At a Glance
- Tasks: Work with data to deliver insights that drive decisions and optimise user experience.
- Company: Leading digital payment company focused on saving money for households.
- Benefits: Up to 27 holidays, remote work options, financial coaching, and mental health support.
- Other info: Inclusive culture with opportunities for growth and learning.
- Why this job: Join a dynamic team using cutting-edge tech to make a real impact.
- Qualifications: Experience in data analytics, SQL, and BI tools like Tableau.
The predicted salary is between 35000 - 45000 £ per year.
We are a leading digital payment company that helps millions of households save money. Our data analytics team uses machine learning, experimentation and analytics techniques on the Google Cloud Platform, GitHub, DBT and Tableau to understand user behaviour and optimise marketing and user experience.
WHAT YOU WILL BE DOING
- Work pro‑actively with the analytics team to deliver high‑impact projects that empower people across the business to make data‑driven decisions by building self‑serve reports and recommendations.
- Deliver actionable insights across the MoneySuperMarket, MoneySavingExperts and QuidCo brands.
- Build relationships with stakeholders and communicate findings and recommendations to the relevant audience.
- Troubleshoot and optimise existing data sources.
- Collaborate with Data Engineers to productionise valuable output from your projects into commonly used data tables.
- Support and be supported by other data analysts, data scientists and data engineers through knowledge sharing and upskilling.
- Learn and grow your capabilities with the latest technology, including statistics, data storytelling, web and mobile app technologies and machine learning.
WHAT WE LOOK FOR
- Previous professional experience in data analytics.
- Experience with BI reporting tools such as Tableau or PowerBI.
- Experience with app analytics tools such as Google Analytics.
- A good working knowledge of SQL.
- Experience with code development tools such as GitHub and DBT.
- Experience in managing stakeholder work requests.
- Comfortable manipulating and analysing complex, high‑volume, high‑dimensional data from varying sources and formats.
- Detail‑oriented and adept at resolving bugs in SQL code and data cross‑checks.
- Adept at data visualisation.
- Ability to communicate complex quantitative analysis in a clear, precise and actionable manner to senior management.
WHAT REWARDS ARE ON OFFER
- Up to 27 holidays plus bank holidays.
- Employer pension contribution up to 6%.
- Bonus scheme.
- Digital Doctor on demand.
- Work from anywhere scheme – 2 weeks per year.
- Financial coaching.
- Mental health platform access.
OUR COMMITMENT TO INCLUSION
We are committed to minimising systemic bias and creating a level playing field for all candidates. We welcome reasonable accommodations in the application process and encourage all applicants to share their needs without disclosing any disability or condition.
Data Analyst employer: Moneysupermarket Group
As a leading digital payment company, we pride ourselves on fostering a dynamic work culture that prioritises innovation and collaboration. Our Data Analysts enjoy a wealth of benefits, including generous holiday allowances, a robust pension scheme, and opportunities for professional growth through cutting-edge technology and knowledge sharing. With a commitment to inclusion and employee well-being, we empower our team to thrive both personally and professionally in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Moneysupermarket Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Moneysupermarket Group.
✨Leverage Professional Networks
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 Moneysupermarket Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Moneysupermarket Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Moneysupermarket Group, 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 Moneysupermarket Group. 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 Moneysupermarket Group
✨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 Moneysupermarket Group!
✨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.
