$ cat jobs/data-analyst-french-speaker-bpce-si-natixisinportugal-0c5eff712de5.json
Data Analyst (French Speaker) | BPCE-SI
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. Natixis is looking for a versatile professional who is comfortable both "talking to the business" and "getting their hands dirty in the data pipeline." You will be responsible for understanding business data structures, writing clear technical specifications for Data Engineers, designing reporting solutions in Power BI, and actively participating in the development of our ETL flows. As a Data Analyst / Data Engineer in our team, you will bridge the gap between business needs, data analysis, and technical data engineering. If you have a strong analytical mindset, a love for data modeling, and hands-on experience with ETL tools, this role is for you. Key Responsibilities Business Requirements & Specifications: Collaborate with business stakeholders to understand their needs and translate them into clear data models and technical specifications for the Data Engineering team. Data Modeling & Architecture: Design, structure, and maintain robust data models (star schemas, snowflake schemas) optimized for a
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