NRM Excellence Lead - Growth & Data Insights in Manchester

NRM Excellence Lead - Growth & Data Insights in Manchester

Manchester Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Essity

At a Glance

  • Tasks: Lead NRM transformation and implement data-driven processes for sustainable growth.
  • Company: Essity, a leader in the FMCG sector with a focus on innovation.
  • Benefits: Competitive salary, career development opportunities, and a dynamic work environment.
  • Other info: Opportunity to work with analytical tools like Power BI.
  • Why this job: Drive impactful change and collaborate with Sales and Marketing teams.
  • Qualifications: Extensive FMCG experience and strong stakeholder engagement skills.

The predicted salary is between 60000 - 80000 £ per year.

Essity is seeking a Net Revenue Management Excellence Manager to lead NRM transformation across various markets. This pivotal role drives behavioural change and implements data-driven processes within the Commercial Development team.

The ideal candidate has extensive FMCG experience, NRM expertise, and excellent stakeholder engagement skills. You will collaborate with Sales and Marketing and ensure the adoption of analytical tools like Power BI to unlock sustainable growth.

NRM Excellence Lead - Growth & Data Insights in Manchester employer: Essity

Essity is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the dynamic field of Net Revenue Management. With a strong focus on employee development, you will have access to extensive growth opportunities and cutting-edge analytical tools like Power BI, all while working in a supportive environment that values your contributions to sustainable growth across various markets.

Essity

Contact Details:

Essity Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land NRM Excellence Lead - Growth & Data Insights in Manchester

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Apply Directly through Our Website

When you find a suitable opening like NRM Excellence Lead - Growth & Data Insights at Essity, 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 NRM Excellence Lead - Growth & Data Insights in Manchester

Net Revenue Management (NRM)
FMCG Experience
Stakeholder Engagement
Data-Driven Processes
Analytical Tools
Power BI
Collaboration Skills

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, 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. 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

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

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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!

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.