Location
Dublin, London
Employment Type
Full time
Location Type
Hybrid
Department
Technology
Data
Overview
Our mission is to give the world access to the best products by empowering great brands to reach their growth potential. Wayflyer provides flexible funding and actionable insights to growing eCommerce and wholesale consumer brands.
We solve the biggest challenge for these brands: access to working capital that keeps pace with their growth ambitions. Traditional options are often too slow, restrictive, or inaccessible.
Our unique technology assesses businesses rapidly, generates tailored funding offers, and deploys capital quickly (often within 24 hours).
Since launching in April 2020, we’ve deployed over $4.5bn to thousands of brands worldwide, backed by leading institutions like J.P. Morgan.
We’re proud partners to exciting brands like True Classic, Little Words Project, and Kekoa Foods.

WHAT WE’RE LOOKING FOR: KNOWLEDGE, SKILLS & EXPERIENCE

• Experience: 6+ years of experience in data analytics, business intelligence, or analytics engineering, with at least 2+ years of proven experience managing and leading analytical teams.
• Leadership: Demonstrated ability to build, mentor, and motivate high-performing technical teams, with a willingness to engage deeply in technical challenges alongside the team. Experience setting team direction and managing priorities.

THE OPPORTUNITY: WHY THIS ROLE?

Wayflyer is rapidly expanding, launching new products, developing new partnerships, and exploring channels to provide funding to more businesses, including those beyond traditional e-commerce. As our Data Analytics Manager, you’ll be at the heart of this evolution, shaping the insights that drive our strategic decisions across these new frontiers. We are looking for a technical manager who is not afraid to get hands-on and delve into the details with their team. You will lead and empower a talented team of 6+ Analytics Engineers and Data Analysts, responsible for transforming complex data into actionable intelligence.

This is a critical role where you will:

• Drive Impact: Directly influence key business areas like risk assessment, product development, customer growth, and operational efficiency through data-driven insights, supporting our expansion efforts.
• Build & Scale: Own and evolve our modern data stack (centred on Snowflake and dbt), ensuring our analytics capabilities scale with Wayflyer’s rapid growth and diversification.
• Lead & Mentor: Develop a high-performing team, fostering a culture of technical excellence, collaboration, and continuous learning within the data function.
• Shape Strategy: Define and execute the roadmap for analytics, ensuring tight alignment with Wayflyer’s core objectives and becoming a trusted advisor to leadership.

KEY RESPONSIBILITIES

• Team Leadership: Lead, coach, and mentor a team of Analytics Engineers and Data Analysts, promoting individual development and maximizing team impact. Define roles, responsibilities, and career paths within the team.
• Strategic Roadmap: Develop, own, and execute the strategic roadmap for data analytics and business intelligence, prioritising initiatives that deliver maximum value to Wayflyer.
• Technical Oversight & Data Platform: Oversee the architecture, development, and maintenance of our analytics infrastructure, including our Snowflake Data Warehouse and our dbt-centric transformation layer. Ensure data quality, governance, scalability, and performance.
• Insight Generation & Delivery: Partner closely with stakeholders across Product, Risk, Sales, Marketing, and Operations to understand their needs, translate them into analytical requirements, and deliver actionable insights through reports, dashboards, and deep-dive analyses.
• Best Practices & Process Optimisation: Champion and implement best practices in analytics engineering, data modelling, data governance, testing, and documentation to improve data reliability and team efficiency.
• Stakeholder Management & Communication: Act as a key data evangelist across the company. Clearly articulate complex findings, analytical approaches, and strategic recommendations to diverse audiences, including functional leaders (VPs) and C-level executives (CTO, CBO, CFO, etc.).