Account Manager Data Analysis

Account Manager Data Analysis

Full-Time 29700 - 36300 £ / year (est.) No working from home possible
Valpak Corp

At a Glance

  • Tasks: Manage accounts and provide insights on environmental compliance to help customers make impactful changes.
  • Company: Valpak, a leader in environmental compliance with a friendly and supportive culture.
  • Benefits: Flexible hours, hybrid working, 25 days leave, gym membership, and a bonus plan.
  • Other info: Opportunities for professional growth and involvement in charity initiatives.
  • Why this job: Join a passionate team dedicated to sustainability and make a real difference in the world.
  • Qualifications: Strong data analysis skills, customer-focused approach, and excellent planning abilities.

The predicted salary is between 29700 - 36300 £ per year.

Valpak has created a friendly and supportive working environment that enables our team to perform to the best of their abilities, with flexible hours, hybrid working options, access to training and opportunities to get involved in various groups to nurture key interests.

With social value at the heart of our business ethos, employees can take a day on us to volunteer for an organisation of their choice, and our Charity Committee organises fundraising events for the employee nominated charity of the year.

Valpak endorses wellbeing and healthy lifestyles, offering subsidised gym membership, optional healthy living seminars and social events, encouraging cross team integration. Our team is passionate, friendly, approachable and dedicated to the business mission – to inspire businesses to do all they can to reduce their environmental impact. If you have an interest in sustainability and like the sound of all Valpak offers, we would love to hear from you!

As the UK’s leading provider of environmental compliance, Valpak strives to work together towards a profitable, sustainable, waste-free world. You will assist in driving this goal by supporting the delivery of accurate and timely data declarations as specified by environmental legislation and voluntary commitments. You will help support our customers to comply with environmental legislation and give insights to the packaging they handle, allowing them to make meaningful changes with confidence.

The Account Manager role is dual-focused and there are opportunities available to specialise in UK or international compliance.

Managing a portfolio of accounts and being the dedicated point of contact, you will:

  • Have a customer focussed approach that builds a strong working relationship with the customer, and provides excellent customer service
  • Liaise with compliance schemes, customers, and third parties to ensure compliance with a range of legislation and voluntary commitments
  • Build up knowledge of various compliance regulations and commitments via research/building relationships with contacts
  • Utilise your strong data analysis and excel background to articulate complex data problems/processes back to customers in a way that is easy to understand
  • Manipulate and analyse large volumes of data
  • Be proactive and possess a solution orientated problem solving ability to identify service development areas, supporting a culture of continuous improvement
  • Use your resource planning skills to ensure that all deliverable deadlines are planned and met to a high degree of accuracy
  • Advanced IT skills, particularly Microsoft Excel
  • Excellent planning, scheduling and organization skills
  • Full UK driving licence

Participation in our annual Incentive Plan (VIP) - up to 10% bonus

25 days annual leave plus bank holidays

Option to buy and sell up to 10 days annual leave

Access to voluntary benefits including private medical insurance, cycle to work scheme, 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

We reserve the right to bring forward the closing date of our job vacancies if we receive a suitable number of high-quality applications from which to make a shortlist. We recommend that you apply for our roles as soon as possible rather than wait until the published closing date.

Account Manager Data Analysis employer: Valpak Corp

Valpak is an exceptional employer that fosters a friendly and supportive work culture, offering flexible hours and hybrid working options to suit your lifestyle. With a strong commitment to employee wellbeing, you can enjoy benefits like subsidised gym memberships, generous annual leave, and opportunities for professional growth through training and involvement in charity initiatives. Join a passionate team dedicated to sustainability and make a meaningful impact while enjoying a rewarding career.

Valpak Corp

Contact Details:

Valpak Corp Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Account Manager Data Analysis

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Apply Directly through Our Website

When you find a suitable opening like Account Manager Data Analysis at Valpak Corp, 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 Account Manager Data Analysis

Data Analysis
Microsoft Excel
Customer Service
Compliance Knowledge
Problem-Solving Skills
Research Skills
Communication 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 Valpak Corp, 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 Valpak Corp. 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 Valpak Corp

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 Valpak Corp!

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.