At a Glance
- Tasks: Help big brands enhance customer experiences with data solutions and insights.
- Company: Leading consultancy in the tech sector with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on customer data strategies.
- Qualifications: Minimum 2 years in technical consulting with strong communication skills.
- Other info: Exciting role with potential for career advancement in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading consultancy in the tech sector is seeking a Solutions Consultant and Technical Account Manager to work with big brand companies. This hybrid role focuses on understanding technical client needs, integrating data solutions into customer data platforms, and enhancing customer experiences.
Ideal candidates must have a minimum of 2 years in a technical consulting role, with strong communication and technical skills.
MarTech Solutions Consultant — Data & CDP Insights in City of London employer: Career Concept
Contact Detail:
Career Concept Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MarTech Solutions Consultant — Data & CDP Insights in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend webinars, and join relevant groups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio or case studies that highlight your experience with data solutions and customer data platforms. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research the company and its clients, and be ready to discuss how your technical skills can solve their specific challenges. Tailor your answers to show you understand their needs.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team!
We think you need these skills to ace MarTech Solutions Consultant — Data & CDP Insights in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in technical consulting and data solutions. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the MarTech Solutions Consultant role and how your background makes you a perfect fit. We love seeing personality and passion!
Showcase Your Communication Skills: Since this role involves working with big brands, it’s crucial to demonstrate your strong communication skills. Whether it’s in your CV, cover letter, or any additional materials, make sure we can see how you convey complex ideas clearly.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Let’s get started on this journey together!
How to prepare for a job interview at Career Concept
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest data solutions and customer data platforms. Brush up on your technical knowledge and be ready to discuss how you've integrated these solutions in past roles.
✨Showcase Your Communication Skills
As a Solutions Consultant, you'll need to communicate complex ideas clearly. Prepare examples of how you've successfully conveyed technical information to non-technical clients or stakeholders.
✨Understand the Client's Needs
Research the company and its clients before the interview. Be prepared to discuss how you would approach understanding their specific technical needs and how you can enhance their customer experiences.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical client issues. Think through potential scenarios where you might need to integrate data solutions and how you would handle them effectively.