Senior Analytics Engineer

Goodnotes; Singapore; Hybrid; SGD 80,000 - 120,000; Full time

Job summary

A leading tech startup in Singapore is looking for an experienced Analytics Engineer to join their Insights team. The role involves collaborating with product and engineering teams, transforming scattered data into reliable datasets, and building intuitive data models. Candidates should have over 7 years of experience in analytics or data engineering, strong skills in SQL and Python, and familiarity with modern data tools. Flexible working hours and meaningful benefits are offered.

Benefits

Meaningful equity

Budget for home office setup

Sponsored office visits

Company-wide annual offsite

Flexible working hours

Medical insurance

Qualifications

• 7+ years of experience in analytics engineering or equivalent roles.
• Strong SQL and Python skills with experience in large datasets.
• Experience with ELT/ETL pipeline tools.

Responsibilities

• Transform messy data into analysis-ready datasets.
• Collaborate with teams to define tracking and data modeling.
• Build intuitive data models for user exploration.

Skills

SQL

Python

Data modeling principles

ELT/ETL pipelines

Data quality

Analytics and BI tools

Tools

dbt

Airflow

Databricks

Snowflake

BigQuery

Job description

At Goodnotes, we believe that every individual holds untapped potential waiting to be unleashed. By reimagining the way we interact with information, we’re merging human creativity with the breakthrough capabilities of AI. Our renewed vision and mission drive us to create the best medium for human and AI collaboration, empowering users to explore new dimensions of productivity, creativity, and learning. Join us on this journey as we transform digital note‑taking into an inspiring and innovative experience.

Our Values

• Dream big — Be visionary, strategic, and open to innovation
• Build great things — Work in service of our users, always improving and pushing higher
• Operate like an owner — Propel company success and impact with an entrepreneurial mindset
• Win like a sports team — Be trusting and collaborative while empowering others
• Learn and grow fast — Never stop learning and iterate fast
• Share our passion — Share ideas and practice enthusiasm and joy
• Be user obsessed — Empathetic, inquisitive, practical

About the team

You will join a distributed team across Europe and Asia focusing specifically on delivering insights and analytics to uncover new strategic opportunities, drive faster user‑centric decisions, and make Goodnotes’ products smarter.

About the role

We are seeking an experienced and passionate Analytics Engineer to work in the Insights team and lead our analytics engineering practice. Working alongside Data Scientists and Data Engineers, you will focus on clean, intuitive data modeling and self‑serve BI enablement.

Responsibilities

• Turning messy, scattered data into reliable, analysis‑ready datasets that unlock product insights and decision‑making.
• Collaborating closely with product, engineering, and data science to define what should be tracked, how it should be collected, and how it should be modeled.
• Building data models that make it easy for other humans, as well as AI, to explore data independently, rather than relying on ad‑hoc requests.
• Ensuring our data ecosystem is trustworthy by implementing thoughtful testing, monitoring, and alerting.
• Helping shape technical foundations by contributing to architectural decisions, tooling improvements, and best practices.
• Translating ambiguous business questions into clear analytical frameworks, KPIs, and reporting structures.
• Empowering non‑technical stakeholders to self‑serve their data needs in BI tools thanks to a well‑designed model structure and semantic layer.

Requirements

• 7+ years of experience in the analytics engineering space, or equivalent experience in data engineering/analytics roles.
• Strong command of SQL, Python, and comfortable working with complex transformations across large datasets.
• Experience building and operating ELT/ETL pipelines using modern data stack tools (dbt, Airflow, Databricks, Snowflake/BigQuery/etc.).
• Solid understanding of data modeling principles and when to apply different approaches (e.g., dimensional, wide tables, semantic layers).
• Deep appreciation for data quality, with hands‑on experience implementing tests, observability, and incident response processes.
• Familiarity with analytics and BI tools (we use dbt + Hex, but experience with our exact stack is not required) and how to structure data for self‑serve use.
• Desire to work in a fast‑paced, collaborative environment.

Even if you don’t meet all the criteria listed above, we would still love to hear from you! Goodnotes places a lot of value on learning and development and will support your growth if needed.

Interview process

1. An introductory call with someone from our talent acquisition team. They want to hear more about your background, what you are looking for, and why you’d like to join Goodnotes.
2. Take‑home assignment.
3. Technical interview: A technical call with 2‑3 insight team members. We will go through your take‑home submission and a few other technical questions. You will have the chance to ask any questions you may have.
4. Hiring Manager interview: A call with your hiring manager. This is the person who will be managing you day to day, working on your growth and development with you as well as supporting you throughout your career at Goodnotes.
5. Panel interview – A meet the team call with 2 or 3 GoodPeople you’d be working closely with at Goodnotes.

Benefits

• Meaningful equity in a profitable tech startup
• Budget for things like noise‑cancelling headphones, setting up your home office, personal development, professional training, and health & wellness
• Sponsored visits to our Hong Kong, Singapore and London offices
• Company‑wide annual offsite (we met in Bali in 2024 and Seoul in 2025)
• Flexible working hours and location
• Medical insurance for you and your dependents

Note: Employment is contingent upon successful completion of background checks, including verification of employment, education, and criminal records.

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