Senior Analytics Engineer

About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Department: Data

At Gemini, our Data team is the engine that powers insight, innovation, and trust across the company. We bring together world-class data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists — all working in harmony to transform raw information into secure, reliable, and actionable intelligence. From building scalable pipelines and platforms, to enabling cutting-edge machine learning, to ensuring governance and cost efficiency, we deliver the foundation for smarter decisions and breakthrough products. We thrive at the intersection of crypto, technology, and finance, and we’re united by a shared mission: to unlock the full potential of Gemini’s data to drive growth, efficiency, and customer impact.

The Role: Senior Analytics Engineer

As a member of our data team, you'll deliver high-quality work while designing scalable data models and solving challenges that impact the team's data architecture. You'll stay current with advances in the modern data ecosystem and apply them to build scalable solutions that align with the team's long-term goals. Your work will involve identifying root causes, documenting solutions, and implementing them with operational excellence in mind through data quality, validation, automation, and maintainability. Communicating technical concepts and analytical insights with leaders across the organization is paramount to success.

Responsibilities:

Design, architect and implement best-in-class data warehousing and reporting solutions

Design, build, and evolve scalable dimensional data models that serve as trusted foundations for Data Warehouse and BI solutions

Partner with product managers, data engineers, and business stakeholders to translate business requirements into scalable data models and actionable insights

Perform analysis to derive actionable insights for key stakeholders

Perform root cause analysis and resolve production and data issues

Develop and maintain automated data quality checks, validation frameworks, and testing to ensure the accuracy and reliability of data assets

Optimize SQL transformations and data models for performance, scalability, and maintainability

Build and maintain data dictionary and process documentation

Research new tools and technologies to improve existing processes

Minimum Qualifications:

5+ years of experience in analytics engineering, data engineering, or similar roles 

Strong experience designing dimensional data models and schemas for enterprise data warehouses

Strong experience designing, building, and maintaining scalable data transformation pipelines

Strong experience developing analytics and BI solutions using platforms such as Looker, Tableau, or Power BI

Advanced SQL skills are required. Proficiency with Python for data transformation and automation is preferred

Experience translating business requirements into scalable dimensional data models and actionable insights

Experience with modern data transformation frameworks such as dbt

Experienced in working collaboratively across different teams and departments

Strong technical and business communication

Preferred Qualifications:

Experience designing enterprise-scale dimensional data models and semantic layers

Experience building trusted, reusable datasets for self-service analytics

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 pay

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 $126,000 - $180,000 in the State of New York. 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.

In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in-person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce.

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.

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