Senior Analytics Engineer

Stott And May
Miami, US
Remote

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 productionStrong 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.

#J-18808-Ljbffr Stott and May

Skills & Requirements

Technical Skills

DbtSnowflakeSqlDimensional modelingUtilities

Soft Skills

Problem-solvingCommunicationTeamworkAdaptabilityTime managementDecision-making

Domain Knowledge

UtilitiesAsset managementCustomer analyticsData qualityData documentation

Employment Type

CONTRACT

Level

senior

Posted

4/13/2026

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