Senior Analytics Engineer

Stott and May United State
Remote
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AI Summary

Join Stott and May as a Senior Analytics Engineer to support analytics build out across a cloud data platform. You'll model and deliver trusted data across asset, customer, and operational use cases. This role requires strong Analytics Engineer experience in cloud environments.

Key Highlights
Six month initial contract with strong view to extend
Competitive hourly rate
Fully remote, EST time zone
Key Responsibilities
Building analytics ready models using dbt
Designing fact and dimension tables for asset health, outage, and customer analytics
Working in Snowflake or similar cloud warehouse environments
Improving data quality, testing, and documentation standards
Enabling BI and operational reporting across the business
Technical Skills Required
dbt SQL dimensional modeling Snowflake
Benefits & Perks
Competitive hourly rate
Fully remote, EST time zone
Six month initial contract with strong view to extend

Job Description


We’re working with a utilities client looking to bring on an experienced Analytics Engineer to support analytics build out across their cloud data platform.

You’ll join an existing team as a senior level contributor, helping model and deliver trusted data across asset, customer, and operational use cases.

This role suits someone hands on, comfortable working between data engineering and the business, and experienced delivering production grade data models in regulated environments.

Six month initial contract with strong view to extend.

Competitive hourly rate, 40 hours per week.

W2 or personal LLC only. No C2C.

Fully remote, EST time zone.

What you will be doing

• Building analytics ready models using dbt

• Designing fact and dimension tables for asset health, outage, and customer analytics

• Working in Snowflake or similar cloud warehouse environments

• Improving data quality, testing, and documentation standards

• Enabling BI and operational reporting across the business

What we are looking for

• Strong Analytics Engineer experience in cloud environments

• Hands on dbt in production

• Strong SQL and dimensional modeling skills

• Experience supporting regulated or enterprise environments

• Comfortable working with operational stakeholders

Modern data stack. High impact utility use cases. Extensions likely.


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