Senior Analytics Engineer — Own Data Models & Dashboards

Material Bank; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Flexible Work Schedule

Health Benefits

PTO & Holidays

Job summary

Material Bank, the leading material marketplace, seeks a Senior Analytics Engineer to own analytics engineering across business domains. You will translate metric definitions into data models, dbt, dashboards, and semantic layers that empower reporting and self-serve analytics.

The role requires 5+ years in relevant analytics, expert SQL, and hands-on Snowflake/dbt. You will work in a hybrid setup with London-based teams and collaborate across brands and partners.

Qualifications

• 5+ years in analytics engineering or a similar technical analytics role.
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Responsibilities

• Own the analytics engineering for assigned business domains, translating metric definitions through data model, dashboard, and insight.
• Design, build, and maintain documented production-quality dbt models in Snowflake that turn approved metric definitions into reliable, reusable models and semantic definitions, powering reporting and self-serve analytics.
• Identify and resolve technical inconsistencies in metric logic so the business runs on a single source of truth.
• Build high-value dashboards in Tableau (and Sigma as stack evolves).
• Contribute to the semantic layer so certified metrics are reusable across BI tools and embedded analytics.
• Automate recurring analytics work with tests and monitoring to keep it trustworthy.
• Partner with analysts and stakeholders to interpret data and surface risks.
• Contribute to brand-facing data products used by account teams and manufacturer partners.

Skills

Ownership

SQL

Snowflake

dbt

Metric design

Automation

Stakeholder mgmt

Communication

Python

Education

Tools

Tableau

Sigma

Snowflake Cortex

dbt

Job description

Material Bank, the leading material marketplace, seeks a Senior Analytics Engineer to own analytics engineering across business domains. You will translate metric definitions into data models, dbt, dashboards, and semantic layers that empower reporting and self-serve analytics.

The role requires 5+ years in relevant analytics, expert SQL, and hands-on Snowflake/dbt. You will work in a hybrid setup with London-based teams and collaborate across brands and partners.