Data Analyst - Permanent in London

We are RAPP – world leaders in activating growth with precision and empathy at scale. As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviours, and aspirations. We foster an inclusive workplace that values diversity and emphasises personal well-being.

The Marketing Sciences team at RAPP is a driving force behind the agency's success, harnessing the power of data and technology. We are superconnectors, bridging the gap between creativity, data and tech to unlock limitless possibilities and disruption. Our mission is to provide deep insights and a true robust understanding of our clients' businesses and marketing challenges. Our expertise is to empower our agency and the client to make data-driven decisions that directly impact performance and drive measurable results. From identifying the untapped value of client data to expanding its potential through data capture, rigorous analysis, and statistical techniques, we leave no stone unturned. We are split into 4 disciplines in Marketing Sciences; Data Science, Data Analytics, Data Enablement and Data Visualisation to enable us to deliver against any client data driven challenge.

In the Data Analytics team you will ensure both the voice of the customer and CFO are represented in the room with hard evidence. As well as supporting exceptional customer experiences using data, you will help ensure every action we take is directly improving performance against your clients' objectives. As an Analyst, you will work under supervision to deliver projects within set deadlines, utilising your strong hands-on analytical capabilities. Your strengths in Python and SQL will ensure you can efficiently deliver robust analytics with guidance from your team. Your experience with web and social analytics tools (GA / Adobe / Brandwatch / Sprinklr) and data visualisation tools (Power BI / Tableau / Looker / etc) will enable you to uncover key insights across channels and create self-service dashboards.

You will be comfortable working as part of a team with supervision from seniors, whilst being able to execute analysis independently. You’ll be sharing findings back to more senior members of the team to shape for articulation to clients. Under the guidance of senior members of the team you support answering strategic questions using data and forge an understanding of how to deliver personalisation at scale. In Data Analytics you won’t be expected to build advanced segmentations and data science models, but you will develop an understanding of the art of the possible with data science, the necessary data required to fuel models and an ability to spot where a business challenge would be best supported through automation or leveraging the latest modelling techniques.

You will have a developing interest with the omni-channel landscape and be able to develop a strong understanding of how to capture and utilise data across channels, from creating tagging and taxonomy to measurement with web analytics tools. Once you join the team, you will be onboarded to our product suite and playbooks and be capable of articulating and following these best-in-class approaches. The ideal candidate is ready to jump in. Find problems. Fix them. Build relationships. Stay up-to-date with the latest innovations. Do whatever it takes to go above and beyond. And stand up for individuality.

YOUR RESPONSIBILITIES

• You will be mentored to understand how to become a manager.
• You will follow the direction of your line manager and manage upwards when needed.
• Understanding clients’ objectives, their business and KPIs and step change their businesses through the power of data.
• Deliver and understand the role of the work briefed to you.
• Challenge the briefs and ambition of the work.
• Build relationships with analysts client side.
• Support the creation of best-in-class, statistically significant, measurement and reporting.
• Collaborate in a results-driven, test, learn and optimisation culture for the client.
• Communicate analytical outputs.
• Ensure deliverables are completed on time and learn to deliver presentation quality.
• Follow robust, scalable and efficient processes for delivery.
• Be aware of our new business pitches and work we are doing.
• Participate in thought pieces / case studies / award entries showing off your work to the industry.
• Understand our network and other players within it.
• Focus on your constant evolution - Show a desire to learn and develop core analytical skills.
• Understand your strengths and weaknesses and train accordingly.

YOUR SKILLS AND EXPERIENCE

• Bachelor’s Degree in a quantitative subject (Statistics, Mathematics, Economics) or Social Sciences, with heavy emphasis on quantitative methods; Master’s degree or PHD is a plus. Degree will not be required with appropriate work experience.
• 1 – 2 years of relevant experience in marketing analytics, customer experience insights, performance optimization, ideally in a marketing agency or management consulting practice.
• You will be expected to have an understanding and with guidance utilise our core technical skills: Core analytical languages and software (Excel, SQL, Python, Alteryx), Statistics, Data Visualisation tools (Power BI / Tableau / Looker / etc), Web and Social Analytics (GA / Adobe / Brandwatch / Sprinklr), Value engineering / Business casing, Performance Measurement and Measurement Frameworks, Data Protection / GDPR, Customer journey analysis and planning, Brief planning and writing, Progressive data capture, Segmentation and Modelling, Martech design and ecosystem tracking (tagging and taxonomy).
• Developing knowledge of experimental / multivariate test design techniques.
• Growing knowledge of 1st, 2nd and 3rd party data.
• Confident, conscientious, self-starter, a good work ethic, and capable of building good working relationships with clients as well as other team members.
• Naturally curious, imaginative and have a practical approach to problem solving.
• Experience jumping in, finding problems across data and process, and fixing them.
• Ability to work independently as well with a team in an agile and fast environment.
• Ability to develop, learn, follow and adapt repeatable processes or products to drive efficiency and consistency of delivery.