Data Analyst

Responsibilities

• Build and maintain dashboards, scorecards, and reports to track key business and commercial performance metrics.
• Analyse accounts, partners, and business performance data to identify trends, opportunities, and areas for improvement.
• Support budgeting, forecasting, and business planning through data modelling and scenario analysis.
• Measure the impact of sales initiatives, partnerships, and growth strategies using data-driven insights.
• Conduct market sizing, competitive analysis, and industry research to support pricing decisions and growth opportunities.
• Develop partner performance scorecards and support quarterly business reviews.
• Produce clear, executive-ready reports and presentations that translate complex data into actionable recommendations.
• Work closely with Commercial, Product, Technology, and Operations teams to improve reporting, data quality, and business decision-making.
• Leverage internal and external data sources to quantify addressable market opportunities and support new business initiatives.
• Perform ad-hoc analyses and undertake special projects to support evolving business needs.

Qualifications

• Bachelor's degree in Business Analytics, Statistics, Mathematics, Economics, Computer Science, or a related discipline.
• 1-3 years of experience in data analytics, business intelligence, commercial analytics, or a similar analytical role.
• Strong analytical mindset with the ability to interpret data and identify business opportunities and trends.
• Proficient in SQL and Microsoft Excel for data extraction, analysis, and reporting.
• Experience with data visualization and dashboarding tools such as Power BI.
• Ability to translate business requirements into meaningful analyses and actionable insights.
• Strong communication skills with the ability to present findings to stakeholders in a clear and concise manner.
• Detail-oriented with strong problem-solving and organisational skills.
• Ability to manage multiple projects and work effectively in a fast-paced environment.

Preferred

• Experience in B2B, mobility, transportation, logistics, or technology-related industries.
• Exposure to sales performance analysis, customer segmentation, revenue analysis, or commercial reporting.
• Familiarity with Python or other analytical tools would be advantageous.