Data & Analytics Apprentice

2 weeks ago


City of London, United Kingdom Multiverse Full time

This is an exciting opportunity for a highly motivated and innovative Data & Analytics Apprentice to join Penna's lively, ambitious, and collaborative Performance Media team. The Performance Media team is comprised of specialists in paid search, social media,programmatic display and data sciences. This role offers a unique opportunity to be trained and become specialised in all aspects of Data & Analytics from tagging to data visualisation whilst producing insightful campaign recommendations. You will also gainexperience in the recruitment space, which is by far one of the most growing industry

A typical day
- Work collaboratively with colleagues across our team and the wider organisation
- Responding and handling all incoming dashboard maintenance requests in a timely and efficient manner
- Producing floodlights, click trackers and UTM tags to ensure all our paid media activities are being tracked correctly
- Producing campaign insights and commentaries for our weekly, monthly, and quarterly client reports
- Cleanse and manage data (including processing) using advertising platforms from Google
- Meta, LinkedIn, Reddit, TikTok etc but also analytics platforms such as GA4 and GSC

You must have
- GCSE English & Maths 4-9 (C-A*) or equivalent

Skills needed | Problem solving | Teamwork | Initiative
- Have a strong desire to learn and add value to the team
- Good time management skills with the ability to re-prioritise
- Be detail oriented, highly organised, with a keen eye for consistency
- Willing to learn to produce concise and insightful commentaries and recommendations
- Highly numerate with basic statistical knowledge
- Experience of generating reports from the analysis of raw data
- Good degree of computer literacy (Microsoft Excel is essential, relational database experience
- Familiarity with analytical software/coding languages such as SAS, Python and R is beneficial)

Perks and benefits | Multiverse community | Pension



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