Marketing Analyst & Insight CV Tips

5 Mins

The scale of the data being collected by online companies on their customer’s behaviour has become immense. Just think of the number of transactions, visits, touch points and cookie activity that a retailer might receive on a daily. Marketers want to make sense of it so they can tailor products, communications, and offers to them to help generate more revenue. It’s the Marketing Analyst and Insight person’s role to wade through all this, package it up and present it in the easiest way for marketing decisions to be made.

If you’re looking to take the next step in your role in this sector, have a look at our CV Tips below!

CV Tips

Thanks to Dan Roylance, CRM Manager at SwitchMyBusiness.com  and Lewis Carroll, Senior Analytics and Insight Manager at MEC, for their input into this blog.

Dan RoylanceSwitchMyBusiness.comLewis CarrollMEC
  1. Make sure your CV is full of tangible results showing the impact that your data analysis has made. With the ultimate goal being an uplift in ROI, detail the areas that you highlighted from the data that allowed a focus on the ROI maximisation. E.g. volumes, duration, uplifts, activity etc. Businesses will want to see that candidates recognise that actioning insights will impact ROI and bring the highest returns. Showcase any case studies you may have, employers look for the obvious “data” references, but actual insightful work will always help to elevate your CV above the rest.
  2. What were the actions that were taken from your analytics? For example, did it help influence a new customer journey and what were the results from that? If this was successful then give information on this or how you helped shape it.
  3. Demonstrate how you may have impacted elsewhere in the business not only the direct marketing team. Has there been incremental gain elsewhere such as new product sales, returns, cancelled orders etc (industry dependent of course.) List these as you’ve obviously added even more value elsewhere!
  4. Highlight your quantitative and qualitative experiences from the data that you’ve used. You will have used stats to help prove whether different types of marketing are being effective or not and what conclusions were made from this.
  5. Detail the software used for analytics and the competency level that you are at with that software. Many will use SQL and SAS software for their roles so detail what you have used them for and what success you’ve had when using them. List all of the different types to help build synergies with your new target company!
  6. List the different stakeholders, internal departments or external agencies that you may have worked with in your time. This will help identify the different types of people, data, sectors and industries that you’ve got experience with and whether it’s compatible with the role that you’re applying for.
  7. Saying, “I have some Excel skills” is always helpful, but make sure you can back that up with any of the relevant free training courses available, try and get educated and accredited whenever you can on whichever tool or platform you list.
  8. Get across your customer and industry knowledge for the sector that you’ve worked in. By showing how well you understand the customers of the business and sector you’ve worked in, you’ll be able to understand similar attitudes and data driven by new customer sets.
  9. Check and double check for any potential mistakes, typo or gaps in your work profile. Being analytically minded means that you should have a close attention to the small details.
  10. Make sure your CV is tailored to the company, role and department that you’re aiming for so that when you find the company that’s right for you, your experience is clear for that employer and increases the chances of you progressing to that all important next stage, the interview!

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