Retail Data Strategy Analyst
Retail Data Strategy Analyst

Retail Data Strategy Analyst

London Full-Time 28800 - 48000 £ / year (est.) No home office possible
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Starling Bank

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.
  • 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.
  • Other info: We embrace diversity and encourage applicants from all backgrounds.

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.

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Retail Data Strategy Analyst 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.
Starling Bank

Contact Detail:

Starling Bank Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Retail Data Strategy Analyst

✨Tip Number 1

Familiarise yourself with Starling's 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 you embody these values in your work and decision-making.

✨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 current projects but also help you formulate relevant questions to ask during your interview, showcasing your genuine interest in their work.

✨Tip Number 3

Prepare for the technical interview by brushing up on SQL and Python skills, as well as familiarising yourself with Looker and dbt. Consider working on a small project that involves these tools to demonstrate your hands-on experience and problem-solving abilities.

✨Tip Number 4

During the interview process, approach it as a two-way conversation. Prepare thoughtful questions about the team dynamics, ongoing projects, and the company culture. This will not only show your enthusiasm but also help you assess if Starling is the right fit for you.

We think you need these skills to ace Retail Data Strategy Analyst

Extensive experience with SQL
Deep experience with handling data in Python
Dimensional modelling knowledge or willingness to learn
Experience with dbt
Familiarity with BI tools such as Power BI or Looker
Strong analytical skills
Ability to perform exploratory data analyses
Excellent communication skills
Creative thinking
Attention to detail
Collaboration skills
Problem-solving abilities
Adaptability to fast-paced environments

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Retail Data Strategy Analyst position. Tailor your application to highlight how your skills and experiences align with what Starling is looking for.

Highlight Relevant Skills: Focus on showcasing your extensive experience with SQL and Python, as well as any familiarity with BI tools like Looker or Power BI. Provide specific examples of how you've used these skills in previous roles to solve problems or improve processes.

Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for data and your understanding of Starling's mission. Mention how you can contribute to their goals and values, such as innovation and collaboration, and express your enthusiasm for the role.

Prepare for the Interview: Since the interview process is conversational, prepare thoughtful questions about the team and the company culture. Be ready to discuss your past experiences in detail, particularly those that demonstrate your problem-solving abilities and creativity.

How to prepare for a job interview at Starling Bank

✨Understand the Company Culture

Before your interview, take some time to research Starling's values and culture. They emphasise innovation, collaboration, and a flat structure, so be prepared to discuss how you align with these principles and how you can contribute to their mission.

✨Showcase Your Data Skills

As a Retail Data Strategy Analyst, you'll need to demonstrate your proficiency in SQL and Python. Be ready to discuss specific projects where you've used these skills, and consider preparing examples of exploratory data analyses you've conducted.

✨Prepare Thoughtful Questions

Interviews at Starling are conversational, so come armed with questions that show your curiosity about the role and the company. Ask about the team dynamics, ongoing projects, or how they measure success in the data department.

✨Emphasise Your Problem-Solving Abilities

Starling is looking for creative thinkers who can tackle challenges head-on. Be prepared to discuss how you've approached complex problems in the past, particularly in relation to customer behaviour and product trends, and how you proposed solutions.

Retail Data Strategy Analyst
Starling Bank
Location: London
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