Data Scientist/Analytics Engineer Taipei BTSE – Data / Full-time / On-site apply for this job About BTSE:
彼特思方舟 is a specialized service provider dedicated to delivering a full spectrum of front-office and back-office support solutions, each of which are tailored to the unique needs of global financial technology firms. 彼特思方舑 is engaged by BTSE Group to offer several key positions, enabling the delivery of cutting-edge technology and tailored solutions that meet the evolving demands of the fintech industry in a competitive global market.
BTSE Group is a leading global fintech and blockchain company that is committed to building innovative technology and infrastructure. BTSE empowers businesses and corporate clients with the advanced tools they need to excel in a rapidly evolving and competitive market. BTSE has pioneered numerous trading technologies that have been widely adopted across the industry, setting new benchmarks for innovation, performance, and security in fintech. BTSE’s diverse business lines serve both retail (B2C) customers and institutional (B2B) clients, enabling them to launch, operate, and scale fintech businesses. BTSE is seeking ambitious, motivated professionals to join our B2C and B2B teams.
We are hiring a Junior Data Scientist / Analytics Engineer to join the BI team. This is the role for someone early in their career who wants to learn the craft of analytics in a high-velocity, data-rich environment — and who genuinely enjoys the work of turning numbers into decisions.
Most of your day will be spent building dashboards and working with seniors or business stakeholders to understand what they need. You will be expected to develop a strong working knowledge of the underlying datasets — what they contain, what they mean, and how the business uses them. You will be supported by more senior people on the team, but the expectation is that you grow quickly and start owning your work end-to-end.
This is the role where you learn the business through the data — and learn the data through the business. Responsibilities:
Build dashboards
Build, iterate on, and maintain dashboards
Take dashboards through the full lifecycle: requirements gathering, prototyping, build, review, deployment, and ongoing maintenance
Learn the data
Develop a solid working knowledge of the underlying datasets that power the business — what is in them, how they connect, where the pitfalls are
Write clean, well-documented SQL and Python to extract, transform, and analyse data
Ask good questions: about the data, about the business, about whether a metric is actually measuring what it claims to measure
Support the team
Pick up smaller analyses, ad-hoc requests, and follow-up work to keep the team moving
Document your work clearly so others can build on it
Grow into more complex projects over time as your skills develop
You are proficient in Python and SQL
Solid working SQL — joins, aggregations, CTEs, window functions; able to write queries that other people can read and trust
Comfortable in Python for data work — pandas at minimum, with willingness to learn PySpark and the broader stack
Some exposure to modern data tools (Databricks, dbt, Tableau, Looker, or similar) is a plus — but more important is the willingness to learn
You have a good feel for data
Some experience working with real datasets — through internships, projects, coursework, or a previous role
You enjoy digging into data to understand what is going on; you are not satisfied with a query that runs but produces a number you cannot explain
Basic instincts for data quality — you notice when something looks off
Competitive salary and benefits package.
Opportunity to work in a fast-paced and innovative environment.
Be part of a growing and dynamic team.
Make a real impact on the company's success.
Various team building programs and company events.
Comprehensive healthcare schemes for employees and dependants.
And many more! Apply and let us tell you more!
#LI-MC1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. apply for this job
Qualifications: Full-time, On-site, Junior Data Scientist, Analytics Engineer, early career, strong working knowledge of datasets, dashboard building, dashboard maintenance, requirements gathering, prototyping, deployment, data analysis, clean SQL, well-documented SQL, Python for data (pandas minimum, willingness to learn PySpark), modern data tools exposure (Databricks, dbt, Tableau, Looker) a plus, willingness to learn, experience with real datasets (internships, projects, coursework, previous role), data exploration, data quality instincts