Senior Media Data Analyst in London

Role Overview

This is the role that owns the MPF day to day.

You run the taxonomy and the build, and you are the media team's second line of support.

When something in the plan data is wrong or unclear, you find the cause, fix it and tell the team what changed.

Then you make it better.

The aim is a platform the media team trusts, and that asks for less of your attention each quarter.

Key Responsibilities Run the MPF

• Run the taxonomy approval route, and escalate only what would change the standard.
• Change the build when it needs changing - schema, automations, scripts - and test properly before production.
• Keep the MPF in line with the contract that governs what reaches client reporting.
• Support the media team
• Be the media team's second line for the MPF and media data: find the cause, fix it and tell them what changed.
• Fix repeat problems at the cause rather than the symptom.
• Help teams set up new clients and campaigns in the MPF right first time.
• Improve it with AI
• Take the two prototypes into production, measured against a baseline before anything touches live data.
• Build what does not exist yet: anomaly detection on free-text fields, automatic categorisation of placements.
• Write and maintain the scripts and integrations behind it.
• What We Are Looking For
• Hands-on paid media experience.

You understand how campaigns are planned, bought and trafficked, and you can talk to a media planner in their language.

• Experience in a data, analytics or media technology role where you owned a system other people depend on.
• Strong hands-on skills in a relational low-code platform, including scripting.

Ours is Airtable, where automation scripting is Java Script.

• SQL.
• You have built with AI, not only used it - scripted against a model API, designed and evaluated prompts, and put something into a workflow other people depend on.

Be ready to talk us through one.

• You can tell whether an AI approach is working, with a number rather than an impression.

Evaluation, not vibes.

• You support people well: patient with users, and clear about what changed and why.
• Self-sufficient.

You can take an ambiguous problem, come back with a proposal, and deliver it.

• You write things down - decisions and reasoning, not only instructions.
• Nice To Have
• Querying a cloud data warehouse.

Ours is Snowflake - you would use it to check what reached reporting.

• CM360 or an equivalent ad server.
• Experience owning a data standard or taxonomy, including an approval route.
• Experience migrating or cleaning a large legacy dataset.
• Experience supporting or training the users of a data tool.
• And in return, Pretzl offers: Competitive compensation package
• 25 days leave, increasing to 30 days based on service

Additional 'moments that matter days' for birthdays, sports days, and other important life moments

• Time off for volunteering
• Life assurance, healthcare cashplan, employee assistance programme, and Digital GP
• Cycle to work scheme

Flexible spending allowance for health/dental insurance, wellbeing, family life, work life, hobbies and experiences

• Quarterly in-person and virtual social activities
• Office transfer and secondment opportunities

We are committed to creating an inclusive and a diverse workforce.

We uphold and celebrate our differences.

We do not discriminate.

Regardless of your colour, race, ancestry, national origin, citizenship, social background, religion, gender identity, sexual orientation, age, marital status, disability, or veteran status, you are welcome to join us.

Just bring your whole self.