At a Glance
- Tasks: Lead data analytics initiatives and design innovative reporting solutions.
- Company: Dynamic tech company in London with a hybrid work culture.
- Benefits: Negotiable salary, flexible working, and opportunities for professional growth.
- Other info: Join a fast-paced environment with excellent career advancement opportunities.
- Why this job: Make a real impact by driving data solutions that shape business decisions.
- Qualifications: Strong experience in data management and analytics tools like SQL and Tableau.
The predicted salary is between 60000 - 80000 £ per year.
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.
- Exposure to Alteryx.
Data & Analytics Manager in Slough employer: psd group
Join a forward-thinking company in London as a Data & Analytics Manager, where you will thrive in a dynamic hybrid work environment that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to mentorship opportunities and the chance to lead impactful data initiatives that drive business success. Our inclusive work culture values your contributions and encourages continuous learning, making it an ideal place for professionals seeking meaningful and rewarding careers in data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Manager in Slough
✨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 using platforms like GitHub or even your own website to display your expertise.
✨Tip Number 3
Prepare for interviews by practising common questions related to data management and analytics. Think about how you can demonstrate your leadership and stakeholder management skills. We suggest doing mock interviews with friends or using online resources to get comfortable.
✨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. So, go ahead and take that step!
We think you need these skills to ace Data & Analytics Manager in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data & Analytics Manager role. 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 analytics and how you can contribute to our team. Don't forget to mention your experience in managing teams and delivering analytics solutions.
Showcase Your Technical Skills:We’re looking for someone with strong technical expertise. Be sure to include specific examples of your work with ETL pipelines, data warehousing, and any cloud-based platforms like BigQuery. This will help us see your hands-on experience!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Leadership Skills
As a Data & Analytics Manager, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've managed hybrid teams, mentored colleagues, or driven successful analytics initiatives in previous roles.
✨Understand the Business Context
Familiarise yourself with the insurance or financial services industry, especially regarding KPIs and reporting frameworks. This will help you align your technical expertise with the company's business goals during the interview.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills and ability to manage multiple priorities. Think of specific scenarios where you've had to balance competing demands or resolve incidents, and be ready to share those experiences.
