Senior Analytics Engineer

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's 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. This is the role for you if you’re excited to work on the things listed below:

• 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.

The skills you will need to be successful in the above:

• 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. The interview process:

• 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

• Take-home Assignment.

• Technical interview: A technical call with 2-3 insights 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.

• 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 support you throughout your career at Goodnotes.

• Panel interview – A meet the team call with 2 or 3 GoodPeople you’d be working closely with at Goodnotes

What’s in it for you:

• 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