Responsibilities
1. 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.
2. Strategic Roadmap: Develop, own, and execute the strategic roadmap for data analytics and business intelligence, prioritising initiatives that deliver maximum value to Wayflyer.
3. 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,ernance, scalability, and performance.
4. 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.
5. Best Practices & Process Optimisation: Champion and implement best practices in analytics engineering, data modelling, dataernance, testing, and documentation to improve data reliability and team efficiency.
6. Stakeholder Management &munication: Act as a key data evangelist across thepany. Clearly articulateplex findings, analytical approaches, and strategic rmendations to diverse audiences, including functional leaders (VPs) and C-level executives (CTO, CBO, CFO, etc.).
What We're Looking For: Knowledge, Skills & Experience
7. 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.
8. 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.
9. Technical Expertise:
Deep proficiency in SQL forplex 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 (, Tableau, Omni, Looker, Power BI).
10. Strategic & Business Acumen: Ability to understand business challenges, translate them into data problems, and develop analytical solutions and strategic rmendations.
11. Collaboration: Proven track record of effective cross-functional collaboration, building strong relationships with technical and non-technical partners.
12. Excellent verbal, written, and presentation skills, with the ability to conveyplex technical concepts effectively to senior leadership and executive stakeholders.
13. Adaptability: Experience thriving in a fast-paced, high-growth environment. You arefortable with ambiguity and changing priorities.
14. Bonus Points:
Experience in FinTech or merce domains. Experience with Python for data analysis (Pandas, NumPy). Familiarity with data orchestration tools (, Airflow, Dagster). Experience setting up data quality monitoring and alerting.
Job ID KBJ5skyJSiWs