At a Glance
- Tasks: Lead NRM analytics, focusing on pricing and promotions while collaborating with various teams.
- Company: Essity AB, a forward-thinking company in Didsbury with a European presence.
- Benefits: Competitive salary, travel opportunities, and a chance to work with senior stakeholders.
- Other info: Opportunity for cross-border work and professional growth in a dynamic environment.
- Why this job: Drive transformation through data-driven solutions and make a real impact in the industry.
- Qualifications: Experience in analytics, strong collaboration skills, and fluency in English.
The predicted salary is between 60000 - 70000 £ per year.
Essity AB in Didsbury (UK) and across Europe seeks a Net Revenue Management Insight & Analytics Manager to lead the development of NRM analytics, including pricing and promotions.
You will collaborate with IT, commercial teams and external partners to deliver data-driven solutions that drive transformation.
The role emphasizes adoption, system training and cross-border work with senior stakeholders. Travel up to 20-30% is expected; English fluency is essential.
Net Revenue Analytics & Insights Lead in Manchester employer: Essity AB
Essity AB in Prudhoe Mill is an exceptional employer, offering a supportive work culture that prioritises safety and continuous improvement. Employees benefit from comprehensive training opportunities, fostering professional growth while working with cutting-edge technology in a collaborative environment. The company's commitment to employee well-being and development makes it a rewarding place for those seeking meaningful careers in electrical maintenance.
StudySmarter Expert Advice🤫
We think this is how you could land Net Revenue Analytics & Insights Lead in Manchester
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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 Essity AB.
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We think you need these skills to ace Net Revenue Analytics & Insights Lead in Manchester
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 Essity AB, 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 Essity AB. 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 Essity AB
✨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 Essity AB!
✨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.
