Urbox ★ 3.5

Data Analyst Specialist will be part of the Finance & Data Analytics Department and work to supplement the analytics and visualization contributions towards the data-driven decisions. This candidate should enjoy managing high volumes of commercial and operational data and be comfortable providing analyses and insights. They will have the opportunity to directly influence the products and development of the company – their conclusions will have a wide-ranging impact on the commercial decisions of the business. The main tasks include, but are not limited to:

• Building, developing, and maintaining automated dashboards to monitor performance metrics.
• Monitoring data quality to ensure data sources are reliable and relevant for the team’s purposes.
• Analyzing complex data to drive insightful findings and translating them into meaningful, actionable recommendations for our stakeholders.
• Motivating, mentoring, and supervising junior team members, facilitating high performance.
• Designing and implementing solutions and best-practices, with automation and scalability in mind, to empower end-users to become self-reliant.
• Collaborating with internal teams to consolidate requirements, understand business needs, and deliver projects in a timely manner.
• Ad-hoc Reporting & Data Analysis duties or other responsibilities as required.
• Types of projects include customer segmentation; analyses to enhance user acquisition, engagement, conversion, retention; reporting standardization; gamification; A/B testing & experimentation analysis for product development and optimization.
• Improving the quality of analytics solutions on a consistent basis

• University degree (BA, BSc, etc.) in a quantitative/ business major such as Statistics, Computer Science, Business Management, Finance, Information Management etc.
• 4+ years’ experience in Data Analytics or Business Intelligence Excellent analytical skills and problem-solving aptitude
• Experience writing complex queries in SQL or other SQL-based languages.
• Work proactively with key business partners to closely monitor risks and opportunities and identify improvement opportunities.
• Foster strong relationships with business units by establishing a culture of support and shared accountability within the team.
• Self-learner and quick to adopt new knowledge and technical skills.
• Experience with BI/analytics/statistics tools and languages (Google BigQuery, Data Studio, R, Python, etc.)