Senior Data Analyst

Description

Agency:

Job Function:

Data and Analytics

Job Subfunction:

Data Science and Analytics

The Data Analytics team at RAPP is a driving force behind the agency's success. Sitting within a wider Marketing Sciences team, we drive value for our clients by delivering work that helps them to market and run their businesses more effectively and efficiently, empowering them to make data-driven decisions that directly impact performance and drive measureable results.

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.
• Some of the projects and tasks you may lead include:
• Delivering and managing an on-going test and learn planm 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
• The Opportunity
• RAPP’s clients are hugely varied, as is the work they ask us to do. But what unites them is that data is a strategic imperative for them. You will be front and centre of what RAPP does, and a key part of delivering for and growing your client.
• You’ll be joining a large (30+) group of talented and supportive people, in a group where culture and team cohesion really matter.
• We treat our team as grown ups. You will have proper autonomy to run your own projects – with the help of said supportive team, of course.
• Developing how we work and function as a team is a group endeavour, not just the highest paid person in the room. You will be canvassed, and your voice listened to, around what our deliverables should look like and how our team should run.

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
• You will likely work across some of the following areas in your RAPP career and experience of any of the below is a plus; if you have experience of none of these things but think you fit the main criteria, we’d still love to hear you.
• Creating data pipelines and scheduling regular batch jobs (in Airflow or equivalent).
• Working with cloud environments in an engineering capacity
• Marketing orchestration/ad tech tools/stacks (Salesforce/Braze/Adobe/DSPs etc)
• Social analytics
• Attribution/MMM
• Brief writing for more junior team members
• Business casing
• Customer segmentation and modeling
• Running test and learn programmes
• Customer journey/experience planning
• Tagging, tracking and taxonomy
• Team management/mentoring
• &xa;&xa;
• Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.