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Data Analyst

Royal Media GroupNairobi, Kenya
Full Time

Royal Media Services Limited is the largest electronic Media House in Kenya. Home to the most popular television and radio channels according to audience share, at Royal Media Services we fashion our programming primarily to connect with our audiences. Our brands are Citizen TV, Inooro TV, Radio Citizen, Ramogi FM, Inooro FM, Musyi FM, Chamgei FM, Muuga FM, Egesa FM, Bahari FM, Mulembe FM, Wimwaro FM, Sulwe FM, Hot 96 and Vuuka FM.

As the Data Analyst, your responsibilities will:

  • Work closely with sectional heads to understand business and data requirements and provide direction.
  • Ensure that data which is required for reporting is available and in a format which can be easily consumed while overseeing accuracy and integrity of the data.
  • Participate in data design and infrastructure conversations as well as identify and coordinate data infrastructure improvements with analytics, data and software team.
  • Enable the success of the Company by supporting them in accessing, understanding, and utilizing data.
  • Ensure consistency, accuracy, and overall integrity of business metrics.
  • Develop and maintain business intelligence documentation, training materials, best practices, and overall data toolkit
  • Assist in the development and programming of data collection tools.
  • Work with research managers and investigators to implement statistical analysis plans. This will involve developing, testing, and executing statistical programs to generate descriptive statistics, conduct hypothesis tests, and create graphical representations.
  • Generate reports and visualizations to communicate research findings to both internal teams and external stakeholders.


  • Bachelor’s degree, ideally in Computer Science, Math, Statistics or Economics.
  • Experience in data analysis (ideally 2 years)
  • The ability to balance priorities, clarify stakeholder requirements, pay keen attention to detail, and generally keep deliverables on schedule
  • Proficiency with Excel, PowerBi or other data visualization tools, SQL, coding platforms such as R and statistical methods (Python an added plus)
  • Ability to communicate technical details clearly and concisely to management & external stakeholders
  • A curious mind and a passion for problem-solving, data and analytics.

Method of Application

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