Our company strives to drive meaningful change through the effective use of technology. We harness our engineering expertise, combined with a people-centric approach, to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. The data discipline is key in transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling. As a Senior Data Analyst, you will be responsible for extracting meaningful information from large pools of data, gathering data, analyzing market trends, identifying client requirements, and making data-driven decisions for organizational success. Responsibilities: - Plan and conduct data discovery phases. - Discover and elicit business and data requirements, reviewing BI architecture. - Assist the Product Owner in iteration/release planning and prioritization of the backlog. - Apply Big Data, DWH, and Data Lake concepts to support specific business functions or processes. - Analyze data sources, documenting requirements in artifacts such as data flow diagrams, entity relationship diagrams, and user stories. - Identify data quality and consistency issues, proposing solutions. - Design functional solutions, translating business requirements into functional descriptions, defining conceptual and logical data models. - Define data ingestion, validation, cleaning, processing, and ETL requirements. - Apply required data modeling and analysis tools, methods, and standards, like data dictionary, data lineage, source to target mapping. - Bridge the gap between business-related matters and technical implementation, refining and clarifying requirements. Qualifications: - Demonstrated experience in storytelling with data. - Proficient in visualization tools like Looker Studio, Power BI, Tableau or similar. - Proficient in SDLC (Planned Iterative, Agile). - Experience working with modern data stacks (e.g., Databricks, ADF, Event Hub). - Solid understanding of SQL. - Solid understanding of programming languages. - Solid knowledge of big data technologies. - Solid experience in large international projects working with multicultural teams. - Well-versed in AWS services. - Excellent spoken and written English language skills. Benefits: - Competitive salary package. - Share plan. - Referral bonus. - Career development opportunities. - Global career opportunities. - Non-linear career paths. - - Learning opportunities. - Complex projects. - Rotations. - Internal tech communities. - Training. - Certifications. - Coaching. - Online learning platforms subscriptions. - Pass-it-on sessions. - Workshops. - Conferences. - Hybrid work and flexible working hours. - Employee assistance program. - Global internal wellbeing program. - Access to wellbeing apps. Inclusive Environment: We strive to create an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives.