π Core Information
πΉ Job Title: Marketing Insights and Measurements Analyst (12 Month Fixed Term Contract)
πΉ Company: DeepMind
πΉ Location: London, UK
πΉ Job Type: Contract (12 months)
πΉ Category: Marketing & Communications
πΉ Date Posted: April 29, 2025
πΉ Experience Level: Mid-level (2-5 years)
πΉ Remote Status: On-site
π Job Overview
Key aspects of this role include:
- Gathering, organizing, and analyzing data to drive marketing strategies
- Creating insightful reports and dashboards to support decision-making
- Collaborating with cross-functional teams to identify trends and opportunities
- Monitoring and evaluating marketing channel performance and impact
- Supporting internal communications measurements and audience segmentation
ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and the ability to work independently and in a team environment.
π Key Responsibilities
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Data Analysis & Insights: Analyze data from various sources to derive actionable insights and support data-driven decision-making.
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Dashboard Creation & Maintenance: Develop and maintain self-serve dashboards to monitor key performance indicators (KPIs) and support issue identification and decision-making.
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Social Media Monitoring & Analysis: Monitor social media platforms for product use cases, feedback, and sentiment to support product positioning and demo designs.
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Reporting & Presentation: Prepare monthly performance reports and presentations, highlighting channel performance, learnings, and actionable insights.
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Website User Behavior Analysis: Analyze user behavior and journeys on the Google DeepMind website to identify trends and pain points, and improve user experience.
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Launch & Competitor Moment Analysis: Support analysis of Google DeepMind launches and competitor moments to understand external reactions, impact, and sentiment.
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Internal Communications Measurements: Support internal communications measurements, including channel analysis, metrics, KPIs, and audience segmentation.
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Channel Benchmarking: Maintain and update channel benchmarks to enable accurate campaign comparisons and moment evaluation.
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Stakeholder Collaboration: Partner with external and internal stakeholders to share learnings, implement best measurement practices, and drive marketing performance.
ASSUMPTION: This role involves a mix of strategic thinking, data analysis, and stakeholder management, requiring strong communication skills and the ability to work effectively with various teams.
π― Required Qualifications
Education:
- Bachelor's degree in Marketing, Statistics, Mathematics, or a related field
Experience:
- Proven experience (2-5 years) in a similar marketing data, insights, or analytics role
- Experience using AI tools to support work efficiencies and optimization (desired)
Required Skills:
- Strong numerical and analytical skills
- Excellent communication skills, both written and verbal
- Ability to combine and interpret high volumes of data from multiple sources
- Proficiency in Google Analytics, Brandwatch, Google Search Console, YouTube Analytics, Looker Studio, and other relevant tools
- Strong project management skills and experience in creating insight dashboards
Preferred Skills:
- Experience working with PR/comms reporting tools such as NewsWhip
- Familiarity with audience insights and social media research
- Knowledge of AI and machine learning principles
ASSUMPTION: Candidates with a strong analytical background and experience in marketing data analysis will be well-suited for this role. Familiarity with AI tools and principles is a plus but not required.
π° Compensation & Benefits
Salary Range: Β£35,000 - Β£45,000 per annum (pro-rated for the 12-month contract), depending on experience and qualifications. This estimate is based on industry standards for mid-level marketing data and insights roles in London.
Benefits:
- Competitive benefits package, including health insurance and pension contributions
- Flexible working hours and remote work options (up to 2 days per week)
- Opportunities for professional development and training
Working Hours: Full-time (37.5 hours per week), with flexible working hours and remote work options available.
ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's qualifications and experience.
π Applicant Insights
π Company Context
Industry: DeepMind operates in the research services industry, focusing on artificial intelligence and machine learning. The company is committed to solving intelligence and advancing science and benefiting humanity.
Company Size: DeepMind is a medium-sized company with 501-1,000 employees, providing a collaborative and innovative work environment.
Founded: DeepMind was founded in 2010 and has since grown to become a leading AI research company, with a track record of breakthroughs in fundamental AI research.
Company Description:
- DeepMind is a team of scientists, engineers, machine learning experts, and more, working together to advance the state of the art in artificial intelligence.
- The company uses its technologies for widespread public benefit and scientific discovery and collaborates with others on critical challenges, ensuring safety and ethics are the highest priority.
- DeepMind has a track record of breakthroughs in fundamental AI research, published in journals like Nature and Science, and has developed programs that learn to diagnose eye diseases, save energy in data centers, and predict protein shapes.
Company Specialties: Artificial Intelligence and Machine Learning
Company Website:
DeepMind Website
ASSUMPTION: DeepMind's focus on AI and machine learning provides unique opportunities for candidates interested in cutting-edge research and technology.
π Role Analysis
Career Level: This role is suitable for mid-level professionals with 2-5 years of experience in marketing data analysis or a related field.
Reporting Structure: The Marketing Insights and Measurements Analyst will report to the Marketing Analytics and User Insights Lead.
Work Arrangement: This is an on-site role, with flexible working hours and remote work options available (up to 2 days per week).
Growth Opportunities:
- Opportunities to work on various research programs and projects, expanding responsibilities and skillset
- Potential to grow into a more senior role within the marketing team or explore other opportunities within DeepMind
- Access to professional development and training resources
ASSUMPTION: This role offers opportunities for professional growth and development, both within the marketing team and across DeepMind's various research and technology divisions.
π Location & Work Environment
Office Type: DeepMind's London office is a modern, collaborative workspace with state-of-the-art facilities and amenities.
Office Location(s):
- Kings Cross, London, London N1C 4AG, GB
- Avenue McGill College, Montreal, Quebec H3B 2Y5, CA
- Rue de Londres, Paris, Paris 75009, FR
- Amphitheatre Pkwy, Mountain View, California 94043, US
- 111 8th Ave, New York, New York 10011, US
Geographic Context: London is a vibrant, multicultural city with a thriving tech industry, providing ample opportunities for professional networking and growth.
Work Schedule: Full-time (37.5 hours per week), with flexible working hours and remote work options available (up to 2 days per week).
ASSUMPTION: DeepMind's London office provides a dynamic and innovative work environment, with opportunities for collaboration and professional development.
πΌ Interview & Application Insights
Typical Process:
1. Online application review
2. Phone or video screen with the hiring manager
3. In-depth technical interview, focusing on data analysis and visualization skills
4. Final interview with the marketing team lead
Key Assessment Areas:
- Data analysis and visualization skills
- Problem-solving abilities
- Communication and presentation skills
- Cultural fit and alignment with DeepMind's values
Application Tips:
- Tailor your resume and cover letter to highlight relevant skills and experiences, using ATS-optimized keywords from the job description
- Prepare for the technical interview by brushing up on your data analysis and visualization skills, and familiarizing yourself with relevant tools and software
- Research DeepMind's company culture and values to demonstrate your cultural fit and alignment
ATS Keywords: Marketing Data, Insight Analytics, Google Analytics, Brandwatch, Google Search Console, YouTube Analytics, Looker Studio, PR Reporting Tools, Numerical Skills, Analytical Skills, Project Management, Social Listening, Audience Analysis, Data Analysis, Communication Skills, Storytelling Skills
ASSUMPTION: DeepMind's recruitment process is designed to assess candidates' technical skills and cultural fit, with a focus on data analysis, communication, and problem-solving abilities.
π οΈ Tools & Technologies
- Google Analytics
- Brandwatch (social listening)
- Google Search Console
- YouTube Analytics
- Looker Studio (reporting and dashboarding)
- PR/comms reporting tools (e.g., NewsWhip)
- Microsoft Office Suite (Excel, PowerPoint)
- Google Workspace (Gmail, Google Drive, Google Docs)
ASSUMPTION: Familiarity with these tools is essential for success in this role, and candidates should be prepared to demonstrate their proficiency during the interview process.
π Cultural Fit Considerations
Company Values:
- Solve intelligence
- Advance science and benefit humanity
- Be responsible
- Work together
- Be curious
Work Style:
- Collaborative and innovative
- Data-driven and analytical
- Results-oriented and actionable
- Committed to continuous learning and improvement
Self-Assessment Questions:
1. How do you align with DeepMind's value of "Be responsible," and how would you apply this principle to your work in this role?
2. How comfortable are you working in a fast-paced, collaborative environment with various stakeholders?
3. How do you approach continuous learning and improvement in your professional development?
ASSUMPTION: DeepMind's company culture is driven by its values and commitment to solving intelligence, advancing science, and benefiting humanity. Candidates should demonstrate alignment with these values and a strong work ethic to succeed in this role.
β οΈ Potential Challenges
1. Managing multiple priorities and projects simultaneously, requiring strong organizational skills and time management
2. Working with large datasets and complex tools, demanding a solid foundation in data analysis and visualization
3. Collaborating with various stakeholders, requiring excellent communication and interpersonal skills
4. Keeping up with the fast-paced nature of the AI and machine learning industry, necessitating a commitment to continuous learning and professional development
ASSUMPTION: These challenges are inherent to the role and require candidates to possess strong analytical, communication, and organizational skills, as well as a commitment to continuous learning and professional development.
π Similar Roles Comparison
1. Marketing Data Analyst vs. Marketing Insights and Measurements Analyst: While both roles focus on data analysis and insights, the Marketing Insights and Measurements Analyst role places a greater emphasis on storytelling, communication, and stakeholder management.
2. AI and Machine Learning Industry Context: DeepMind's focus on AI and machine learning provides unique opportunities for candidates interested in cutting-edge research and technology.
3. Career Path Comparison: This role offers opportunities for professional growth and development, both within the marketing team and across DeepMind's various research and technology divisions.
ASSUMPTION: Understanding the differences between similar roles and the unique opportunities provided by DeepMind's focus on AI and machine learning can help candidates determine if this role is the right fit for their career goals.
π Sample Projects
1. Analyzing website user behavior to identify trends and pain points, and developing data-driven recommendations to improve user experience
2. Monitoring social media platforms for product use cases, feedback, and sentiment, and creating actionable insights to support product positioning and demo designs
3. Evaluating the impact and sentiment of Google DeepMind launches and competitor moments, and presenting findings to stakeholders to inform future marketing strategies
ASSUMPTION: These sample projects illustrate the data analysis, communication, and stakeholder management skills required for success in this role.
β Key Questions to Ask During Interview
1. How does this role support DeepMind's mission to solve intelligence and advance science and benefit humanity?
2. What are the most pressing challenges facing the marketing team, and how can this role contribute to addressing them?
3. How does DeepMind support the professional development and growth of its employees?
4. What opportunities are there for collaboration and knowledge-sharing with other teams and departments within DeepMind?
5. How does DeepMind approach work-life balance and employee well-being?
ASSUMPTION: Asking thoughtful, informed questions demonstrates candidates' interest in the role and commitment to DeepMind's mission and values.
π Next Steps for Applicants
To apply for this position:
- Submit your application through this link:
DeepMind Job Application
- Tailor your resume and cover letter to highlight relevant skills and experiences, using ATS-optimized keywords from the job description
- Prepare for the technical interview by brushing up on your data analysis and visualization skills, and familiarizing yourself with relevant tools and software
- Research DeepMind's company culture and values to demonstrate your cultural fit and alignment
- Follow up with the hiring manager one week after submitting your application to confirm receipt and reiterate your interest in the role
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.