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Key Responsibilities- Data Discovery and Analysis: Plan and conduct data discovery phases to uncover insights and trends in market data.
- Business Requirements Elicitation: Discover and elicit business and data requirements, and review the Business Intelligence architecture.
- Collaboration and Prioritization: Assist the Product Owner in iteration and release planning, and prioritize the backlog.
- Big Data and Data Lake Expertise: Apply Big Data, Data Warehouse, and Data Lake concepts to support specific business functions or processes.
- Data Quality and Consistency: Identify data quality and consistency issues and propose solutions.
- Functional Solution Design: Design the functional solution, translate business requirements into functional descriptions, and define the conceptual and logical data model.
- Data Ingestion and Processing: Define data ingestion, validation, cleaning, processing, and ETL requirements.
- Data Modeling and Analysis: Apply required data modeling and analysis tools, methods, and standards, such as data dictionary, data lineage, and source-to-target mapping.
- Requirements Refinement: Bridge the gap between business-related matters and their technical implementation through refinement and clarification of requirements.
- Storytelling with Data: Demonstrated experience in effectively communicating data insights to stakeholders.
- Business Intelligence Tools: Proficient in Power BI and other Business Intelligence tools.
- Software Development Life Cycle: Proficient in SDLC (Planned Iterative, Agile) methodologies.
- Communication Skills: Excellent spoken and written English language skills.
- Programming Languages: Solid understanding of programming languages.
- Big Data Technologies: Solid knowledge of big data technologies.
- International Project Experience: Solid experience in large international projects working with multicultural teams.
- AWS Services: Well-versed in AWS services.
- Competitive Salary and Benefits: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, and referral bonus.
- Career Development Opportunities: Career coaching, global career opportunities, non-linear career paths, and internal development programs for management and technical leadership.
- Learning and Development: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, and conferences.
- Work-Life Balance: Hybrid work and flexible working hours, employee assistance program.
- Health and Wellbeing: Global internal wellbeing program, access to wellbeing apps.
- Community and Inclusion: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programs, events, and celebrations.
