Kard is transforming customer loyalty with our rewards-as-a-service API platform. We empower our partners, from neobanks to financial institutions and beyond, to offer tailored rewards that celebrate customers' daily transactions. Backed by $30M from industry-leading investors and seasoned experts, we are reshaping the future of customer engagement.

About the Role

As a Senior Analytics Engineer at Kard, you will be the go-to expert for turning data into impactful business intelligence tools and visualizations. You'll leverage your strong SQL, dbt, and visualization skills to build dashboards, reports, and analytics solutions that empower our go-to-market teams and external merchant partners to make data-driven decisions. You'll spend most of your time on BI work—designing intuitive visualizations and translating complex data into clear, actionable insights—while collaboratively maintaining and growing an existing foundation of well-structured, reusable data models. This position is ideal for someone who loves the craft of building useful, beautiful data products with an eye toward long-term sustainability, all while embodying Kard's values of initiative, humility, and openness.

Responsibilities

• Data Infrastructure and Analytics Engineering: Build and maintain robust data models using dbt, ensuring data accuracy and accessibility across the organization through automated processes and improved data quality checks.
• Business Intelligence and Reporting: Design and migrate dashboards and reports to modern BI tools like Count, translating complex data requirements into clear visualizations that support merchant and issuer success.
• Merchant and Issuer Analytics: Develop analytical frameworks for merchant segmentation, performance metrics, and campaign measurement, providing insights that drive strategic decisions and optimize partner relationships.
• Cross-Functional Collaboration: Partner with sales, account management, and product teams to understand data needs, scope technical solutions, and deliver analytics that directly support revenue growth and operational efficiency.
• Technical Leadership and Process Improvement: Lead pitch development and technical investigations, identifying opportunities to improve data workflows, reduce costs, and enhance the scalability of analytics infrastructure.

Desired Skills

• Strong proficiency in SQL, with a preference for Databricks experience.
• dbt familiarity
• Demonstrated expertise in BI visualization tools
• Proficiency in Python, with a preference for PySpark experience.
• Exceptional communication skills with the ability to translate complex data insights into compelling narratives for non-technical stakeholders.
• A strategic thinker with a product mindset, capable of understanding and aligning data insights with broader business objectives, while proactively addressing the details.
• Humility and openness, with the ability to seek out, learn from, and adapt to diverse perspectives, achieving the best outcomes.