At a Glance
- Tasks: Lead and evolve analytics strategy to drive data-driven decision making.
- Company: Established financial services business with a focus on innovation.
- Benefits: Competitive salary, leadership opportunities, and a dynamic work environment.
- Other info: Join a team dedicated to transforming data into meaningful business outcomes.
- Why this job: Make a real impact by shaping strategic decisions through data insights.
- Qualifications: Experience in analytics, strong leadership skills, and commercial acumen.
The predicted salary is between 70000 - 90000 € per year.
We’re looking for an experienced and forward-thinking Senior Data Analytics Manager to lead and evolve the analytics capability for a well-established financial services business, helping shape strategic decision-making and improve outcomes for their customers. This is a high-impact leadership role where you’ll combine strategic insight, analytics excellence, and people leadership to embed a truly data-driven culture across the organisation.
The client is seeking someone with strong commercial acumen, engaging personality and the ability to drive change and influence up to Executive/ ExCo level.
As Senior Data Analytics Manager, you will:
- Develop and deliver the organisation’s Analytics Strategy aligned to business priorities and transformation goals.
- Establish and grow an Analytics Centre of Excellence, setting standards, governance, and best practices.
- Champion data-driven decision making across all levels of the organisation.
- Prioritise high-value analytics initiatives that deliver measurable business outcomes.
- Translate complex data into compelling stories and visualisations for non-technical audiences.
- Support the continued evolution of the organisation’s Microsoft Fabric data platform.
- Define analytics‑led requirements for curated datasets, semantic models, metrics, and analytical environments that support self‑service and advanced analytics.
- Lead and develop the analytics team (7-8 members).
A background in regulated environment such as banking, insurance or financial services would be highly regarded. If you are passionate about turning data into meaningful business impact and demonstrate how you can add value, please apply for immediate consideration.
Senior Manager Analytics in Nottingham employer: Synapri
Join a leading financial services firm that prioritises innovation and data-driven decision-making, offering a dynamic work culture where your insights can shape strategic outcomes. With a strong commitment to employee development, you will have access to extensive growth opportunities and the chance to lead a talented analytics team in a collaborative environment. Located in a vibrant city, this role not only promises meaningful work but also a supportive atmosphere that values your contributions and encourages professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager Analytics in Nottingham
✨Tip Number 1
Network like a pro! Reach out to connections in the financial services sector and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Senior Data Analytics Manager role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your analytics projects, especially those that demonstrate your ability to drive change and influence decision-making. This will help you stand out during interviews.
✨Tip Number 3
Stay updated on industry trends! Follow relevant blogs, podcasts, and news in the analytics and financial services space. This knowledge will not only impress interviewers but also help you engage in meaningful conversations.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Senior Manager Analytics in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Analytics Manager role. Highlight your leadership experience, analytics expertise, and any relevant achievements in financial services to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share your passion for data-driven decision-making and how you've successfully influenced change in previous positions. We love a good story!
Showcase Your Analytical Skills:In your application, don’t shy away from showcasing your analytical prowess. Include examples of how you've developed strategies or led initiatives that resulted in measurable business outcomes. We want to see your impact!
Apply Through Our Website:For the best chance of getting noticed, make sure to apply through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Synapri
✨Know Your Analytics Strategy
Before the interview, make sure you understand the key components of an effective analytics strategy. Be ready to discuss how you would align it with business priorities and transformation goals, as this is crucial for the role.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading teams and driving change. Think about specific instances where you've successfully developed a team or championed data-driven decision-making across an organisation.
✨Translate Data into Stories
Practice explaining complex data concepts in simple terms. You might be asked to present a case study or example, so being able to translate data into compelling stories will demonstrate your ability to engage non-technical audiences.
✨Familiarise Yourself with Microsoft Fabric
Since the role involves supporting the evolution of the Microsoft Fabric data platform, brush up on your knowledge of it. Be prepared to discuss how you would leverage this platform to enhance analytics capabilities within the organisation.
