Key Responsibilities:

• Design and Develop Visualizations: Create advanced, interactive dashboards and reports in Power BI that enable stakeholders to explore data, uncover trends, and make informed decisions.
• Data Integration and Modelling: Connect disparate data sources, model data efficiently, and implement ETL (Extract, Transform, Load) processes using SQL and AWS services.
• Cloud-Based Data Solutions: Utilize AWS services (such as Redshift, S3, RDS, Lambda, and Glue) for scalable data storage, processing, and deployment of visualization solutions.
• Performance Optimization: Optimize dashboards and queries for speed, reliability, and scalability, ensuring a seamless user experience across teams and functions.
• Collaboration: Work closely with business analysts, data engineers, and stakeholders to gather requirements, iterate on designs, and deliver solutions that meet evolving business objectives.
• Agile & Scrum Practices: Participate in Agile and Scrum ceremonies including sprint planning, stand-ups, retrospectives, and reviews. Contribute to sprint goals and collaborate in cross-functional teams.
• Documentation and Training: Maintain clear documentation of data models, visualisations, and processes. Train end-users and internal teams on dashboard use and best practices.
• Quality Assurance: Conduct rigorous testing and validation of visualizations, ensuring data accuracy and integrity at all stages.
• Continuous Improvement: Stay abreast of the latest visualization trends, Power BI features, AWS advancements, and data management methodologies
• Proactively propose enhancements to existing solutions.
• Security and Compliance: Ensure all visualization solutions adhere to company data governance policies, security protocols, and relevant compliance standards.

Required Skills & Qualifications

• Proficiency in Power BI: Demonstrated experience designing and developing complex dashboards, custom visuals, DAX queries, and Power BI service deployment.
• AWS Expertise: Hands-on experience with AWS data services such as Redshift, S3, RDS, Lambda, and Glue. Ability to integrate AWS cloud data sources with visualization tools.
• Strong SQL Skills: Advanced SQL capabilities for data extraction, transformation, and modelling. Familiarity with various relational databases.
• Agile & Scrum Experience: Proven track record working in Agile environments, participating in Scrum teams, and delivering iterative value in sprints.
• Data Modelling: Experience with designing and implementing data models that facilitate efficient reporting and analysis.
• Analytical Mindset: Ability to analyse business requirements, translate them into technical specifications, and deliver actionable insights.
• Communication: Excellent written and verbal communication skills, with a talent for explaining complex concepts to non-technical stakeholders.
• Problem Solving: A resourceful approach to troubleshooting data, visualization or performance issues.
• Attention to Detail: Strong commitment to data accuracy, quality assurance, and documentation.
• Continuous Learner: Eagerness to learn about new technologies, visualization techniques, and industry best practices.

Preferred Qualifications

• Bachelors or master’s degree in computer science, Information Systems, Data Science, or related field.
• Professional certifications in Power BI, AWS, or Agile/Scrum methodologies.
• Experience with other visualization tools (such as Tableau, QlikView, or Looker) is a plus.
• Exposure to Python or R for data analysis and integration.
• Experience working with APIs to source and integrate data.
• Familiarity with CI/CD pipelines for data and visualization products.
• Knowledge of data governance, privacy regulations, and compliance standards