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Business Intelligence Manager

Category

Information Technology

Employment Type

Full-time

Location

Rwanda

Vacancies

1 position

Closing Date

11/10/2026
8 days left

Employer / Company

RwandAir logo
RwandAir
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Description (Public)

a. Data Management & Governance

Duties, Roles and Responsibilities

  • a. Data Management & Governance
  • Ensure high data quality, integrity, and security by overseeing data stewardship and governance processes.
  • Oversee design, build, and maintenance of data pipelines and warehousing solutions. b. Analytics & Reporting
  • Generate executive-level dashboards, KPIs, and insights related to passenger flow, on time performance, revenue, operations, and customer satisfaction.
  • Use advanced analytics —including modeling, forecasting, or A/B testing —to address commercial and operational challenges. c. Stakeholder Engagement
  • Collaborate across airline, airport, commercial, and operational teams to translate business questions into analytics solutions.
  • Present BI findings to senior leadership and recommend strategic actions.
  • Lead external BI partnerships and manage contractors/vendors for analytics initiatives. d. Strategy & Leadership
  • Develop and execute the BI roadmap aligned with commercial, operational, and safety
  • Lead and mentor a team of BI analysts and data engineers, fostering professional development and implementing performance management systems.
  • Drive adoption of cloud analytics, modern BI platforms, and scalable architectures.

Qualifications, Education and Competencies

Qualifications & Experience:

  • About You – Minimum Standard Qualifications;
  • Bachelor’s degree in Data Science, Computer Science, Business Analytics or related field.
  • A minimum of 3 year hands-on experience with working on Business Intelligence systems
  • A minimum of Three (3) years of experience with managerial and leadership capacities.
  • 3. About You – Other Desired Competencies & Skills;
  • Expertise in Business intelligence tools such as Power BI, Tableau and strong SQL skills.
  • Knowledge of data warehousing platforms and cloud tech (AWS, AZURE, SnowFlake etc)
  • Experience with Advanced analytics including predictive modeling, AI/ML.
  • Excellent communication – ability to engage both technical teams and senior leadership.
  • Analytical thinking, problem solving mindset, adaptability and strategic vision.

How to Apply

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