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For Companies At a Glance
- Tasks: Dive into growth analytics projects like funnel and campaign analysis.
- Company: Join a fast-growing SaaS business making waves in the industry.
- Benefits: Enjoy a competitive salary of £55,000-£65,000 and fully remote work.
- Why this job: Be part of a dynamic team that values data-driven decisions and innovation.
- Qualifications: Strong SQL skills and A/B testing experience are essential.
- Other info: This role is fully remote, offering flexibility and work-life balance.
The predicted salary is between 55000 - 65000 £ per year.
A fast-growing SaaS business is seeking a Growth Analyst to join their Data & Analytics function!
As the Growth Analyst, you will work on a host of growth analytics projects including funnel analysis & campaign analysis work.
Your Skills and Experience:
- Strong SQL experience
- A/B Testing Experience
The Benefits:
£55,000-£65,000 (dependent on experience)
How to Apply:
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.
Growth Analyst employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Growth Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in growth analytics and SaaS. This will not only help you understand the industry better but also allow you to speak confidently about relevant topics during any discussions.
✨Tip Number 2
Brush up on your SQL skills by working on real-world projects or online exercises. Being able to demonstrate your proficiency in SQL during interviews can set you apart from other candidates.
✨Tip Number 3
Prepare examples of past A/B testing projects you've worked on. Be ready to discuss the methodologies you used, the results you achieved, and how they contributed to growth.
✨Tip Number 4
Network with professionals in the SaaS and analytics space. Engaging with others in the field can provide insights into the company culture and expectations, which can be invaluable during your application process.
We think you need these skills to ace Growth Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in growth analytics, particularly your SQL skills and A/B testing experience. Use specific examples to demonstrate how you've successfully contributed to similar projects.
Craft a Compelling Cover Letter: Write a cover letter that explains why you're interested in the Growth Analyst position. Mention your passion for data and analytics, and how your skills align with the company's goals. Be sure to address Adam Osborne directly to make it more personal.
Showcase Relevant Projects: If you have worked on any growth analytics projects, include them in your application. Describe your role, the tools you used (like SQL), and the impact of your work. This will help demonstrate your hands-on experience.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Growth Analyst role.
How to prepare for a job interview at Harnham
✨Showcase Your SQL Skills
Since strong SQL experience is a key requirement for the Growth Analyst role, be prepared to discuss your SQL projects in detail. Bring examples of how you've used SQL to derive insights or solve problems in previous roles.
✨Prepare for A/B Testing Questions
A/B testing is crucial for this position, so brush up on your knowledge and experiences with it. Be ready to explain your approach to designing tests, analysing results, and making data-driven decisions based on your findings.
✨Understand the Company’s Growth Strategy
Research the company’s growth strategy and recent campaigns. This will not only help you answer questions more effectively but also allow you to ask insightful questions that demonstrate your interest in their business.
✨Practice Data Interpretation
As a Growth Analyst, you'll need to interpret data effectively. Prepare to discuss how you've analysed data in the past and be ready to tackle hypothetical scenarios during the interview to showcase your analytical thinking.
