Job title: Portfolio Data Analyst Reporting to: Credit Portfolio Manager
Location: Cape Town
ALL STAFF APPOINTMENTS WILL BE MADE WITH DUE CONSIDERATION OF THE COMPANY'S EE TARGETS WHAT WE DO Lula is an innovative and human-focused FinTech company on a mission to help small businesses optimise their cash flow. Our purpose is to help SMEs manage their businesses better, faster, and more simply, so they can spend more time doing what they love.
If you're looking for a new place to call 'home' that believes in the potential of the broader SME landscape in South Africa and a place where you'll work with awesome people - then Lula's the place for you!
We're making business banking fast, human, Lula! OUR VALUES 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 OVERALL PURPOSE We are seeking a dynamic and analytical Portfolio Data Analyst to join our team. This role demands a curious and insightful individual with a genuine passion for uncovering meaningful insights within data.
As a valuable member of our Credit Portfolio Management team, your primary objective will be to uncover trends and insights using data from existing data sources as well from reports and compelling visualizations that you will compile for our internal and external stakeholders. This will help us to enhance our monitoring and decision-making on the various unsecured loan products that we offer.
This role will be based in Cape Town and will be hybrid.
As a Portfolio Data Analyst at Lula, your role will involve: Creating new reports that will be used internally and externally, as well as improving existing reportingAggregating data from various sources while maintaining a focus on data integrity, ensuring accuracy in the delivered insightsDiving into data sets to identify, analyse, and interpret trends, presenting actionable insights to support business strategiesCollaborating closely with the Credit Underwriting and Collections Teams, as well as with Finance, Business Development and Sales DepartmentsRegularly interacting with internal stakeholders, keeping them informed and engaged with the latest data-driven insights to support their decision-makingCommunicate findings effectively through visually appealing reports and presentations, translating complex data into actionable insights for stakeholdersInvestigating and resolving data issues by effectively liaising with appropriate business and tech teams, ensuring data accuracy and reliabilityCollaboratively analysing and problem-solving, fostering a team-oriented approach to data analysis within the organisationTHE COMPETENCIES WE'RE AFTER Strong analytical skills, enabling you to source, organise, and analyse substantial amounts of information with precision and attention to detailAbility to quickly and accurately analyse data, meeting reasonable deadlines while maintaining high-quality outputExceptional communication skills, both verbal and written, to effectively present findings and insights to various stakeholdersCreative thinking ability to unearth valuable insights from data and drive strategic decision-makingAbility to thrive in a team environment and work collaboratively, as well as independently, to drive impactful data analysisTHE SKILLS AND EXPERIENCE WE'RE LOOKING FOR Matric/ Grade 12 achievedUniversity degree or equivalent, preferably in Commerce, Engineering or ScienceDemonstrated work experience in data analysis and reporting within financial servicesStrong 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 abilitiesAny credit risk experience would be advantageous, as well as working with Power BI, Mixpanel and PythonPlease note that all appointments are subject to our background checking process, which may include Credit, Criminal and any other job inherent checks.
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