Data Analyst
2 weeks ago
Salary: Competitive plus Veolia benefits
Hours: 40 hours per week
Location: Kingswood House
Kingswood Crescent
Cannock
Staffordshire
WS11 8JP
When you see the world as we do, you see the chance to help the world take better care of its resources and help it become a better place for everyone.
As a Data Analyst you'll be pushing for innovative solutions to create a more sustainable future for all. We know that everyone here at Veolia can help us work alongside our communities, look after the environment, and contribute to our inclusive culture.
What we can offer you;
25 days of annual leave plus bank holidays
Access to our company pension scheme
Free physiotherapy service
Discounts on everything from groceries to well known retailers
Access to a range of resources to support your physical, mental and financial health; so you can lean on us whenever you need to
Ongoing training and development opportunities, allowing you to reach your full potential
What you'll be doing;
Collaborate with cross-functional teams for data needs and analytical support
Develop and maintain relationships with colleagues across business units
Present complex data findings to non-technical stakeholders clearly
Mentor and support new team members in data analysis techniques
Continuously update knowledge in technical, business, and operational areas
Stay informed about stakeholder needs, market trends, and industry developments
Apply updated knowledge to daily tasks, ensuring analyses align with company goals
Demonstrate proactivity and self-motivation in managing workload
Work independently on complex analytical tasks
Understand when to seek guidance or approval for significant decisions
What we're looking for;
3-5 years of experience in data analysis, preferably in asset management or a related industry
Advanced Excel / Google Sheets skills including pivot tables, macros, lookups, JavaScript and/or App Script
Familiarity with statistical analysis and modelling techniques
Experience in translating data insights into actionable business recommendation
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field
Asset management principles and practises
Asset management system experience
We know how important it is to be fully committed to building and maintaining a diverse and inclusive place to work for every one of our colleagues. We are committed to ensuring that all job applicants and members of staff are treated equally, without discrimination because of sex, gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, nationality, ethnic or national origin, religion or belief, disability or age.
We therefore welcome and encourage all candidates who meet the minimum requirements to apply
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