Analytics Engineer - Remote

Overview

As an Analytics Engineer at Gemini, you will be part of a data team that delivers high-quality work while solving challenges that impact the team's data architecture. Your role will involve designing and implementing data solutions that align with the team's long-term goals.

In Short

• Design and implement Data Warehousing and reporting solutions.
• Collaborate with product managers and data engineers.
• Automate and build scalable data pipelines using Python.
• Enhance dimensional models for Data Warehouse and BI solutions.
• Perform analysis to derive actionable insights.
• Conduct root cause analysis for production and data issues.
• Create test plans and perform data validation.
• Tune SQL queries and ETL pipelines.
• Maintain data dictionary and process documentation.
• Research new tools to improve processes.

Requirements

• 2+ years experience in BI applications (Tableau/Looker/Power BI).
• Advanced SQL skills.
• 2+ years in custom ETL design and maintenance.
• 2+ years in schema design and dimensional data modeling.
• Experience in developing actionable insights from data.
• Familiarity with MPP databases (Redshift, Bigquery, Snowflake).
• Experience with ETL frameworks (Custom, DBT, Databricks).
• Knowledge of statistics, machine learning, and generative AI.
• Strong software engineering skills, preferably in Python.
• Ability to work collaboratively across teams.

Benefits

• Competitive starting salary.
• Discretionary annual bonus.
• Long-term incentive in the form of equity grant.
• Comprehensive health plans.
• 401K with company matching.
• Paid Parental Leave.
• Flexible time off.