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For Companies At a Glance
- Tasks: Lead insights generation to enhance user understanding and engagement.
- Company: Join a dynamic buy-now-pay-later company in the automotive sector.
- Benefits: Enjoy hybrid work flexibility and competitive salary up to £80,000.
- Why this job: Be the first insights expert, shaping strategies that drive real impact.
- Qualifications: Strong SQL skills required; Python/R and Google Analytics experience are a plus.
- Other info: UK residency is essential; no sponsorship available.
The predicted salary is between 48000 - 64000 £ per year.
This company is a buy-now-pay-later business in the automotive space.
You’ll be the first insights person in the team generating insights to understand the users and how to get more out of them. The focus of your role will be making a good customer through customer segmentation, competitor analysis and campaign analysis (both online and offline).
Skills + Experience
- Strong SQL needed (bonus is you have Python/R as well)
- Google Analytics experience
- Clear evidence of customer insights that led to commercial impacts
How to Apply
If this sounds like the role for you, swiftly send over your CV to Izzi at Harnham by using the link below.
Insight Lead employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insight Lead
✨Tip Number 1
Familiarise yourself with the latest trends in customer insights and analytics, especially in the automotive sector. This will not only help you understand the market better but also allow you to speak confidently about how your insights can drive commercial impacts during interviews.
✨Tip Number 2
Network with professionals in the buy-now-pay-later and automotive industries. Attend relevant meetups or webinars to connect with potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 3
Brush up on your SQL skills and consider working on a small project that showcases your ability to generate insights from data. Having a practical example to discuss can set you apart from other candidates.
✨Tip Number 4
Prepare specific examples of how your previous insights have led to measurable business outcomes. Being able to demonstrate your impact will resonate well with the hiring team and show that you understand the importance of data-driven decision-making.
We think you need these skills to ace Insight Lead
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of the Insight Lead position. Familiarise yourself with customer segmentation, competitor analysis, and campaign analysis to tailor your application accordingly.
Highlight Relevant Skills: Emphasise your strong SQL skills in your CV and cover letter. If you have experience with Python or R, mention that as a bonus. Also, include any relevant experience with Google Analytics and how it has contributed to commercial impacts.
Showcase Your Insights: Provide clear examples of past projects where your insights led to significant outcomes. Use metrics and data to demonstrate your impact on customer understanding and business growth.
Craft a Compelling Cover Letter: Write a tailored cover letter that connects your experience and skills to the specific needs of the company. Mention your enthusiasm for the buy-now-pay-later model in the automotive space and how you can contribute to their success.
How to prepare for a job interview at Harnham
✨Showcase Your SQL Skills
Since strong SQL skills are a must for this role, be prepared to discuss your experience with SQL in detail. Consider bringing examples of queries you've written or projects where you've used SQL to derive insights.
✨Demonstrate Customer Insight Experience
Highlight specific instances where your insights have led to commercial impacts. Be ready to explain the methodologies you used for customer segmentation and how those insights influenced business decisions.
✨Familiarise Yourself with Analytics Tools
Make sure you know your way around Google Analytics and any other relevant tools mentioned in the job description. Being able to discuss how you've used these tools to analyse data will show your technical proficiency.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to customer insights and campaign analysis. Practising how you would approach these scenarios can help you articulate your thought process during the interview.
