Summary
Job Description
Data Analyst (Pricing)
Location: Thorpe Park, Leeds, Hybrid working.
Join us as a Data Analyst! You’ll play a key role in helping us make informed, responsible investment decisions. You’ll carry out detailed data analysis and valuations on UK debt portfolios, using tools like SAS to build a clear picture of each opportunity. Working closely with our Deal Team, you’ll bring together different perspectives to shape robust models and recommendations, before confidently presenting your insights to stakeholders, including our Investment Committee. You’ll ensure all work meets our strong governance and risk standards, while also supporting wider projects through high-quality, on-demand analysis when it’s needed most.
What we are looking for:
Degree in economics, business, or a quantitative field (or equivalent experience)
Some experience or exposure to data analysis (through work or study)
Familiarity with programming tools such as SAS is helpful but not essential
Strong analytical mindset with a natural curiosity to explore data and uncover insights
Motivation to develop your skills and turn complex data into clear, high-quality analysis
Enjoys problem solving and applying a solutions-focused approach to support business growth
If you’re excited about this role but don’t meet every requirement – don’t worry, still apply. Your unique perspective could be just what we’re looking for.
What you’ll get:
A discretionary annual bonus to reward your impact
3% flexible benefits that you can tailor to suit your lifestyle, whether that’s extra cash, more holiday, or added health cover.
Hybrid working for the best of both worlds—collaboration and focus.
Free onsite parking, saving you time and money.
Recharge and refresh opportunities with 28 days of holiday plus public holidays, and the option to buy up to five more—giving you more time for what matters most.
Peace of mind with life assurance that supports your loved ones, no matter what.
A culture that celebrates you and supports your wellbeing – with recognition awards, access to on-site gym facilities, and a variety of wellbeing initiatives offered throughout the year to help you stay balanced, resilient and feeling your best.
Encouragement to be your authentic self at work by joining one of our vibrant employee networks—like Rise (Gender), Proud (LGBTQIA+), Culture, or Spark (Neurodiversity & Disability) - and connect with a community that celebrates and supports you.
So, who are we?
We’re on a mission to make credit work better for all.
We buy debt from lots of different companies in all kinds of sectors. We treat people with dignity, helping customers pay off their Lowell debt in practical and affordable ways.
According to The Sunday Times, we’re one of the best places to work in the UK, (we’re proud to be on their ‘Best Places to Work’ list for the third-year running). Why? Because of the people who work here. Warm, welcoming, and super-talented. It’s our people that make us great.
We celebrate and share success, learn from failure, embrace change, and savour challenge.
Join us and from day one you’ll have a voice in one of the most dynamic companies in the UK finance sector. Our new colleagues tell us they love the support we give them and the recognition they receive for a job well done. And wherever you are in Lowell, you’ll be making a difference to the lives of millions of people going through tough times.
Ready to join us?
At Lowell, we’re committed to helping you grow—both personally and professionally. We provide the tools, support, and opportunities you need to shape your career and thrive.
We welcome people from all backgrounds and experiences. Whatever your identity - culture, gender, sexual orientation, religion, ethnicity, age, neurodiversity, or disability - if you're passionate about making credit work better for everyone, we’d love to hear from you. Our strength lies in our people, and we’re proud to build inclusive teams supported by benefits that help everyone succeed.
Apply today and grow your career in a team that values your insight.
If you need help with your application or have any questions about the adjustments we can make to support you during the recruitment process, please contact a member of the Lowell Talent Team, who’ll be more than happy to support you.
#HYBRID
Data Analyst (Pricing) in Leeds employer: Group Shared Services
At Lowell, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions inclusivity and personal growth. Located in the scenic Thorpe Park, Leeds, our hybrid working model allows for a perfect balance of collaboration and focus, while our comprehensive benefits package, including flexible perks and wellness initiatives, ensures that our employees feel valued and supported. Join us to make a meaningful impact in the finance sector, where your contributions are recognised and celebrated, and where you can thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Pricing) in Leeds
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Group Shared Services when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Group Shared Services.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Group Shared Services.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Group Shared Services’s career page, where your unique skills can shine in their entry-level data science openings!
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Group Shared Services, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Group Shared Services aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Group Shared Services
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
