At a Glance
- Tasks: Analyse data to support performance monitoring and drive continuous improvement.
- Company: Join Amey, a top employer committed to your growth and wellbeing.
- Benefits: Competitive salary, flexible benefits, training opportunities, and generous holidays.
- Other info: Diverse and inclusive culture with excellent career advancement opportunities.
- Why this job: Make a real impact on sustainability and operational efficiency.
- Qualifications: Strong analytical skills and experience with digital tools; GIS knowledge is a plus.
The predicted salary is between 30000 - 40000 € per year.
We are excited to offer a fantastic opportunity for a Data Analyst to join our dynamic Sheffield team at our Olive Grove Depot (S2 3GE). This role will be based on site. This position is a 12 month fixed-term contract. As a Data Analyst, you will play a key role in supporting the contract with accurate, timely, and meaningful data. Your analysis will help us monitor performance, identify opportunities for improvement, and deliver a high-quality service to our client. You’ll also contribute to our sustainability goals by supporting digital automation, reducing waste, and improving resource efficiency. This is a role where your work genuinely makes a difference, operationally, strategically, and environmentally.
What You’ll Do
- Develop reports and dashboards for daily, weekly, and monthly performance monitoring.
- Support ad hoc data requests from operational teams and management.
- Enhance GIS mapping tools to support contract tracking, clashing and planning.
- Drive continuous improvement through process optimisation and innovation capture.
- Promote a data-driven culture across the team and provide support where needed.
- Liaising with subcontractors to ensure programming data is up to date.
- Use digital tools for contract information and clash detection.
- Streamline processes to improve programming and productivity.
- Support digital tools such as PowerApps and SharePoint.
- Assist with dynamic planning to maximise operational efficiency.
- Support ongoing improvements within the team.
- Build digital capability across the wider team.
Why Join Us?
At Amey, we don’t just offer jobs, we offer opportunities to build fulfilling careers. As one of the top 1% of employers recognised by Investors in People, we are committed to your professional growth and wellbeing. Here’s what you can expect when you join our team:
- Competitive Salary: Enjoy a competitive annual salary with the potential for yearly reviews to ensure you’re rewarded for your contributions.
- Career Growth: Propel your career with clear, dynamic advancement opportunities.
- Training Opportunities: Unlock your potential with comprehensive training tailored to your growth.
- Personal Development Opportunities: Advance your personal growth through mentorship and access to our award-winning programs like our Leadership Development, Women@Amey, and Multicultural Leadership programs.
- Pension: Benefit from a generous pension scheme with company contributions for your future peace of mind.
- Holidays: Enjoy at least 24 days of holiday plus bank holidays, and the opportunity to buy further 5 days!
- Flexible Benefits: Customise your benefits package with options like additional leave, cycle-to-work schemes, charitable giving, and gym memberships.
- Exclusive Discounts: Access our online portal filled with discounts from leading retailers, healthcare services, and more, helping you save on the things that matter.
- Social Impact: Take part in our community initiatives with 2x paid volunteering days a year, plus other opportunities to support fundraising and local projects.
What You’ll Bring
- Strong analytical and problem-solving skills.
- Ability to manage multiple data sources and maintain data quality.
- Confidence working with digital tools and mapping systems.
- A collaborative mindset and passion for continuous improvement.
- An aptitude for IT and systems developments.
- Experience with GIS is desirable.
- Be able to work both independently and collaboratively to design and implement systems and reports.
If you’re ready to make a meaningful impact on our business and contribute to a shared, sustainable future, we invite you to join us in advancing our strategy and driving positive change.
Application Guidance
At Amey, we value a culture of diversity and inclusion. We encourage applications from individuals who are passionate about making a positive impact, no matter their background, gender, race, or personal circumstances. We believe everyone deserves the opportunity to shine. As a Disability Confident leader, we’re proud to offer applicants with a disability an interview if they meet the minimum requirements for the role. If you have any questions or need any adjustments during the recruitment process, don’t hesitate to reach out to our recruiter for this role, at jessica.patel1@amey.co.uk.
Data Analyst employer: Amey
Amey is an exceptional employer that prioritises your professional growth and wellbeing, offering a competitive salary, comprehensive training, and clear career advancement opportunities. Located in Sheffield, our Olive Grove Depot fosters a collaborative work culture where your contributions directly impact operational efficiency and sustainability goals, all while enjoying flexible benefits and a commitment to social responsibility.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by practising common data analyst questions. Think about how your skills can help improve processes and drive efficiency, just like they want in the job description.
✨Tip Number 3
Show off your analytical skills with a portfolio! Create a few sample reports or dashboards that demonstrate your ability to turn data into insights. This will make you stand out during interviews.
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Analyst role. Highlight your analytical skills and experience with digital tools, as these are key to what we’re looking for!
Showcase Your Skills:Don’t just list your skills; give examples of how you’ve used them in past roles. Whether it’s developing reports or enhancing GIS mapping tools, we want to see how you can make a difference!
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your qualifications and achievements at a glance.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently, so don’t miss out on this opportunity!
How to prepare for a job interview at Amey
✨Know Your Data Tools
Familiarise yourself with the digital tools mentioned in the job description, like PowerApps and SharePoint. Be ready to discuss how you've used similar tools in the past or how you would approach learning them quickly.
✨Showcase Your Analytical Skills
Prepare examples of how you've used data analysis to drive improvements in previous roles. Think about specific projects where your insights led to better decision-making or operational efficiency.
✨Understand GIS Mapping
If you have experience with GIS, be prepared to talk about it! If not, do a bit of research on how GIS mapping can enhance contract tracking and planning. Showing that you’re proactive about learning can really impress the interviewers.
✨Emphasise Collaboration
This role requires a collaborative mindset, so think of examples where you've worked well in a team. Highlight how you’ve supported others in achieving common goals, especially in data-driven projects.
