports that deliver real-time Assets Under Management (AUM), performance, and risk insights to senior stakeholders Collaborate with relationship managers and investment advisors to translate business questions into analytical frameworks and measurable Key Performance Indicators (KPIs) Ensure data quality, governance and compliance standards are upheld across all wealth data assets Champion a data driven culture by mentoring junior data analysts and contributing to best practices documentation and internal training Support regulatory and audit reporting requirements by maintaining traceable, well documented pipelines and data lineage records Contribute to the continuous improvement of our analytics infrastructure, evaluating emerging tools and proposing enhancements aligned with business strategy at Wealth Management head office level
Bachelor’s or master’s degree in finance, Information Technology, Statistics, Mathematics or a related discipline Minimum of 5 years’ experience in data analytics, preferably within the banking or financial services sector Proficiency in Data visualization tools (Power BI or Tableau), Data Modelling Proficiency in Dataiku or Alteryx or SAS or Domino or programming in Python, SQL, among others Fluency in English Adaptability, autonomy, proactivity, organized with the ability to multi-tasks Result-driven, constantly looking for ways to improve your performance Ability to collaborate/Teamwork in a collaborative / transversal way Ability to share and to communicate with different stakeholders (Information Technology (IT)/Non-IT)
Within this framework, eligible employees can benefit from flexible remote working options adapted to our hybrid working environment. To ensure a comfortable and efficient working setup, eligible employees are provided with both office and home equipment, are entitled to an equipment allowance and can benefit from exclusive partnerships to purchase additional items at reduced prices. Supporting employees in a hybrid way of working while providing them with the means to maintain a work-life balance is an essential dimension of our Smart Working program. At BNP Paribas, we care about our employees’ wellbeing and promote a culture of good integration between work and personal life.