This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description 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. Qualifications - 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. Requirements - Remote - USA Pay Range: $130,000 - $150,000 USD. Benefits - Flexible PTO, with a minimum requirement to take one day off a quarter, ten days a year, promoting mental well-being. - Observance of 11 Federal Holidays, plus an additional day each for Black Friday and Christmas Eve (US employees only). - Health, Dental and Vision Insurance. - 401k with employer match (US employees only). - Coworking space and WFH setup reimbursement. - Company Offsites two times per year for planning, team-building, and networking. Company Description 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.

• Design and manage data pipelines essential for supporting reporting solutions. • Develop innovative dashboards and reporting features to improve customer and user satisfaction. • Establish yourself as the technical authority on the reporting components of our product suite. • Foster collaboration among Agile teams and across functions to promote solution implementation. • Use data and advanced analytical methods to provide actionable insights to stakeholders. • Support a variety of business-aligned projects to meet organizational objectives. • Identify repetitive tasks and partner with team leads to implement scalable automation solutions. • Stay curious about emerging AI tools and how they can streamline or enhance work within your function.

• Build, refine and own Sardine’s internal data infrastructure — integrating CRM, marketing, product, finance, and operational systems into a cohesive, well-modeled data warehouse. • Design, improve, implement, and own ETL/ELT pipelines to ensure clean, reliable, and scalable data flows across the organization. • Partner with data, engineering, revenue/business operations, and executive stakeholders to define and track KPIs, ensuring business decisions are grounded in data. • Serve as the connective tissue between Revenue Operations, Business Operations, and Product/Eng — translating complex requirements into elegant data solutions. • Champion data quality and governance, ensuring our insights are consistent, trustworthy, and well-documented. • Develop dashboards and analytics, when applicable, that provide key insights for executive leadership, GTM, Product, and Finance. • Be proactive and scrappy — spotting opportunities to automate, optimize, and drive better visibility across teams.

• Partner directly with clients to understand their business needs, data challenges, and desired outcomes • Design, build, and maintain production‑grade data models that support client‑specific reporting, analytics, and operational workflows • Develop and maintain dbt models, tests, documentation, and transformation logic as part of broader client solutions • Develop, review and test code (SQL, Python, BI tool like Tableau and PowerBI) • Collaborate with data engineers to ensure upstream data is structured and optimized for downstream use • Translate client requirements into scalable, well‑documented semantic layers • Implement data quality checks, testing frameworks, and governance standards across client projects • Participate in client sessions, including solution design conversations • Contribute to internal best practices, reusable patterns, and accelerators for future client engagements • Report work status to team leaders and participate actively in daily standups • Additional responsibilities as assigned