KEY RESPONSIBILITIES
• Design, develop and implement datasets, models, as well as support to interpret and present statistical outcomes to support the organization’s operations and execution of key business strategies
• Design and conceptualize solutions that address the organization’s challenges through use of data management and governance of large amount of data
• Implement solutions using the Power Platform stack, build data pipelines and functions for visualization and business analytics supporting the business and respective product owners • Knowledge of ETL and OLAP to support and contribute to database implementation and systems, devising strategies to promote continuous improvement
• Devise methods and strategies to obtain and extract data to derive business insights
• Deliver accurate regular and ad-hoc performance tracking and analysis to drive traffic, transactions and processes
• Ad-hoc analysis based on strategic direction of the business and deep dive into specific area/trend
• Make data management recommendations based on data and industrial practices
• Assist in business case and pricing initiatives as required
KEY REQUIREMENTS
• Degree holder in Business Analytics, Information Technology, Data Science or Computer Science with at least 8 years in data analyst and/or data science roles
• Understanding of and experience using data visualization concepts, techniques and tools, such as Microsoft Power BI
• Experience in developing data solutions based on established patterns and best practices for database integration with Power Platform stack (Power BI, Power Apps, Power Automate, Power Query)
• Working knowledge of data mining principles: mapping, collecting data from multiple data systems on premises and cloud-based data sources
• In-depth understanding of and experience in designing structured and unstructured, SQL and NoSQL data repositories
• Experience working with, creating and maintaining databases and repositories using state-of the-art data backup, rollback and version control solutions
• Proficient with data processing methods and technologies / tools such as ETL, R and/or Python. Azure Cloud proficiency will be an advantage
• Highly motivated, structured and methodical with high degree of initiative
• Strong problem solving, quantitative and analytical abilities
• Excellent written and oral communication skills
• Able to work independently or cross functionally