Job Overview "> We are seeking a Senior Data Analyst to join our team. This role involves extracting meaningful information from large data sets, gathering and analyzing trends, identifying client requirements, and making informed decisions. This is an exciting opportunity for individuals who enjoy working with data, driving insights, and collaborating with cross-functional teams. Key Responsibilities "> - Data Discovery: Plan and conduct data discovery phases to identify business and data requirements. - Requirements Elicitation: Discover and elicit business and data requirements and review BI architecture. - Collaboration: Assist the Product Owner in iteration/release planning and prioritization of the backlog. - Big Data Concepts: Apply Big Data, DWH, and Data Lake concepts to support specific business functions or processes. - Data Analysis: Analyze data sources and document requirements in artifacts such as data flow diagrams, entity relationship diagrams, and user stories. - Data Quality: Identify data quality and data consistency issues and propose solutions. Qualifications "> - Data Storytelling: Demonstrate experience in storytelling with data. - Visualization Tools: Proficient in visualization tools like Looker Studio, Power BI, Tableau or similar. - Agile Methodology: Proficient in SDLC (Planned Iterative, Agile). - Modern Data Stacks: Experience working with modern data stacks (e.g., Databricks, ADF, Event Hub). - Programming Languages: Solid understanding of programming languages. - Big Data Technologies: Solid knowledge of big data technologies. - Cross-Functional Teamwork: Solid experience in large international projects working with multicultural teams. Benefits "> - Competitive Compensation: Competitive salary package, referral bonus. - Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership. - Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences. - Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme. - Global Benefits: Global internal wellbeing programme, access to wellbeing apps. About Us "> We value diversity, equity, and inclusion. We welcome applications from people of all backgrounds, experiences, and perspectives. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.