At a Glance
- Tasks: Manage and analyse large datasets to produce insightful reports for asset management.
- Company: Join IMH Recruitment, a leader in data analysis for asset management.
- Benefits: Earn £22.20 per hour with weekly pay and potential hybrid working options.
- Other info: Enjoy a dynamic work environment with opportunities for professional growth.
- Why this job: Make an impact by supporting capital investment planning and improving asset management systems.
- Qualifications: Experience with large datasets and strong analytical skills are essential.
IMH Recruitment is seeking a highly skilled Data Analyst to support the Asset Management team by managing large datasets, producing insightful reports, and maintaining key asset management systems for our client in Barnsley, S70.
Key Responsibilities:
- Manage, maintain and develop the Asset Management System.
- Analyse large datasets and produce reports, dashboards and KPI information.
- Lead data collection, validation and retention processes.
- Design and manage survey data collection programmes.
- Produce stock condition and energy performance reports.
- Support capital investment planning through detailed data analysis.
- Project manage contractors and external partners delivering data collection programmes.
- Maintain records and databases to ensure compliance with statutory requirements.
- Prepare reports and project updates for senior management and stakeholders.
- Ensure systems and processes comply with GDPR and data security requirements.
- Develop process documentation, training materials and service improvement plans.
- Work closely with internal teams, contractors and external stakeholders.
Requirements:
- Proven experience working with large datasets in a controlled environment.
- Strong analytical skills with the ability to interpret and present complex data.
- Experience producing reports, dashboards and performance information.
- Basic DBS Check is required for this role.
- Excellent IT skills and confidence using databases and management systems.
- Experience of project coordination or project management.
- Ability to manage workloads effectively and meet deadlines.
- Strong communication and stakeholder management skills.
- Knowledge of asset management systems and stock condition data is desirable.
- NEC Asset Management experience would be an advantage but is not essential.
Hours & Pay:
- Monday to Friday, 8:00am – 4:00pm (Hybrid working option might be available)
- £22.20 per hour
- Weekly pay via agency
Data Analyst employer: IMH Recruitment
IMH Recruitment is an excellent employer for Data Analysts, offering a dynamic work environment in Barnsley where you can thrive on managing large datasets and producing impactful reports. With a strong focus on employee growth, we provide opportunities for professional development and collaboration with internal teams and external partners, all while ensuring a supportive culture that values compliance and data security.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend local meetups or webinars, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, reports, and dashboards. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when analysing datasets and producing reports, as this will demonstrate your analytical skills effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with large datasets and analytical skills. We want to see how you've managed similar responsibilities in the past, so don’t hold back on those relevant details!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for our Data Analyst role. Mention specific projects or experiences that relate to asset management and data analysis.
Showcase Your Technical Skills:We’re looking for someone with strong IT skills, so be sure to mention any databases or management systems you’ve worked with. If you have experience with dashboards or reporting tools, let us know!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at IMH Recruitment
✨Know Your Data
Before the interview, brush up on your experience with large datasets. Be ready to discuss specific examples of how you've managed and analysed data in previous roles. This will show that you understand the core responsibilities of the Data Analyst position.
✨Showcase Your Reporting Skills
Prepare to talk about the reports and dashboards you've created. Bring along samples if possible, or be ready to describe the tools you used and the insights you derived. This will demonstrate your ability to produce insightful reports, which is key for this role.
✨Understand Asset Management Systems
Familiarise yourself with asset management systems and stock condition data. Even if you don't have direct experience, showing that you've researched these areas can impress the interviewers and highlight your proactive approach.
✨Communicate Effectively
Since strong communication skills are essential, practice explaining complex data in simple terms. Think about how you would present your findings to stakeholders who may not have a technical background. This will showcase your ability to engage with various audiences.
