At a Glance
- Tasks: Lead the BI Analytics Engineering team and develop innovative reporting solutions.
- Company: Join a leading retail company with a commitment to inclusivity and innovation.
- Benefits: Enjoy generous discounts, retirement savings, and enhanced family leave.
- Other info: Be part of a supportive culture that values diversity and personal growth.
- Why this job: Make a real impact in a fast-paced environment while driving data-driven decisions.
- Qualifications: Advanced skills in Power BI, SQL, and experience in stakeholder management.
The predicted salary is between 60000 - 75000 £ per year.
Contract: Permanent
Location: Nottingham, Beeston
Responsibilities
- Support the development and delivery of complex, performant semantic models that underpin our company wide business intelligence reporting.
- Set the strategic direction for the BI Analytics Engineering team, whilst continuously improving delivery and keeping up to date with industry innovations and changes in your specialism.
- Drive a culture where information proactively contributes to the development of the business.
- Promote and champion new approaches and innovative techniques that promote a best-in-class Analytics Engineering team.
- Work closely with our BI Delivery, Business Partnering, Agile Release Train and other teams to influence the BI roadmap, and deliver new reports accurately and on time.
- Manage our legacy on-premise reporting system and lead the transition to a fully cloud based stack.
- Identify resource requirements and where needed recruit, manage and develop individuals.
- Establish and enforce best practices for version control (Git), documentation, data testing, and deployment automation (CI/CD) across the data stack.
Qualifications
- Advanced proficiency in Power BI, with hands-on experience in semantic modelling and DAX.
- Deep understanding of Kimball data modelling concepts like star schemas.
- Advanced SQL skills and proficiency in Python or PySpark for data manipulation, ideally within a Databricks environment.
- Experienced senior stakeholder manager with proven ability to explain technical activities to non-technical colleagues.
- Solutions-focused mindset that thrives in a fast-paced and evolving environment.
- Passionate and organised leader with excellent data literacy, strong analytical and problem-solving skills.
- Ability to work in the grey and manage complex, competing demands and multiple senior stakeholders.
- Critical thinker with outstanding influencing skills to promote ideas and move others toward a common vision or goal.
- Ability to work in an omni-channel environment with the capacity to see the bigger picture, get to the heart of the problem and drive the right decisions at pace.
- Understanding of data security and governance.
Preferred Additional Experience
- Understanding of the retail environment.
- Experience working in an outsourced environment, managing work across geographies.
- Experience with Excel VBA.
- Experience of agile and Scrum frameworks.
Benefits
- Boots Retirement Savings Plan (up to 6% company contribution).
- Generous employee discounts for you and a family member.
- Enhanced maternity/paternity/adoption leave pay.
- Access to free, 24 hour counselling and support through TELUS Health, our Employee Assistance Programme.
- Other benefits and discounts (exclusions may apply; eligible roles only).
We are proud to be an equal opportunity employer, creating a place where everyone feels welcome, supported, and free to be themselves. We believe that when our people feel valued and included, they thrive.
Analytics Engineering Manager in London employer: Boots
As an Analytics Engineering Manager at our Nottingham, Beeston location, you will join a forward-thinking team that champions innovation and continuous improvement in business intelligence. We offer a supportive work culture with generous employee benefits, including a robust retirement savings plan and discounts for you and your family, all while fostering an environment where diversity is celebrated and personal growth is encouraged. With opportunities to lead strategic initiatives and influence the BI roadmap, this role provides a meaningful platform for professional development in a dynamic and evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineering Manager in London
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Boots!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Analytics Engineering Manager in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Boots, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Boots
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Boots’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
