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- Tasks: Join a team to create impactful product dashboards and enhance customer outcomes.
- Company: Pontoon Solutions is a leading employment consultancy focused on inclusivity and workplace improvement.
- Benefits: Enjoy hybrid working, flexible hours, and the chance to work with cutting-edge financial technology.
- Why this job: Be part of a data-driven initiative that enhances customer experiences across global markets.
- Qualifications: Proficiency in data analysis tools like Excel, Tableau, and Python is essential.
- Other info: This is a 9-month contract role with opportunities for creative collaboration.
The predicted salary is between 43200 - 72000 £ per year.
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.
My client powers businesses of all sizes to make, take and manage payments. They are a global leader in financial technology with unique capabilities to power omni-commerce. Whether online, in store or mobile, they are at the heart of great commerce experiences in 146 countries and across 135 currencies. They help our customers become more efficient, more secure and more successful.
They are looking for a Data and Analytics Manager to join the team on a 9 month contract. You will be working Monday to Friday 9am to 5pm with occasional out of hours to meet deadlines, the role is hybrid working being office based 2 days a week, 3 days working from home.
About this opportunity:
As part of their product management of longstanding products, they must evidence good outcomes for customers under Consumer Duty regulation. This role is to work as part of a small team enabling the upward reporting of this evidence to board level. They need to create a Product Dashboard template that will automatically pull through visualisations created by the Data Team and allow Product Managers to manually add text to provide context and rationale. The template also needs to produce automated outputs such as a hand off into an Excel sheet which helps drive board level reporting. This will include working with stakeholders to understand their needs, keeping them engaged as you develop the dashboard, and working to refine in order to best outcomes possible within our constraints. Creativity, communication and enthusiasm are key.
This activity is part of a wider initiative to create a suite of MI across the division’s longstanding customers who hold products across 7 product families. Their initiative includes sourcing the relevant data from multiple internal and external sources, creating visualisations to evidence good outcomes or identify areas with potential for customer harm, and support the division’s strategies to move to a data driven organisation and improve customer experience. Given the scale of work there may also be opportunities to support the team in other ways including creating the Visualisations, so ability to create in Tableau or PowerBI would be useful.
What you’ll need:
- Experience and proficiency in data analysis tools and software such as Excel and MACRO, and additional knowledge of Python, Tableau/Power BI and BigQuery.
- Experience and proficiency in business analysis techniques and tools, such as requirement analysis, business process improvement, agile working, Jira, and Confluence.
What they would like to see:
- Understand and document the business needs and goals, and the data requirements and expectations, of the stakeholders, and ensure that the data models and analysis meet the business and user needs and are aligned with the organizational goals and standards.
- Communicate and present data analysis results and recommendations to stakeholders, such as managers, clients, and partners, using methods such as reports, presentations, and storytelling.
- Collaborate with other data professionals, such as data visualisers, data scientists, and business analysts, to ensure data quality, consistency, and accuracy, and support business intelligence strategies with quantitative analysis.
- Identify and resolve any data quality, integrity, or performance issues, and any conflicts or gaps between the data and the business needs, using data modelling and analysis tools and techniques.
Please apply with an up-to-date CV which must show evidence of the above to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you.
Seniority level: Not Applicable
Employment type: Contract
Job function: Analyst and Consulting Banking and Financial Services
Strategy Manager employer: Pontoon Solutions
Contact Detail:
Pontoon Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Strategy Manager
✨Tip Number 1
Familiarise yourself with the specific data analysis tools mentioned in the job description, such as Excel, Tableau, and Power BI. Having hands-on experience or even a project to showcase your skills in these tools can set you apart from other candidates.
✨Tip Number 2
Engage with the company’s online presence, especially on platforms like LinkedIn. Follow their updates, comment on their posts, and connect with current employees. This can help you gain insights into their culture and values, which you can reference during your discussions.
✨Tip Number 3
Prepare to discuss how you’ve previously collaborated with stakeholders to understand their needs. Think of specific examples where your communication and creativity led to successful outcomes, as these are key qualities they’re looking for.
✨Tip Number 4
Brush up on your knowledge of Consumer Duty regulations and how they impact product management. Being able to speak confidently about this topic will demonstrate your understanding of the industry and show that you’re proactive in staying informed.
We think you need these skills to ace Strategy Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your proficiency in data analysis tools like Excel, Tableau, and Power BI, as well as your experience in business analysis techniques.
Showcase Your Communication Skills: Since the role requires presenting data analysis results to stakeholders, include examples in your application that demonstrate your ability to communicate complex information clearly and effectively.
Highlight Collaborative Experience: Mention any past experiences where you collaborated with data professionals or worked in a team setting. This will show your ability to work well with others and contribute to a data-driven organisation.
Include Relevant Projects: If you've worked on projects involving data visualisation or dashboard creation, be sure to include these in your application. Detail your role and the impact of your contributions to showcase your creativity and problem-solving skills.
How to prepare for a job interview at Pontoon Solutions
✨Know Your Data Tools
Make sure you are well-versed in the data analysis tools mentioned in the job description, such as Excel, Tableau, and Power BI. Be prepared to discuss your experience with these tools and how you've used them to drive business outcomes.
✨Understand Stakeholder Needs
Demonstrate your ability to understand and document business needs by preparing examples of how you've engaged with stakeholders in the past. Highlight your communication skills and how you ensure that data models align with organisational goals.
✨Showcase Your Creativity
Since creativity is key for this role, think of ways you've approached problem-solving in innovative ways. Be ready to share specific examples where your creative solutions led to improved outcomes or efficiencies.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your analytical thinking and problem-solving abilities. Practice articulating your thought process when faced with data quality issues or conflicts between data and business needs.
