New
1 week ago

Job Summary

Our client, who manufactures easily recognizable brands in Kenya and the region, is looking for a critical resource who will assist the Chief Executive Officer (CEO) in analytical work coupled with office’s planning and administrative work. This position requires the skills set of an Analyst and an effective Personal Assistant.

  • Minimum Qualification : Bachelors
  • Experience Level : Mid level
  • Experience Length : 5 years

Job Description/Requirements

  •  Assist in the development and implementation of data management strategies, ensuring efficient data integration, storage, and retrieval processes.
  •  Collaborate with cross-functional teams to establish data quality standards and perform regular data audits to identify and rectify discrepancies.
  •  Share appropriate data sets under appropriate data sharing Agreements with identified departments.
  •  Support the technical team in statistical analysis and predictive modelling tasks using excel, python, R-software, SQL and Power BI.
  •  Help in the creation and evaluation of Machine Learning Models (ML) for Financial Time Series analysis in R and python modelling.
  •  Create clear and visually appealing data visualization to communicate complex data information effectively using Power BI.
  •  Provide administrative assistance, such as writing and editing e-mails, drafting memos, organizing meetings, and preparing communications on the Executive’s behalf.
  •  Perform some accounting duties including tracking daily expenses and preparing Reports.
  •  Welcome visitors and identify the purpose of their visit before directing them to the appropriate department.
  •  Manage the Executive’s calendar, including making appointments and prioritizing the most sensitive matters.
  •  Function as the point of contact among executives, employees, clients, and other external partners.
  •  Oversee the performance of office staff below and keep up with office supply inventory.


Personal Specifications:

  •  Bachelor’s degree in actuarial science, Financial Engineering, Computer science, Industrial Mathematics, Economics, Statistics, Data Science or Mathematics or a Business degree with professional Certification in Data Science.
  •  Proficiency in at least two statistical programming language for big data analysis.
  •  Certification in any professional course such as Data science, CAIA, CIFA, CFA, FMVA and BIDA.
  •  At least 5 years’ experience as an Analyst.


The successful candidate will have an opportunity to practice in an exciting multi-tasked job environment. Whoever succeeds in this role will have good chances of growth within the Company. If you consider the opening exciting and feel that it would stretch your existing competencies, then

please send your current CV before close of business on Monday, 7 th April 2025. 

ONLY SHORTLISTED CANDIDATES SHALL BE CONTACTED

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