At a Glance
- Tasks: Analyse and manage data to support strategic decision-making and improve information governance.
- Company: Join a forward-thinking organisation with a focus on data excellence.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a strong emphasis on best practices in information handling.
- Why this job: Make a real impact by enhancing data quality and supporting key business strategies.
- Qualifications: Experience in data management and proficiency in Power BI required.
The predicted salary is between 30000 - 40000 £ per year.
We are looking to strengthen our Data Management team with a Data Analyst based at the Hattersley office, with hybrid working available. You will report directly to the Head of Strategy and PMO, and the role's purpose is to develop, implement, manage, continually review and refine ESD’s information governance, and promote good practice in the management of all data pertaining to ESD's measured performance of prescribed activities.
Responsibilities
- Prepare and present reliable data for monthly Operational, JV Partner, and Strategic Board reports.
- Ensure alignment with client reporting tools to maintain a single version of the truth.
- Embed best practice in information acquisition, management, governance, and lifecycle control.
- Improve access to information and enable its effective reuse across the organisation.
- Promote information quality, integrity, compliance, and risk awareness.
- Maintain retention schedules and ensure statutory compliance in information handling.
- Monitor information management performance and report on compliance trends.
- Support the ESD Business Management System and contribute to BIM strategy development.
- Interface with all project stakeholders to ensure that data is exchanged effectively and in formats that support their onward purpose.
Qualifications
Experience:
- Experienced in the management of large databases and multiple sources of information, producing accurate and concise programme and project health‑check information.
- Experience performing a similar role in the execution of a high‑value capital programme or similar high‑volume data management post.
- Drivers' licence – Occasional travel within Scotland required.
Technical Competencies
- Proficiency with Power BI for reporting, dashboards, and data modelling.
- Experience using specialist information management platforms and Common Data Environments.
- SQL and database experience beneficial.
- Understanding of engineering design and project delivery, ideally in the Water or Utilities sector.
Behavioural Competencies
- Actively promotes collaborative working and uses appropriate digital tools to enable effective teamwork and knowledge sharing.
- Develops, promotes, and embeds best practice in how information is used, shared, and leveraged across the organisation.
- Has a good understanding of the different business requirements for protecting information and applies the appropriate standards and policies for handling, storing, disseminating and preserving it.
- Identifies, balances, and mitigates information management risks, ensuring alignment with organisational policies, strategies, and governance frameworks.
Data Analyst employer: MWH Treatment
At ESD, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. Our Hattersley office provides a supportive environment with hybrid working options, allowing for a healthy work-life balance. We are committed to employee growth, providing opportunities for professional development and the chance to contribute meaningfully to our data management initiatives in the Water and Utilities sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨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 MWH Treatment!
✨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 Analyst at MWH Treatment.
✨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 MWH Treatment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at MWH Treatment, 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 Analyst
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 MWH Treatment, 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 MWH Treatment. 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 MWH Treatment
✨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 MWH Treatment!
✨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.
