Senior Analytics Engineer

1 week ago

Singapore MAX NOW PTE. LTD. Full time
Roles & Responsibilities

Job Title: Senior Analytics Engineer

Location: Singapore (Hybrid/Remote options available)

Type: Full-time

Experience Level: 5+ years

Team: Data & Analytics

About HeyMax

HeyMax is building Asia's most rewarding platform for travelers — an open-loop rewards ecosystem that turns everyday spending into travel perks. With 150,000+ users, we help people earn "Max Miles" that can be transferred to 27+ airline and hotel programs, or redeemed for gift cards. Backed by leading investors and driven by a small, high-caliber team, we're reimagining loyalty for the next generation of travelers.

The Opportunity

We're hiring our first Senior Analytics Engineer — a software engineer who's passionate about building with data. This is a foundational role where you'll help architect our data platform from scratch, working across our backend systems and analytical layers to make data reliable, accessible, and actionable for the whole company.You'll work closely with leadership, engineering, and product to define the metrics and models that drive HeyMax forward. Expect full ownership, high impact, and the opportunity to leave your fingerprints on everything from infrastructure choices to business logic.

What You'll Do

  • Design and implement our modern data stack from the ground up — likely including BigQuery, dbt, Databricks, and Fivetran, with orchestration tools like Airflow or n8n
  • Build well-tested, maintainable, and scalable data models to support self-serve analytics and operational use cases
  • Partner with engineers to instrument meaningful product events and ship reliable pipelines
  • Write clean, modular SQL and Python code, and apply software engineering best practices (version control, CI/CD, testing, code reviews)
  • Help define metrics and core business logic across product, growth, ops, and finance
  • Establish data governance, documentation, and access practices as we scale
  • Make architectural calls that will influence the next billion rows of data

Who You Are

  • 5+ years of experience in analytics engineering, data engineering, or software engineering roles focused on data
  • Strong software fundamentals and comfort working across SQL, Python, and cloud data platforms
  • Deep experience with dbt, BigQuery or Databricks, and data transformation at scale
  • You treat analytics engineering like software engineering — clean abstractions, test coverage, and clear documentation matter
  • Comfortable working in ambiguous environments and navigating across different codebases and teams
  • Passionate about enabling teams through data and making complex systems intuitive to work with

Why Join Us

  • Founding scope – Architect our data stack and shape how data is used across the business
  • High agency, real ownership – You'll have autonomy, influence, and a seat at the table
  • Technical depth meets business impact – You'll solve tough infra and modeling problems that directly drive growth
  • Great team – Work with ex-Grab, Google, Facebook, and Bain folks who care deeply about doing great work
  • Flexible setup – We're open to remote and hybrid arrangements for the right person
Interested?
Reach out with your resume, GitHub, or anything that shows your work:
Tell employers what skills you have
Version Control
Leadership
Airflow
Data Analysis
Autonomy
Big Data
Pipelines
Data Transformation
Software Engineering
Data Governance
Data Engineering
SQL
Python
Data Science
Visualization
Orchestration
Data Analytics
Databases
Data Visualization

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