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Analyst, Fuel Operations, Apapa at Dangote

DangoteLagos, Nigeria Data and Artificial Intelligence
Full Time
The Dangote Group is one of the most diversified business conglomerates in Africa with a hard-earned reputation for excellent business practices and products' quality with its operational headquarters in the bustling metropolis of Lagos, Nigeria in West Africa. The Group's activities encompass: Cement - Manufacturing / Importing Sugar - Manufacturing & Refining Salt - Refining Flour & Semolina - Milling Pasta - Manufacturing Noodles - Manufacturing Poly Products - Manufacturing Logistics - Port Management and Haulage Real Estate Dangote Foundation Since inception, the Group has experienced phenomenal growth on account of quality of its goods and services, its focus on cost leadership and efficiency of its human capital. Today, Dangote Group is a multi-billion Naira company poised to reach new heights, in every endeavour competing with itself to better the past. The Group's core business focus is to provide local, value added products and services that meet the 'basic needs' of the populace. Through the construction and operation of large scale manufacturing facilities in Nigeria and across Africa, the Group is focused on building local manufacturing capacity to generate employment and provide goods for the people.

Description

  • Welcome to Dangote Cement Plc, a leading Cement Manufacturing Company. We are currently seeking a highly motivated and experienced Supply Chain Operations Analyst to support the Head, Fuel Management in designing, analyzing, and implementing, operations performance management on a day-to-day basis.
  • In this role, you will be responsible for analyzing and reporting all activities related to the Performance Management Framework of the unit and managing all communication, sensitization, and monitoring of the process to ensure its effectiveness and relevance to the unit.

Key Duties and Responsibilities:

  • Assist in monitoring the Performance Management system to enable the team to understand the departmental goals, show how their individual and team outputs contribute to the achievement of objectives; specifically, through managing the performance cycle to ensure cross-functional alignment in line with Key Performance Indicators.
  • Oversee all initiatives of the unit from development through to monitoring and tracking to ensure successful execution and ultimately reporting back on results/outcomes.
  • Displays effective knowledge in respect of the unit on crucial projects, track, and report on progress.
  • Collaboration: Provide Support to all Unit leadership team to ensure that all commitments are delivered on time and in full.
  • Participate in the Annual Operations Planning process for the unit and draw from these the KPIs which should be aligned to the functional leadership team. Aligned KPIs should be further broken down into team KPIs and cascaded effectively.
  • Ensure all business processes within the unit run smoothly and efficiently, 100% of all teams are covered by the OPMS routines and procedures, all meetings abide by OPMS principles. Responsible for ensuring that action points raised from all OPMS review meetings across the unit are followed up on and closed timely to improve the unit/function performance.
  • Monitor the Performance Management system to enable the team to understand the departmental goals, show how their individual and team outputs contribute to the achievement of objectives; specifically, through managing the performance cycle to ensure cross-functional alignment in line with Key Performance Indicators.
  • Oversee all initiatives of the unit from development through to monitoring and tracking to ensure successful execution and ultimately reporting back on results/outcomes.
  • Displays effective knowledge in respect of the unit on crucial projects, track, and report on progress.
  • Collaboration: Provide Support to all Unit leadership team to ensure that all commitments are delivered on time and in full.

Requirements

Education and Work Experience:

  • Bachelor’s degree/ HND in Computer Science, or related field
  • Minimum of 2 years of experience in Data Analysis.
  • A self-directed person with experience designing and rapidly implementing new tools and processes who

Method of Application

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