At a Glance
- Tasks: Analyse data and manage key retail accounts to drive growth.
- Company: Join Eco Green Living, a fast-growing sustainable brand.
- Benefits: Enjoy hybrid working, competitive salary, and performance bonuses.
- Other info: Clear pathway to National Account Manager with exciting projects.
- Why this job: Make a real impact in sustainability while developing your career.
- Qualifications: Strong analytical skills and a passion for sustainability required.
The predicted salary is between 42750 - 52250 £ per year.
Commercial Data Analyst & National Account Manager (Training Pathway)
Location
- Spinningfields, Manchester (Hybrid with flexible home working)
- Eco Green Living
Type
- Full-Time
- About Eco Green Living
Eco Green Living is a fast‑growing, BCorp pending, UK‑based, certified‑compostable household brand supplying retailers, distributors, and consumers across domestic and international markets.
We are a data‑driven, process‑focused, high‑growth FMCG business on a mission to remove eco‑guilt from everyday living.
Role Overview
We are seeking an ambitious, analytically minded individual to join our commercial team as a Commercial Data Analyst & National Account Manager (Training Pathway).
This hybrid role blends strong analytical capability with hands‑on account management to support and grow our key retail and distributor partnerships.
Key Responsibilities
- Data & Insight
- Analyse sales, category, pricing, forecasting, and customer performance data to identify growth opportunities.
- Build and maintain dashboards and reports using Excel, Power BI, Shopify, Amazon, and customer portals.
- Translate complex analytics into commercial recommendations.
- Support forecasting, promotional planning, and supply chain decisions.
- Conduct market, competitor, and category analysis.
- National Account Management
- Manage and grow relationships with UK retailers, wholesalers, and distributors.
- Support customer business reviews, proposals, and annual planning cycles.
- Execute commercial promotions and campaigns and deliver post‑evaluation reports.
- Monitor KPIs including revenue, margin, ROS, availability, compliance, and promotional success.
- Lead onboarding of new customers.
- Commercial Projects & Scale Support
Work directly with the founders on strategic initiatives, contribute to new product launches, go‑to‑market plans, and internal operational improvements.
- Required Skills & Experience
- Strong analytical background in FMCG, retail, e‑commerce, or distribution.
- Highly proficient in Excel and confident with data modelling.
- Strong commercial and financial awareness.
- Excellent communication and presentation skills.
- Tech‑savvy with experience using CRM and digital tools.
- Degree in Business, Data, Economics, Marketing, Finance, or similar.
- Experience with UK retailers or FMCG account management.
- Exposure to forecasting, pricing, or promotional planning.
- Knowledge of the household category or sustainability sector.
- Salary & Package
- Bonus: Performance‑based (10–15% typical range).
- Hybrid working: Spinningfields office + flexible home days.
- Clear career pathway to National Account Manager level.
- Personal Attributes
- Ambitious, data‑driven, and commercially minded.
- Comfortable in a scale‑up, fast‑paced environment.
- Detail‑oriented with strong organisational skills.
- Passion for sustainability.
- Seniority level
- Internship
- Employment type
- Full‑time
- Job function
- Information Technology
- Industries
- Manufacturing
- #J-18808-Ljbffr
Commercial Data Analyst & National Account Manager (Training Pathway) in Manchester employer: Eco Green Living
Eco Green Living is an exceptional employer located in the vibrant Spinningfields area of Manchester, offering a dynamic work culture that prioritises sustainability and innovation. With a strong focus on employee growth, the company provides clear career pathways and flexible hybrid working arrangements, ensuring a supportive environment for ambitious individuals looking to make a meaningful impact in the FMCG sector. Join us to be part of a mission-driven team that values data-driven insights and fosters collaboration across all levels.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Data Analyst & National Account Manager (Training Pathway) in Manchester
✨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 Eco Green Living!
✨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 Commercial Data Analyst & National Account Manager (Training Pathway) at Eco Green Living.
✨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 Eco Green Living.
✨Apply Directly through Our Website
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We think you need these skills to ace Commercial Data Analyst & National Account Manager (Training Pathway) 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 Eco Green Living, 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 Eco Green Living. 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 Eco Green Living
✨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 Eco Green Living!
✨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.
