At a Glance
- Tasks: Analyse customer and campaign data to uncover insights and improve marketing performance.
- Company: Amtis - a leader in digital transformation based in Birmingham.
- Benefits: Up to £50,000 salary, 20% bonus, and hybrid working options.
- Other info: Join a growth-driven team in a dynamic city centre environment.
- Why this job: Make a real impact by delivering actionable recommendations to stakeholders.
- Qualifications: Experience in data analysis and advanced SQL skills required.
The predicted salary is between 31500 - 38500 £ per year.
Amtis - Digital, Technology, Transformation in Birmingham is recruiting a Customer Insight Analyst to strengthen its data and analytics capability. You will analyze customer, digital and campaign data to uncover insights that improve marketing performance and business decisions, delivering actionable recommendations to stakeholders.
The role offers hybrid working in Birmingham city centre, up to £50,000 plus a 20% bonus, with a focus on building dashboards and applying advanced SQL to large datasets.
Customer Insights Analyst: Hybrid, Growth‑Driven Analytics in Birmingham employer: Amtis - Digital, Technology, Transformation
As a Microsoft Dynamics Consultant with us, you'll be part of a dynamic and innovative team in London, where we prioritise employee growth and development. Our collaborative work culture fosters creativity and strategic thinking, allowing you to lead impactful projects that shape customer engagement solutions. Enjoy competitive benefits and the unique opportunity to work in a hybrid environment, balancing professional and personal life while contributing to transformative initiatives in the Microsoft ecosystem.
Contact Details:
Amtis - Digital, Technology, Transformation Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Customer Insights Analyst: Hybrid, Growth‑Driven Analytics in Birmingham
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We think you need these skills to ace Customer Insights Analyst: Hybrid, Growth‑Driven Analytics in Birmingham
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!
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Craft a Tailored Cover Letter:For a full-time role at Amtis - Digital, Technology, Transformation, 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 Amtis - Digital, Technology, Transformation. 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 Amtis - Digital, Technology, Transformation
✨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!
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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
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✨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.
