Senior Data Analyst (Web Analytics) - Permanent at RAPP | London, UK

RAPP

Senior Data Analyst (Web Analytics) - Permanent

London, UK (Hybrid)

Salary Not AvailableSenior Level4+ years expFull time

Posted 1 month ago

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Job Summary

Own end to end analytics projects across clients and drive data driven decisions with junior analysts, while shaping cross channel strategies and testing plans.

Lead end to end analytics programs across clients and support new business growth.
Orchestrate an ongoing test and learn plan for omnichannel marketing and improve data quality with first party data.
Leverage AI tools to optimize creative and build multi variate segments to measure impact.

Job Description

Responsibilities

As a Senior Analyst, you’ll lead projects end-to-end, direct junior analysts, and help shape strategies that use data to drive smarter decisions across channels.
You will do this on one flagship clients or across multiple accounts, and will also play a role in supporting new business growth, and driving best practice across the team.
Delivering and managing an on-going test and learn plan for a client’s omnichannel marketing activities
Lead a strategic initiative to understand how to use a client’s first party data to power above-the-line media buys.
Lead a progressive data capture exercise that clients can use to understand how to drive overall levels of data quality and volume in their business
Use RAPP’s AI tools to drive an ongoing creative optimization programme
Create multi-variate customer segments and measure the impact of marketing against this audience

Requirements

You are hands on with data – you use SQL and/or Python regularly and write code to pull data from a GCP, AWS, Azure or equivalent
You’re not a stats expert, but you do understand, use and can talk about some basic concepts (feature importance, regression, clustering, causation vs correlation), etc.
You have 4+ years working agency, consulting or client side with customer or customer-related datasets - think marketing analytics, sales analysis, product analysis, consumer profiling etc. If you don’t have this experience, you can show how what you’ve done before will compensate for this.
You’re comfortable taking data and turning it into tangible recommendations for a non-technical, decision-making audience. Ideally this would include answering a mix of more tactical (post campaign analysis, investment analysis, media evaluation) and strategic questions
You’re a strong communicator, and are used to working closely with and presenting to internal non-technical stakeholders or clients
You are curious, ask a lot of questions and are interested in the “why” of data – what it means, and what clients should do with it. That curiosity extends to a desire to understanding a dataset and not just taking it at face value – you are accurate, detail-oriented and if a piece of data looks wrong, you’ll want to know why that might be.
You’ll get a kick working across multiple teams (at a client level and an analytics level), learning from others and sharing things you’ve learned with you
You’ll be OK working independently and happy to run projects with limited oversight