At a Glance
- Tasks: Design Power BI dashboards and automate processes to enhance decision-making.
- Company: Join Marks & Spencer Plc, a leader in the retail industry.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving productivity through AI and insights.
- Why this job: Shape business priorities with your analytical skills and innovative tech.
- Qualifications: Experience with Power BI and automation tools is essential.
The predicted salary is between 60000 - 80000 £ per year.
Marks & Spencer Plc is seeking a Project Insights & Automation Lead to enhance decision-making across M&S Foods project teams. You will design Power BI dashboards, automate processes using PowerApps, and explore AI to improve productivity. The role combines analytical skills with strong reporting capabilities to deliver insights that shape business priorities.
Key responsibilities include:
- Building dashboards for performance visibility
- Automating manual tasks
- Translating complex data into actionable insights
Candidates should possess significant experience with Power BI and automated tools.
Delivery Insights & Automation Lead (Power BI & AI) employer: Marks & Spencer Plc
Marks & Spencer Plc is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the vibrant setting of M&S Foods. Employees benefit from comprehensive training and development opportunities, enabling them to grow their skills in cutting-edge technologies like Power BI and AI. With a commitment to enhancing productivity and decision-making, M&S offers a rewarding environment where your contributions directly impact business success.
StudySmarter Expert Advice🤫
We think this is how you could land Delivery Insights & Automation Lead (Power BI & AI)
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Delivery Insights & Automation Lead (Power BI & AI)
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 Marks & Spencer Plc, 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 Marks & Spencer Plc. 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 Marks & Spencer Plc
✨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 Marks & Spencer Plc!
✨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.
