Senior Data Analyst

Team presentation and main goal:

Join the Data Sourcing Accounting Data team within the Financial Data Integrity (FDI) division at Natixis as part of the Finance Direction dedicated to upholding the integrity and accuracy of financial data across CIB activities (balance sheet and offbalance sheet). Our team is split between Paris and Porto part of a department of around 150 professionals and is on the frontline of labelling financial data for both balance sheet and offbalance sheet activities.

Data Sourcing is split between Paris and Porto and youll be an integral part of a 10member team.

You will be part of an integral part of a 10member bilocalised team with a local manager and a functional manager based in Paris.

As a Data Analyst for of a major French banking institution with international dimension you will:  

• Support Data quality initiatives to meet both internal standards and regulatory requirements with a particular focus on ensuring the accuracy completeness and reliability of Critical Data Elements (CDEs). These efforts are crucial for enhancing the integrity of financial reporting and analysis across the institution.
• Engaging in comprehensive data monitoring activities for Corporate and Investment Banking (CIB) sectors including Financing and Global Markets. Your analysis will support datadriven decisionmaking and operational excellence in these key areas.

You will be in contact with the Operations department (middle and back offices) the other teams of FDI & the internal Finance partners and Finance IT teams.

Functions: 

Monitoring and analysing data at the granular level to ensure the quality of the data required for all financial reporting or indicators (ALM Solvency Liquidity FINREP): 

• Set up meetings with final internal partners to do a postmortem of quarterly closing; 
• Study and propose new controls to be implemented or to evolve existing controls (especially completeness existence accuracy consistency or freshness controls):  

• Analyze the needs of the final internal partners; 
• Perform database queries to study the relevance of results; 
• Test and launch in production new controls. 

• Controlling the data acquisition & treatment on the financial chain inputs along the flow; 

• Detecting anomalies & analyzing the root causes; 
• Reporting and alerting the management and the internal partners (accounting and ratio teams); 
• Defining remedial short and long term actions; 
• Writing and updating of operational procedures; 
• Support the data sourcing activities. 

As a Data Analyst you will be integral in ensuring the quality and integrity of data across all levels crucial for financial reporting and compliance with indicators such as ALM Solvency Liquidity and FINREP. Your responsibilities include:

• PostMortem Meetings: Organize debrief sessions with key internal stakeholders after quarterly closings to review outcomes and identify improvement areas:
• Control Evolution and Implementation:

• Collaborate with internal partners to understand their data requirements and challenges;
• Conduct database queries to assess the relevance of data and identify gaps particularly focusing on Critical Data Elements (CDEs) to ensure their accuracy and completeness;
•  Develop test and deploy new controls or refine existing ones to enhance data completeness existence accuracy consistency and timeliness;

• Data Acquisition & Treatment: Oversee the data collection and processing stages within the financial chain ensuring smooth and errorfree data flow.
• Anomaly Detection: Proactively identify data discrepancies delve into their root causes and communicate findings with relevant teams emphasizing the importance of managing CDEs effectively;
• Communication: Report findings anomalies and recommendations to management and internal partners (accounting and ratio teams) fostering a culture of transparency and continuous improvement;
• Action Planning: Develop both immediate and longterm remediation plans to address identified issues ensuring the robustness of financial data;
• Operational Documentation: Regularly review and update operational procedures to reflect current best practices and data management strategies;
• Data Sourcing Support: Play a key role in assisting the Data Sourcing teams by:

• Implementing automation strategies to streamline data retrieval and analysis processes.
• Enhancing the efficiency and reliability of data sourcing activities ensuring highquality data is available for decisionmaking and reporting.

Additional information:

• You will be part of a bilocalised team with a local manager and a functional manager Paris based with regular interactions Paris team;
• The ability to develop a network within the various teams of the Natixis ecosystem and an aptitude for collaborative and group work are key factors of success in this position.

Qualifications :

• Strong Background/Education in a quantitative discipline with a professional experience as a Data or Business Analyst preferably in the finance department of a mid / large cap company or audit;
• Data or Business Analyst (notions);
• Financial Products (advanced knowledge);
• Data Viz & Data Prep Tools (Power BI Tableau Quicksight Google Analytics ...) (advanced knowledge);
• Python (advanced knowledge);
• SQL (advanced knowledge);
• Microsoft Office (Excel VBA PowerPoint) (advanced knowledge);
• Project Management (advanced knowledge);
• Other Programming Languages (notions);
• Fluent English and Good Level of French (a big plus).

Soft Skills:

• Rigor and accuracy;
• Ability to analyse summarise and report;
• Critical thinking flexible and problem solving;
• Personal commitment and team spirit;
• Autonomy curiosity and willingness to move the issues forward. 

Additional Information :

At Natixis we are committed to fostering a working environment where each and every one of our people is treated with dignity and respect and where every voice is heard. Our differences make us collectively stronger and are a source of fulfilment innovation and performance.

In the framework of its Diversity Equity & Inclusion policy Natixis in Portugal has implemented a Blind CV Screening process with the purpose of reducing hiring bias. A blind CV excludes any personal details which refer to the applicants gender age or ethnicity. When applying for our positions please submit a blind CV that is with no picture name gender age nationality ethnicity and address. Your personal statement work experience courses and certifications education skills and contact information is what matters to us.

#MuchMoreThanJustAJob

Early morning. Campo 24 de Agosto. In 4 minutes you are clocking in at the office. Start your day having breakfast with the Team and grab fresh fruit on the way to your seat in one of Portos most typical neighborhoods. This Purple Day is going to be a busy one: daily meeting ensuring all team members are on the same page regarding work status priorities and blockers language class and just after a Talent Management meeting with your manager discussing your career path. 

 Lunch break. Today your Team is onboarding newcomers but also welcoming French colleagues: the perfect excuse to walk downtown and bond over a francesinha. When returning inhale nature and peace of mind in Natixis Urban Garden (look at the crops; ready to harvest!). 

 Back inside. Brainstorming session on a new exciting project in our disruptive and immersive Manaus Village. The afternoon went flying (tasks meetings some jokes with your teammates). End it on a high note: celebrating cultural diversity with a Diwali the Indian festival of lights. 

 Tomorrow you attend a conference led by influential speakers in your industry and the day after you will work from home benefitting from some focus time to complete that report and soft skills course on LinkedIn Learning. Once you are done with your work for the day strike the right note playing with Natixis band or be part of a board games session. If that is too steady for you meet your colleagues to catch some waves or sail the Douro river during golden hour. 

Remote Work :

No

Employment Type :

Fulltime