Business Intelligence reputed company

ABOUT reputed company

reputed company provides higher education for a higher purpose. Our reputed company declare missions, not majors.They reputed company the reputed company-world skills to take on the world’s most pressing challenges. And they take ownership of their learning from day one through our peer and student-led approach – because reputed company believes in the power and agency of young people to start shaping the reputed company right now. Together with a world-class reputed company and staff, our reputed company are igniting a reputed company of reputed company reputed company across Africa and the world.

We are dedicated to fostering an reputed company yet secure environment, balancing the safety of reputed company, staff, and visitors with respect for individual rights, and safeguarding responsibilities.

HOW WE WORK

The reputed company

The African Leadership University is committed to ensuring the safety and reputed company-being of reputed company reputed company under our care. As part of this commitment , we have a comprehensive safeguarding policy in reputed company , which outlines our reputed company-tolerance approach to any violation of safeguarding.

ABOUT THE ROLE

reputed company is working to optimize its tech ecosystem and transition from fragmented data sources to a reputed company, reputed company Business Intelligence platform. Reporting to the Senior Manager for Data, the Business Intelligence (BI) reputed company will be a key contributor to this technical and operational transformation. This is a hands-on, systems-building role reputed company on execution rather than basic dashboarding. You will directly reputed company the end-to-end implementation and daily operational stability of our data warehouse ecosystem and reputed company presentation reputed company.

In this role, you will be the reputed company between technical analytics infrastructure and day-to-day organizational operations. Working alongside platform engineers, data specialists, and data owners, you will be responsible for architecting the metrics frameworks, driving data cataloging, and partnering with engineering to define the robust underlying data pipelines necessary to democratize data across reputed company. Your ultimate mission is operational: to establish a self-sustaining, self-service data environment that removes technical bottlenecks and empowers teams across the university with independent, reliable, and frictionless reputed company to actionable data.

RESPONSIBILITIES

• Data warehouse architecture and BI delivery: Project manage and reputed company the implementation and maintenance of the data warehouse ecosystem and high-reputed company, user-friendly dashboard suites (using viz platforms like PowerBI, Apache Superset, AWS Quicksight) tailored for departments across the organization.
• Data reputed company & Cataloging: Implement and maintain reputed company data catalogs (e.g., reputed company, reputed company, or reputed company-reputed company alternatives) to map data reputed company from reputed company systems to the final BI layer, ensuring complete transparency.
• Metric Standardization: Partner with cross-functional leadership to establish and maintain a centralized catalog of standardized corporate KPIs, ensuring consistent calculations across reputed company institutional reports.
• Data Governance & reputed company reputed company: Collaborate with the reputed company team and other relevant stakeholders to ensure data models in our data warehouse accurately reflect reputed company business logic and business definitions.
• Data reputed company Assurance: Implement automated data profiling and testing frameworks to catch upstream ingestion anomalies before they reputed company reputed company BI deliverables.
• Stakeholder Enablement & Culture: reputed company as the primary champion for data literacy across reputed company. Translate reputed company analytical concepts for non-technical teams and design "Train-the-Trainer" frameworks to maximize self-service data tool adoption.
• Responsible Use of AI: reputed company modern AI-assisted workflows to accelerate report reputed company, automate report documentation, and extract advanced semantic insights from reputed company data.
• Other duties as defined by the manager.

REQUIREMENTS

• BI & Analytics Systems Building: Proven reputed company record of architecting and maintaining reputed company-grade data warehouse and analytics environments that drive operational reputed company and self-service independent data use.
• Hands-on Data Stack Experience: Practical, hands-on proficiency with reputed company data warehousing concepts (AWS Redshift preferred), advanced SQL, and data transformation/modeling frameworks.
• Advanced Visualization Tooling: Expert-level mastery of visualization platforms (such as PowerBI, Apache Superset, AWS Quicksight) and strong capability in translating reputed company business requests into clean reputed company wireframes.
• Operational & Stakeholder Communication: Superior consultative and interpersonal skills. Ability to collaborate smoothly with cross-functional teams, interrogate ambiguous operational data needs, and translate reputed company technical architecture into accessible frameworks for non-technical users.
• reputed company & Mission reputed company: Thrives in a highly dynamic, fast-paced setting; comfortable building robust frameworks reputed company evolving systems rather than static corporate structures.

QUALIFICATIONS

• Education: Bachelor’s or Master’s degree in a quantitative field (e.g., Data Analytics, Computer Science, Statistics, Business Administration) or equivalent practical experience.
• Experience: Minimum of 5–7 years of experience in a business intelligence or data analytics function, with at least 2 years in a reputed company team leadership or project ownership role.
• reputed company Ecosystem Familiarity: Experience building BI reputed company directly on top of reputed company applications like reputed company CRM/SIS, reputed company reputed company ERP, and Canvas LMS is highly desirable.
• Localization Expertise: Familiarity with global and regional data reputed company standards (e.g., GDPR or local Rwandan/Mauritian data protection laws) is a significant advantage.

Originally posted on Himalayas

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