The Data Analyst will play a key role in analyzing complex datasets generating insights and supporting datadriven decisionmaking across various business functions. The role involves assisting in the analysis of data interpreting results and presenting findings in a clear and concise manner through reports and presentations. Additionally this role is responsible for consolidating and analyzing business processes and stakeholder requirements based on inputs of business function or tenants translating the business needs into BI features and contributing to embedding such business features on BI dashboards.
The job scope also includes:
Data Analysis & Interpretation
- Analyse and interpret large datasets to provide actionable insights and recommendations
- Work closely with stakeholders to identify trends patterns and potential areas of improvement
- Support the team with adhoc data analysis requests and deep dives into specific business problems
Reporting & Visualization
- Create and maintain dashboards and reports using Power BI Tableau or similar visualization tools
- Monitor key performance indicators (KPIs) and ensure the accuracy and timeliness of data reporting
Data Quality & Integrity
- Ensure data accuracy consistency and integrity throughout the analysis process. Identify and resolve data quality issues or inconsistencies
Problem Solving
- Identify business problems or challenges and formulate datadriven solutions. Collaborate with crossfunctional teams to understand requirements and provide analytical support
To be considered for the role you will need to have:
- Bachelors degree in data science Statistics Mathematics Computer Science or a related field
- Power BI/ Tableau certification or learning badges (Analyst/Developer)
- Minimum 5 years of data analyst or related experience including proficiency with analytical software or equivalent related education
- Proficiency in data analysis tools and languages such as SQL Python or R
- Handson experience with data visualization platforms like Power BI Tableau or others
- Interpreting data analysing results using statistical techniques
- High level of mathematical ability
- A methodical and logical approach
- Accuracy and attention to detail
- Interpersonal skills
- Teamworking skills
- Written and verbal communication skills
- An understanding of the ethics of gathering and working with data
- Ability to work under pressure and meet tight deadlines
It would be good to have:
- Experience with statistical software (such as Excel SPSS SAS)
- Experience with machine learning predictive analytics or advanced statistical methods
- Expertise developing data exploration and data visualization tools like Looker Chartio etc.
- Familiarity with cloudbased data platforms (e.g. Azure AWS)
Experience in the industry related to Travel Hospitality and Leisure
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