26 May

Data Analyst Jobs Vacancy at Legacy Hotel And Suites Lagos

Position
Data Analyst
Company
Legacy Hotel And Suites
Location
Lagos Lampung
Opening
26 May, 2018 30+ days ago

Legacy Hotel And Suites Lagos urgently required following position for Data Analyst. Please read this job advertisement carefully before apply. There are some qualifications, experience and skills requirement that the employers require. Does your career history fit these requirements? Ensure you understand the role you are applying for and that it is suited to your skills and qualifications.

Follow the online directions, complete all the necessary fields, and provide all relevant information so your application is submitted correctly. When you click the 'Apply this Job' button (open in new window) you will be taken to the online application form. Here you will be asked to provide personal and contact details, respond to employment-related questions, and show how you meet the key selection criteria.

Data Analyst Jobs Vacancy at Legacy Hotel And Suites Lagos Jobs Details:

Legacy Hotel and Suites gives you the luxury of an international standard hotel with the freedom and space of home, by offering you the flexibility of choosing individual guestrooms or a complete fully fitted apartment, described as an urban oasis, offers unique style, spacious guestrooms and suites and especially gracious services that make it an ideal getaway spot for business and leisure travelers alike.

Job Description

  • 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.

Responsibilities

  • Provide ongoing reports for actionable decision making
  • Mine, 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 systems
  • Utilize technical and programming skills to enhance and develop process automation
  • Use predictive modelling to increase and optimize customer experiences, sales generation and other business objectives
  • Identify, analyse, and interpret trends or patterns in complex data sets using various statistical techniques
  • Assess the effectiveness of promotions and promotional activities.
  • Develop tools to monitor and analyse performance and data accuracy.

Qualifications

  • Minimum of a Bachelor's degree in Mathematics, Statistics or any other related field.
  • At least 3 years relevant experience
  • Experience in the food/hospitality industry is desirable but not required.

Skills:

  • Strong problem solving skills with an ability to multitask and work under pressure
  • Experience using analytical computer languages (R/Python, SQL, etc.) to manipulate data and draw insights from large data sets
  • Advanced Excel user
  • Experience with report and process automation using MS SQL, VBA and other technologies
  • Experience querying databases and using statistical techniques
  • Knowledge and experience creating and using machine learning algorithms and statistics: regression, scenario analysis, modelling, clustering, decision trees, Sentiment Analysis(NLP) etc.
  • A drive to learn, master and recommend new technologies and techniques.


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