At a Glance
- Tasks: Lead data analytics initiatives and design impactful dashboards and reporting solutions.
- Company: Join a forward-thinking IT & Operations team focused on data-driven decision making.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a chance to mentor teams and work with cutting-edge technologies.
- Why this job: Make a real difference by driving analytics that shape business strategies.
- Qualifications: Strong background in data management, BI tools, and leadership skills required.
The predicted salary is between 60000 - 80000 £ per year.
Department: IT & Operations – Data & Analytics
Reporting To: AVP, Data Analytics
Role Summary
Seeking an experienced Data & Analytics Manager to lead the development and delivery of enterprise data solutions and analytics initiatives. The role combines technical leadership, stakeholder collaboration, and hands‑on oversight of analytics platforms, reporting solutions, and data engineering capabilities.
Key Responsibilities
- Lead enterprise data analytics and reporting initiatives aligned with business goals.
- Design and oversee dashboards, analytical models, ETL pipelines, and data platforms.
- Collaborate with business and technology teams to integrate analytics into core operations.
- Manage and mentor hybrid onshore/offshore data and analytics teams.
- Oversee project estimation, delivery planning, code quality, documentation, and testing.
- Drive best practices in data warehousing, lakehouse architecture, metadata management, and deployment processes.
- Support production stability, incident resolution, and root cause analysis.
- Ensure governance, audit readiness, and compliance across analytics solutions.
- Work with external vendors and technology partners on analytics delivery.
Required Skills & Experience
- Strong experience in enterprise data management, BI, and analytics delivery.
- Expertise in SQL Server, SSIS, SSRS, Tableau, Python, and ETL/data warehousing concepts.
- Experience with BigQuery, Vertex AI, and cloud‑based analytics platforms.
- Strong understanding of dimensional modeling, data pipelines, and reporting frameworks.
- Excellent stakeholder management, communication, and leadership skills.
- Ability to manage multiple priorities in a fast‑paced environment.
Preferred
- Experience within insurance or financial services environments.
- Knowledge of insurance reporting, KPIs/KRIs, and finance data models.
Data & Analytics Manager employer: psd group
As a leading employer in the IT and Operations sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Data & Analytics Manager to drive impactful enterprise solutions. Our commitment to employee growth is evident through continuous learning opportunities and mentorship from experienced leaders, all while working in a dynamic environment that values creativity and excellence. Located in a vibrant area, we offer competitive benefits and a supportive atmosphere that encourages work-life balance, making us an exceptional choice for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and analytics field. Attend industry meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work in data analytics. Whether it’s dashboards, reports, or projects, having tangible examples can really set you apart. We recommend sharing this on platforms like LinkedIn to grab attention.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with SQL Server, Tableau, and ETL processes. We suggest doing mock interviews with friends or using online resources to practice common questions in the data analytics space.
✨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 about their job search. Let’s get you that Data & Analytics Manager role!
We think you need these skills to ace Data & Analytics Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data & Analytics Manager. Highlight your experience with SQL Server, Tableau, and any relevant analytics projects you've led. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and analytics, and how your leadership experience can help us drive our initiatives forward. Keep it engaging and personal!
Showcase Your Technical Skills:Don’t just list your technical skills; demonstrate them! If you’ve worked on ETL pipelines or data warehousing, share specific examples. We love seeing how you’ve applied your expertise in real-world scenarios.
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 don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at psd group
✨Know Your Data Tools
Make sure you brush up on your knowledge of SQL Server, Tableau, and Python. Be ready to discuss how you've used these tools in past projects, especially in relation to ETL processes and data warehousing. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Leadership Skills
As a Data & Analytics Manager, you'll need to lead teams and manage projects. Prepare examples of how you've successfully mentored team members or led analytics initiatives. Highlight your stakeholder management skills and how you've collaborated with both business and technology teams.
✨Understand the Business Context
Familiarise yourself with the insurance or financial services industry, especially if you have experience in these areas. Be prepared to discuss how data analytics can drive business goals and improve decision-making. This will demonstrate your ability to align analytics with core operations.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to data governance, incident resolution, or project delivery. Think through your approach to these scenarios beforehand, focusing on best practices and how you would ensure compliance and audit readiness in your solutions.
