Data Analytics Manager
3 weeks ago
Our mission is to empower great brands to reach their growth potential by giving them access to the best products.
We provide flexible funding and actionable insights to growing eCommerce and wholesale consumer brands, solving the biggest challenge they face: 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.
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.
The Opportunity: Why This Role?Wayflyer is rapidly expanding, launching new products, developing new partnerships, and exploring channels to provide funding to more businesses. 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.
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.
- Team Leadership: Lead, coach, and mentor a team of Analytics Engineers and Data Analysts, promoting individual development and maximizing team impact.
- 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.
- 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.
- 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 articulating complex findings, analytical approaches, and strategic recommendations to diverse audiences.
- 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.
- Technical Expertise:
- Deep proficiency in SQL for complex querying and data manipulation.
- Extensive hands-on experience designing, building, and maintaining data models and transformation pipelines using dbt.
- Strong understanding of modern data warehousing concepts and practical experience with cloud data warehouses, specifically Snowflake.
- Proficiency with data visualization tools.
- Strategic & Business Acumen: Ability to understand business challenges, translate them into data problems, and develop analytical solutions and strategic recommendations.
- Collaboration: Proven track record of effective cross-functional collaboration, building strong relationships with technical and non-technical partners.
- Communication: Excellent verbal, written, and presentation skills, with the ability to convey complex technical concepts effectively to senior leadership and executive stakeholders.
- Adaptability: Experience thriving in a fast-paced, high-growth environment, comfortable with ambiguity and changing priorities.
- Bonus Points:
- Experience in FinTech or eCommerce domains.
- Experience with Python for data analysis.
- Familiarity with data orchestration tools.
- Experience setting up data quality monitoring and alerting.
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