Senior Data Analyst - Finance
Dublin
Wayflyer
Wayflyer provides financing to consumer brands. Apply in minutes, access financing in hours. Create an account to get a financing offer today.About Wayflyer
Our mission is to empower eCommerce stores to unlock their full potential. Join us!
Wayflyer is revolutionising eCommerce by levelling the playing field for founders across the world. Our first product, the Merchant Cash Advance, solves a major pain point for brands: access to short-term finance to fund inventory and marketing spend.
Since launching in April 2020, we’ve deployed over $1.5bn in funding to 1,000’s of eCommerce founders across 10 countries.
We’ve helped companies like Wild, Dock & Bay and Branch take their businesses to the next level. Check out this video from Davie Fogherty, another one of our brilliant customers, giving a great explanation of what we do and how we helped The Oodie go from strength to strength.
We’re a fast-growing, venture-backed startup that serves a critical need for eCommerce entrepreneurs. You'll be joining an ambitious, collaborative team that's working on a huge opportunity.
We announced our Series B in February 2022 raising $150m in funding at $1.6bn valuation; backed by world-leading VCs including QED and DST Global.
Teams at Wayflyer are truly cross-functional. Regardless of your role at Wayflyer, you'll work with a variety of different disciplines and teams from around the world on a multitude of challenging projects and game-changing products to revolutionise the eCommerce landscape.
Why this role?
This role sits within the Data Analytics team supporting the Finance team with portfolio and risk analytics to support strategic decision making.
As a senior data analyst you will be a key contributor to this work by creating analysis, testing hypotheses, designing experiments and surfacing insights & recommendations to leaders across the business.
What you'll do
Develop and implement analytics and reporting to monitor portfolio performance, identify trends, and assess risk factors.
You will present complex financial data in an understandable format, making it accessible for stakeholders at all levels.
Develop critical workflows for transforming, visualising, and extracting value from financial and portfolio data.
Design and develop automated reports using SQL and Tableau to surface insights to the entire business.
Effectively communicate results, insights and data-driven narratives across the business.
Contribute to and maintain a high quality codebase, ensuring code is well written, well tested and re-usable
Build reliable data pipelines and systems to improve, automate and scale our current business processes.
Mentor other Data Analysts within your team to ensure we are growing our skill base across the Data Function
Knowledge, skills and experience
You have several years experience working as a data analyst in a financial institution or similar working with loan portfolios performing detailed analysis, using modern statistical methods, to uncover insights in the data.
You have a strong understanding of quantitative finance and can apply your knowledge in a practical way
You have excellent communication, organisation and prioritisation skills, and have a strong ability to deliver results within tight timelines.
You are proficient using SQL, Python and Tableau (or other data visualisation tools) and have the ability to learn new skills quickly.
You are comfortable working with large datasets and are familiar with modern data stacks and tooling.
You are a story-teller who can effectively interpret and communicate the insights derived from your analysis.
You have a passion for startups and online businesses (these are our customers!). Prior experience working as part of a growth-focused team is a plus.
What is important to point out is that you can do most or all of the above mentioned and can point to your real experience doing it. You’ve probably done it at companies of different shapes, sizes and industries. Given what we do, experience in financial services, fintech and business-to-business organisations is particularly interesting to us.
On top of that, you’re amazing at prioritisation. You make sure you’re not spread too thin while also giving teams the support they need. You spend your time on the things that make a positive difference. People get why you’ve chosen to say ‘yes’, ‘no’, or ‘not yet’, and are ok with it.
What you’re like as a person and how you treat people is a big deal for us. People love working with you. You’re helpful and generous with your time and knowledge. People love helping you back. People know where they stand with you.
You’re always looking to learn and grow, on a personal and professional level. And you’re always looking to help others learn and grow by sharing your own knowledge and experience.
You know why diversity, equality, inclusion and belonging matters, and speak up when we can do better.
What happens next
We’ll review and respond to every application we receive. If we’re interested in taking your application further, we will be in touch to find out more about you and what you’re looking for.
What perks and benefits do we offer?
Equity scheme
Private healthcare
Generous paid leave + public holidays
Home working equipment
Supportive parent policies
Flexible working
Offices in Dublin, London, and Sydney
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data Analytics Data pipelines E-commerce Finance FinTech Pipelines Python SQL Statistics Tableau Testing
Perks/benefits: Career development Flex hours Flex vacation Startup environment
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