Senior Analytics Engineer

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 the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle. Employees within the New York and Seattle metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC and Seattle offices 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: Senior 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:

• 4+ years experience developing a BI applications (Tableau/Looker/Power BI, etc)
• Advanced skills with Python and SQL are a must
• 4+ years experience in custom ETL design, implementation and maintenance
• 4+ 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 blockchain, financial markets, banking or exchanges It Pays to Work Here The compensation & benefits package for this role includes:
• Competitive starting salary
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

Salary Range: The base salary range for this role is between $136,000 - $170,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

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.

#LI-AH1