Senior Analytics Engineer - Remote & Data Modeling Lead

Gemini; Miami, New York (FL, NY); Hybrid; USD 126,000 - 180,000; Full time

Benefits offered by this job

Discretionary annual bonus

New hire equity grant

401K with company matching

Flexible time off

Job summary

Gemini is seeking a Senior Analytics Engineer to design scalable data models and reporting solutions. You will partner with data engineers, product managers, and stakeholders to transform raw data into reliable analytics assets.

The role emphasizes building automated data quality checks, maintaining documentation, and driving insights across the organization. Hybrid work in the US is offered with in‑person onboarding at hubs.

Qualifications

• 5+ years of experience in analytics engineering or data engineering.
• Experience designing dimensional data models for enterprise data warehouses.
• Experience building scalable data transformation pipelines.
• Experience with Looker, Tableau, or Power BI for analytics.
• Advanced SQL skills; Python preferred for data transformation.
• Experience translating business requirements into scalable data models.
• Experience with dbt for modern data transformation.
• Collaborative work across teams and strong communication.

Responsibilities

• Design and implement data warehousing and reporting solutions.
• Develop scalable dimensional data models for BI.
• Collaborate with product managers, data engineers, and stakeholders.
• Derive actionable insights through analysis for key stakeholders.
• Perform root cause analysis and fix data issues.
• Maintain automated data quality checks and testing.
• Optimize SQL transformations for performance.
• Build data dictionaries and process documentation.
• Research new tools to improve processes.

Skills

Analytics engineering

Data engineering

Dimensional modeling

SQL

Python

Communication

Cross-functional collaboration

Tools

Looker

Tableau

Power BI

dbt

Job description

Gemini is seeking a Senior Analytics Engineer to design scalable data models and reporting solutions. You will partner with data engineers, product managers, and stakeholders to transform raw data into reliable analytics assets.

The role emphasizes building automated data quality checks, maintaining documentation, and driving insights across the organization. Hybrid work in the US is offered with in‑person onboarding at hubs.