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For Companies At a Glance
- Tasks: Develop and implement Marketing Mix Models to measure marketing impact.
- Company: Join a dynamic team focused on marketing strategy and analytics in West London.
- Benefits: Enjoy a flexible work schedule with 4 days onsite and 1 day WFH.
- Why this job: Be part of a collaborative environment that values diverse backgrounds and innovative ideas.
- Qualifications: 4+ years in marketing data analysis, with expertise in Python/r and SQL required.
- Other info: We prioritise accessibility and inclusion; adjustments can be made during the recruitment process.
The predicted salary is between 48000 - 72000 £ per year.
Location: West London, 4 days onsite, 1 day WFH
Contract: 6 months, start ASAP (weeks notice)
Application: Apply online only, pay rate inside for Umbrella
Role Overview
Seeking a Senior Marketing Analyst with at least 4 years of experience in marketing data analysis, including 2 years building Marketing Mix Models (MMM's) using regression analysis, Python/R, SQL, and data visualization tools like Looker/Tableau. Experience in the media subscription sector (e.g., VoD/AVOD streaming services) or consultancies providing MMM is a plus.
Team Focus
The team focuses on programming strategy, marketing, customer acquisition and retention, partnerships, research, and analytics.
Key Responsibilities
- Develop, design, and implement MMM's, experimentation, and geo-testing to measure marketing impact.
- Collaborate with Marketing, Finance, and Research teams to identify measurement opportunities and build measurement roadmaps.
- Partner with global Analytics teams on model alignment and methodology development.
- Provide strategic recommendations for media mix optimization to guide future campaigns.
- Coordinate with media owners and review media plans.
Required Skills & Experience
- Minimum 4 years in marketing data analysis, with 2 years building MMM's.
- Experience with regression analysis, Python/R, SQL, and visualization tools.
- Experience in the media subscription sector or MMM consultancy experience is advantageous.
- Proven ability to build multiple MMM's, conduct A/B tests, and apply statistical modeling techniques.
- Proficiency in Python and/or R.
- Strong SQL skills, familiar with data warehousing (Snowflake, Databricks).
- Ability to translate technical results into clear presentations and actionable insights.
- Excellent communication and stakeholder management skills, including engaging with senior stakeholders.
Additional Information
We welcome applicants from diverse backgrounds. We are committed to accessibility and inclusion throughout the recruitment process. Please inform us of any adjustments needed.
Senior Marketing Data Analytics Analyst (MMM\'s/Python/r) employer: PCR Digital
Contact Detail:
PCR Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Marketing Data Analytics Analyst (MMM\'s/Python/r)
✨Tip Number 1
Familiarise yourself with the latest trends in Marketing Mix Modelling (MMM) and be prepared to discuss how you've applied these in your previous roles. This will show that you're not only experienced but also up-to-date with industry practices.
✨Tip Number 2
Network with professionals in the media subscription sector or those who have experience in MMM consultancy. Engaging with them can provide insights into the role and may even lead to referrals, which can significantly boost your chances.
✨Tip Number 3
Prepare to showcase your technical skills in Python, R, and SQL during the interview. Consider working on a small project or case study that demonstrates your ability to build MMMs and conduct A/B tests, as practical examples can make a strong impression.
✨Tip Number 4
Brush up on your communication skills, especially in translating complex data findings into actionable insights. Be ready to discuss how you've effectively communicated with senior stakeholders in the past, as this is crucial for the role.
We think you need these skills to ace Senior Marketing Data Analytics Analyst (MMM\'s/Python/r)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in marketing data analysis, particularly your work with Marketing Mix Models (MMM's). Emphasise your proficiency in Python, R, SQL, and any relevant data visualisation tools like Looker or Tableau.
Craft a Compelling Cover Letter: In your cover letter, explain why you are the perfect fit for this role. Mention your specific experience with MMM's and how it relates to the media subscription sector. Use examples to demonstrate your ability to provide strategic recommendations and collaborate with various teams.
Showcase Relevant Projects: If possible, include a portfolio or a brief description of projects where you've successfully built MMM's or conducted A/B tests. This will give the hiring team concrete evidence of your skills and experience.
Highlight Communication Skills: Since the role requires excellent communication and stakeholder management skills, make sure to mention any experiences where you've effectively engaged with senior stakeholders or presented complex data insights in an understandable way.
How to prepare for a job interview at PCR Digital
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, R, and SQL in detail. Bring examples of how you've used these tools to build Marketing Mix Models and conduct regression analysis. This will demonstrate your technical proficiency and relevance to the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about past projects where you developed MMMs or conducted A/B tests, and be ready to explain your thought process and the outcomes.
✨Communicate Clearly and Effectively
Since the role involves engaging with senior stakeholders, practice translating complex data findings into clear, actionable insights. Use simple language and visual aids if necessary to ensure your points are understood.
✨Research the Company and Industry
Familiarise yourself with the media subscription sector and any recent trends or challenges. Understanding the company's position within this landscape will help you tailor your responses and show genuine interest in the role.
