Data analyst
📝 Company Mission
Our mission is to give the world access to the best products by empowering great brands to reach their growth potential. 💼 About Wayflyer Today's consumer brands need a capital provider that keeps pace with their growth ambitions. Traditional financing options are slow, cumbersome and often out of reach. That's why we built Wayflyer. Our unique technology allows us to assess businesses in minutes, generate financing offers that reflect their growth potential and send funds in as little as 24 hours. Since launching in April 2020, we've deployed over $4.5bn to thousands of brands worldwide, backed by Tier 1 banks like J.P. Morgan. We've become a trusted financing partner for some amazing brands, like True Classic, Little Words Project and Kekoa Foods. Teams at Wayflyer are truly cross-functional. You'll be collaborating with ambitious colleagues from around the world - all striving to deliver on a huge opportunity. Check out this video to hear directly from them. 💛 Culture & Values at Wayflyer At Wayflyer, we value being sound people, excellent operators, and ambitious overachievers, working together with integrity, creativity, and bold optimism to deliver exceptional results. To learn more, please visit our website. 🚀 Your Role at a Glance: The key ways you'll bring value to the team- Run experiments and conduct analysis so that we can reliably measure the impact of changes we make to our products
- Leverage Python to uncover and surface insights from large data sets to cross-functional teams.
- Design and develop automated reports using SQL, Tableau and Omni to surface insights to the entire 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.
- Effectively communicate results, insights and data-driven narratives across the business.
- Experience: You have 3+ years experience in a data analyst role, ideally developing data pipelines and automating end to end data processes.
- You have worked in a fast-paced consultancy or tech startup
- You have excellent communication, organisation and prioritisation skills, and have a strong ability to deliver results in a fast-paced environment.
- You have a degree in a technical field such as engineering, mathematics, statistics, economics, finance or science
- Technical Expertise:
- You are proficient using SQL, Python and Tableau (or other data visualisation tools) and have the ability to learn new skills quickly.
- You are a story-teller who can effectively interpret and communicate the insights derived from your analysis.
- You communicate effectively and work well within cross-functional teams
- Experience in FinTech or eCommerce domains.
- Experience with SQL and data visualisation tools like Tableau, Looker.
- Familiarity with data orchestration tools (e.g., dbt, Airflow, Dagster)
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