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- Tasks: Create targeted audiences using SQL and PySpark for personalised CRM campaigns.
- Company: Join Marks & Spencer, a leading UK retailer known for quality and innovation.
- Benefits: Enjoy 20% discount, competitive holidays, and wellbeing support including a Virtual GP.
- Why this job: Be at the forefront of data-driven marketing in a dynamic, collaborative environment.
- Qualifications: Knowledge of customer data and experience with Databricks is desirable.
- Other info: We value diversity and support all applicants throughout the recruitment process.
The predicted salary is between 28800 - 43200 £ per year.
Overview
A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills. Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing. Industry-leading parental, adoption, and neonatal policies, providing support and flexibility for your family. Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family. A charity volunteer day to support a charity or cause you\’re passionate about through a dedicated day away from work.
What you\’ll do
Your key accountabilities will include
- Create targeted audiences using SQL and PySpark with M&S customer datasets.
- Create real-time audiences in CRM platforms using real-time data.
- Ensure that campaign data specs and builds are delivered within our SLAs and best practice.
- Be able provide ad-hoc analysis on potential audience sizes for marketing stakeholders.
- Work with the Data Engineering and Data Product teams to identify and resolve any data/technical issues.
Who you are
Your skills and experience will include
- Knowledge of customer data in marketing context, experience with Databricks is desirable
- Good understanding of retail market and the ability to react to fast-paced dynamic working environment quickly is desirable
- Understanding of documentation using Confluence and ticket management using Jira is desirable
- SFMC (or similar) Journey building experience is desirable but not essential.
We are looking for an Audience Developer to join our amazing CRM Operations team within the Online department at Marks & Spencer, one of the UK\’s leading retailers. In this dynamic role, you\’ll be at the heart of building multi-channel audiences that power personalised CRM campaigns across multiple M&S divisions. Using cutting-edge technology like BEAM (our data warehouse), mParticle (our Customer Data Platform), and real-time customer data, you\’ll help deepen our relationships with customers through highly relevant, tailored experiences.
You\’ll take ownership of audience creation and management across various platforms—ensuring data accuracy, timely delivery, and audience cleanliness every day. As the go-to expert in audience selection, you\’ll leverage your SQL and PySpark skills to advise stakeholders on the best attributes to meet their business goals.
If you\’re passionate about data-driven marketing and enjoy working with advanced tools to create impactful customer journeys, this is the role for you.
To stay close to customers, our support teams are in the office three days a week as we believe that skills are developed through collaboration, and that spending time together makes us more creative and connected.
What\’s in it for you
Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day. We\’re an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.
- After completing your probationary period, you\’ll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.
- Competitive holiday entitlement with the potential to buy extra holiday days.
- Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
We are ambitious about the future of retail. We\’re disrupting, innovating, and leading the industry into a more conscientious, inspiring digital era. We\’re transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted, and admired by our colleagues, customers, and suppliers. Join us and make change happen.
We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.
If you feel you\’d benefit from any support or reasonable adjustments during any stage of the recruitment process, please let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
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Audience Developer employer: Marks and Spencer plc (UK)
Contact Detail:
Marks and Spencer plc (UK) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Audience Developer
✨Tip Number 1
Familiarise yourself with SQL and PySpark, as these are crucial for the Audience Developer role. Consider taking online courses or tutorials to sharpen your skills, especially in creating targeted audiences using customer datasets.
✨Tip Number 2
Gain a solid understanding of CRM platforms and how real-time data is used within them. This knowledge will help you demonstrate your ability to create real-time audiences effectively during interviews.
✨Tip Number 3
Network with professionals in the retail marketing sector, particularly those who work with data-driven campaigns. Engaging with industry experts can provide insights and potentially lead to referrals for the position.
✨Tip Number 4
Stay updated on the latest trends in data analytics and customer engagement strategies. Being knowledgeable about current industry practices will show your passion for the role and your commitment to continuous learning.
We think you need these skills to ace Audience Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Audience Developer role. Emphasise your knowledge of SQL, PySpark, and any experience with customer data in a marketing context.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven marketing. Mention specific tools and technologies you have worked with, such as Databricks or SFMC, and how they relate to the responsibilities outlined in the job description.
Showcase Your Analytical Skills: In your application, provide examples of how you've used data analysis to drive marketing decisions. Highlight any ad-hoc analyses you've conducted and how they benefited previous employers or projects.
Demonstrate Team Collaboration: Since the role involves working closely with Data Engineering and Data Product teams, mention any past experiences where you collaborated with cross-functional teams. This will show your ability to work in a dynamic environment and contribute to team success.
How to prepare for a job interview at Marks and Spencer plc (UK)
✨Showcase Your Technical Skills
As an Audience Developer, you'll be using SQL and PySpark extensively. Be prepared to discuss your experience with these technologies in detail, perhaps even sharing specific projects where you've successfully implemented them.
✨Understand the Retail Landscape
Familiarise yourself with the retail market and M&S's position within it. Being able to discuss current trends and how they impact customer engagement will demonstrate your industry knowledge and enthusiasm for the role.
✨Prepare for Data-Driven Discussions
Since the role involves creating targeted audiences and analysing data, be ready to talk about your approach to data analysis. Think of examples where you've used data to drive marketing decisions or improve campaign performance.
✨Emphasise Collaboration Skills
M&S values teamwork, so highlight your ability to work collaboratively with different teams, such as Data Engineering and Marketing. Share experiences where you’ve successfully resolved issues through teamwork or contributed to a group project.