Analytics Engineer

Sardine is a leader in fraud prevention and AML compliance, seeking an Analytics Engineer to lead the development of their internal data platform. This role is crucial for integrating various data sources into a scalable system that supports data-informed decision-making across the company.

Responsibilities:

• Build, refine and own Sardine’s internal data infrastructure — integrating CRM, marketing, product, finance, and operational systems into a cohesive, well-modeled data warehouse
• Partner closely with the Security and Infrastructure teams on the security architecture of our internal data warehouse to ensure robust data protection, access controls, and compliance standards are upheld
• 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

Requirements:

• 5+ years of experience in data engineering, analytics engineering, or business intelligence, ideally supporting GTM or business functions
• Proven ability to manage data integrations across various platforms such as Salesforce, Hubspot, BigQuery/Snowflake, Amplitude, Sigma, Clay, etc
• Experience with Python for automation and API integrations
• Exceptional SQL skills and experience building with a modern data stack (BigQuery, dbt, Fivetran, Airflow, etc.)
• Expertise in building, maintaining and refining scalable data visualization solutions (Sigma, Looker, Tableau, etc.)
• Excellent communication and stakeholder management skills — able to partner effectively with executives and non-technical teams
• A bias toward action and ability to thrive in ambiguity — you don't wait for direction; you find the answers
• Comfortable working in a fast-paced environment and ability to prioritize across strategic and tactical initiatives
• Exposure to product analytics tools (Segment, Amplitude, Mixpanel)
• Experience in enterprise B2B SaaS or high-growth startup environments