The Role
Manage, cleanse, validate, and collate environmental compliance data for assigned accounts. Ensure submissions meet country-specific regulatory requirements and deadlines, analyze weights and trends, support customers and account representatives, and improve data processes and automation. The role requires strong Excel skills, organization, communication, problem-solving, and the ability to learn complex environmental regulations.
Summary Generated by Built In
As the UK’s leading provider of environmental compliance, Valpak strives to work together towards a profitable, sustainable, waste-free world. To date, our teams work in partnership with more than 400 customers, in nearly every corner of the globe.
Valpak contributes to achieving the mission of Reconomy’s complete global compliance offering – Comply Loop. Solving increasingly complex environmental regulatory challenges using data, expert local knowledge, and through leadership to drive business accountability across the globe.
Our core values drive everything we do. We believe in promoting a supportive environment for our colleagues, delivering exceptional service to our customers, contributing to the community, and working towards a more sustainable environment. If you share these values and are passionate about making a positive impact, we'd love to have you on our team.
About the role
The EPR Data Consultant will work alongside our Customer Representatives who act as the customer facing touchpoint, to ensure all data submissions are submitted to a high standard. The successful candidate will be responsible for manipulating and collating final data submissions under a variety of different country regulations, including but not limited to, waste packaging, waste electrical and electronics (WEEE), waste batteries and textiles. With support from International Compliance Advisors/Consultants, they will quickly develop a good knowledge of the relevant environmental waste compliance regulations, ensuring that all US data obligations are met for accounts.
The candidate will work closely with the Customer Representatives and will maintain a good knowledge of the relevant account in order to ensure data submitted to the relevant authorities complies with legal requirements and regulations. They will also work together to ensure that the customer is receiving a high level of service overall.
The ideal candidate will be confident working in both a busy team environment and on their own initiative. As a newly developed team, this will be an exciting opportunity to develop and contribute towards a rapidly growing Valpak service.
Key Accountabilities
Management Of Data For Allocated Accounts
- Work alongside the customer facing account manager to ensure that compliance data is accurate and submitted on time
- Work with the data teams to ensure all data submissions are completed to a high standard
- Ensure that all required environmental data (including but not limited to weights information) is collated appropriately
- Ensure data received from customer contains necessary information
- May involve some telephone/email support to suppliers
Data Cleansing And Maintenance
- Become an expert in utilising in-house software system (EPIC) which inputs and analyses weights information
- Manipulate data into relevant format for each country/regulation
- Use various tools to consistently check and improve on the accuracy of data
- Use data skills to provide useful information for accounts such as swings analysis and trends
Maintain a strong knowledge of the international environmental regulations across a variety of countries
- Work alongside the Customer Representatives ts to understand and maintain a strong knowledge of data requirements and scoping in relevant countries
- Develop and maintain a good knowledge of activities and obligations for relevant accounts
- Perform data checks for all accounts, to ensure all submissions are as accurate as possible and consistently improved
Contribute to consistently improving and innovating the International Data Service
- Proactively seek out opportunities to make efficiencies and further develop the service
- Inspect and advance current procedures
- Optimise data automation practices
What we need from you
Skills
- Advanced IT skills, particularly Microsoft Excel (VBA or other coding knowledge desirable)
- Ability to quickly take on large quantities of technical information
- Excellent planning, scheduling and organization skills
- A customer focused approach
- Collaborative working style
- Solution orientated problem solving ability
- Excellent communication skills, both written and verbal
- A knowledge of analysing and manipulating large volumes of data is desirable
- An interest in environmental issues is desirable
Qualifications
- Educated to Degree level
What we offer
- Dual Location / Hybrid worker Status
- Participation in our annual Incentive Plan (VIP) - up to 10% bonus
- 25 days annual leave plus bank holidays, volunteering day and your birthday off!
- Option to buy and sell up to 9 days annual leave
- Access to voluntary benefits including private medical insurance, cycle to work scheme, and subsidised gym membership
- Automatic inclusion in Life Assurance, Critical Illness and Disability Income protection schemes
- Pension scheme up to 8% employer contribution
- Access to reward & discount platform
- Wellbeing initiatives
About
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Skills Required
- Advanced IT skills, particularly Microsoft Excel
- VBA or other coding knowledge
- Ability to quickly learn large quantities of technical information
- Planning, scheduling, and organizational skills
- Customer-focused approach
- Collaborative working style
- Solution-oriented problem-solving ability
- Excellent written and verbal communication skills
- Experience analyzing and manipulating large volumes of data
- Interest in environmental issues
- Degree-level education
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The Company
What We Do
Reconomy is an international circular economy specialist that provides resource management, environmental compliance, and sustainable returns services. They help businesses transition from linear to circular models, focusing on waste reduction, resource optimization, and sustainability.
