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- Tasks: Analyse digital marketing data and create insightful dashboards to drive performance.
- Company: Join a leading company with a commitment to inclusivity and innovation.
- Benefits: Enjoy 26 days holiday, flexible benefits, and a competitive salary.
- Why this job: Make an impact by optimising digital campaigns and enhancing marketing strategies.
- Qualifications: Experience in digital analytics and strong knowledge of Google tools required.
- Other info: Hybrid working options available; we value your work-life balance.
The predicted salary is between 28800 - 48000 £ per year.
We have an exciting opportunity for a skilled and technical individual to join our Marketing team as a Digital Marketing Performance Analyst. The successful candidate will ensure accurate data capture across digital campaigns and build integrated dashboards to deliver actionable insights and robust reporting. You will have the opportunity to develop your skill set as part of a talented team enhancing our digital capability and influencing our marketing performance. We support hybrid working, with presence required in our Bournemouth office - we are happy to discuss your circumstances and any flexible working arrangements during the application process.
Key Responsibilities
- Review and maintain GTM tags to ensure consistency with business requirements.
- Provide expert recommendations on GA4 data usage and create clear technical event documentation to define the scope of analysis.
- Create rich datasets and merge information by exploring data sources, Google search console and internal systems. Query data using SQL from Google Analytics.
- Design and maintain data visualisations, reports, and dashboards (using tools such as Looker Studio, PowerBI, Microsoft Excel) that are intuitive to assist decision making.
- Monitor data quality and create alerts for data discrepancies for investigation.
- Ensure GDPR compliance and incorporate into workflows for data-modelling with GA4 consent mode integration.
About You
- Previous experience as a technical digital analyst with a good understanding of user journeys and conversion optimisation.
- Good working knowledge of Google Tag manager, Google Analytics, Looker studio and BigQuery Cloud data.
- Experience in managing and analysing analytics accounts, goals, properties, dashboards, reports, segments, and custom channel/content groupings.
- Bachelor’s degree in computer science, mathematics, marketing or any other relevant field, with a strong interest in data analysis.
- Strong communication and stakeholder engagement.
- Ability to manage own workload effectively.
Desirable
- Experienced with workflow management and audit tools such as Jira, Azure DevOps, SharePoint and Confluence.
- Understanding of programming and web technologies, including JavaScript, HTML, Python, or SQL.
Reward and Benefits
- 26 days' holiday – increasing after two years of service to 28 days.
- The opportunity to buy or sell up to five days of holiday.
- An annual bonus scheme based on company and personal performance.
- Flexible benefits, including a cycle to work scheme, personal accident insurance, critical illness cover, private medical insurance, and dental insurance.
- Competitive pension scheme - LV= Life and Pensions will double-match the amount you pay, up to 14% (subject to National Minimum Wage requirements).
- Group Life Assurance of four times your basic pay to your dependents (you’ll have the option to increase this to 8 x cover).
- Group Income Protection, if you enrol into the pension scheme and reach 5 years of service.
- Employee Assistance Programme (EAP) service for support when you need it.
- Virtual GP service.
- Shared parental leave.
- Up to 20% discount on our life products for you and your immediate family.
Please note all salary sacrifice benefits are subject to National Minimum Wage requirements i.e. you are unable to select any benefits that would reduce your base pay below the minimum wage threshold. Please note that we are unable to offer Skilled Worker Visa Sponsorship for this role. Therefore, you must ensure that you are eligible to work in the UK without our sponsorship for your application to be considered.
We’re proud of our inclusive culture at LV= and, as an equal-opportunity employer, we continually work to remove unconscious bias from our recruitment process. We value our colleagues for what they bring to our team regardless of any protected status or characteristics they may have. Talk to us about flexible working as part of your application; if it’s right for you, our members and customers, and our business, then we’ll do everything we can to make it happen.
Digital Marketing Performance Analyst in Bournemouth employer: LV=
Contact Detail:
LV= Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Marketing Performance Analyst in Bournemouth
✨Tip Number 1
Network like a pro! Reach out to people in the digital marketing space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations, dashboards, and any projects you've worked on. This will help you stand out and demonstrate your expertise in digital marketing performance analysis.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss Google Tag Manager, GA4, and SQL. We want to see how you can apply your skills to real-world scenarios, so practice explaining your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining our team. Don’t forget to mention any flexible working arrangements you might need!
We think you need these skills to ace Digital Marketing Performance Analyst in Bournemouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Digital Marketing Performance Analyst role. Highlight your experience with Google Tag Manager, Google Analytics, and any relevant data analysis skills. We want to see how your background aligns with what we're looking for!
Showcase Your Skills: In your cover letter, don’t just list your skills—show us how you've used them in real-world scenarios. Whether it’s creating dashboards or ensuring data quality, give us examples that demonstrate your expertise and problem-solving abilities.
Be Clear and Concise: When filling out your application, keep your language clear and concise. Avoid jargon unless it's relevant to the role. We appreciate straightforward communication, so make it easy for us to see your qualifications!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at LV=
✨Know Your Tools Inside Out
Make sure you’re well-versed in Google Tag Manager, Google Analytics, and Looker Studio. Brush up on how to create dashboards and reports, as well as how to query data using SQL. Being able to discuss your experience with these tools confidently will show that you're ready to hit the ground running.
✨Prepare for Technical Questions
Expect questions about data quality monitoring and GDPR compliance. Be ready to explain how you would handle data discrepancies or ensure compliance in your workflows. Having specific examples from your past experience can really help demonstrate your expertise.
✨Showcase Your Analytical Skills
Be prepared to discuss how you've previously used data to drive marketing performance. Think of a few key projects where your analysis led to actionable insights. This will highlight your ability to influence decision-making through data.
✨Engage with Stakeholders
Communication is key! Be ready to talk about how you've engaged with stakeholders in the past. Share examples of how you’ve translated complex data into understandable insights for non-technical team members. This shows you can bridge the gap between data and action.
