At a Glance
- Tasks: Plan and analyse workforce data to ensure optimal staffing for our contact centre.
- Company: Join Vets Now, the UK's leading emergency pet care provider.
- Benefits: Enjoy competitive salary, health cash plan, and your birthday off!
- Other info: Dynamic role with opportunities for personal and professional growth.
- Why this job: Make a real difference in pet care while developing your analytical skills.
- Qualifications: Strong analytical skills and proficiency in Microsoft Office required.
The predicted salary is between 31930 - 31930 £ per year.
Vets Now, part of inspiring vet care, are the UK’s leading provider of emergency pet care, providing a trusted service to more than 1700 veterinary practices, from dedicated out-of-hours clinics and 24/7 pet emergency hospitals. Our Client Care Service Team sits within the Customer Hub, supporting pet owners across the UK and connecting them with our daytime veterinary clinics. We're looking for a Resource Planner – Data Analyst to play a key role in ensuring we have the right people, in the right place, at the right time to deliver an excellent service.
Role: Resource Planner – Data Analyst
Location: Dunfermline Contact Centre
Hours: Monday to Friday, 08:00am - 16:00pm
Planning, Predicting and Making Things Happen
Reporting to the Contact Centre Manager, you'll take ownership of the day-to-day workforce planning and rota coordination requirements of our contact centre. Using our Workforce Management system, you'll build and maintain rotas, coordinate staffing levels to meet daily demand, manage annual leave thresholds and accurately process leave requests to support effective resource planning.
You'll also be responsible for maintaining workforce planning information, monitoring resource utilisation and preparing statistical reports and performance indicators. Working with historical contact data, you'll identify trends and patterns, forecast future demand and consider factors such as marketing campaigns and changing customer behaviours to help predict staffing requirements. Your analytical skills will be essential in turning complex data into meaningful insights. You'll produce accurate, comprehensive reports on contact centre performance and forecasting, highlighting opportunities and presenting findings to management and key stakeholders to support informed operational and strategic decisions.
The Skills Behind the Numbers
You'll bring strong Microsoft Office skills, excellent analytical ability and confidence working with data to identify trends and develop practical solutions. Experience with workforce management systems would be beneficial, alongside the ability to pick up new systems quickly. You'll also be highly organised, detail-focused and comfortable managing competing priorities in a fast-paced environment. Strong communication skills and the confidence to build relationships across all levels of the business are essential, alongside a positive, proactive approach to problem-solving.
What You’ll Get in Return
- Your birthday off – paid
- Health cash plan via Simply Health
- Pension contributions: 5% employee / 3% employer
- Up to 50% off pet care for your own pets
- Death in service cover – two times annual salary
- Access to our employee wellbeing programme
- Company sick pay and enhanced maternity, paternity, and adoption leave
Be part of a team, where every conversation matters – Apply Now. If you're ready to join a purpose-driven company where your role makes a real difference to pets and their owners, we’d love to hear from you.
Resource Planner – Data Analyst in Dunfermline employer: Ivc
IVC Evidensia is an exceptional employer that prioritises the well-being and professional growth of its employees, offering a supportive work culture that values diversity and inclusion. With a commitment to work-life balance, generous annual leave, and unique benefits like a dog-friendly office and discounted pet care, employees can thrive in a fulfilling environment while making a meaningful impact on animal welfare across Europe and North America.
StudySmarter Expert Advice🤫
We think this is how you could land Resource Planner – Data Analyst in Dunfermline
✨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 Ivc!
✨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 Resource Planner – Data Analyst at Ivc.
✨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 Ivc.
✨Apply Directly through Our Website
When you find a suitable opening like Resource Planner – Data Analyst at Ivc, 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 Resource Planner – Data Analyst in Dunfermline
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 Ivc, 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 Ivc. 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 Ivc
✨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 Ivc!
✨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.
