At a Glance
- Tasks: Analyse data to drive insights and improve customer experiences across our brands.
- Company: Join a dynamic team at MoneySuperMarket Group, making a real difference for millions.
- Benefits: Enjoy up to 27 holidays, a bonus scheme, and work-from-anywhere flexibility.
- Other info: Access mentorship and training opportunities to grow your skills and career.
- Why this job: Be part of a creative team using cutting-edge tech to influence business decisions.
- Qualifications: Experience in data analytics and proficiency with tools like SQL and Tableau.
The predicted salary is between 35000 - 45000 £ per year.
Every day, we push beyond expectations to help millions of people save money, at a time when it’s never mattered more. Through MoneySuperMarket, MoneySavingExpert, Quidco and our B2B partnerships we supply products to more than 24 million unique monthly visitors, helping UK households to save billions of pounds a year.
Creative, collaborative, ambitious – it’s hard work. But what makes it worth it? Leaving work knowing we’ve made a difference to our customers, users, and to each other. Put our distinct brands together with our dedicated colleagues and you’ve got a workplace with lots of personality. We’re open-minded, diverse, and love our differences. Everyone plays a part, and comes together to work hard, go beyond, and make sure everyone feels they belong.
WHY JOIN THE TEAM?
Understanding data and using it to improve customer experience are critical pillars of MoneySuperMarket Group’s success, leading to an extensive investment in people and capabilities within our Group Data function. The Data Analytics team plays an essential role in helping the business achieve its goals and are actively involved in identifying unique areas where data can add more value to our customers. We use machine learning, data-driven experimentation, and analytics techniques with a tech stack involving Google Cloud Platform (GCP), GitHub, DBT and Tableau to gain insight into user behaviour, and optimise marketing and user experience. Far more than number crunchers, MoneySuperMarket data analysts influence the direction of the company through actionable data-driven insight.
RESPONSIBILITIES
- Work pro-actively within the data analytics team to deliver high impact projects that will empower people across the business to make data-driven decisions by building self-serve reports and recommendations.
- Deliver actionable insights across MoneySuperMarket, MoneySavingExperts and QuidCo brands.
- Build relationships with stakeholders and ensure your work is communicated across the business.
- Present findings and recommendations tailored to the relevant audience.
- Troubleshoot and optimise existing data sources.
- Work together with Data Engineers to productionise valuable output from your projects to commonly used data tables.
- Support and be supported by other data analysts, data scientists and data engineers through knowledge sharing and upskilling.
- You will learn and grow your capabilities by working with the latest technology and services, in particular the Google Cloud Platform.
- Working on a cross-functional team, you will learn and grow your capabilities in areas such as statistics, data storytelling, web, and mobile app technologies and machine learning.
QUALIFICATIONS
- 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-dimensionality data from varying sources and formats.
- Be detail oriented and adept in resolving bugs in SQL code and data cross checks.
- Adept at data visualisation.
- Be able to communicate complex quantitative analysis in a clear, precise, and actionable manner to senior management.
BENEFITS
- Up to 27 holidays + bank holidays
- Pension up to 6% employer contribution
- Bonus scheme
- Digital Doctor on demand
- Work from anywhere scheme – 2 weeks per year
- Financial coaching
- Mental health platform access
INVESTMENT IN YOU
Mentorship, training, and opportunities to expand your skill set, including access to an individual LinkedIn Learning license with over 16,000 courses.
Data Analyst in City of Westminster employer: MONY Group
At MoneySuperMarket Group, we pride ourselves on being a creative and collaborative workplace where every team member contributes to making a real difference for our customers. As a Data Analyst, you'll enjoy a supportive culture that values diversity and encourages personal growth through mentorship and access to extensive training resources. With benefits like a generous holiday allowance, flexible working options, and a commitment to your professional development, you'll find a rewarding environment that empowers you to thrive in your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in City of Westminster
✨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 MONY 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 MONY 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 MONY Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at MONY 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 in City of Westminster
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 MONY 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 MONY 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 MONY 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 MONY 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.
