Responsibilities

• Data-Driven Analysis and Decision Making
  
  • Data Collection:
    
    • Ability to design and implement field research to decipher customer pain points
  • Data Visualisation:
    
    • Techniques to enhance communication between data engineers and decision-makers
  • Data Analysis:
    
    • Identification of trends, patterns and insights informing both tactical and strategic decisions
• Relationship Management:
  
  • Interdepartmental Collaboration, especially with data engineers, to gather insights
  • Fostering and nurturing relationships with consultants and partners
  • Effective presentation skills to communicate with investors
  • High Emotional Intelligence to drive both hierarchical and peer-to-peer leadership
• Microsoft Office
  
  • Demonstrate advanced proficiency in Microsoft Office suite, particularly Excel, PowerPoint, and Word.
  • Create comprehensive reports, presentations, and documents to communicate key findings and recommendations.
  • Utilise Excel for data manipulation, analysis, and modelling to support strategic initiatives.

Personality Profile

• Openness: Versatile and Adaptable
  
  • Demonstrates a curious and imaginative mindset.
  • Shows eagerness to explore new ideas, concepts, and approaches.
  • Exhibits a natural inclination towards creativity and innovation.
  • Actively seeks novel solutions to challenges and embraces unconventional paths.
  • Receptive to feedback and new perspectives, fostering continuous growth and development.
• Extraversion: Highly Effective Communicator
  
  • Thrives in social settings and exhibits strong communication skills.
  • Energised by interactions with others.
  • Capable of building and maintaining relationships with stakeholders.
  • Assertive and emotionally expressive, contributing to effective leadership and collaboration within the team.
  • Actively seeks networking opportunities for personal and organisational growth.
• Conscientiousness: Process-Oriented
  
  • Demonstrates thoughtfulness, meticulousness, and a strong sense of responsibility.
  • Highly organised, detail-oriented, and adept at managing multiple tasks and deadlines.
  • Proactive in approach with reasonable impulse control.
  • Consistently delivers high-quality results with a strong work ethic.
  • Committed to continuous self-improvement through formal and informal learning opportunities.

Categorisation Details

Industry Type: Health and Wellness Technology
Department: Operations
Employment Type: Full Time, Permanent
Education: Relevant Degree in Business, Data Science or Computer Science
Experience: Minimum 3 years in Operations or Data/Business Analysis or Consultancy See Less