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 chance to shape the future.
- Other info: Dynamic role with travel required and a chance to lead a talented team.
- Why this job: Make a real impact by transforming data into strategic 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. Requires 2x days travel per week into the office.
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.
Data Analytics Strategy Lead — CoE & Transformation in Nottingham employer: Synapri
As a leading financial services provider, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Our commitment to innovation and excellence in data analytics not only empowers our team members to drive impactful change but also offers unique opportunities for professional advancement within a supportive environment. With a focus on collaboration and strategic insight, we ensure that every employee plays a vital role in shaping the future of our organisation while enjoying the benefits of flexible working arrangements and a strong emphasis on work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Strategy Lead — CoE & Transformation 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 hunt for a Senior Data Analytics Manager role. A friendly chat can lead to insider info or even a referral, which can give you a leg up.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your analytics projects and how they’ve driven business outcomes. When you get the chance to chat with potential employers, share these stories to demonstrate your impact and strategic insight.
✨Tip Number 3
Be ready to discuss your vision! In interviews, articulate how you would develop and deliver an Analytics Strategy that aligns with business priorities. This shows you’re not just about the numbers but also about driving change and influencing at all levels.
✨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, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Data Analytics Strategy Lead — CoE & Transformation in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Data Analytics Manager. Highlight your experience in developing analytics strategies and leading teams, as well as any relevant achievements in financial services. We want to see how you can bring value to our organisation!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data-driven decision making and how your background aligns with our needs. Be engaging and show us your personality – we love a good story!
Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical skills. Provide examples of how you've translated complex data into compelling stories or visualisations. This will help us see your ability to communicate insights effectively, which is key for this role.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Synapri
✨Know Your Analytics Strategy
Before the interview, make sure you understand the company's current analytics strategy and how it aligns with their business priorities. Be ready to discuss how you can contribute to evolving this strategy and driving data-driven decision-making.
✨Showcase Your Leadership Skills
As a Senior Data Analytics Manager, you'll need to lead a team effectively. Prepare examples of how you've successfully led teams in the past, particularly in high-pressure environments. Highlight your ability to influence stakeholders at all levels, especially at the Executive level.
✨Translate Data into Stories
Practice explaining complex data concepts in simple terms. During the interview, be prepared to share examples of how you've turned data insights into compelling narratives that resonate with non-technical audiences. This will demonstrate your ability to champion data-driven decision-making.
✨Understand the Regulatory Landscape
Since the role is within a regulated environment, brush up on relevant regulations in banking or financial services. Be ready to discuss how you’ve navigated these regulations in previous roles and how they impact analytics initiatives.
