At a Glance
- Tasks: Lead data analysis projects to enhance customer experiences and marketing effectiveness.
- Company: VML is a global creative agency merging creativity, technology, and consultancy for innovative solutions.
- Benefits: Enjoy a hybrid work model, fostering collaboration and flexibility in your role.
- Why this job: Join a dynamic team that values creativity, diversity, and impactful data-driven decisions.
- Qualifications: 3+ years in marketing analytics, proficient in Python, SQL, and data visualisation tools.
- Other info: Be part of a culture that prioritises learning and development for all team members.
The predicted salary is between 43200 - 72000 £ per year.
Location: London Hybrid
We are looking for a Senior CRM Analyst to work within the VML Data team. The Senior Analyst will analyse data to deliver value through understanding our clients’ customers and the performance of marketing activities. Working closely with the wider analytics and data team you will be responsible for the development and delivery of measurement and insight projects across various marketing activities and contribute to answering business questions, ultimately ensuring that we are making best use of available data to deliver against the client vision.
On a day-to-day basis you will take ownership and leadership of analysis projects, delivering them to a high degree of accuracy and take a role in presenting results and insights to clients. This is predominantly a technical role grounded in customer data, so you should be experienced in handling large customer data sets. Communication and interpersonal skills are important, both in collaborating with clients and colleagues across multiple disciplines.
Role & Responsibilities
- Design, manage, and deliver end-to-end analyses aimed at helping Marketing to improve the experience of the customer
- Deliver measurement and effectiveness projects, including dashboard reporting and deep dive evaluations to understand the impact marketing has on customer behaviour
- Deliver and take lead on customer projects (segmentation, modelling), utilising statistical techniques to develop a deep understanding of customers
- Ensure that the most relevant methodologies are applied to measure and evaluate, proactively recommending better ways of working
- Develop and provide written and verbal output on reports and presentations, supporting with recommendations on marketing strategy
- Manage and resolve data issues involving quality and consistency of data
- Be the clients trusted advisor on data and analytical methodology - make it easy for them to make business decisions based on data
- Present to clients and attend client meetings. Be highly collaborative in integrating data work into agency deliverables, working with strategy and account teams to develop a culture of data informed decision-making.
- Offer leadership and expertise to support the development of junior team members
- Develop the skills and knowledge of colleagues, creating and sustaining a learning culture within the team.
Skills and experience
- 3+ years working in a marketing or related field as an analyst or senior analyst
- Experience of coding languages for analysis (Python & SQL preferred)
- Experience of platforms such as Salesforce
- Experience of developing wireframes and creating dashboards
- High level Microsoft Word, Excel and PPT skills
- Proven record of delivering high quality outputs
- Attention to detail and a commitment to accuracy
- Ability to manage own workload autonomously and thrive in an agency environment
- Able to translate business needs and requirements to analytical methods and outputs
- Good written and verbal communication skills
- High level analytical skills in relation to performance analysis
- Experience of devising, implementing and managing reporting dashboard design, update and automation using tools such as PowerBI, Tableau and Looker Studio
- Good knowledge of advanced data analysis techniques that include customer segmentation, predictive modelling, multivariate analysis, querying and reporting tools, A/B testing and statistical significance
We believe the best work happens when we’re together, fostering creativity, collaboration, and connection. That’s why we’ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Senior CRM Data Analyst employer: VML South Africa
Contact Detail:
VML South Africa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior CRM Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in CRM analytics and data analysis. Being well-versed in current methodologies and tools like PowerBI or Tableau will not only boost your confidence but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Network with professionals in the industry, especially those who work at VML or similar companies. Engaging with them on platforms like LinkedIn can provide you with insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully analysed customer data and delivered actionable insights. Highlighting your experience with large datasets and your ability to communicate findings effectively will set you apart from other candidates.
✨Tip Number 4
Showcase your leadership skills by discussing how you've mentored junior analysts or contributed to team development. VML values collaboration and a learning culture, so demonstrating your ability to uplift others will resonate well with the hiring team.
We think you need these skills to ace Senior CRM Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in marketing. Emphasise your skills in coding languages like Python and SQL, as well as your familiarity with platforms such as Salesforce.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how it can drive marketing success. Mention specific projects where you've successfully delivered insights and recommendations, showcasing your ability to communicate complex data effectively.
Showcase Technical Skills: Clearly outline your technical skills related to data analysis, including your experience with dashboard tools like PowerBI or Tableau. Provide examples of how you've used these tools to create impactful reports or visualisations.
Highlight Collaboration Experience: Since the role involves working closely with clients and colleagues, include examples of past collaborative projects. Demonstrate your ability to integrate data work into broader marketing strategies and how you’ve contributed to a team environment.
How to prepare for a job interview at VML South Africa
✨Showcase Your Technical Skills
As a Senior CRM Data Analyst, you'll need to demonstrate your proficiency in coding languages like Python and SQL. Be prepared to discuss specific projects where you've used these skills to analyse large data sets and deliver actionable insights.
✨Prepare for Client-Facing Scenarios
Since the role involves presenting results to clients, practice explaining complex data findings in a clear and concise manner. Think of examples where you've successfully communicated insights that influenced marketing strategies.
✨Highlight Your Analytical Techniques
Familiarise yourself with advanced data analysis techniques such as customer segmentation and predictive modelling. Be ready to discuss how you've applied these methods in previous roles to drive business decisions.
✨Demonstrate Collaboration Skills
The position requires working closely with various teams. Prepare examples of how you've collaborated with colleagues from different disciplines to integrate data insights into broader marketing strategies.