At a Glance
- Tasks: Lead a project to enhance vehicle efficiency using data analysis and Power BI.
- Company: Join a forward-thinking council committed to sustainability and innovation.
- Benefits: 12-month contract with opportunities for professional growth and impactful work.
- Other info: Collaborative environment focused on reducing waste and improving efficiency.
- Why this job: Make a difference by supporting climate strategies and optimising fleet performance.
- Qualifications: Experience in data analysis, project management, and strong communication skills.
The predicted salary is between 40000 - 50000 £ per year.
We are looking for a Senior Information Analyst to join our team for 12 months. This role will lead the Council’s vehicle utilisation and productivity efficiency project, utilising data to make informed decisions, working with Fleet Services and service areas across the Council to identify and implement opportunities to reduce wastage and spending. You will carry out in-depth performance and financial analysis of data generated from fleet systems, including telematics, fleet management, fuel and others to identify efficiency opportunities as well as establish PowerBI dashboards for longer-term monitoring. It is envisaged this role will also support the Council’s Climate Strategy and Council Emissions Reduction Plan ensuring the performance of electric vehicles etc is monitored and understood to support sound data-based decisions are made for future fleet replacement.
Your Responsibilities
- Project leadership: Manage the vehicle utilisation and productivity efficiency project, applying project management methodologies and working with stakeholders to achieve key milestones and deliverables.
- Power BI and analytics: Lead the design, creation and maintenance of high-quality dashboards and datasets that provide a single version of the truth for vehicle utilisation and productivity that can drive the efficiency project as well as long-term management.
- Evidence-based advice: Provide clear, expert advice to managers and senior leaders, helping them understand what the data is telling us and where we need to focus our efforts.
- Strategic communications: Translate complex findings into simple, visual formats for diverse stakeholder groups, ensuring your insights are accessible to everyone.
Senior Information Analyst - Waverley Court employer: The City of Edinburgh Council
Join a forward-thinking Council that prioritises sustainability and efficiency, where your role as a Senior Information Analyst will directly contribute to impactful projects like the Climate Strategy and Emissions Reduction Plan. Enjoy a collaborative work culture that values data-driven decision-making, with ample opportunities for professional growth and development in a supportive environment. Located at Waverley Court, you will be part of a team dedicated to making a difference in the community while utilising cutting-edge tools like PowerBI to drive meaningful change.
Contact Details:
The City of Edinburgh Council Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Information Analyst - Waverley Court
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis and project management. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your skills effectively.
✨Tip Number 3
Showcase your analytical skills by bringing examples of your work to interviews. Whether it’s a Power BI dashboard or a case study of a previous project, having tangible evidence of your capabilities can really impress hiring managers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Information Analyst - Waverley Court
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Information Analyst role. Highlight your experience with data analysis, project management, and any relevant tools like Power BI. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our vehicle utilisation and productivity efficiency project. Keep it engaging and personal!
Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical skills. Share examples of how you've used data to drive decisions or improve processes in previous roles. We love seeing real-world applications of your expertise!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at The City of Edinburgh Council
✨Know Your Data Inside Out
As a Senior Information Analyst, you'll be working with various data sources. Make sure you brush up on your knowledge of fleet systems, telematics, and financial analysis. Be prepared to discuss how you've used data to drive decisions in the past.
✨Showcase Your Project Management Skills
This role involves leading projects, so highlight your experience with project management methodologies. Think of specific examples where you've successfully managed a project from start to finish, especially those that involved multiple stakeholders.
✨Master Power BI
Since you'll be creating dashboards, it's crucial to demonstrate your proficiency in Power BI. Bring examples of dashboards you've created before, and be ready to explain how they helped in decision-making processes.
✨Communicate Clearly and Effectively
You'll need to translate complex data into simple insights for diverse audiences. Practice explaining your findings in layman's terms, and think about how you can visually represent data to make it more accessible during the interview.
