Analytics Engineer

Who we are

Sardine is a leader in fraud prevention and AML compliance. Our platform leverages device intelligence, behavior biometrics, machine learning, and AI to proactively stop fraud. Over 300 banks, retailers, and fintechs globally trust Sardine to combat identity fraud, payment fraud, account takeovers, and social engineering scams. We have successfully raised $145M from renowned investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.

Our culture

With hubs in the Bay Area, NYC, Austin, and Toronto, Sardine proudly maintains a remote-first work culture. We embrace a #WorkFromAnywhere philosophy, hiring talented, self-motivated individuals who demonstrate extreme ownership and a high growth orientation. We prioritize performance over hours worked, understanding that work-life balance is crucial for our team members.

Location

India-Remote: Work from Home, Beach, Mountain, Cafe, or Anywhere! As a remote-first company with a globally distributed team, you have the flexibility to choose your most productive work environment.

About the Role

We are seeking an Analytics Engineer to spearhead the development of Sardine’s internal data platform. This critical role involves connecting and integrating all GTM, product analytics, and business data sources into a single, scalable system designed to drive insights and decision-making across the entire company.

Data accessibility and consistency are paramount for Sardine’s growth. This high-impact position is central to our mission, directly owning the design and architecture of the core data foundation that empowers our executive team, revenue operations, finance, product, and customer-facing teams to make faster, more informed, data-driven decisions.

This is a highly technical role for someone passionate about data architecture and business context, who is also eager to tackle hands-on implementation challenges.

What you’ll be doing

• 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/Engineering, translating complex requirements into elegant data solutions.
• Champion data quality and governance, ensuring 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.

What you’ll need

• 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 find answers without waiting for direction.
• Comfortable working in a fast-paced environment and prioritizing 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.

Compensation & Benefits

We offer a base pay range of INR 34,00,000 - 50,00,000, plus equity with tremendous upside potential and attractive benefits. Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.

• Generous compensation in cash and equity
• Early exercise for all options, including pre-vested
• Work from anywhere: Remote-first Culture
• Flexible paid time off and Year-end break
• Health insurance, dental, and vision coverage for employees and dependents (US and Canada specific)
• 4% matching in 401k / RRSP (US and Canada specific)
• MacBook Pro delivered to your door
• One-time stipend to set up a home office — desk, chair, screen, etc.
• Monthly meal stipend
• Monthly social meet-up stipend
• Annual health and wellness stipend
• Annual Learning stipend

Key skills/competency

• Data Platform Development
• ETL/ELT Pipeline Design
• Data Architecture
• SQL Expertise
• Python Automation
• Modern Data Stack (dbt, Fivetran)
• Data Visualization (Sigma, Looker)
• Stakeholder Management
• Data Governance
• Fraud Prevention Analytics