Data Scientist at Old Mutual

Responsibilities

Day-to-day operations will include:

• Collecting, sanitising, analysing and interpreting data to provide insights primarily to internal and management teams for business use.
• Visualising internal and external data flows and sets for valuable insights
• Assisting in designing and developing new or enhanced reports, dashboards, and other data visualisation tools to help internal and external stakeholders understand and act on data insights.
• Managing the technical operations of our data-driven tools, including troubleshooting and maintenance.
• Assisting in collaboration with cross-functional teams to identify opportunities for data-driven solutions.
• Staying up-to-date with industry trends and best practices in data analysis and business intelligence.
• Mathematically modelling scenarios and future projections/scenarios
• Managing and prioritising multiple projects simultaneously, ensuring timely delivery and high-quality results.
• Presenting insights and results to internal and external stakeholders

Technical Knowledge

• Proficient knowledge of technical data and visualisation platforms

Quality Assurance

• Adheres to service and quality standards.
• Produce accurate outputs within required deadlines.

Operational Efficiency

• Adheres to year planners of required deliveries of reports and outputs
• Generally operates and liaises with stakeholders
• Ensures that all deadlines and SLA requirements are met.
• Continually looks for ways to improve time standards by streamlining processes and passing this on to the relevant person/team.
• Manages and identifies enhancements required to improve operational effectiveness and process automation.

Relationship Building

• Builds relationships with stakeholders, seniors, peers and/or colleagues that impact across business areas.

Personal Effectiveness

• Accepts and lives the company values.
• Accountable for service delivery through self and others.
• Collaborates effectively with others to achieve individual results.

Minimum qualification(s) required:

• Grade 12 plus
• Bachelor's degree in data analysis, statistics, mathematics, data science, business intelligence, or a related field.
• 5+ years of experience in data analysis, business intelligence, or a related field.
• Proficient in platforms like R, Python, SQL, Alteryx, PowerBI and other data analysis tools.
• Strong project management skills, with the ability to manage multiple projects simultaneously.
• Excellent ability to communicate complex data insights to non-technical stakeholders.
• Strong attention to detail and problem-solving skills.
• Financial services industry and knowledge preferred