Data Analyst

2 weeks ago


Cannock, United Kingdom CV-Library Full time

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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