About the Company

Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency.

At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom.

In Singapore, we have a hybrid work policy. Employees are expected to work from the office part of the week. We believe our hybrid approach increases productivity through more in-person collaboration where possible.

The Department: Analytics

Data and analytics are central to all of our business functions and drive many of our most important decisions at Gemini. The Analytics team is responsible for data architecture, data engineering, business intelligence, machine learning, and data governance functions that shape the way data is stored and leveraged across Gemini. Analytics Engineers, Data engineers and Machine Learning engineers make up the Analytics team are responsible for building the primary decision support system that derives continuous value by enabling individuals and various functional groups to make data driven informed decisions via our reliable data processes, data products and advanced analytics ability. The projects executed by the team cover a wide-range of topics including user acquisition and customer journey, cryptocurrency performance, generative AI, product analytics, order book analytics, risk analytics, enabling automated and scalable blockchain based reconciliation systems, building predictive models all the way to enabling anomaly and fraud detection.

The Role: Analytics Engineer

As a member of our data team, you'll deliver high quality work while solving challenges that impact the whole or part of the team's data architecture. You'll update yourself with recent advances in Big data space and provide solutions for large-scale applications aligning with team's long term goals. Your work will help resolve complex problems with identifying root causes, documenting the solutions, and implementing Operations excellence (Data auditing, validation, automation, maintainability) in mind. Communicating your insights with leaders across the organization is paramount to success.

Responsibilities:

Design, architect and implement best-in-class Data Warehousing and reporting solutions
Partner with product managers, data engineers and other functions to drive insights for the firm
Design, automate, build, and launch scalable, efficient and reliable data pipelines into production using Python
Design, build and enhance dimensional models for Data Warehouse and BI solutions
Perform analysis to derive actionable insights for key stakeholders
Perform root cause analysis and resolve production and data issues
Create test plans, test scripts and perform data validation
Tune SQL queries, reports and ETL pipelines
Build and maintain data dictionary and process documentation
Research new tools and technologies to improve existing processes

Minimum Qualifications:

2+ years experience developing a BI applications (Tableau/Looker/Power BI, etc)
Advanced skills with Python and SQL are a must
2+ years experience in custom ETL design, implementation and maintenance
2+ years experience with schema design and dimensional data modeling
Experience making sense of data and developing actionable insights
Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc)
Experience with one or more ETL frameworks (Custom, DBT, Databricks, etc)
Experience with statistics, machine learning and generative AI
Strong software engineering skills in any server side language, preferable Python
Experienced in working collaboratively across different teams and departments
Strong technical and business communication

Preferred Qualifications:

Proficient in Developing LookML
Proficient in Python
Knowledge and experience of financial markets, banking or exchanges

It Pays to Work Here

We take a holistic approach to compensation at Gemini, which includes:

Comprehensive health plans covered at 100% for employees and dependents
Long-term incentive in the form of a new hire equity grant
Paid Parental Leave
Up to 14 paid vacation days (in addition to public/bank holidays)

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.