Key skills
Data EngineeringAnalytics EngineeringBusiness IntelligenceData IntegrationSalesforceHubspotBigQuerySnowflakePythonSQLModern Data StackdbtFivetranAirflowData VisualizationSigmaLookerTableauStakeholder ManagementBias toward actionETLELTAnalyticsSaaSCRMLeadershipCommunication
About this role
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 connecting and integrating various data sources to drive insights and 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
- 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