Analytics Engineer: Shape Core Data & Dashboards

Loop; Chicago (IL); On-site; USD 80,000 - 100,000; Full time

Job summary

Loop is looking for an Analytics Engineer to play a pivotal role in enhancing the data organization. You will design, build, and maintain core data models and ETL processes, ensuring reliable data accuracy across teams. Collaboration with various business units is crucial for automating data requests and creating data-driven solutions.

Applicants should have a minimum of 2 years of experience in building analytical products, along with strong SQL and Python skills. Familiarity with data stack tools like Snowflake and dbt will be advantageous.

Qualifications

• 2+ years experience building analytical products.
• Strong proficiency in SQL and Python for data transformations.
• Hands-on experience with modern data stack tools.

Responsibilities

• Design, build, and own core infrastructure and data models.
• Establish and govern key business metrics for consistency.
• Ensure data accuracy and reliability with strong SLAs.
• Convert ad-hoc data requests into scalable pipelines.
• Manage and optimize data infrastructure for performance.

Skills

SQL

Python

Data visualization tools

Data dashboarding

Data infrastructure management

Business communication

Tools

Snowflake

dbt

Dagster

Airflow

Looker

Tableau

Superset

Mode

Job description

Loop is looking for an Analytics Engineer to play a pivotal role in enhancing the data organization. You will design, build, and maintain core data models and ETL processes, ensuring reliable data accuracy across teams. Collaboration with various business units is crucial for automating data requests and creating data-driven solutions.

Applicants should have a minimum of 2 years of experience in building analytical products, along with strong SQL and Python skills. Familiarity with data stack tools like Snowflake and dbt will be advantageous.