Analytics Engineer

Who we are

We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.

• We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #Work From Anywhere
• We hire talented, self-motivated individuals with extreme ownership and high growth orientation.
• We value performance and not hours worked. We believe you shouldn t have to miss your family dinner, your kid s school play, friends get-together, or doctor s appointments for the sake of adhering to an arbitrary work schedule.

• Remote-India
• From Home / Beach / Mountain / Cafe / Anywhere!
• We are a remote-first company with a globally distributed team. You can find your productive zone and work from there.

We’re looking for a Analytics Engineer to lead the development of Sardine’s internal data platform — connecting and integrating all of our GTM, product analytics, and business data sources into a single, scalable system that drives insights and decision-making across the company.

Data accessibility and consistency are critical to Sardine’s business and next stage of growth, and this is a high-impact role at the center of our mission. You’ll be directly responsible for designing and owning the core data foundation and architecture that enables our executive team, revenue operations, finance, product, and customer-facing teams to make better, faster, data-informed decisions.

This is a high-impact, and highly technical role for someone who loves both data architecture and business context — and isn’t afraid to roll up their sleeves to make things work.

• 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.

• 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, Big Query/Snowflake, Amplitude, Sigma, Clay, etc.
• Experience with Python for automation and API integrations.
• Exceptional SQL skills and experience building with a modern data stack (Big Query, 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.
• Bonus Points for:
  • Exposure to product analytics tools (Segment, Amplitude, Mixpanel).
  • Experience in enterprise B2B SaaS or high-growth startup environments.

Base pay range of INR 34,00,. + Equity with tremendous upside…