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- Tasks: Lead analytics for growth and SEO, optimising user journeys and driving data-driven decisions.
- Company: Healthera is revolutionising healthcare with a digital platform connecting patients to pharmacies across the UK.
- Benefits: Enjoy a competitive salary, equity options, flexible working, and a professional development budget.
- Why this job: Join a fast-growing startup making a real impact in healthcare through data and innovation.
- Qualifications: 5+ years in data analytics, strong SQL skills, and expertise in Google Analytics and SEO tools required.
- Other info: Opportunity for rapid career growth in a dynamic environment focused on transforming healthcare.
The predicted salary is between 64000 - 80000 £ per year.
About Healthera: At Healthera, we're driven to build delightful digital experiences that reach millions of users across the UK and abroad. Our platform provides patients with prescriptions, healthcare services, and private medicine products from the largest digital network of pharmacies in the UK. We’ve grown quickly over the last 24 months - across healthcare market verticals and entering our first international market earlier this year.
The Role: We’re looking for an experienced Analytics Manager who will be instrumental in measuring, analysing, and optimising all of our growth funnels. We want someone who is analytically precise, naturally curious, and gets their hands dirty - constantly seeking to optimise and improve our products through data-driven insights. This role sits at the intersection of analytics, product, growth, and SEO, making it perfect for someone who thrives on turning complex data into actionable strategies that drive user acquisition and retention.
What you’ll be doing:
- Own end-to-end funnel analytics across Healthera's mobile apps, web platform, and hundreds of partner websites we power.
- Drive growth experiments by designing, implementing, and analysing A/B tests and conversion optimisation initiatives.
- Answer the tough questions - dig deep into ambiguous problems and surface actionable insights that drive business decisions.
- Collaborate cross-functionally with tech, product, and marketing teams to identify growth opportunities and optimise user journeys.
- Lead SEO analytics strategy - track organic performance, identify content gaps, and measure the impact of SEO initiatives on user acquisition.
- Partner with our senior data analytics engineer to orchestrate data pipelines and create compelling, presentable insights for stakeholders.
- Build and maintain dashboards that provide real-time visibility into key growth metrics and funnel performance.
- Identify optimisation opportunities across the entire user lifecycle, from acquisition through retention and monetisation.
Skills & Experience Required:
- Technical Expertise: Expert-level proficiency in Google Analytics (GA4), Mixpanel, BigQuery, Redshift, and advanced Google Sheets functions. Strong SQL skills for data extraction, manipulation, and analysis. Experience with data visualisation tools (Tableau, Looker, or similar). Familiarity with statistical analysis and A/B testing methodologies.
- SEO & Growth: Deep knowledge and hands-on experience with SEO analytics, including tools like SEMrush, Ahrefs, or Google Search Console. Understanding of conversion rate optimisation (CRO) principles and testing frameworks. Experience with attribution modelling and multi-touch attribution analysis.
- Background & Soft Skills: University degree in Data Science, Computer Science, Engineering, Mathematics, Economics, or related quantitative field. 5+ years of proven expertise in data analytics, preferably in a growth or digital marketing context. Strong analytical thinking with the ability to translate complex data into clear, actionable recommendations. Excellent communication skills - able to present findings to both technical and non-technical stakeholders. Self-starter mentality with the ability to work independently in a fast-paced startup environment. Experience in healthcare, fintech, or other regulated industries is a plus.
What we provide:
- Competitive salary - £80,000 - £95,000 (depending on experience).
- Equity package - helping you reap the long-term rewards as the business grows exponentially.
- Flexible working arrangement - approximately 3 days per week in either of our offices (London or Cambridge).
- Professional development budget for courses, conferences, and certifications.
- Health and wellbeing benefits including private healthcare.
- 25 days annual leave plus bank holidays.
- Opportunity for rapid career growth in a fast-scaling company transforming healthcare.
Ready to apply? We’re looking for someone who’s excited about using data to drive meaningful impact in healthcare. If you’re passionate about growth analytics and want to help millions of people access better healthcare, we’d love to hear from you. In addition to applying on LinkedIn, please include examples of growth experiments you’ve run or SEO projects you’ve led in your application - contact us via career@healthera.co.uk.
Analytics Lead – Growth & SEO employer: Healthera
Contact Detail:
Healthera Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Lead – Growth & SEO
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Google Analytics (GA4), Mixpanel, and SQL. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical expertise during interviews.
✨Tip Number 2
Prepare to discuss your previous growth experiments and SEO projects in detail. Be ready to explain the methodologies you used, the results you achieved, and how those experiences can translate into success at Healthera.
✨Tip Number 3
Network with professionals in the healthcare and fintech sectors. Engaging with industry peers can provide insights into current trends and challenges, which you can leverage to showcase your understanding of the market during your interview.
✨Tip Number 4
Demonstrate your analytical thinking by preparing a case study or example of how you've turned complex data into actionable strategies in the past. This will highlight your problem-solving skills and ability to drive user acquisition and retention.
We think you need these skills to ace Analytics Lead – Growth & SEO
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics, growth, and SEO. Use specific examples that demonstrate your expertise with tools like Google Analytics, SQL, and A/B testing methodologies.
Craft a Compelling Cover Letter: In your cover letter, express your passion for using data to drive growth in healthcare. Mention specific growth experiments or SEO projects you've led, showcasing your analytical skills and results.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include your proficiency in Google Analytics (GA4), Mixpanel, and any data visualisation tools you’ve used. This will help demonstrate your fit for the role.
Prepare for Questions: Anticipate questions about your previous experiences with data analysis and growth strategies. Be ready to discuss how you've turned complex data into actionable insights and the impact of your work on user acquisition and retention.
How to prepare for a job interview at Healthera
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analytics to drive growth. Be ready to explain your thought process and the impact of your decisions on previous projects.
✨Familiarise Yourself with SEO Tools
Since the role involves leading SEO analytics strategy, make sure you are well-versed in tools like SEMrush, Ahrefs, and Google Search Console. Be prepared to discuss how you've used these tools in past roles.
✨Demonstrate Your A/B Testing Experience
The company values hands-on experience with A/B testing. Bring examples of experiments you've designed and the insights gained from them. Highlight any successful outcomes that resulted from your testing.
✨Communicate Clearly and Effectively
You’ll need to present findings to both technical and non-technical stakeholders. Practice explaining complex data in simple terms, and be ready to answer questions about your analysis and recommendations.
