Responsibilities:

- The Head of Analytics will lead the data analytics business and ensures that the business in its various departments understands its own health, finds growth levers, and identifies opportunities for optimization.

- Leads the business through all efforts that drive business performance and potential by using the existent and new data sources and techniques.

- Leads initiatives relating to the optimization of existing departmental policies and leads initiatives that relate to individual department optimization leading to performance improvement across the business.

- Drives performance of analytics solutions to impact overall business results while keeping costs in check and ensuring the department remains within the planned budget.

- Responsible for setting the departmental vision and culture and championing for the use of data in making key business decisions, in charge of driving the day-to-day analytical approaches and exploring solutions to particular problems.

- Defines the business questions that need be answered and defines appropriate analytics models in addition to identifying and readying relevant data sources for analysis.

- Play an analytical role where he develops and applies analytical algorithms and methods where possible with a view of driving and enhancing data systems and streamlining business processes.

- The Head of Analytics further collaborates with numerous departments across the business, aiding them in the proper use of data, hence, ensuring the delivery of desired operational results.

Candidate Profile:

Desired Profile:

 Education: The Head of Analytics has to have a master's degree (Phd preferred) in Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math, Business Administration, or any other related field. An equivalent of this requirement in working experience is also acceptable for the position.

Experience: A candidate for this position must have had at least 15 years of proven and successful experience in the execution of data analytics initiatives, leading to the development of useful insights and the improvement of a business's performance and driving top-line growth.

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