At a Glance
- Tasks: Analyse data to drive business decisions and enhance user engagement.
- Company: Join a pioneering fintech company focused on innovation and data-driven solutions.
- Benefits: Competitive salary, learning budget, flexible working, and mental health support.
- Other info: Diverse and inclusive workplace committed to personal and professional growth.
- Why this job: Make a real impact by transforming data into actionable insights for millions.
- Qualifications: 5+ years as a data analyst with strong Python and SQL skills.
The predicted salary is between 50000 - 60000 £ per year.
As a Data Analyst you will be fundamental to the business, squeezing as much insight, analysis and intelligence from the varied data we have available. Your findings will not only be vital in how we develop our models & products, how we engage our users and deliver technology that can provide a maximum benefit to the everyday person, but also be crucial in driving forward business decisions.
Your findings will play a vital role in shaping the development of our models and products, as well as in engaging our users and delivering technology for maximum benefit to the everyday person. Additionally, your insights will be crucial for driving forward business decisions.
As a leader in how data is used intelligently, we're pioneering exciting new opportunities and insights in an industry undergoing significant disruption, setting the standard for innovation and advancement.
Data at Bud
The data team is tasked with solving highly analytical problems to enable solutions that tangibly benefit the lives of millions of people. From what data we need to collect to solve problems, to working with that data to glean insights and guide our decision making, the analyst is a key resource at Bud that is highly valued. Data is key to our business and we need passionate analysts to help research and analyse data to push us forward.
What impact you will make
- Work with data scientists to design evaluate & monitor the performance of our models and algorithms
- Collaborate with data scientists, data engineers, and backend developers to solve client and user problems
- Work with data engineers to make sure that the right data is collected
- Help us understand our customers better so we can provide the right solutions to the right people
- Be responsible for end-to-end analysis of data, from data cleaning to extracting insights
- Responsible for the process of demonstrating value to prospective clients - expanding upon the tools and techniques Bud has already developed
- Design and develop novel ways to showcase and highlight key analysis from complex data sets
- Help drive forward both product & business strategy through your findings
A bit about you
- 5+ years of experience working as a data analyst
- Strong analytical skills, a great focus, with an attention to detail
- Strong Python (especially Pandas) & SQL skills are essential
- A good understanding of statistical methods
- Experience using visualisation tools such as Looker, Tableau, Superset, etc
- At least a basic understanding of machine learning and a keen interest to learn more
- A good grounding in data ethics
- Experience presenting analysis and insights to audiences from varying skill sets and backgrounds
- A great work ethic and a thirst for knowledge
Taking it to the next level
- Basic understanding of machine learning and a keen interest to learn
- Fluency in statistics
- A good understanding of Computer Science concepts
- Domain knowledge / experience in the Financial Services industry or experience at another Fintech company
Benefits
- Competitive Salaries. We benchmark all our roles based on the latest market data
- We’ll match pension contributions up to 5% through our scheme with Aviva
- Learning & Development Budget. £1,000 a year to accelerate your learning
- Career Progression. We have uniquely built out progression frameworks to help accelerate your growth and quarterly R&D days
- Mental Health Support. Online therapy and resources through our partners at Spill
- Wellbeing Allowance. A flexi-pot of £50 a month to use towards your wellbeing
- Private Medical Insurance through Vitality
- Flexible Working. We trust our team to get the job done and will support various flexible working arrangements as part of our hybrid approach, which includes our 60-day work abroad allowance
- Time Off. 25 days + bank holidays + additional time over the holiday season
- Parental Leave. We offer enhanced parental leave, as well as 5 days of paid fertility leave and 10 days of paid pregnancy loss leave as we know the journey to parenthood isn’t always straightforward
- Volunteering Leave. 2 paid days off a year to spend time on projects and initiatives that matter to you
Everyone is welcome
We are committed to building a more diverse team where everyone feels safe to be their best and most authentic selves, because we believe that these differences will make us grow and be better as a company and a team. We are always looking for people who have different backgrounds, experiences, and ways of thinking to help contribute to and grow our culture, and strongly encourage people of colour, lesbian, gay, bisexual, transgender, queer and non-binary people, parents, and individuals with disabilities to apply. We also encourage you to apply even if you don’t match every part of the job ad. As an equal opportunity employer we welcome everyone to our team and do not discriminate based on any applicable protected characteristics.
Data Analyst in London employer: Bud Financial
Bud Financial is an exceptional employer, offering a dynamic work environment that fosters growth and innovation. As a Financial Controller, you will benefit from a hybrid working model, allowing for flexibility while being part of a collaborative team focused on scaling operations and driving success in the SaaS sector. With opportunities for professional development and exposure to international finance, Bud Financial is committed to empowering its employees to thrive in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current data analysts or team members at Bud through LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data analysis projects. Use visualisation tools like Tableau or Looker to make your insights pop – it’s all about making your findings shine!
✨Tip Number 3
Ace the interview by being ready to discuss your analytical process. Be prepared to walk through how you clean data, extract insights, and present findings. We love seeing your thought process in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate analysts who want to make a difference with data.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Analyst role. Highlight your experience with Python, SQL, and any visualisation tools you've used. We want to see how your skills align with what we're looking for!
Showcase Your Analytical Skills:In your application, don’t just list your skills—give us examples! Share specific projects where you’ve used data to drive decisions or improve processes. This will help us see your analytical prowess in action.
Be Authentic:We value diversity and authenticity, so let your personality shine through in your application. Share your passion for data and how it can make a difference in people's lives. We want to know what makes you tick!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Bud Financial
✨Know Your Data Tools
Make sure you brush up on your Python, SQL, and any visualisation tools like Tableau or Looker. Be ready to discuss how you've used these in past projects, as this will show your practical experience and understanding of the tools that are crucial for the role.
✨Showcase Your Analytical Skills
Prepare to talk about specific analytical problems you've solved in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how your insights drove business decisions or improved processes.
✨Understand the Business Impact
Familiarise yourself with how data analysis can impact product development and user engagement. Be ready to discuss how your findings can shape strategies and drive forward business goals, showing that you understand the bigger picture.
✨Be Ready to Discuss Ethics
Data ethics is a hot topic, so be prepared to share your thoughts on it. Discuss how you ensure ethical considerations in your analysis and decision-making processes, demonstrating your commitment to responsible data use.
