Analytics Engineer
Xendit provides payment infrastructure across Southeast Asia, with a focus on Indonesia and the Philippines. We process payments, power marketplaces, disburse payroll and loans, provide KYC solutions, prevent fraud, and help businesses grow exponentially. We serve our customers by providing a suite of world-class APIs, eCommerce platform integrations, and easy to use applications for individual entrepreneurs, SMEs, and enterprises alike.
Our main focus is building the most advanced payment rails for Southeast Asia, with a clear goal in mind — to make payments across in SEA simple, secure and easy for everyone. We serve thousands of businesses ranging from SMEs to multinational enterprises, and process millions of transactions monthly. We’ve been growing rapidly since our inception in 2015, onboarding hundreds of new customers every month, and backed by global top-10 VCs. We’re proud to be featured on among the fastest growing companies by Y-Combinator.
The Role
As an Analytics Engineer, you’ll be part of a central data team supporting a range of merchant-, end-user- and internal-facing product and operational teams. We provide centralised infrastructure, analysis and insights for these teams and the broader organisation. The data pipelines, models and metrics you define will be leveraged by data consumers at all levels to make decisions about the direction of the organisation and of products or initiatives within it.
Outcomes
Responsibilities:
- Engage with product and operational stakeholders to discover data capture, ELT, and foundation layer data modelling requirements.
- Write production ready code that follows software engineering best practices.
- Contribute to development of metadata codifying ownership, lineage and definitions.
- Identify opportunities and implement solutions to improve performance of common queries running on data models you create.
- Contribute to libraries, templates and/or macros that abstract common transformation tasks.
- Detect and respond to data quality issues.
- Conduct formal training that drive increased engagement with data and capability in analysis by data owners and consumers across the organisation
- Contribute to Xendit’s data community, sharing best practice and learnings.
- Do whatever it takes to make Xendit succeed.
What we’re looking for
Behaviors
You may be a good fit if you:
- Are comfortable working 1-1 with stakeholders to gather requirements.
- Can balance the big picture thinking and thoughtful planning with rapid technical execution, utilising tools and automation where the cost-benefit trade-off is valuable.
- Are passionate about detail and documentation but can compartmentalise so that your perfectionism doesn’t block your progress.
- Are a proactive individual who can structure your own work and independently drive towards agreed objectives.
- Pick up new skills quickly using a combination of reading and self-exploration.
- Prioritise communicating early and often, preferring to iterate on the concepts before diving into the detailed implementation.
Experience
- Have ~4 years working experience in a full stack data analyst/scientist role or as a business-minded data engineer.
Relevant Skills
- Have strong SQL and Python skills.
- It is advantageous if you:
- Are familiar with Git, CI/CD, and software engineering best practices.
- Have first-hand experience of being affected by and solving for data quality.
- Have experience with the “modern data stack” (Not prescriptive but may include names like dbt, Airflow, Spark, Databricks, Looker, Amundsen, GreatExpectations).
