At a Glance
- Tasks: Deliver data submissions and provide expert advice on producer responsibility legislation.
- Company: WasteRecruit supports leaders in the circular economy with data-driven solutions.
- Benefits: Agile Working policy allows 3 days home-based work and 2 days in the office.
- Other info: Occasional travel within the UK to customer sites is necessary.
- Why this job: Join a successful Data Services team working with household-name businesses.
- Qualifications: Experience in data analysis and customer service is required.
The predicted salary is between 35000 - 45000 £ per year.
WasteRecruit are pleased to be supporting a leader in the circular economy in their continued growth as they look to recruit a Data Services Account Manager to join their successful Data Services team. The post-holder will be dealing with household-name businesses, navigating increasingly complex environmental regulations such as extended producer responsibility (EPR). The company provides leading expertise, data-driven solutions and take-back programmes that simplify EPR.
The Data Services team’s tasks include:
- Delivering Packaging, WEEE, Battery and Plastic Packaging Tax submissions on behalf of customers
- Providing expert advice to customers on producer responsibility legislation
- Maintaining a database of product and packaging weights and information
- Managing accuracy and age of information on the database
- Conducting targeted data gathering activities
- Supporting customers at regulatory compliance audits
- Compiling and analysing data
- Driving, shaping and delivering strategic goals
- Developing relationships with customers, suppliers and other stakeholders.
The role of the Data Services Account Manager is to:
- Ensure that customer submissions are completed to legal reporting deadlines
- Account Manage Data Service customers
- Ensure day-to-day customer issues are managed appropriately
Candidate requirements:
- Experience of data analysis, manipulation and reporting
- Understanding of environmental producer responsibility sector is preferable
- Experience of customer service or account management
- Organised, methodical and self-motivated
- Good relationship builder
- Computer proficiency
- High standard of data accuracy and attention to detail
- Inclusive team-working attitude
Location: The company has offices in the West Midlands and their Agile Working policy anticipates a combination of office-based (2 days per week) and home-based working (3 days per week). The position also requires occasional travel within the UK to customers’ sites.
Data Services Account Manager in Leicester employer: Wasterecruit
WasteRecruit is located in the West Midlands and offers an Agile Working policy. The company focuses on simplifying environmental regulations for clients, making a significant impact in the circular economy sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Services Account Manager in Leicester
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We think you need these skills to ace Data Services Account Manager in Leicester
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!
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How to prepare for a job interview at Wasterecruit
✨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!
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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
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✨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.
