BI Specialist at Kuda

Role overview

• We’re looking for a passionate Business Intelligence (BI) Specialist that can help us unify our data to deliver high-precision analytics to our data-driven organization, delivering insights to impact.
• As a member of our professional data team, you must be able to transform data into action and deliver data insight that is fast, real and memorable to our stakeholders, unlocking the power of data as insight into impact. You must be enthusiastic to communicate findings and insight across multiple business levels.
• If you see (eat, sleep and dream) data in everything you do, your passion is more of an obsession, and you have acquired the taste of data, you might be the right candidate to join our team of data professionals, and we would love to hear from you.

Roles and Responsibilities:

• Develop and maintain BI solutions, including data models, pipelines, reporting and analytics tooling.
• Works closely with stakeholders to understand business requirements and design solutions to meet those needs.
• Monitors and optimizes BI solutions to ensure performance and scalability proactively.
• Collaborates with other department teams to ensure an integrated BI solution throughout the organization, delivering a data-driven culture.
• Provide training and technical support on BI tooling to analytical stakeholders and technical team members.
• Innovate with the latest BI technologies and trends - recommending new approaches and technologies to solve everyday opportunities.
• Conduct data quality checks and implement measures /KPIs/models to ensure data accuracy and completeness.
• Identifying opportunities for process improvement and optimisation based on data insight.

Requirements

• 4-5 Years of experience in Business Intelligence and Data Analytics, focusing on business data modelling.
• 3-5 Years of experience using SQL to build data insights.
• Strong data visualization skills using tools like Looker, PowerBI, QlikView, or Tableau (Any analytical platform is an advantage)
• Prior experience in designing and implementing performance measures to track business or product KPIs.
• Fundamental knowledge of data patterns and dataset analysis that contributes to opportunities for business process improvement.
• Flair for conceptual designs, data modelling skills and techniques.
• Strong written and verbal communication skills
• Knowledgeable on data management concepts, e.g., Data Governance and data protection and privacy laws, like GDPR
• A degree in the information technology field (e.g., Statistics, Economics, Math, Science, Engineering)
• Exposure to cloud-based technologies and modern data development tooling, e.g., Azure (Synapse), AWS (Athena / Redshift) and Google (BigQuery)