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- Tasks: Transform complex data into actionable insights for marketing strategies.
- Company: Global tech firm in London with a focus on innovation.
- Benefits: Inclusive culture, career growth, and collaborative environment.
- Why this job: Make a real impact on marketing through data-driven decisions.
- Qualifications: Strong SQL skills and experience in CRM analytics required.
- Other info: Join a diverse team and enhance your analytical skills.
The predicted salary is between 36000 - 60000 £ per year.
A global technology firm in London is seeking an experienced Data Analyst to enhance lifecycle marketing strategies. In this high-impact role, you will translate complex business questions into structured frameworks, guiding strategic decisions through data analysis.
Key responsibilities include:
- Designing performance evaluations
- Setting KPIs
- Building insightful dashboards
Strong SQL skills and experience in CRM analytics are required. This role promises growth within an inclusive and diverse team structure, emphasizing effective collaboration across various departments.
CRM Analytics Lead: Data-Driven Marketing & Experimentation employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land CRM Analytics Lead: Data-Driven Marketing & Experimentation
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving CRM analytics. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data-driven marketing and SQL. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace CRM Analytics Lead: Data-Driven Marketing & Experimentation
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you can use data to drive decisions, so include specific examples of how you've used SQL in past projects.
Tailor Your Experience: When writing your application, tailor it to the role of CRM Analytics Lead. We’re looking for someone who can enhance lifecycle marketing strategies, so mention any relevant experience you have in this area.
Be Data-Driven: Since this role is all about data analysis, make sure your application reflects a data-driven mindset. Use metrics and outcomes from your previous roles to demonstrate your impact and decision-making skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Wise
✨Know Your SQL Inside Out
Since strong SQL skills are a must for this role, make sure you brush up on your SQL knowledge. Be prepared to discuss how you've used SQL in past projects and maybe even tackle a few practical questions during the interview.
✨Showcase Your Data Storytelling Skills
This position involves translating complex data into actionable insights. Prepare examples of how you've turned data analysis into strategic decisions in previous roles. Use clear, concise language to explain your thought process and the impact of your work.
✨Familiarise Yourself with Lifecycle Marketing
Understanding lifecycle marketing strategies is key for this role. Research common frameworks and KPIs used in the industry. Be ready to discuss how you would approach enhancing these strategies using data-driven insights.
✨Emphasise Collaboration and Inclusivity
This role promises growth within an inclusive team structure. Highlight your experience working collaboratively across departments. Share examples of how you've contributed to a diverse team environment and how it led to successful outcomes.
