• Our analytics engineering team ingests, transforms, models, and aggregates the data that empowers teams across Amplify and our customers to make sense of and tell stories with their data. • You’ll be working with data scientists, data analysts, and data engineers to provide clean, accurate, reliable models and metrics for our products and internal business partners. • Impress the toughest customers around – students – by building the analytical models which drive the design cycle for fun and compelling apps, helping them understand their students by building modular data models • Help school administrators build great schools by: respecting privacy and ensuring security while offering useful insights by making inquisitive choices in tech stack, database design, masking policies, and encryption helping school principals understand how teachers are teaching and how students are learning by architecting data warehouse schemas and SQL transforms with just the right CTEs, window functions, and pivots • Analyzing performance and squashing tricky bugs using tools like Fivetran, Snowflake, Airflow, DBT, SQL, Python, Looker and Tableau. • Make life better for passionate, Marketing and Sales teams by building cohesive, common data marts from ERP and CRM source systems like Salesforce, Netsuite and HubSpot • Learn every day by: immersing yourself in agile rituals and leveraging our infrastructure collaboration, pull request-ing, CI/CD processes and mentoring on a multi-functional team participating in cross-team share-outs, brownbags, and workshop series

• This role will help the team to design, set up, and monitor the data ecosystem that's needed to support the modeling needs. • Tasks include, but not limited to, setting up data pipelines and design efficient data storage solutions.

• Design, implement, and optimize dbt models that transform raw event- and entity-level data into analytics-ready datasets. • Own and evolve data domains that support reporting across Khan Academy. • Develop, document, and test semantic and reporting layers in Looker (LookML). • Partner with Analysts to establish consistent metric definitions, reusable data patterns, and shared governance practices. • Drive data modeling standards and champion best practices in naming, testing, and schema design. • Diagnose and resolve complex data issues, coordinating across Data Infrastructure and Engineering when needed. • Mentor Analytics Engineers and Analysts, providing feedback through code reviews and technical guidance. • Collaborate with cross-functional teams to identify opportunities to improve data accessibility and reliability.

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.