At a Glance
- Tasks: Lead data collection and optimisation for major clients using Adobe Analytics.
- Company: Join DMPG, a dynamic team with high-profile clients like Audible and Royal Mail.
- Benefits: Enjoy a competitive salary, flexible working hours, and generous training budgets.
- Other info: Work in a fast-paced environment with excellent career growth opportunities.
- Why this job: Make a real impact on client engagements and drive digital transformation.
- Qualifications: 5+ years in Adobe Analytics and strong project management skills required.
The predicted salary is between 60000 - 80000 £ per year.
This is a chance to be part of a growing team delivering real value for major clients. We are often considered an extension of our client’s team and enjoy long‑standing working relationships. You should be motivated to make a real difference to all client engagements and to deliver best value through excellence.
Who we are: DMPG is a highly experienced team providing digital experience enablement services to our clients. We punch well above our weight and boast an impressive client roster including Audible, Boden, Royal Mail, TUI, Whitbread and many more high‑profile organisations.
What we do: Our core enablement services cover six key components within two service strands:
- Data layer strategy, design and implementation
- Tag management strategy, deployment and maintenance
- Analytics strategy, implementation and insights support
- Conversion rate optimisation strategy, execution and insights support
- Personalisation strategy, execution and insights support
- Omni‑channel digital customer experience journey orchestration
We guide our clients onto a digital maturity path to ensure they get the greatest value from their data set by removing any inefficiencies or uncertainties around accuracy.
The Role: We are looking for an exceptional candidate for a substantial leadership position within DMPG, driving forward data collection with our most exciting clients. This opportunity arose due to a temporary maternity leave. The role requires extensive experience with Adobe Analytics, an appetite for learning, strong project management, and the ability to communicate vision to senior decision makers.
Responsibilities include:
- Being the primary interface for our clients running their workstreams as per the six core services listed above.
- Ensuring all client requirements are understood, documented and validated, drawing on your experience to help define requirements.
- Providing strategic guidance on measurement, optimisation, and activation initiatives.
- Identifying opportunities to improve client data maturity and supporting the Client Services Director and the client on digital experience strategy and tool selection.
- Delivering training support to clients based on advanced capabilities of core tools we use.
- Creating and reviewing requirements documentation.
- Reviewing and supporting solution reference designs, implementation plans, and QA processes.
- Supporting the configuration of analytics tools (Report Suites, Target Activities, etc.).
- Coordinating internal team members and client stakeholders to ensure deliverables are completed on time.
- Supporting the delivery team to ensure QA is completed to the highest standard.
- Creating segments, calculated metrics and performance dashboards to meet all reporting requirements.
- Acting as a subject matter expert in Adobe Analytics and/or Customer Journey Analytics implementation.
Data Activation and Optimisation:
- Leading experimentation and optimisation programmes for clients.
- Supporting the design, prioritisation, and delivery of A/B tests and personalisation activities.
- Helping clients design and optimise omni‑channel customer journeys and activation programmes.
- Analysing test results and providing recommendations to improve customer experiences and business outcomes.
Essential Skills and Experience:
- 5+ years Adobe Analytics, including extensive use of admin functions & Workspaces (additional 1+ years Adobe Customer Journey Analytics preferred).
- Ability to support clients across workstreams that span Data Collection and Data Activation.
- Proficiency in Google and Microsoft office tools including spreadsheets and slide decks.
- Proactive by default.
- Excellent communication skills – verbal, written and presentation delivery.
- Excellent task management skills and comfort with triaging a long task list.
- Enjoys working in a fast‑paced, team environment.
Benefits:
- 5% Pension
- Bonus & Commission Schemes
- Employee Rewards & Benefits/Discounts Programme
- Enhanced Maternity/Paternity/Family Leave
- Private Medical Cover
- Training & Development Budgets
- £5k Limit on Cycle to Work Scheme
- Flexibility in Working Hours/Location
Location: London‑based (1 day per week), with optional meetings in Central London as needed to deliver projects for clients.
Contract Type: Permanent
Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.
Senior Enablement Lead (Analytics, CRO & Personalisation) employer: HAVAS
DMPG is an exceptional employer that fosters a collaborative and innovative work culture, allowing employees to make a significant impact on high-profile client engagements. With a strong focus on professional development, we offer extensive training budgets, flexible working arrangements, and a supportive environment that encourages growth and creativity. Located in London, our team enjoys the benefits of a vibrant city while working with leading brands, ensuring a rewarding and meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Enablement Lead (Analytics, CRO & Personalisation)
✨Tap into Online Data Science Communities
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Senior Enablement Lead (Analytics, CRO & Personalisation)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at HAVAS, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to HAVAS, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab HAVAS’s attention and show the tangible impact of your work.
How to prepare for a job interview at HAVAS
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at HAVAS.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at HAVAS.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at HAVAS.
