At a Glance
- Tasks: Analyse customer behaviour in mobile banking and deliver actionable insights.
- Company: Join a dynamic team at a leading digital product consultancy.
- Benefits: Competitive daily rate, flexible location, and a collaborative work environment.
- Other info: Opportunity to work in an inclusive environment that values diverse perspectives.
- Why this job: Shape the future of mobile banking with your insights and storytelling skills.
- Qualifications: Strong SQL skills and experience in customer analytics required.
The predicted salary is between 40500 - 49500 £ per year.
Contract: 6 Months
Rate: Up to £600 per day (Max)
Location: Ideally Bristol, but open to Manchester, Leeds, or Cardiff
Overview
We're looking for an experienced Insight Analyst to join a Customer Analytics team embedded within a digital product environment. This is a backfill position supporting key mobile app propositions, specifically within the Savings and Upcoming Payments customer journeys. This role is focused on understanding customer behaviour within a mobile banking app, identifying how customers engage with products and features, and translating those insights into recommendations that shape product and design decisions.
The ideal candidate will be a strong communicator who can combine technical analysis with compelling storytelling, helping stakeholders understand not just what is happening, but why it is happening and what actions should be taken as a result.
Responsibilities
- Analyse customer behaviour across digital channels and mobile app journeys.
- Support optimisation of Savings and Upcoming Payments propositions.
- Use behavioural analytics to identify customer needs, opportunities and areas for improvement.
- Deliver actionable insights that influence product, design and business decisions.
- Partner with cross-functional stakeholders including Product, Design and Analytics teams.
- Present findings and recommendations in a clear, engaging and commercially relevant way.
- Drive evidence-based decision making through robust analysis and insight generation.
Essential Skills & Experience
- Excellent SQL skills.
- Strong analytical and problem-solving capabilities.
- Proven experience translating data into compelling stories and business recommendations.
- Strong stakeholder management and influencing skills.
- Experience working in customer, digital or product analytics environments.
- Ability to balance technical analysis with business-focused communication.
Desirable Skills & Experience
- Experience with data visualisation tools, ideally Tableau, though Power BI or similar tools are also welcomed.
- Experience working with cloud-based analytics environments.
- Exposure to GCP would be beneficial but is not essential.
- Python experience.
- Knowledge of statistical techniques and predictive modelling.
Ideal Candidate
- A true data storyteller rather than someone focused solely on reporting and dashboard creation.
- Comfortable working directly with stakeholders and influencing decisions through insight.
- Experienced in analysing customer behaviour and digital product adoption.
- Naturally curious about customer engagement and what drives usage of digital propositions.
- Able to convert complex data into straightforward recommendations for non-technical audiences.
- Experience in greenfield, start-up or scale-up environments would be highly attractive due to the proactive and exploratory nature of the role.
Senior Design Insight Analyst in Bristol employer: Pontoon
Pontoon is an excellent employer, offering a dynamic work culture that fosters creativity and collaboration in the heart of London. With flexible working arrangements and a strong emphasis on professional development, employees are empowered to grow their skills while contributing to innovative AI-driven solutions in the banking sector. Join us to be part of a team that values your input and encourages meaningful contributions to customer experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Design Insight Analyst in Bristol
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Pontoon before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Pontoon.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Pontoon.
We think you need these skills to ace Senior Design Insight Analyst in Bristol
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Pontoon, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Pontoon, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Pontoon’s attention and show the tangible impact of your work.
How to prepare for a job interview at Pontoon
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Pontoon.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Pontoon.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Pontoon.
