Senior Data Analyst

at  Health Solutions

INTRODUCTION

Through our client-facing brands Metropolitan and Momentum, with Multiply (wellness and rewards programme), and our other specialist brands, including Guardrisk and Eris Property Group, the group enables business and people from all walks of life to achieve their financial goals and life aspirations. We help people grow their savings, protect what matters to them and invest for the future. We help companies and organisations care for and reward their employees and members. Through our own network of advisers or via independent brokers and utilising new platforms Momentum Metropolitan provides practical financial solutions for people, communities, and businesses.

QUALIFICATIONS

• Bachelor’s degree or equivalent qualification in a relevant field such as Business Analytics, Computer Science, Information Systems, Information Technology, or a related field (Essential)
• Master’s degree or equivalent qualification in a relevant field such as Data Science, Statistics, Computer Science, Analytics, Applied Mathematics, or Business Analytics (Desirable)

ON-THE-JOB TRAINING / QUALIFICATIONS

• Advanced SQL Programming certification (Desirable)
• Python certification (Desirable)
• Analytical tools certification (e.g., PowerBI, QlikView, Cognos, Tableau) (Desirable)

KNOWLEDGE

• Understanding of business and data analytics practices, including knowledge of industry trends, best practices, and emerging technologies in data analysis and business intelligence.
• Understanding of data structures, data management principles, and data warehousing concepts, encompassing knowledge of relational databases, data modelling, ETL (Extract, Transform, Load) processes, and data integration techniques.
• Knowledge of SQL programming and database management, with expertise in writing efficient queries, optimising code, and ensuring data integrity.
• Statistical knowledge and expertise in applying statistical methods, hypothesis testing, and modelling techniques for data analysis and decision-making.
• Understanding of data visualisation principles and tools (e.g., tools Tableau, Power BI, or matplotlib).
• Familiarity with statistical tools and software for data analysis, such as Python libraries (NumPy, Pandas, scikit-learn) or R packages, to extract insights and perform advanced data modelling.
• Knowledge of data analysis techniques, including statistical analysis, data mining, and data modelling, to derive meaningful insights from complex datasets.

SKILLS

• Communication skills (written and verbal)
• Computer skills
• Report writing skills
• Data analysis skills
• Data management skills
• Data visualisation skills
• Problem solving skills
• Critical thinking skills
• Statistical data analysis skills
• Statistical modelling skills
• Programming skills (SQL)
• Programming skills (Python)

EXPERIENCE

• A minimum of 5 years of relevant experience, in data analysis, data mining, and data modelling (essential)
• 2 years or more of experience in using data visualisation tools such as Power BI, QlikView, Cognos, or Tableau (essential)
• Experience with statistical analysis, hypothesis testing, and predictive modelling techniques (essential)
• Experience in data warehousing and a solid understanding of general business principles and operations (essential)
• Insurance/Finance industry (desirable)

ROLE PURPOSE

To leverage advanced data analysis techniques, data science methodologies, and stakeholder engagement to understand business needs, identify risks, influence strategy, and manage costs in compliance with regulatory requirements.