At a Glance
- Tasks: Lead and evolve analytics strategies to drive data-driven decision making.
- Company: Established financial services firm with a focus on innovation.
- Benefits: Competitive salary, leadership opportunities, and a dynamic work environment.
- Other info: Opportunity to lead a talented team and influence at executive levels.
- Why this job: Make a real impact by shaping strategic decisions through data insights.
- Qualifications: Experience in analytics and leadership, preferably in financial services.
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 Manager in Nottingham employer: Synapri
As a Senior Data Analytics Manager at our well-established financial services business, you will thrive in a dynamic and inclusive work culture that prioritises innovation and professional growth. We offer competitive benefits, including flexible working arrangements and opportunities for continuous learning, ensuring you can develop your skills while making a significant impact on strategic decision-making. Join us in fostering a data-driven environment where your expertise will be valued and your contributions will directly influence the success of our organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Manager in Nottingham
✨Tip Number 1
Network like a pro! Reach out to connections in the financial services sector, especially those who work with data analytics. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best analytics projects. Use visuals and stories to demonstrate how your insights have driven change and improved outcomes in previous roles.
✨Tip Number 3
Ace the interview by being ready to discuss your strategic vision for analytics. Think about how you would develop an Analytics Strategy that aligns with business goals and be prepared to share examples of how you've done this before.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analytics Manager in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Analytics Manager role. 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 about your passion for data-driven decision making and how you've influenced change in previous roles. Keep it engaging and make sure to connect your skills with what we’re looking for.
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. We love seeing how you can make data accessible to non-technical audiences!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
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 during the interview, 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.
