Portfolio Data Analyst
Lula
- Cape Town, Western Cape
- Permanent
- Full-time
- Collaborative - we're a clan and work together as a team, always towards a common goal
- Committed - we're accountable and follow through no matter the challenge
- Curious - we look for better ways to do things and make a positive difference
- Connected - we stay close to, learn from and look to understand each other and our customers
- Compassionate - we go out of our way to care about our colleagues, our customers and our community\
- Creating new reports that will be used internally and externally, as well as improving existing reporting
- Aggregating data from various sources while maintaining a focus on data integrity, ensuring accuracy in the delivered insights
- Diving into data sets to identify, analyse, and interpret trends, presenting actionable insights to support business strategies
- Collaborating closely with the Credit Underwriting and Collections Teams, as well as with Finance, Business Development and Sales Departments
- Regularly interacting with internal stakeholders, keeping them informed and engaged with the latest data-driven insights to support their decision-making
- Communicate findings effectively through visually appealing reports and presentations, translating complex data into actionable insights for stakeholders
- Investigating and resolving data issues by effectively liaising with appropriate business and tech teams, ensuring data accuracy and reliability
- Collaboratively analysing and problem-solving, fostering a team-oriented approach to data analysis within the organisation
- Matric/ Grade 12 achieved
- University degree or equivalent, preferably in Commerce, Engineering or Science
- Demonstrated work experience in data analysis and reporting within financial services
- Strong Excel skills – including the use of pivot tables, and functions such as Vlookup, nested If's, etc.
- Strong SQL skills – proficiency in writing and debugging SQL, with experience in functions, tables, views, etc.
- Strong numerical abilities
- Any credit risk experience would be advantageous, as well as working with Power BI, Mixpanel and Python
- Strong analytical skills, enabling you to source, organise, and analyse substantial amounts of information with precision and attention to detail
- Ability to quickly and accurately analyse data, meeting reasonable deadlines while maintaining high-quality output
- Exceptional communication skills, both verbal and written, to effectively present findings and insights to various stakeholders
- Creative thinking ability to unearth valuable insights from data and drive strategic decision-making
- Ability to thrive in a team environment and work collaboratively, as well as independently, to drive impactful data analysis