Better work, Better life

Senior Data Analyst 
07/05/2019
SM
Pamplemousses
Negotiable
28/05/2019

Our client, a key player in the hospitality sector, is looking for a Senior Data Analyst 

The successful candidate will be responsible to shape the business data infrastructure, inclusive of data-warehousing, reporting and analytics platforms.

The aim of the department is to use data to guide assigned business departments through all programs and initiatives, enabling continuous improvement in data quality, departmental performance and overall business performance.

Main responsibilities:
  • Identify, communicate and endeavour to resolve data gaps that impact the fulfilment of the business’s functional requirements.
  • Build and operationalize processes that ensure timely loading of data used within the data department
  • Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.
  • Assist in data related projects pertaining to the Digital Transformation Strategy.
  • Develop logical and conceptual data flows that are in support of departmental project requirements and guide various business departments in appropriate and effective use of data.
  • Generate clear and informative reports which are uniquely tailored to suit different audiences.
  • In a highly collaborative role, the Senior Data Analyst is expected to work with the business’s departmental heads, management, and key stakeholders, in developing detailed business requirements, conducting gap analyses, creating functional designs, and guiding the business’s leadership through analytical data processing when needed.
  • Perform Market Research and Guest Profiling.
  • Generate clear and informative reports which are uniquely tailored to suit different audiences.
Qualification:
  • Bachelor’s Degree in Data Science, Computer Science, IT, IS, Statistics, Business Administration or any other related field.
  • At least 3-5 years’ experience in a Data Analyst position or an analytics-related position.
Candidate profile:
  • Attention to detail
  • Ability to handle multiple tasks and meet tight deadlines
  • Excellent communication skills
  • Proficiency in Microsoft Excel and PowerPivot Modelling Techniques for the creation of visually and verbally engaging reports.
  • Knowledge of R or Python (Optional: will be considered an added advantage)
  • Knowledge of Relational Database Management Systems (RDBMS) and data warehouse front-end tools.
  • Ability to draw actionable insights from raw data.
  • Demonstrate creative and innovative problem-solving skills.
  • Knowledge of statistical and econometric modelling, quantitative analysis, and technological data mining and analysis techniques.

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