Data Analyst

Roles and responsibilities

The Data Analyst will play a key role in analyzing complex datasets, generating insights, and supporting data-driven decision-making 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 ad-hoc 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 data-driven solutions. Collaborate with cross-functional teams to understand requirements and provide analytical support

Desired candidate profile

• Bachelor’s 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
• Hands-on 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 cloud-based data platforms (e.g., Azure, AWS)
• Experience in the industry related to Travel, Hospitality and Leisure