At a Glance
- Tasks: Lead analysis activities and collaborate with teams on digital transformation projects.
- Company: Atos SE, a leader in digital transformation based in Glasgow.
- Benefits: Competitive salary, private medical cover, and pension scheme.
- Other info: Opportunity for career growth in a fast-paced environment.
- Why this job: Join a dynamic team and drive impactful digital solutions.
- Qualifications: Experience in technical analysis and systems integration required.
The predicted salary is between 50000 - 60000 £ per year.
Atos SE in Glasgow is looking for a skilled Technical Business Analyst to support complex digital transformation initiatives. The role involves leading analysis activities throughout the delivery lifecycle and collaborating closely with multidisciplinary teams to ensure effective solutions.
Candidates should have significant experience in technical analysis and requirements definition, and a solid understanding of systems integrations.
The position offers competitive benefits, including private medical cover and a pension scheme.
Senior Technical Business Analyst – Data, APIs & Agile Delivery in Glasgow employer: Atos SE
Atos SE in Glasgow is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from competitive perks such as private medical cover and a robust pension scheme, alongside ample opportunities for professional growth within the rapidly evolving field of digital transformation. Joining Atos means being part of a forward-thinking team dedicated to delivering impactful solutions in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Technical Business Analyst – Data, APIs & Agile Delivery in Glasgow
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Atos SE!
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We think you need these skills to ace Senior Technical Business Analyst – Data, APIs & Agile Delivery in Glasgow
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 Atos SE, 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 Atos SE. 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 Atos SE
✨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 Atos SE!
✨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.
