At a Glance
- Tasks: Capture and report on contractor performance, identify trends, and conduct market research.
- Company: Join a dynamic Asset Commercial team focused on performance improvement.
- Benefits: Competitive salary, professional development, and collaborative work environment.
- Other info: Opportunity for career growth in a supportive team.
- Why this job: Make an impact by improving supply chain performance with data-driven insights.
- Qualifications: Experience in commercial analysis, SQL, and data visualisation tools required.
The predicted salary is between 40500 - 49500 £ per year.
We have an exciting opportunity to join our Asset Commercial team as a Commercial Data Specialist, capturing and reporting on NWG contractor performance, identifying performance trends and issues, and conducting market research on the broader industry supply chain to identify market issues, opportunities & constraints.
Reporting to the Senior Commercial Manager (Performance), you will manage performance metrics database (KPI’s) and report on suppliers performance metrics to support decision-making processes. You will collaborate with the commercial team to develop insights and recommendations for improving supply chain performance and provide data-backed recommendations aligned with NWG’s Asset strategy to improve commercial decision-making.
If you have experience in Commercial Analysis or similar, we want to hear from you. You will be able to manage and report on performance metrics and KPIs. You will have experience conducting research and analysis to identify supply chain issues and market constraints and you will be familiar with contractor management and performance evaluation processes.
You will be able to write complex SQL queries, stored procedures, and functions and be proficient with data visualisation tools like Tableau and Power BI. You will be proficient in Microsoft Excel, including advanced functions and pivot tables. You will understand designing, implementing, and maintaining data warehouses and you will have experience with ETL (Extract, Transform, Load) processes and tools.
Please note this role will require a DBS to be completed prior to employment.
Commercial Data Specialist in North East employer: EcoSolutions
Northumbrian Water Group is an excellent employer, offering a supportive work culture that prioritises employee development and well-being. As a Mobile Mechanical Technician in the picturesque County Durham, you will benefit from a dynamic work environment with opportunities for skill enhancement and career progression, all while contributing to essential services that impact the community positively.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Data Specialist in North East
✨Get Involved in Data Science Meetups
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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 EcoSolutions.
✨Apply Directly through Our Website
When you find a suitable opening like Commercial Data Specialist at EcoSolutions, 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 Commercial Data Specialist in North East
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 EcoSolutions, 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 EcoSolutions. 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 EcoSolutions
✨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 EcoSolutions!
✨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.