TL;DR

Analytics Engineer (Credit): Translating data requirements into robust and reusable data models, with an accent on financial regulatory submissions or financial analytics. Focus on owning projects end-to-end, maintaining clear documentation, and collaborating with data teams to deliver impactful insights.

Location: Hybrid, with a preference for being within a commutable distance of one of %hirify_global%'s UK or Dublin offices.

Company

%hirify_global% is a multi-award winning, tech-first digital bank in the UK, focused on fixing banking with fast technology, fair service, and honest values.

What you will do

Translate data requirements into robust and reusable data models, focusing on financial regulatory submissions or analytics.
Maintain consistent and clear documentation and communicate with business stakeholders.
Collaborate with the wider data team, including peer reviews.
Take ownership of projects end-to-end and manage priorities.

Requirements

Strong experience with SQL.
Experience working within the credit domain.
Self-starter with ability to think outside the box.
Good attention to detail.
Strong experience with Looker or a similar visualisation tool.
Strong communication and documentation skills for both technical and non-technical audiences.
Experience supporting and working with cross-functional teams in a dynamic environment.

Nice to have

Strong experience with dbt or a desire to learn.

Culture & Benefits

25 days holiday plus public holiday allowance, with an extra day for your birthday and options to buy or sell up to five extra days off.
16 hours paid volunteering time annually.
Salary sacrifice, company enhanced pension scheme, life insurance, and group income protection.
Private Medical Insurance with VitalityHealth, including mental health support and cancer care.
Generous family-friendly policies and Perkbox membership for retail discounts and wellness.
Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing.

Hiring process

Stage 1 - 30 mins with one of the team.
Stage 2 - Take home test.
Stage 3 - 60 mins technical interview with two team members.
Stage 4 - 45 min final with an executive and a member of the people team.