At a Glance
- Tasks: Manage data projects, perform calculations, and deliver excellent customer service.
- Company: Join Ecoveritas, a leading Packaging Data consultancy in Oxford.
- Benefits: Enjoy a competitive salary, flexitime, pension, and store discounts.
- Other info: Hybrid role with opportunities for training and career growth.
- Why this job: Make a real impact on environmental sustainability through data analysis.
- Qualifications: Strong Excel skills, customer service experience, and ability to manage multiple projects.
The predicted salary is between 26000 - 26000 £ per year.
Salary: £26,000 - £26,000 per year
Requirements:
- A strong team player and comfortable working independently
- Highly numerate; confident and enjoy working with data
- Logical, clear thinker with the ability to think about materiality and work carefully with an excellent eye for detail
- Strong customer service skills and awareness
- Excellent organisational skills with the ability to manage multiple projects simultaneously
- Ability to prioritise workload and adhere to deadlines
- Confident using all MS Office packages, particularly MS Excel
- Confident liaising with external businesses via phone, email and face-to-face meetings
- Entitlement to work in the UK
- Experience working with large data sets
- Customer service experience: 1 year
- Microsoft Excel experience: 1 year
Responsibilities:
- Manage more complex or larger projects
- Perform calculations using large data sets, working with Excel and other in-house data management systems
- Work independently on projects with minimal supervision, including ownership of deadlines and delivery, and timely escalation where required
- Deliver great customer service for client-facing work, particularly on independent projects
- Suggest and implement changes to improve assigned projects
- Ensure quality and accuracy are maintained in project work completed
- Support the training and mentoring of new staff
- Contribute to a supportive, positive and energetic working environment that supports our mission and objectives
- Carry out other appropriate duties in support of our business goals
Technologies: Excel Support
This is a full-time hybrid role based in Oxford (OX4 2JY), and the position offers benefits including a company pension, flexitime, on-site parking, sick pay and a store discount.
StudySmarter Expert Advice🤫
We think this is how you could land Data Consultant
✨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 Ecoveritas Ltd!
✨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 Consultant at Ecoveritas Ltd.
✨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 Ecoveritas Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Data Consultant at Ecoveritas Ltd, 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 Consultant
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 Ecoveritas Ltd, 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 Ecoveritas Ltd. 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 Ecoveritas Ltd
✨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 Ecoveritas Ltd!
✨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.
