At a Glance
- Tasks: Support eCommerce team with data analysis and administrative duties.
- Company: Join RKW Ltd, a growing eCommerce company celebrating 35 years in business.
- Benefits: Enjoy 25 days annual leave, staff discounts, and hybrid working options post-probation.
- Other info: Great opportunity for professional growth and learning in a supportive team.
- Why this job: Kickstart your career in data insights and make a real impact in a dynamic environment.
- Qualifications: 1-2 years office experience, strong Excel skills, and a proactive attitude.
The predicted salary is between 25000 - 25000 £ per year.
RKW Ltd is growing its E-Commerce team, with the appointment of an additional Data & Insights Assistant. We’re looking for someone with a commercial mindset, a head for numbers and experience with various Excel functions, with knowledge of Power BI an advantage, although BI training can be provided. The role will be to assist this key business function with all administrative duties working cross-functionally with other internal teams as well as liaising with customers as required.
Responsibilities:
- Proactively supporting eCommerce Data & Insights executive alongside the eCommerce Director(s) and National Account Managers with day-to-day account administration.
- Support in daily & weekly communications with internal teams.
- Set up, maintain & help analyse key reports & trackers on a weekly, monthly & quarterly basis.
- Open & monitor service tickets, to resolve catalogue and product issues, customer questions and item maintenance requests.
- Load promotional detail into the relevant app.
- Collect and organise data from customers.
- Monitor promotional activity, ensuring all promotional pages and banners are live, accurate, and functioning correctly.
- Additional ad-hoc duties as required by the business.
Requirements:
- 1-2 years of clerical/general office experience in a sales environment.
- A good understanding of Microsoft packages (Excel, Word, PowerPoint etc.)
- High attention to detail, with an ability to oversee and prioritize multiple projects and consistently meet deadlines.
- Excellent written and verbal communication skills.
- Capability to work both independently as well as in a cross-functional team environment.
- A proactive approach and willingness to learn.
Ideal Attributes:
- Results-driven attitude; a self-starter who thinks and participates effectively, both independently and as part of a team.
- Strong verbal and written communication skills, ability to articulate views crisply and convincingly.
- Takes action: proactive and resourceful in solving problems, making decisions and executing on goals.
- Owns results - follows through on commitments, takes responsibility, and produces quality results.
- Proactive and happy to work on own initiative.
- Strong work ethic.
- Good team player.
Company Benefits:
- 25 days' annual leave + Bank Holidays
- Free parking on all sites
- Staff discount on all our products
- Employee Assistant Program
- Refer a Friend Scheme
- Training and development
- Eye care allowance
- Exclusive discounts on cinema, holidays, days out, eating out and much more
- Long service incentives and rewards
- Hybrid working available, post-probation period.
Come and help us to celebrate 35 years of business.
Data & Insights Assistant in Stoke-on-Trent employer: RKW
Rkw in Stoke-on-Trent is an excellent employer, offering a supportive work culture that prioritises employee engagement and development. With benefits such as 25 days of annual leave and free parking, alongside ample opportunities for professional growth, Rkw fosters an environment where HR professionals can thrive while making a meaningful impact on the organisation's strategic initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Insights Assistant in Stoke-on-Trent
✨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 RKW!
✨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 Data & Insights Assistant at RKW.
✨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 RKW.
✨Apply Directly through Our Website
When you find a suitable opening like Data & Insights Assistant at RKW, 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 Data & Insights Assistant in Stoke-on-Trent
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 RKW, 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 RKW. 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 RKW
✨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 RKW!
✨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.
