Senior Analytics Engineer

Unchain Data; New York (NY); Hybrid; USD 126,000 - 180,000; Full time

Benefits offered by this job

Competitive starting pay

Discretionary annual bonus

New hire equity grant

Comprehensive health plans

401K with company matching

Paid Parental Leave

Flexible time off

Job summary

Gemini is seeking a Senior Analytics Engineer to design scalable data models and data pipelines. You will work within the Data team to deliver reliable warehousing and BI solutions, translating business requirements into actionable insights for leaders across the organization.

You will optimize SQL, leverage Python for automation, and collaborate with product, engineering, and analytics teams to maintain data quality and governance at scale.

Qualifications

• 5+ years of analytics engineering or data engineering experience.
• Strong experience designing dimensional data models and schemas for enterprise data warehouses.
• Proven ability to design, build, and maintain scalable data transformation pipelines.
• Advanced SQL skills; Python for data transformation and automation preferred.
• Experience with Looker, Tableau, or Power BI for analytics and BI solutions.
• Experience with dbt and modern data transformation frameworks.
• Collaborative work across teams and excellent communication with stakeholders.

Responsibilities

• Design, architect and implement data warehousing and reporting solutions.
• Build scalable dimensional data models for Data Warehouse and BI.
• Translate business requirements into scalable data models and insights.
• Perform analyses to derive actionable insights for stakeholders.
• Root cause analysis and resolution of production and data issues.
• Develop automated data quality checks and testing frameworks.
• Optimize SQL transformations for performance and maintainability.
• Document data dictionaries and processes; research new tools.

Skills

Analytics engineering

Data engineering

SQL

Python

Looker

Tableau

Power BI

dbt

Cross-functional collaboration

Communication

Tools

dbt

Job description

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

Benefits

• 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.

Work Environment

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.