Senior Analytics Engineer

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'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. The interview process: An introductory call with someone from our talent acquisition team. Take‐home assignment. Technical interview: A technical call with 2‐3 insights team members to review your submission and discuss additional technical questions. Hiring Manager interview: A call with your hiring manager. 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 items such as noise‐cancelling headphones, home‐office setup, personal development, professional training, and health & wellness. Sponsored visits to our Hong Kong, Singapore, and London offices. Company‐wide annual off‐site (we met in Bali in 2024 and Seoul in 2025). Flexible working hours and location. Medical insurance for you and your dependents. Employment is contingent upon successful completion of background checks, including verification of employment, education, and criminal records. By submitting your application, you acknowledge that you have read and understood our Candidate Privacy Notice, which provides important information about the data we collect during the application process. Candidate Demographic Questions Goodnotes is committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. To help us ensure a fully diverse, equitable and inclusive working environment, we invite you to fill out this voluntary survey so we can track and further our Diversity, Equity and Inclusion efforts. The information shared here cannot and will not affect your job application in any way. It's also 100% anonymous, and is not linked to your name, identity or application. Goodnotes has my consent to collect, store, and process my data for the purpose of considering me for employment, and for up to 365 days thereafter. #J-18808-Ljbffr