Data Analyst driving impactful BI solutions for clients at Keyrus in Bordeaux. Managing ETL processes, developing dashboards, and supporting reporting systems with an agile team.
Responsibilities
ETL pipeline development: Design and optimize robust data pipelines.
Creation of interactive dashboards and KPI implementation: Make data understandable and actionable for our clients.
Reporting support & maintenance: Ensure effective management of data flows and ongoing monitoring of reporting systems.
Project management: Actively participate in project management with autonomy while maintaining clear communication with business teams.
Agile methodology: Work with teams in an agile environment, continuously seeking improvement.
Technology watch & certifications: You will be encouraged to stay at the cutting edge of technology and to expand your skills.
Mentoring juniors: Share your expertise and help develop tomorrow’s talent.
Requirements
BI experience: You have at least 4 years of experience (excluding internships/apprenticeships) using ETL tools (Talend, Informatica, etc.) and data visualization tools (Qlik Sense, Power BI, Tableau, etc.).
Technical and analytical skills: You take a structured, methodical approach to BI challenges and can turn complex data into clear, actionable insights.
Curious mindset: You are constantly seeking new trends, tools, and methodologies to improve your practices and take on new challenges.
Versatile and communicative: You are comfortable interacting with business teams, understanding their needs, and responding with effective BI solutions.
Commitment and team spirit: You want to be involved in a collaborative, dynamic environment with many stimulating challenges.
Benefits
A passionate team: Join a community of BI experts who share your passion for data and digital transformation.
Innovative projects: You will have the opportunity to work on diverse client projects, from startups to large enterprises, with ambitious digital transformation objectives.
Continuous development: Our company culture is committed to supporting every employee’s skills growth with regular training, certifications, and ongoing technology watch.
International exposure and mobility: If you want to explore new horizons, you can benefit from our international network for assignments abroad.
Diversity and inclusion: We pride ourselves on an inclusive culture where everyone finds their place, regardless of background, origin, or personal circumstances.
A curiosity-driven environment: Your creativity and innovative ideas are always encouraged here.
Junior Data Analyst managing data processing and financial reporting at C&A. Collaborating on improvements and automating repetitive tasks in a dynamic retail environment.
Marketing Analytics Manager at Svea Solar, delivering data - driven insights and recommendations for marketing and commercial strategy. Collaborating closely with CMO and leading analysis on marketing performance.
UX/UI Junior focusing on Data Analytics at NEORIS, creating wireframes and collaborating with teams. Seeking innovative individuals invested in personal and professional growth.
Energy Analyst managing sustainability data and financial reports for clients in Australia. Engaging with stakeholders to support net zero goals and energy optimization.
Sr. Investment Data Analyst responsible for financial insights and automating database architecture for Globe Life’s diverse investment portfolio. Supporting a multi - asset portfolio to modernize analytical and reporting capabilities.
Senior Data Analyst at Preply driving insights for business growth and operational efficiency. Collaborating with cross - functional teams to enhance retention and revenue metrics.
Senior Data Analyst analyzing marketplace performance and driving insights to improve retention and revenue at Preply, an education technology company.
Data Analyst at Preply responsible for driving data strategy and analytical initiatives for business growth. Collaborating with teams to influence key business decisions and optimize product metrics.
Analyst for agricultural data at MTP, ensuring quality and consistency in data through annotation and classification. Utilize digital tools to support agricultural image analysis and label data accurately.