Pricing Analytics Architect – Fintech Foundation
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Job Description
Data Architect driving AI-powered analytics platforms for fintech startup. Collaborating with internal teams and optimizing pricing models for customer demand.
Responsibilities:
- Architect and build production-ready, self-service dashboards, and automated analytical tools, integrating core AI/ML features to improve access and deliver novel insights and diagnostics.
- Lead the data quality and data architecture roadmap for the Fintech Foundation team's reporting systems, ensuring high fidelity and trusted data for all internal and partner-facing analytics.
- Act as the primary technical point of contact for internal business stakeholders, translating complex analytical needs into technical specifications and managing the feature backlog for the analytics platform
- Grow use of our data platform through documentation, training, and a strong push towards self-service.
Requirements:
- Deeply curious with strong problem-solving ability, critical thinking, and attention to detail.
- Proven experience in architecting and implementing self-service business intelligence (BI) solutions or data products.
- Highly quantitative with advanced hands-on experience in SQL and data architecture/modeling
- Strong understanding of financial metrics, data quality principles, and reporting tools like Looker or Tableau.
- Excellent communication, presentation, and stakeholder management skills with a strong technical PM slant.
Benefits:
- Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages.
- Carrot Cash travel stipend
- Flexdesk All Access Pass & Work-from-home stipend
- Entrepreneurial culture where pushing limits and taking risks is everyday business
- Open communication with management and company leadership
- Small, dynamic teams = massive impact
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