Analyst, Jaja

• A degree in a quantitative field like Economics, Mathematics, Statistics, Business or Computer Science
• 1+ years of experience in an analytical role, which could be in sectors different from Financial services; Lending or Risk experience is a bonus, Credit Card experience is a plus
• Experience using snowflake to extract and manipulate data
• Good coding skills, and knowledge of databases including MySQL and AWS desirable
• The ability to prioritise workloads and manage time effectively
• Ability to interact and work alongside stakeholders internally and externally to the core team
• You are execution focused and love rolling up your sleeves to get it done - you are hands-on, proactive and take solutions / process orientated approach to your work
• You are self-motivating and can switch between working independently to collaborating as a team with ease
• What we’re doing at Jaja excites you!

Desirable

• We’re looking for a focused professional that is ready to lead by example and roll up their sleeves to get things done, replacing start-up chaos with structure, confidently flipping questions into solutions and working with the team to join us as an Analyst
• Deepen Existing Customer relationships to drive positive customer engagement, improve profitability, and reduce losses
• Run credit, pricing and marketing strategies to achieve this goal
• Deliver these strategies by using Python/R/SQL, to manipulate and analyse data on a day to day basis, working at the cutting edge of analytical and statistical techniques
• Promote a test-and-learn approach, constantly challenging existing strategies and processes to find better outcomes
• Providing the business with data-based insight and recommendations for changes and improvements, and see those all the way through to implementation on a wide range of things including: credit limit management, promotional campaigns, customer life cycle management including support to collections strategies/operations, as well as general portfolio management
• Utilise big data across multiple sources to enhance our relationships with our customers
• Work closely with colleagues across the Company to provide insightful analytics on ad-hoc queries and deliver a wide range of projects