At a Glance
- Tasks: Analyse data to improve marketing strategies and deliver actionable insights.
- Company: Top global company with a focus on innovative marketing solutions.
- Benefits: Remote work flexibility, competitive pay, and professional growth opportunities.
- Other info: 6-month contract with potential for career advancement.
- Why this job: Join a dynamic team and make a real impact on global marketing efforts.
- Qualifications: Experience in data analysis, MMM, and working with diverse data sets.
The predicted salary is between 40000 - 50000 £ per year.
My client, a top global company, is currently looking to recruit a Data Analyst with Marketing Mixed Modelling (MMM) experience working with Consumption and Media Data to join their team on a 6-month contract basis. Please note if successful, this position will need to set up via an Umbrella Company/PAYE.
The MMM project includes all work pertaining to improving media spend coverage of Marketing Mix Modelling from 65% to 80% at our client through the availability of Marketing Mix Models (in-house and outsourced to a modelling partner). Multiple squads are part of the MMM initiative and loosely ladder up into the following different areas:
- Modelling
- Data Ingestion & automation
- Internalisation of external developed architecture
- Visualisation
As we continue to increase the coverage of MMM via our internally built capability, we require a Data Analyst with MMM, Consumption and Media Data to aid the Business Units (BUs) translate modelling results into actionable insights to realise value.
We require a seasoned Data Analyst with MMM experience to support on the scope of MMM deliveries, deliver model results and create and check data within Consumption and Media Data sets.
Scope:
- Work with MMM Consultants and stakeholders to support on the scope of MMM deliveries (including what data to include and aligning on the scope of the models).
- Over 2026, deliver 25 BMCs models (phased quarterly).
- Track value realisation with the aim to show a 5% increase in ROI from media spend.
Key experience for the Data Analyst with MMM & Consumption Data:
- Experience in data analysis with MMM - Marketing Mixed Modelling, and working with data sets including Consumption data, Media data, sales and distribution data; and other relevant data sets.
- Experience analysing and delivering data sets and models.
- Experience delivering data analysis within MMM for clients with a global footprint (e.g. involved in projects across EMEA, APAC, US, LATAM etc.).
Data Analyst with MMM & Consumption Data in London employer: Lorien
As a leading global company, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Our Data Analyst role offers the unique opportunity to engage in impactful projects while working remotely with minimal onsite requirements, allowing for a flexible work-life balance. Join us to be part of a collaborative team dedicated to driving innovation and delivering actionable insights in the exciting field of Marketing Mix Modelling.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst with MMM & Consumption Data in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Lorien before they're even advertised!
✨Show Off Your Skills With Projects
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.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Lorien.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Lorien.
We think you need these skills to ace Data Analyst with MMM & Consumption Data in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Lorien, 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 Lorien, 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 Lorien’s attention and show the tangible impact of your work.
How to prepare for a job interview at Lorien
✨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 Lorien.
✨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 Lorien.
✨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 Lorien.
