Job Description
Job title: Data Analyst / Analytics Engineer (Customer Services)
Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.
We are about giving customers a new way to spend, save and manage their money while taking better care of the planet which has seen us become a multi-award winning bank that now employs over 2800 across five offices in London, Cardiff, Dublin, Southampton, and Manchester. Our journey started in 2014, and since then we have surpassed 3.5 million accounts (and four account types!) with 350,000 business customers. We are a fully licensed UK bank but at the heart, we are a tech first company, enabling our platform to deliver brilliant products.
Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!
The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.
Hybrid Working
We have a Hybrid approach to working here at Starling – our preference is that you’re located within a commutable distance of one of our offices so that we’re able to interact and collaborate in person. We don’t like to mandate how much you visit the office and work from home, that’s to be agreed upon between you and your manager.
Responsibilities:
- Work with business stakeholders to design and implement metrics and dashboards for measuring and reporting on operational and product performance.
- Design and build robust and reusable data models to power monitoring and analytics workloads via dbt.
- Maintain consistent and clear documentation and definitions across the data warehouse and Looker.
- Follow established SDLC standards / processes for rapid and reliable releasing of changes to production.
- Collaborate with the wider data team to help meet the business goals.
Requirements:
- Strong experience with SQL
- Strong experience with Looker or a similar Business Intelligence (BI) tool
- Strong experience with dbt or a desire to learn
- Strong communication and stakeholder management skills.
- Experience in creating metrics and dashboards geared towards drawing actionable insights about performance
- Experience with data architecture and building data models which follow the principles of dimensional modelling
- Experience supporting and working with cross-functional teams in a dynamic environment
Interview Process
Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:
- Stage 1 – 30 mins with one of the team
- Stage 2 – 60 mins technical interview with two team members
- Stage 3 – 45 min final with an executive and a member of the people team
Benefits:
- 33 days holiday (including flexible bank holidays)
- An extra day’s holiday for your birthday
- 16 hours paid volunteering time a year
- Part-time and/or flexible hours available for most roles
- Salary sacrifice, company enhanced pension scheme
- Life insurance at 4x your salary
- Hybrid/remote working
- Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
- Generous family-friendly policies
- Varied social groups set up and run by our employees
- Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
- Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing
Expected salary :
Location : London Job date : Sun, 18 Feb 2024 01:48:45 GMT #Data #Analyst #Analytics #Engineer #Customer #Services Apply for the job now![ad_2] #J-18808-Ljbffr