At a Glance
- Tasks: Lead the Analytics Engineering team to enhance Boots' business intelligence and data modelling.
- Company: Join Boots, a forward-thinking company that values innovation and teamwork.
- Benefits: Career growth opportunities, skill development, and a collaborative work culture.
- Other info: Be part of a culture that champions collaboration, innovation, and inclusion.
- Why this job: Make a real impact in a dynamic environment while shaping the future of data at Boots.
- Qualifications: Experience in Power BI, SQL, and strong leadership skills required.
The predicted salary is between 60000 - 75000 £ per year.
Are you ready to take your career to the next level? At Boots, we're on the lookout for an Analytics Engineering Manager to join our dynamic Technology team in Nottingham, Beeston. This is your chance to make a real impact in a company that values innovation and collaboration.
As an Analytics Engineering Manager within the Data and Business Intelligence team, you will be accountable for the automation and data modelling that underpins Boots' Enterprise Business Intelligence reports, supporting the businesses in achieving its strategic goals. You will also play a key role, along with our architecture team, in shaping the future roadmap of Power BI within The Boots Group, ensuring our usage of Power BI is aligned closely with our technology and data strategies.
As part of the Data & BI extended leadership team, you will design and manage our ways of working, understand your team's acceptance into and handoff delivery requirements.
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.
- 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 is highly preferred, ideally within a Databricks environment.
- An experienced senior stakeholder manager with proven ability to explain technical activities to non-technical colleagues.
- A 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.
- A critical thinker with outstanding influencing skills to promote your ideas and move others toward a common vision or goal.
- Ability to work in an omni-channel environment with the ability 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.
- Understanding of the retail environment.
- Experience of working in an outsourced environment, managing work across geographies.
- Experience with Excel VBA.
- Experience of agile and Scrum frameworks.
At Boots, we believe in your potential. You'll have the opportunity to grow your career, develop your skills, and make a meaningful impact on our business and the communities we serve. We work every day to build a brilliant Boots for our people so they can make a difference for our customers and colleagues every time. You'll be part of a culture that values collaboration, innovation, and inclusion.
Analytics Engineering Manager in Beeston employer: Boots UK
At Boots, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the heart of Nottingham, Beeston. As an Analytics Engineering Manager, you'll not only lead a talented team but also have access to extensive career development opportunities, ensuring your skills grow alongside our business. Join us to make a meaningful impact while enjoying a supportive environment that values diversity and encourages new ideas.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineering Manager in Beeston
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Boots UK!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analytics Engineering Manager at Boots UK.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Boots UK.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Engineering Manager at Boots UK, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analytics Engineering Manager in Beeston
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Boots UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Boots UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Boots UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Boots UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
