Responsibilities 

• Design, build, and maintain scalable data pipelines for data extraction, transformation, and loading (ETL) to support analytics and reporting needs.
• Conduct statistical analysis and simulations to identify trends in areas such as acquisition metrics, healthcare service utilization, and customer behavior.
• Generate actionable insights through comprehensive data analysis, driving strategic decisions and improving business outcomes.
• Automate and enhance data transformation routines with a focus on efficiency and reliability.
• Collaborate with cross-functional teams to develop use cases that support business functions (actuarial, finance, marketing, underwriting, customer experience…).
• Communicate complex data findings through reports and presentations, assisting management in implementing data-driven solutions.

Qualifications, Training and Experience

Qualifications:

• Degree holder in relevant field (Information management, Computer Science, Business Intelligence, Statistics, Data Science, Actuarial science, etc.)
• 0-3 years of professional experience. Experience in an analytics-related position at an insurance, healthcare, bank tech or consulting company is desirable. 
• Business fluency in English

Technical skills:

• Advanced proficiency in SQL and experience with SQL Server or similar databases
• Proficiency in a programming language (Python, Java)
• Proficiency in a Business Intelligence software (PowerBI preferred)
• Exposure to cloud platforms and services (Azure preferred) and analytics platforms (Snowflake, Databricks)
• Experience with CI/CD practices and version control system (Git)

Soft skills: 

• High level of integrity, trust and servicing mindset - Empathy, positivity, interpersonal skills and sharing mindset
• Ability to effectively communicate, present and negotiate in a corporate setting.
• Organisation, self-prioritisation, autonomy and proactivity
• Sensitivity and attention to graphic details / visuals are highly appreciated

Additional desirable skills: 

• Insurance business acumen (Reserving, Pricing, KPIs, etc.), 
• Healthcare business acumen (Medical, Wellness, etc.)
• Digital Marketing and e-Commerce (Funnel, acquisition metrics., etc.)
• Data domains acumen (Engineering, architecture, science, reporting, governance, etc.)