At a Glance
- Tasks: Lead the design and delivery of enterprise-scale data solutions for strategic insights.
- Company: Join a globally recognised FMCG organisation driving digital transformation.
- Benefits: Competitive salary package, hybrid working, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and stakeholders across international markets.
- Why this job: Make a real impact in a fast-paced environment with cutting-edge data technologies.
- Qualifications: Experience in Azure Data Platform, SQL, Python, and managing enterprise data projects.
The predicted salary is between 90000 - 90000 € per year.
We’re partnering with a globally recognised FMCG enterprise investing heavily across Data, Analytics and Digital Transformation initiatives throughout Western Europe. This opportunity is ideal for an experienced Data / Analytics Manager with strong Azure Data Platform expertise, commercial awareness and enterprise delivery capability who enjoys operating across Business, Data and Technology functions within complex international environments.
The Data & Analytics Solutions Manager will play a key role in designing, delivering and evolving enterprise-scale analytics and data solutions that support strategic insight generation, commercial planning, reporting and data-led decision making across multiple regional markets. The role requires strong experience across Microsoft Azure technologies including Azure Databricks, Azure Data Factory, Azure Data Lake, Power Platform and modern cloud-based analytics environments, alongside strong SQL, Python and PySpark capability. Experience across enterprise data architecture, data pipelines, reporting solutions, KPI management, data modelling, analytics delivery and data governance is highly desirable.
The Data / Analytics Manager will work closely with regional business stakeholders, IT teams and Global Data functions to identify opportunities for improved analytics capability, scalable reporting solutions and enterprise data transformation initiatives. The role will also support regional rollout programmes, operational excellence, platform optimisation and continuous improvement across the wider analytics estate.
Strong stakeholder engagement and business partnering capability is essential, alongside experience managing enterprise data projects, third-party vendors, cross-functional teams and large-scale transformation initiatives within fast-paced commercial environments. Experience working within FMCG, Retail, Consumer Goods or similarly data-driven enterprise organisations would be highly advantageous.
Key technical exposure includes:
- Azure
- Databricks
- Azure Data Factory
- Data Lake
- SQL
- Python
- PySpark
- Power BI
- Power Platform
- CI/CD
- DevOps
- Enterprise Analytics
- Data Governance
- Reporting
- Data Visualisation
- Data Architecture
- Data Pipelines
- KPI Reporting
- Insight Generation
- Cloud Data Platforms
Excellent opportunity to join a global organisation delivering major investment across Data, Analytics and Digital Transformation within a modern Azure ecosystem.
Data and Analytics Solutions Manager in London employer: SSA Digital Recruitment
Join a globally recognised FMCG organisation that prioritises innovation and growth in the Data and Analytics space. With a hybrid working model, competitive salary package, and a strong focus on employee development, this role offers a unique opportunity to work at the forefront of digital transformation while collaborating with diverse teams across international markets. The company fosters a dynamic work culture that encourages creativity and continuous improvement, making it an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data and Analytics Solutions Manager in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and analytics space, especially those who work in FMCG or similar sectors. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure technologies, SQL, Python, and any other relevant tools. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of enterprise data architecture and analytics delivery. Be ready to discuss how you've tackled challenges in previous roles and how you can contribute to their data transformation initiatives.
✨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 and Analytics Solutions Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data and Analytics Solutions Manager role. Highlight your experience with Azure technologies and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and analytics, and how your background makes you a perfect fit for our team. Don’t forget to mention your experience in FMCG or similar sectors if you have it!
Showcase Your Technical Skills:We’re keen on your technical expertise, so make sure to list your skills in SQL, Python, and Azure tools clearly. If you’ve worked on enterprise data projects or have experience with data governance, let us know – we love seeing that!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at SSA Digital Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in the key technologies mentioned in the job description, especially Azure Databricks, Azure Data Factory, and SQL. Brush up on your Python and PySpark skills too, as you might be asked to solve a technical problem or discuss your past projects involving these tools.
✨Showcase Your Business Acumen
This role requires strong commercial awareness, so be prepared to discuss how your data solutions have driven business outcomes in previous roles. Think of specific examples where your analytics work has led to improved decision-making or operational efficiency.
✨Engage with Stakeholders
Since stakeholder engagement is crucial, come ready to talk about your experience working with cross-functional teams. Share stories that highlight your ability to communicate complex data insights to non-technical stakeholders and how you’ve built relationships across different departments.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in a fast-paced environment. Think about challenges you've faced in previous projects, particularly around data governance or enterprise data architecture, and how you overcame them. This will show your capability in managing large-scale transformation initiatives.
