Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data to drive business growth and create innovative strategies.
- Company: Dynamic analytics team within a market-leading organisation.
- Benefits: Competitive salary, flexible working, and opportunities for personal development.
- Why this job: Make a real impact with data-driven decisions in a collaborative environment.
- Qualifications: Strong analytical skills, creativity, and knowledge of SQL or SAS preferred.
- Other info: Join a fun, close-knit team with exciting challenges and career growth.
The predicted salary is between 36000 - 60000 £ per year.
We’re developing a market-leading strategy to help us lead the way with data, analytics, insight and decision making. Inspiring business growth and enabling our ability to make a positive difference to the lives of more customers is what we aim to do.
Partnering with our business and operations, our Analytics Team also has a large impact on our financial performance. It has 3 sub teams:
- Decision Science
This team create complex statistical models to solve business needs around ERC (Estimated Remaining Collections) forecasting, portfolio pricing and strategy optimisation – helping us to balance risk versus return.
- Portfolio Strategy & Data
Working closely with our Partner Management and Litigation teams, they aim to:
- Understand portfolio performance and support the business in delivering its targets by leveraging customer insights driven from internal and external data.
- Create new processes and data structures, in conjunction with our IT Development team, that are often underpinned by complex algorithms that help us rationalise our wealth of customer data. Processes such as trace, telephone number selection and the optimal customer journey.
- Customer Segmentation
With responsibility of ensuring our customer engagement strategies are delivered – and within our compliant, contractual and commercial framework – this team keeps abreast of internal and industry wide developments whilst maintaining the technical skills to interrogate our data warehouse. Over the last 12 months they have initiated over 1 million customer engagement strategies.
What do we look for?
You must like a challenge, have a head for figures and excellent technical, analytical and problem solving skills. A good communicator and creative thinker, you should also be able to show flexibility in collaborating different business operations and work independently and as part of a team. As everything we do is programming intensive, you’ll ideally have knowledge of SQL or SAS.
Why join us?
As we’re developing new models and strategies all the time, everyone at every level can make a big impact. A smart, friendly, close-knit team, we hold fun weekly meetings to share ideas and keep everybody up-to-date with what’s going on. So, if you’re looking for exciting new challenges in a fast-paced environment – join the team.
Analytics in Manchester employer: Arrow Global Group
Contact Detail:
Arrow Global Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the analytics field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, especially those involving SQL or SAS. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics problems and case studies. Practice explaining your thought process clearly – we want to see how you tackle challenges!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Analytics in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with our Analytics role. Highlight any experience with data analysis, statistical modelling, or programming languages like SQL or SAS. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about analytics and how your background makes you a great fit for our team. Be sure to mention specific projects or achievements that demonstrate your analytical prowess.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to solve real-world problems. Whether it's through complex statistical models or innovative data structures, we want to see your thought process and creativity in action!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Arrow Global Group
✨Know Your Numbers
Brush up on your analytical skills and be ready to discuss specific statistical models or data analysis techniques you've used in the past. This role is all about numbers, so showing your comfort with figures will impress the interviewers.
✨Understand the Business Impact
Be prepared to explain how your analytical work can drive business growth. Think about examples where your insights led to improved decision-making or financial performance, and share these stories during the interview.
✨Showcase Your Technical Skills
Since programming is a big part of this role, make sure you highlight your experience with SQL or SAS. If you have any projects or examples where you've used these tools to solve problems, bring them up to demonstrate your technical prowess.
✨Communicate Clearly
As a good communicator, you should practice explaining complex concepts in simple terms. The ability to convey your ideas clearly will show that you can collaborate effectively with different teams and stakeholders.
