Presales Solutions Lead, Data Protection & Resilience

Presales Solutions Lead, Data Protection & Resilience

Full-Time 72000 - 88000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Shape enterprise solutions in data protection and resilience for major clients.
  • Company: Join Computacenter, a leader in tech solutions with a focus on innovation.
  • Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with excellent career advancement opportunities.
  • Why this job: Make a real impact by driving thought leadership in data protection and cyber resilience.
  • Qualifications: Deep experience in backup solutions and strong stakeholder management skills.

The predicted salary is between 72000 - 88000 £ per year.

Computacenter is seeking a Presales Solution Lead with deep experience in backup, data protection and cyber resilience to shape enterprise solutions for major clients.

You will partner with senior stakeholders, own technical qualification and design across Cohesity, Rubrik, Commvault and HPE, and drive thought leadership, advisory services and revenue outcomes within the Data Center & Hybrid Solution Area.

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Presales Solutions Lead, Data Protection & Resilience employer: Computacenter

At Computacenter, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through continuous training opportunities and mentorship programs, ensuring that you can advance your career while working on cutting-edge Microsoft 365 solutions in the vibrant UK market. Join us to be part of a team that values your contributions and encourages meaningful relationships with clients and colleagues alike.

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Contact Details:

Computacenter Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Presales Solutions Lead, Data Protection & Resilience

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 Computacenter!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Presales Solutions Lead, Data Protection & Resilience at Computacenter.

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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 Computacenter.

Apply Directly through Our Website

When you find a suitable opening like Presales Solutions Lead, Data Protection & Resilience at Computacenter, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Presales Solutions Lead, Data Protection & Resilience

Backup Solutions
Data Protection
Cyber Resilience
Technical Qualification
Solution Design
Cohesity
Rubrik

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 Computacenter, 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 Computacenter. 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 Computacenter

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 Computacenter!

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.