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For Companies At a Glance
- Tasks: Lead data analysis and optimisation strategies to enhance digital performance.
- Company: Join a forward-thinking company focused on transforming data into actionable insights.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving measurable growth through innovative data strategies.
- Qualifications: Bachelor's or Master's in relevant fields with 4+ years in digital analytics required.
- Other info: Experience in e-commerce or SaaS is a plus; familiarity with Python or R is preferred.
The predicted salary is between 43200 - 72000 £ per year.
Job Summary:
We are seeking an experienced and data-driven Analytics and Optimization Manager to lead efforts in transforming raw data into actionable insights and improving performance across digital channels, products, and customer experiences. The ideal candidate will have a strong analytical mindset, excellent business acumen, and a proven track record of driving measurable growth through data optimization strategies.
Key Responsibilities:
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Develop and lead data analysis and optimization strategies across marketing, sales, product, and customer experience functions.
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Manage web and app analytics platforms (e.g., Google Analytics, Adobe Analytics, Mixpanel) to track user behavior and key performance indicators (KPIs).
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Design and execute A/B tests and multivariate experiments to improve conversion rates and customer journeys.
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Create dashboards and visualizations to communicate insights clearly to cross-functional teams and senior leadership.
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Identify opportunities for process improvements, automation, and performance enhancement.
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Collaborate with marketing, product, UX, and engineering teams to implement data-informed recommendations.
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Monitor campaign effectiveness and recommend optimizations for media spend, targeting, and engagement.
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Ensure data accuracy, privacy compliance, and proper tagging across digital assets.
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Stay up to date on analytics tools, digital trends, and optimization best practices.
Requirements:
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Bachelor\’s or Masters degree in Data Science, Marketing Analytics, Statistics, Business, or a related field.
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4+ years of experience in digital analytics, data strategy, or CRO (Conversion Rate Optimization) roles.
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Hands-on experience with analytics platforms (e.g., GA4, Adobe Analytics, Tableau, Power BI, SQL).
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Proficiency in A/B testing tools (e.g., Optimizely, VWO, Google Optimize) and tag management systems (e.g., GTM).
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Strong understanding of digital marketing metrics, user behavior analysis, and performance attribution models.
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Excellent problem-solving, communication, and stakeholder management skills.
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Ability to synthesize complex data into actionable recommendations.
Preferred Qualifications:
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Experience working in e-commerce, SaaS, or high-traffic digital environments.
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Familiarity with Python or R for advanced analytics and modeling.
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Certification in Google Analytics, Adobe Analytics, or CRO platforms.
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Analytics and Optimization Manager employer: Info Resume Edge
Contact Detail:
Info Resume Edge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics and Optimization Manager
✨Tip Number 1
Familiarise yourself with the latest analytics tools and platforms mentioned in the job description, such as Google Analytics and Adobe Analytics. Being well-versed in these tools will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Showcase your experience with A/B testing and optimisation strategies by preparing examples of past projects where you successfully improved conversion rates. Be ready to discuss the methodologies you used and the results achieved during interviews.
✨Tip Number 3
Network with professionals in the analytics and optimisation space, especially those who have worked in e-commerce or SaaS environments. Engaging with industry peers can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 4
Prepare to discuss how you would approach data-driven decision-making in a collaborative environment. Think about specific examples where you've worked with cross-functional teams to implement data-informed recommendations, as this is a key aspect of the role.
We think you need these skills to ace Analytics and Optimization Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in digital analytics and data strategy. Use specific examples of how you've driven growth through data optimisation strategies, as this aligns with the job requirements.
Craft a Compelling Cover Letter: In your cover letter, emphasise your analytical mindset and business acumen. Discuss your hands-on experience with analytics platforms and A/B testing tools, showcasing how these skills can benefit the company.
Showcase Relevant Projects: If you have worked on projects involving web and app analytics or conversion rate optimisation, include these in your application. Detail your role, the tools used, and the outcomes achieved to demonstrate your expertise.
Highlight Continuous Learning: Mention any certifications or courses related to analytics tools or digital marketing metrics. This shows your commitment to staying updated on industry trends and best practices, which is crucial for the role.
How to prepare for a job interview at Info Resume Edge
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data to drive decisions in previous roles. Be ready to explain your thought process and the impact of your actions on business outcomes.
✨Familiarise Yourself with Key Tools
Make sure you have a solid understanding of the analytics platforms mentioned in the job description, such as Google Analytics and Adobe Analytics. If possible, bring examples of dashboards or reports you've created using these tools.
✨Demonstrate A/B Testing Knowledge
Be prepared to talk about your experience with A/B testing and multivariate experiments. Discuss the methodologies you used, the results you achieved, and how you applied those insights to improve conversion rates.
✨Communicate Clearly
Since the role involves collaborating with cross-functional teams, practice explaining complex data insights in simple terms. This will show your ability to communicate effectively with stakeholders who may not have a technical background.
