At a Glance
- Tasks: Bridge business needs with tech solutions, focusing on data management and dashboard development.
- Company: AtkinsRéalis, a leader in engineering and project management.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with cross-functional teams and diverse projects.
- Why this job: Make a real impact by supporting strategic decisions and enhancing operational efficiency.
- Qualifications: Experience in data management and familiarity with IAM standards like ISO 55000.
The predicted salary is between 34650 - 42350 £ per year.
AtkinsRéalis in the United Kingdom seeks an EAM Business Analyst to bridge business needs and technical solutions, focusing on data management, dashboard development and requirements gathering to support strategic decision-making and operational efficiency.
You will work with cross-functional teams and client stakeholders, applying IAM standards such as ISO 55000 and engaging with capabilities in ERP, AIP, GIS and Reporting & Analytics.
EAM & Digital Asset Analyst in London employer: AtkinsRéalis Group
AtkinsRéalis is an exceptional employer, offering a dynamic work environment where ecologists can thrive while contributing to impactful projects that enhance biodiversity. With a strong focus on employee development, including tailored mentoring and professional training opportunities, our Cardiff and Bristol offices foster a collaborative culture that values innovation and inclusivity. Enjoy competitive salaries, flexible working arrangements, and a commitment to work-life balance, making it an ideal place for passionate ecologists to grow their careers.
StudySmarter Expert Advice🤫
We think this is how you could land EAM & Digital Asset Analyst in London
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like AtkinsRéalis Group.
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We think you need these skills to ace EAM & Digital Asset Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at AtkinsRéalis Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at AtkinsRéalis Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at AtkinsRéalis Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at AtkinsRéalis Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
