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- Tasks: As a Data Analyst, you'll translate data needs into models and analyse trends to drive business strategy.
- Company: Join Starling, the UK's leading digital bank, on a mission to revolutionise banking with tech and integrity.
- Benefits: Enjoy hybrid working, 33 days holiday, private medical insurance, and wellness perks like gym partnerships.
- Why this job: Be part of a dynamic team that values innovation, collaboration, and making a positive impact on customers.
- Qualifications: Strong SQL and Python skills, experience with Looker, and a self-starter attitude are essential.
- Other info: We embrace diversity and encourage applicants from all backgrounds to apply, even if you don't meet every requirement.
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. 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. 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 the following 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 more importantly our customers. Hear from the team in our latestblogsor our case studies withWomen in Tech.
We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.
Responsibilities:
- Translate data requirements from across the organisation into robust and reusable data models, modelling both within the data warehouse and exposing via Looker, with a particular focus on Customer Data
- Draw insights and use appropriate analytical methods to analyse large datasets to identify key trends, opportunities, set KPIs and help solve business problems
- Build strong relationships with stakeholders and communicate insights effectively to help shape business strategy
- Maintain consistent and clear documentation and definitions across the data warehouse and Looker, communicate this with stakeholders
- Collaborate with the wider data team to help meet the business goals, including peer reviews
- Strong experience with SQL
- Experience with Python
- Strong experience with Looker or a Similar Business Intelligence (BI) Tool
- Good understanding and experience of DBT and applying data architecture principles such as dimensional modelling, to translate raw data into a structured format, or a willingness to learn
- Self-starter with the ability to think outside the box and evolve projects. Take ownership of a project end-to-end and manage priorities accordingly
- Experience supporting and working with cross-functional teams in a dynamic environment
- Exposure working with Data within Customer Operations or Customer Outcomes (Complaints or Welfare Support) is a plus
- Version control using GitHub or similar
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 – 45 mins with one of the team
- Stage 2 – Take home challenge
- Stage 3 – 60 mins technical interview with two team members
- Stage 3 – 45 min final with an executive and a member of the people team
- 33 days holiday (including public holidays, which you can take when it works best for you)
- 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. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems.
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. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice.
By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
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Data Analyst (Customer) employer: Onyx-Conseil
Contact Detail:
Onyx-Conseil Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Customer)
✨Tip Number 1
Familiarise yourself with Starling's values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Demonstrating how you embody these values during your interactions can set you apart from other candidates.
✨Tip Number 2
Engage with the data community at Starling by following their blogs and case studies. This will not only give you insights into their projects but also help you formulate relevant questions to ask during your interview.
✨Tip Number 3
Prepare to discuss your experience with SQL, Python, and Looker in detail. Be ready to share specific examples of how you've used these tools to solve business problems or improve processes in previous roles.
✨Tip Number 4
Showcase your ability to work collaboratively across teams. Think of examples where you've successfully partnered with others to achieve a common goal, as this aligns with Starling's emphasis on teamwork and innovation.
We think you need these skills to ace Data Analyst (Customer)
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 Data Analyst position at Starling. Tailor your application to highlight how your skills and experiences align with their needs.
Highlight Relevant Skills: Focus on showcasing your experience with SQL, Python, and Looker or similar BI tools. Provide specific examples of how you've used these skills in previous roles to solve business problems or analyse data effectively.
Showcase Your Analytical Mindset: Demonstrate your ability to draw insights from large datasets. Include examples of how you've identified key trends or set KPIs in past projects, as this aligns with the role's focus on delivering impactful insights.
Communicate Clearly: Since the role involves building relationships with stakeholders, ensure your application is well-structured and easy to read. Use clear language to communicate your ideas and experiences, reflecting the open culture at Starling.
How to prepare for a job interview at Onyx-Conseil
✨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 a Data Analyst.
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Python, and Looker during the interview. Prepare specific examples of how you've used these tools to solve problems or derive insights from data. This will demonstrate your technical proficiency and ability to contribute to the team.
✨Prepare for the Take-Home Challenge
The take-home challenge is an important part of the interview process. Make sure to allocate enough time to complete it thoroughly. Focus on clarity and documentation, as well as showcasing your analytical skills. This is your chance to shine, so make it count!
✨Ask Thoughtful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the role and the company. Ask about the data team's current projects, how they measure success, or what challenges they face. This not only shows your curiosity but also helps you gauge if Starling is the right fit for you.
