Analytics Engineer (Finance)

Analytics Engineer (Finance)

Cardiff Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as an Analytics Engineer to create impactful data models and collaborate across teams.
  • Company: Starling is the UK's first digital bank, revolutionising banking with tech-driven solutions.
  • Benefits: Enjoy 33 days holiday, private medical insurance, and perks like discounts and wellness platforms.
  • Why this job: Be part of a fast-paced, innovative culture that values collaboration and personal ownership.
  • Qualifications: Strong SQL and dbt experience, finance domain knowledge, and excellent communication skills required.
  • Other info: We embrace diversity and encourage applicants from all backgrounds to apply.

The predicted salary is between 36000 - 60000 £ per year.

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. We are about giving customers a new way to spend, save and manage their money while taking better care of the planet. Our journey started in 2014, and since then we have surpassed 3.5 million accounts 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 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 your primary responsibilities. 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.

The way to thrive and shine within Starling is to be a self-driven individual and take full ownership of everything around you: from building things, designing, discovering, to sharing knowledge with your colleagues and ensuring 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 can interact and collaborate in person. In Technology, we’re asking that you attend the office a minimum of 1 day per week.

Our Data Environment
Our Data teams are aligned to divisions covering Banking Services & Products, Customer Identity & Financial Crime, and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and our customers.

Responsibilities:

  • Translate data requirements from across the organisation into robust and reusable data models, focusing on financial regulatory submissions or financial analytics.
  • Maintain consistent and clear documentation and communicate with business stakeholders (both technical and non-technical).
  • Collaborate with the wider data team to help meet the business goals, including peer reviews.
  • Take ownership of a project end-to-end and manage priorities accordingly.

Requirements:

  • Strong experience with SQL.
  • Strong experience with dbt.
  • Experience working within the finance domain.
  • Self-starter with the 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.

Desirable Requirements:

  • Experience working in GCP.

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, so come with questions and be curious. You can expect the following stages:

  • Stage 1 - 45 mins with one of the team.
  • Stage 2 - Take home challenge.
  • 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.

Benefits:

  • 33 days holiday (including public holidays).
  • An extra day’s holiday for your birthday.
  • Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off.
  • 16 hours paid volunteering time a year.
  • Salary sacrifice, company enhanced pension scheme.
  • Life insurance at 4x your salary & group income protection.
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care.
  • Generous family-friendly policies.
  • Incentives refer a friend scheme.
  • 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.

Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.

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Contact Detail:

Starling Bank Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Engineer (Finance)

✨Tip Number 1

Familiarise yourself with Starling's core values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. During your interactions, whether in interviews or networking, demonstrate how your personal values align with theirs.

✨Tip Number 2

Showcase your experience with SQL and dbt by preparing specific examples of projects where you've used these tools to solve complex problems. Be ready to discuss the impact of your work on business outcomes.

✨Tip Number 3

Engage with the data community at Starling by following their blogs or social media channels. This will not only give you insights into their current projects but also help you formulate relevant questions to ask during your interview.

✨Tip Number 4

Prepare for a conversational interview style by practising discussing your technical skills in a way that is accessible to non-technical audiences. This will demonstrate your strong communication skills, which are crucial for the role.

We think you need these skills to ace Analytics Engineer (Finance)

Strong SQL skills
Experience with dbt
Financial analytics expertise
Attention to detail
Proficiency in Looker or similar visualisation tools
Strong communication skills for technical and non-technical audiences
Documentation skills
Ability to translate data requirements into data models
Experience working in cross-functional teams
Self-starter mentality
Problem-solving skills
Experience in the finance domain
Ability to manage projects end-to-end
Collaboration skills

Some tips for your application 🫡

Understand the Role: Before applying, make sure to thoroughly read the job description for the Analytics Engineer position. Understand the key responsibilities and required skills, such as SQL, dbt, and experience in the finance domain.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your technical abilities, particularly in SQL and data visualisation tools like Looker, as well as any experience in financial analytics.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for fintech and how your values align with Starling's mission. Mention specific examples of past projects where you took ownership and delivered impactful results.

Prepare for the Interview: Anticipate the types of questions you might be asked during the interview process. Be ready to discuss your technical skills, problem-solving abilities, and how you can contribute to the team. Prepare thoughtful questions to ask about the company culture and the role.

How to prepare for a job interview at Starling Bank Limited

✨Understand the Company Values

Before your interview, take some time to familiarise yourself with Starling's core values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Be prepared to discuss how these values resonate with you and how you can embody them in your role as an Analytics Engineer.

✨Showcase Your Technical Skills

Since the role requires strong experience with SQL, dbt, and visualisation tools like Looker, be ready to demonstrate your proficiency. Prepare examples of past projects where you've successfully used these technologies, and consider discussing any challenges you faced and how you overcame them.

✨Prepare for a Conversational Interview

Starling's interview process is designed to be conversational. Think of it as a two-way street where you can also ask questions. Prepare thoughtful queries about the team dynamics, ongoing projects, or the company culture to show your genuine interest in the role and the organisation.

✨Emphasise Collaboration and Ownership

Highlight your ability to work across teams and take ownership of projects. Share specific examples from your previous experiences where you collaborated effectively with cross-functional teams and how you managed priorities to deliver results. This will align well with Starling's emphasis on innovation and teamwork.

Analytics Engineer (Finance)
Starling Bank Limited
Location: Cardiff
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