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Eat 'N’ Go Limited is a restaurant group on a mission to become the premier food operator in Africa. So far, our growing family consists of three international brands, Domino's Pizza, Cold Stone Creamery & Pinkberry.
Eat N’ Go limited officially started operation in August 2012 with the premier store at 4, Saka Tinubu Victoria Island, Lagos.
Today, Eat N' Go has about 50 stores (outlet) across Nigeria and still growing with presence in Abuja, Lagos, Ibadan, Abeokuta and Enugu.
Managers are trained and required to handle all aspects of managing the business; from the preparation of food to the delivery of the final product, hiring, firing and the profit and loss.
Main responsibilities would be the management of product, service and image of the restaurant.In Domino’s, the store manager has ultimate responsibility for the day-
to-day operations and will always be working towards and exceeding performance targets. This role also represents a significant opportunity to entrepreneurial applicants, there is strong potential for career progression within the company and applicants will be required to show a desire to fulfill these ambitions.
To meet and exceed performance targetsTo recruit, train and manage other branch staffCreate a fun and professional working environmentProvide a consistently high quality product and service to customersLiaise with other senior management regarding marketing and business developmentEnsure that health and safety and cleanliness standards are upheld at all times
Diploma / Degree in Hospitality, Hotel and Catering, Food Sciences or any related discipline.Three (3) years experience managing in a quick service restaurant is highly desirableEntrepreneurial mindsetPeople skillsCustomer orientatedGood command of EnglishMust be able to work on shifts, weekends and public holidays
We are looking for an experienced Data Analyst who will turn information into insights and help management make smarter data-
driven decisions.The right candidate will have a passion for discovering solutions hidden in large data sets. (S)he will support our operational and marketing teams with insights gained from analysing data.
The ideal candidate is adept at analysing large data sets to find opportunities for product and sales optimization and using models to test the effectiveness of different courses of action.
S)he must have strong experience using a variety of data mining / data analysis methods, using a variety of data tools, building and implementing models.
S)he must have a proven ability to drive business results with their data-based insights and must be comfortable working with a wide range of stakeholders and functional teams to achieve strategic objectives.
Provide ongoing reports for actionable decision makingMine, analyse and interpret data using statistical techniques to drive resource optimization, product development, marketing techniques and business strategies.
Acquire data from primary or secondary data sources, administer and maintain databases / data systemsUtilize technical and programming skills to enhance and develop process automationUse predictive modelling to increase and optimize customer experiences, sales generation and other business objectivesIdentify, analyse, and interpret trends or patterns in complex data sets using various statistical techniquesAssess the effectiveness of promotions and promotional activities.
Develop tools to monitor and analyse performance and data accuracy.
Strong problem solving skills with an ability to multitask and work under pressureExperience using analytical computer languages (R / Python, SQL, etc.
to manipulate data and draw insights from large data setsAdvanced Excel userExperience with report and process automation using MS SQL, VBA and other technologiesExperience querying databases and using statistical techniquesKnowledge and experience creating and using machine learning algorithms and statistics : regression, scenario analysis, modelling, clustering, decision trees, Sentiment Analysis(NLP) etcA drive to learn, master and recommend new technologies and techniques
Minimum of a Master’s degree in Mathematics, Statistics or any other related field. Bachelor’s with relevant skills and / or experience may also applyAt least 3-
6 years relevant experienceExperience in the food / hospitality industry is desirable but not required
Method of Application
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