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- Tasks: Analyze customer data to identify trends and improve engagement strategies.
- Company: Join a leading training provider for Senior Leaders in Private Equity funded companies.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth.
- Why this job: Make a real impact by driving operational efficiency through data insights.
- Qualifications: 2-5 years of experience in B2B or membership/subscription data analysis required.
- Other info: Ideal for those passionate about data and customer engagement.
The predicted salary is between 30000 - 50000 £ per year.
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Our client provides training for Senior Leaders running Private Equity funded companies. They are seeking an experienced Data Analyst to cross-analyse multiple customer data points in order to drive operational efficiency.
Using your technical skills, you will be required to analyse key customer data to decipher trends and answer questions around who customers are and how they can be segmented into groups and types.
Responsibilities
- Analyse customer churn rates and engagement levels to align to customer characteristics.
- Interpret trends to see how the customer is developing over time.
- Establish recommendations as to how they can effectively track engagement with the existing data and identify who the key profile types are and how their engagement habits vary.
Requirements
- 2-5 years experience analysing customer data, specifically within B2B or membership/subscription businesses is a must for this role.
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Data Analyst - B2B Events employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - B2B Events
✨Tip Number 1
Familiarize yourself with the specific metrics and KPIs used in B2B events and subscription businesses. Understanding these will help you speak the same language as the hiring team and demonstrate your expertise during discussions.
✨Tip Number 2
Prepare to discuss your experience with data analysis tools and techniques that are relevant to customer segmentation and churn analysis. Highlight any specific projects where you've successfully implemented these skills to drive operational efficiency.
✨Tip Number 3
Research the company’s existing customer base and their engagement strategies. This knowledge will allow you to provide tailored recommendations during interviews, showcasing your proactive approach and understanding of their needs.
✨Tip Number 4
Network with professionals in the B2B events space, especially those who have experience in data analysis. Engaging with industry peers can provide insights and potentially lead to referrals that could strengthen your application.
We think you need these skills to ace Data Analyst - B2B Events
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Data Analyst position. Familiarize yourself with key terms like customer churn rates, engagement levels, and data segmentation.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 2-5 years of experience in analyzing customer data, particularly in B2B or membership/subscription contexts. Use specific examples to demonstrate your skills.
Showcase Technical Skills: Detail your technical skills related to data analysis. Mention any tools or software you are proficient in that are relevant to the role, such as Excel, SQL, or data visualization tools.
Tailor Your Application: Customize your application materials to reflect the company's focus on operational efficiency and customer engagement. Use language from the job description to align your application with their needs.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've analyzed customer data in the past. Highlight your experience with B2B or membership/subscription businesses, and be ready to explain the tools and methodologies you used.
✨Understand Customer Segmentation
Familiarize yourself with different customer segmentation strategies. Be ready to discuss how you would approach segmenting customers based on their engagement levels and characteristics, as this is a key part of the role.
✨Discuss Trends and Insights
Prepare to talk about how you've interpreted trends in customer data previously. Think of examples where your insights led to actionable recommendations that improved operational efficiency.
✨Ask Insightful Questions
Demonstrate your interest in the role by asking questions about the company's current data analysis processes. Inquire about the types of data they collect and how they currently track customer engagement.
