AI-Native Analytics Engineer for Self-Serve BI

Xelix; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Hybrid working

Private medical & dental cover

Annual leave 27 days + rollover

Parental leave pay

Learning & development budget

Team socials

Annual retreat

Job summary

Xelix is hiring an Analytics Engineer to join our growing BI/Data team. You will turn raw data into trusted metrics and self-service analytics used across Finance, Product, and Engineering. You’ll work AI-native from day one, owning definitions and quality while building scalable data models.

You will join a fast-paced scale-up, collaborate with cross-functional teams, and shape how Xelix defines and uses data to drive decisions. This role offers hybrid work from London and a competitive package.

Qualifications

• Experience as analytics engineer or BI developer.
• Experience building models in dbt on a cloud data warehouse.
• Proficient in SQL and data modeling for SaaS metrics (ARR, churn).

Responsibilities

• Model clean, joined tables in dbt for customers, contracts, usage, product outcomes, support, revenue and cost.
• Own the metrics layer with defined metrics such as ARR and cost to serve.
• Migrate reports from Metabase to governed models and retire duplicates.
• Enable self-serve analytics for Finance, RevOps, Commercial, Product, Engineering and Services.

Skills

SQL

dbt

Data modeling

Semantic layer

Metabase

Power BI

Looker

SaaS metrics

Communication

Tools

Metabase

Looker

Power BI

dbt Cloud

Job description

Xelix is hiring an Analytics Engineer to join our growing BI/Data team. You will turn raw data into trusted metrics and self-service analytics used across Finance, Product, and Engineering. You’ll work AI-native from day one, owning definitions and quality while building scalable data models.

You will join a fast-paced scale-up, collaborate with cross-functional teams, and shape how Xelix defines and uses data to drive decisions. This role offers hybrid work from London and a competitive package.