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- Tasks: Transform data needs into robust models and collaborate with teams to achieve business goals.
- Company: Join Starling, the UK's first digital bank, on a mission to revolutionise banking.
- Benefits: Enjoy 33 days holiday, private medical insurance, and perks like discounts and wellness support.
- Why this job: Be part of a tech-driven culture that values innovation, collaboration, and making a positive impact.
- 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, and we want to get the best from you, 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.
- Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton.
- 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.
About us
You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we’re always open to discussion. So, if you’re excited about working with us, but aren’t sure if you’re 100% there yet, get in touch anyway. We’re on a mission to radically reshape banking – and that starts with our brilliant team. Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace.
Analytics Engineer (Finance) employer: Starling Bank Limited
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 examples of past projects where you successfully translated data requirements into actionable insights. Be ready to discuss these during your interviews.
✨Tip Number 3
Engage with the data community at Starling by reading their blogs or case studies. This will not only give you insights into their work culture but also provide you with relevant talking points for your interviews.
✨Tip Number 4
Prepare thoughtful questions about the role and the team dynamics. Starling values curiosity, so asking insightful questions can help you stand out as a candidate who is genuinely interested in contributing to their mission.
We think you need these skills to ace Analytics Engineer (Finance)
Some tips for your application 🫡
Understand the Role: Before you start writing your application, make sure you fully understand the responsibilities and requirements of the Analytics Engineer position at Starling. Tailor your application to highlight how your skills and experiences align with their needs.
Highlight Relevant Experience: Focus on showcasing your strong experience with SQL, dbt, and any relevant finance domain knowledge. Provide specific examples of projects where you've successfully applied these skills, especially in a collaborative environment.
Communicate Clearly: Since the role involves communicating with both technical and non-technical stakeholders, ensure your application reflects your strong communication skills. Use clear and concise language, and avoid jargon unless necessary.
Show Your Passion for Innovation: Starling values self-driven individuals who can think outside the box. In your application, express your enthusiasm for fintech and innovation. Share any personal projects or initiatives that demonstrate your proactive approach to problem-solving.
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. Approach it as a two-way dialogue rather than a formal interrogation. Prepare thoughtful questions about the team, the projects you'll be working on, and the company culture to show your genuine interest.
✨Emphasise Collaboration and Ownership
Highlight your ability to work collaboratively across teams and take ownership of projects. Share specific examples from your previous experiences where you led a project or worked closely with cross-functional teams to achieve a common goal, demonstrating your self-driven nature.
