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For Companies At a Glance
- Tasks: Transform marketing data into actionable insights and drive revenue growth.
- Company: Join IRIS, a forward-thinking company focused on data-driven marketing.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by connecting marketing efforts to tangible results.
- Qualifications: Experience in marketing analytics and a passion for data-driven decision making.
- Other info: Be part of a dynamic team that values innovation and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
If you love turning marketing data into clear insights and real revenue impact, this one’s for you. At IRIS, we’re looking for a data-driven, commercially minded Marketing Analytics Lead to own our performance reporting, attribution, dashboards and funnel insight across the full marketing engine.
What you’ll be doing:
- Building reporting frameworks across digital, events, ABM, content and partners
- Creating dashboards to track leads, pipeline, conversion and ROI end-to-end
- Connecting marketing activity to pipeline and bookings (Marketo, Salesforce, BI)
- Running multi-touch attribution and optimising spend based on performance insights
Marketing Analytics Lead in England employer: IRIS Software Group
Contact Detail:
IRIS Software Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Analytics Lead in England
✨Tip Number 1
Network like a pro! Reach out to folks in the marketing analytics space on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best reporting frameworks and dashboards. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of tools like Marketo, Salesforce, and BI. Be ready to discuss how you've used these to drive insights and revenue in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Marketing Analytics Lead in England
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with data analysis and reporting frameworks. We want to see how you've turned marketing data into actionable insights in your previous roles.
Be Specific About Tools: Mention the specific tools you've used, like Marketo, Salesforce, or any BI tools. We love seeing familiarity with these platforms as it shows you're ready to hit the ground running!
Connect the Dots: When discussing your past experiences, connect your marketing activities to tangible results. Show us how your work has directly impacted leads, pipeline, and revenue – we’re all about that real impact!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at IRIS Software Group
✨Know Your Numbers
Before the interview, brush up on key metrics related to marketing analytics. Be ready to discuss how you've used data to drive decisions in previous roles. This shows you’re not just familiar with numbers but can also translate them into actionable insights.
✨Showcase Your Dashboards
Prepare examples of dashboards you've created or worked with. Bring visuals if possible! Discuss how these tools helped track leads and conversions, and be ready to explain your thought process behind their design.
✨Connect the Dots
Be prepared to talk about how you’ve linked marketing activities to revenue outcomes. Use specific examples where you connected campaigns to pipeline and bookings, especially using tools like Marketo and Salesforce. This demonstrates your understanding of the full marketing engine.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in their current analytics processes. Inquire about their attribution models or how they optimise spend based on performance insights. This not only shows your expertise but also your enthusiasm for the role.