Jobseeker

Qualifications

At least 3 – 6 years of progressive experience in data analytics, BI, commercial performance analytics, financial analysis, or decision support roles within telecom, digital, FMCG, financial services, or similarly data rich environments.

Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Economics, Actuarial Science, Engineering, Finance, or Business Analytics or related field or equivalent qualification(s) from a recognized institution of higher learning.

Postgraduate qualification (e.g., Master’s in Data Analytics, Applied Statistics, Finance, Economics, or Business Administration) is a strong advantage.

Experience working within agile delivery models, including tribes, squads, backlog management, sprint planning, and

cross functional collaboration, is highly desirable.

Advanced proficiency in modern BI and analytics tools such as Power BI, Tableau, Qlik Sense, and strong working knowledge of SQL, Python, R, or equivalent data manipulation languages.

Demonstrated capability in data mining, KPI modelling, dashboard design, data storytelling, and insight visualization, with high attention to detail and quality.

Practical understanding of International Financial Reporting Standards (IFRS) and financial structures to accurately interpret P&L, revenue drivers, variance analyses, and commercial performance reports.

Strong ability to translate management reports into actionable insights, communicate findings clearly, and engage business leaders with evidence based recommendations.

Proven ability to work under pressure, manage multiple priorities simultaneously, and meet strict analytical and reporting deadlines in fast paced environments.

Strong stakeholder engagement skills, with the ability to collaborate effectively across Commercial, Finance, Product, Digital, and BI/Data Engineering functions.

High standards of integrity, professionalism, and data governance awareness, including adherence to data privacy, accuracy, and security requirements.