At a Glance
- Tasks: Analyse complex data to produce insights and enhance products and services.
- Company: Join a forward-thinking bank committed to inclusivity and innovation.
- Benefits: Enjoy a competitive salary, hybrid work options, and a supportive team environment.
- Why this job: Make a real impact through data storytelling and innovative problem-solving.
- Qualifications: Curiosity for research, proficiency in PowerBI/Tableau, and coding skills in SQL/Python required.
- Other info: Background checks will be conducted for all hires.
The predicted salary is between 36000 - 60000 £ per year.
Duration: 6 Months (Possibility for extension)
Location: Leeds/Hybrid (2 days on site)
Rate: A highly competitive Umbrella Day Rate or Salary is available for suitable candidates
Role Overview
As a Data Analyst, you will play a pivotal role in interpreting complex data to produce high-quality information, analysis, and research. Collaborating with teams across Modern Workplace and the wider bank, you'll leverage data and customer research to enhance our products and services, ensuring they are accessible and impactful.
Key Responsibilities:
- Perform standard data management tasks using established procedures to support team initiatives.
- Conduct data deep dives, extracting insights from both structured and unstructured data sources to inform recommendations.
- Review, interpret, and challenge data to identify key drivers, risks, and opportunities.
- Collaborate with various feature teams to build comprehensive data sets that address key commercial questions.
- Produce high-quality reports, dashboards, and visualisations that facilitate informed decision-making.
- Ensure data accuracy, integrity, and security across all analyses and reports.
Skills & Experience:
- You possess a curiosity for research and design, with a desire to make a meaningful difference for colleagues.
- Your passion for data and storytelling drives you to solve problems innovatively through analytical insights.
- You excel in communication, effectively influencing both technical and non-technical audiences while crafting intuitive visuals to convey your findings.
- You bring creativity and imagination to the table, consistently seeking innovative and agile approaches to challenges.
- Proficiency in low-code PowerBI and/or Tableau.
- Strong data visualisation skills, with the ability to tailor communication methods to suit your audience.
- Experience in coding with SQL and other scripting languages, such as Python.
- A track record of seeking out new data sources and employing innovative techniques to manipulate data effectively.
Candidates will need to show evidence of the above in their CV in order to be considered.
If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team.
We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset.
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment.
Data Analyst employer: Pontoon
Contact Detail:
Pontoon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in data analysis and visualisation tools like PowerBI and Tableau. Being able to discuss recent updates or features during your interview can demonstrate your passion and commitment to staying current in the field.
✨Tip Number 2
Prepare to showcase your problem-solving skills by thinking of specific examples where you've used data to drive decisions. Be ready to explain your thought process and the impact of your findings on previous projects.
✨Tip Number 3
Practice explaining complex data insights in simple terms. Since you'll be communicating with both technical and non-technical audiences, being able to tailor your message will set you apart from other candidates.
✨Tip Number 4
Network with professionals in the data analysis field, especially those who work in similar roles. Engaging in conversations about their experiences can provide valuable insights and may even lead to referrals for the position.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Analyst role. Emphasise your proficiency in data visualisation tools like PowerBI and Tableau, as well as your coding experience with SQL and Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and storytelling. Mention specific projects or experiences where you successfully extracted insights from data and how it impacted decision-making.
Showcase Your Analytical Skills: In your application, provide examples of how you've conducted data deep dives and produced high-quality reports or dashboards. Highlight any innovative techniques you've used to manipulate data effectively.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any errors or inconsistencies. Ensure that your communication is clear and professional, as this reflects your attention to detail.
How to prepare for a job interview at Pontoon
✨Showcase Your Data Storytelling Skills
As a Data Analyst, your ability to tell a story with data is crucial. Prepare examples of how you've transformed complex data into clear insights and recommendations. Use visuals to demonstrate your findings, as this will resonate well with both technical and non-technical audiences.
✨Demonstrate Your Technical Proficiency
Be ready to discuss your experience with tools like PowerBI, Tableau, SQL, and Python. Consider preparing a mini-project or case study that highlights your skills in data visualisation and analysis. This will not only show your technical abilities but also your passion for data.
✨Prepare for Data Deep Dives
Expect questions that require you to analyse data on the spot. Brush up on your analytical thinking and be prepared to interpret data sets quickly. Practising with sample data can help you feel more confident in discussing key drivers, risks, and opportunities during the interview.
✨Emphasise Collaboration and Communication
Since the role involves working with various teams, highlight your collaborative experiences. Share examples of how you've effectively communicated complex data insights to different stakeholders. This will demonstrate your ability to influence decisions and work well within a team.