Senior Analytics Engineer

Material Bank is the worlds largest material marketplace for the architecture and design industry. Operating in 37 countries our platform has become the standard for design professionals around the globe. Every day Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search sample and specify materials.

Senior Analytics Engineer Analytics & Insights

London UK (Hybrid 2 days in office)

Material Bank is the worlds largest material marketplace for the architecture and design industry. Operating in 37 countries our platform has become the standard for design professionals around the globe. Every day Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search sample and specify materials.

About the role

We are looking for a Senior Analytics Engineer to join Analytics & Insights the team that owns Material Banks analytics data layer internal reporting and data products that support our teams and brand partners.

This is a hands-on technical role for someone who wants to own how analytics get built. You will take approved metric definitions and business questions and turn them into the models and metric logic in Snowflake anddbt the dashboards and the semantic layer and data products people use every day.

You will own the analytics engineering for key areas of the business: understanding what needs to be measured building the modelsvalidatingthe logic delivering the reporting and keeping itaccurateand reliable over time. You will work across multiple departments and across our data products including embedded analytics for brands. The work varies day to day and as a team we contribute to everything.

What werequire

• Ownership end to end.You own what you build from the first stakeholder conversation to the model the dashboard and the fix when something breaks.

• Precision and attention to detail.You understand the nuance behind a number verify before you publish and produce work that leaders and brand partners can trust without checking.

• Appetite forhard work.We are a small ambitious team with a lot of goals. The work is demanding and the hours vary with what needs to get done. We are upfront about that because it is what the role is.

Whatyoulldo

• Own the analytics engineering for assigned business domains translating metric definition through data model dashboard and insight.

• Design build andmaintaindocumented production-qualitydbtmodels in Snowflake that turn approved metric definitions into reliable reusable models and semantic definitions and power reporting self-serve automation and AI.

• Identifyand resolve technical inconsistencies in metric logic so the business runs on one certified source of truth.

• Build a small set of high-value dashboards in Tableau (and Sigma as we evolve the stack).

• Contribute to the semantic layer so certified metrics are reusable across BI tools Snowflake Cortex and embedded analytics.

• Automate recurring analytics work with the tests and monitoring that keep it trustworthy.

• Partner with analysts and stakeholders to interpret data build context and surface risks before they are asked.

• Contribute to brand-facing data products used by account teams and manufacturer partners.

Whatyoullbring

• 5 years in analytics engineering data analytics or a similar technical analytics role owning data models and reporting that a business relies on.

• Expert SQL on large and complex datasets. You write clean efficient queries and can debug someone elses logic as easily as your own.

• Strong hands-on Snowflake anddbt(or a comparable modern data stack) including dimensionalmodeling incremental models testing and documentation.

• Strong Tableau skills. Sigma Looker or similar a plus.

• Strong judgment on metric design: grain denominators filters time zones deduplication and the ways a correct number can still mislead.

• Commercial sense and curiosity. You want to understand why a number matters can explain what a change means for the business and hold a position under questioning.

• An automation mindset. When you see something repetitive or fragile your instinct is to find a better way to build it.

• Comfort working across several domains at once prioritizing your own work and managing stakeholders directly.

• Clear concise communication and the ability to explain technical concepts to non-technical audiences.

Preferred

Helpful notrequired:

• Python for automation and data validation

• Marketplace e-commerce or B2B SaaS analytics

• Event andbehavioraldata (Segment GA4 or similar)

• Semantic layers and AI-assisted analytics (Snowflake CortexdbtSemantic Layer or similar)

• Embedded or customer-facing analytics (ClickHouse Preset or similar)

• Experimentation and causal methods: A/B testing cohort analysis difference-in-differences
• Catalog product attribute or search data

What success looks like

In your first 30 days you understand the stack the models the people and the priorities in your domains and you have your firstdbtchange merged.

By 60 days you are producing real work independently: agreed metric definitions implemented your first certified models and dashboards in use and a plan for the first manual workflow you will automate.

By 90 days stakeholders treat you as their analytics partner rather than a request queue. Your models are trusted your dashboards are used withouthand-holding and your automation is reducing real manual effort.

This is a senior individual-contributor role with broad ownership and hands-on responsibility. Direct people management is notrequired.

What youll get:

• Our people: If you thrive in an inclusive innovative and fast-paced organization look no further! You will get to work alongside some of the brightest minds - Join a genuinely fun and supportive workplace where we keep our employees consistently engaged through internal communication and corporate events
  Relaxation and Celebrations: Generous PTO Paid National Holidays and even more (ask us about this when we connect).
  Health Benefits: We contribute to your medical healthcare
  rowth: Well help you take your career to the next level. We want you to be creative and take initiative which will allow you to grow and create within the company. Most importantly be the best at what matters!
  Flexible Work Schedules: With business units and employees across the globe Material Technologies has embraced ahybrid workingmodel allowing department leaders to decide on the best approach for their respective teams whether that be remote in person or a little of both.
• Application Process: Interested candidates should submit a resume and cover letter outlining their qualifications and relevant experience. We are committed to diversity and encourage individuals from all backgrounds to apply.

Required Experience:

Senior IC