Data Analyst, Chip

• This is a unique opportunity for an ambitious and talented self-starter, who thrives in a fast-moving scale-up environment, working closely with our CEO, SVP Finance, Head of FP&A and other key stakeholders
• The ideal candidate is highly analytical with a background in Data & Analytics (Finance is a plus)
• You will have 1-2 years experience, be comfortable manipulating large datasets, and have ability to code in Python and SQL
• We are looking for someone who can work independently, think strategically and take ownership of analysis to generate valuable insights across Finance, Commercial and Operational domains
• A strong numerical degree (2:1 or above) in mathematics, engineering, computer science, finance or another related technical discipline or equivalent practical experience
• 1-2 years experience in a Data & Analytics role, preferably within Financial services
• Excellent Excel and SQL skills, and proficiency in Python, PowerBI and other BI tools
• Ability to manipulate large datasets, build dashboards and analyse results
• Ability to translate problems into technical requirements and implement solutions
• Ability to take ownership of projects and enjoy working in a fast moving FinTech
• Someone with a genuine interest in Chip and is excited about being part of a fast-growing company and our mission to build the investment super app of the future
• We want a real person, with interests outside of work, to join our team

Desirable

• We’re looking for a Data Analyst to deep dive into our data and generate insights that will inform critical financial and strategic decisions
• Use SQL to code and query the database in order to provide inputs for key business and financial models
• Clean, validate and transform large datasets, ensuring data integrity and readiness for analysis and reporting
• Analyse large datasets to provide insights for the company and answer complex problems
• Build and maintain dashboards (using PowerBI) for management to to track real-time performance, growth, unit economics, KPIs and other metrics
• Strategic thinking using a data-led approach to recommend key business decisions
• ⏰ Working Hours ⏰
• Monday to Thursday: 9:00 AM – 6:00 PM
• Friday: 8:00 AM – 4:00 PM (Start your weekend early!)
• Enjoy a structured yet balanced workweek, with an early Friday finish to kickstart your weekend!

• We usually respond within three days
• At the interview stages, we will be looking for empathy, eq, fun stories, and the ability to smile even when things are tough
• Video screen with someone from our Talent team
• Video interview & tech pairing session with the hiring manager
• Final interview with Head of Operations