Data Analyst (French Speaker) | BPCE SI at Natixis in Portugal

, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

04 Jun, 26

Salary

0.0

Posted On

06 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Statistical Methods, Data Visualization, SQL, Tableau, Power BI, Excel, Data Integrity, Data Modeling, French Speaker

Industry

IT Services and IT Consulting

Description

Company Description Natixis in Portugal is a Centre of Expertise whose mission is to transform traditional banking by developing innovative solutions for the business, operations and work culture of Groupe BPCE worldwide. As part of Groupe BPCE’s international division, Natixis in Portugal designs and delivers solutions for its two core areas — Corporate & Investment Banking and Asset & Wealth Management — as well as transversal services that support all entities across the Group. With more than 3,000 employees representing 46 nationalities, the teams work across Information Technology, Banking Support Activities, and Compliance, in an integrated, inclusive, and cross-functional way, supporting all business lines and platforms of the Group. A disruptive mindset and a culture of proximity and agility identify Natixis in Portugal Team and reflect the company's mission to transform traditional banking at a global scale: a perfect match in the Portuguese dynamics and entrepreneurial ecosystem. Job Description Within the IT department of Natixis BPCESI (BPCE Solutions Informatiques), in Distribution et Data: We are seeking a detail-oriented and analytical Data Analyst to join our team. A strong background in data analysis, statistical methods, and data visualization is required. Work closely with various departments to gather data, analyze trends, and provide actionable insights to support business objectives. Main Responsibilities: Gather and clean data from various sources, including databases, spreadsheets, and external APIs; maintain and update databases to ensure data integrity and accessibility. Analyze large datasets to identify patterns, trends, and correlations, using statistical techniques to interpret data and generate actionable insights. Create comprehensive reports and dashboards to present findings to stakeholders and prepare visualizations using tools like Tableau, Power BI, or Excel. Work closely with cross-functional teams, including marketing, finance, and operations, to understand their data needs and provide support. Collaborate with data engineers and IT staff to improve data collection and processing methods. Provide recommendations based on data analysis to drive business strategies and improve performance; monitor key performance indicators (KPIs) and report on progress. Stay updated with industry trends and best practices in data analysis and visualization; identify opportunities for process improvements and implement solutions. Qualifications Hard Skills: Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as SQL, Experience with data visualization tools (e.g., Power BI). Familiarity with statistical methods and data modeling techniques is a plus. Must be french-speaker, at least C1. Soft Skills: Strong analytical skills and attention to detail. Excellent communication skills, with the ability to explain complex data concepts to non-technical stakeholders. We will only consider CVs in English. Additional Information Our workplace reflects the vibrant spirit of our locations, with initiatives such as a Green Transportation Budget, electric bikes and a flexible Hybrid Work Policy. We promote wellbeing through the Honolulu Wellness Club, a Prayer Room, a Lactation Room, and themed Villages that inspire creativity and collaboration. Through our ESG and DEI strategies, we are commited to being inclusive, caring, and fair, ensuring every voice is heard and valued.

Responsibilities

The Data Analyst will be responsible for gathering and cleaning data from various sources, analyzing large datasets to identify patterns and trends, and creating comprehensive reports and dashboards using tools like Tableau or Power BI. They will also collaborate with cross-functional teams to understand data needs and provide data-driven recommendations to improve business strategies.