At a Glance
- Tasks: Analyse data to improve customer experiences and identify new opportunities.
- Company: Join Starling, the UK's leading digital bank on a mission to revolutionise banking.
- Benefits: Enjoy 25 days holiday, private medical insurance, and flexible working options.
- Other info: We embrace diversity and encourage applicants from all backgrounds.
- Why this job: Be part of a tech-driven culture that values innovation and collaboration.
- Qualifications: Experience with SQL and Python; familiarity with BI tools is a plus.
The predicted salary is between 28800 - 48000 £ 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 3,800 across five offices in London, Cardiff, Dublin, Southampton, and Manchester. Our journey started in 2014, and since then we have surpassed 4.5 million accounts (and four account types!) with more than 400,000 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.
Our Data Environment
Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latestblogsor our case studies withWomen in Tech.
We are looking for a talented data professional 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.
- Work closely with the Banking, Marketing, Finance and Data teams to understand customer behaviour, product and feature trends
- Perform exploratory data analyses to identify arising challenges and new opportunities including proposing potential solutions
- Build and maintain retail customer and commercial related feature tables in our warehouse using dbt
- Perform descriptive analysis using Looker visualisations and dashboards
Skills
- Extensive experience with SQL
- Deep experience with handling data in Python
- Experience with (or willingness to learn!) dimensional modelling and dbt
- Familiarity with a BI tool such as Power BI or Looker
- Great communication skills
- A creative thinker with a keen attention to detail
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:
- Stage 1 - Chat with one of the Talent 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
Benefits
- 25 days holiday (plus take your public holiday allowance whenever 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 will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
#J-18808-LjbffrRetail Data Strategy Analyst in London employer: Starling Bank
Starling Bank is an exceptional employer that champions innovation and collaboration in a fast-paced fintech environment. With a strong commitment to employee growth, generous benefits including 25 days of holiday, private medical insurance, and a supportive work culture, Starling empowers its team members to take ownership of their roles while fostering a diverse and inclusive workplace. Located within commutable distance of vibrant cities like London, Cardiff, and Manchester, employees enjoy the flexibility of hybrid working arrangements, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Retail Data Strategy Analyst in London
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Starling Bank.
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We think you need these skills to ace Retail Data Strategy Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Starling Bank, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Starling Bank. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Starling Bank
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Starling Bank!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
