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For Companies At a Glance
- Tasks: Design, analyze, and optimize data to drive marketing performance.
- Company: Join a top media conglomerate focused on marketing excellence.
- Benefits: Earn up to £70,000 with hybrid work options in London.
- Why this job: Make an impact by leveraging data for business growth in a dynamic environment.
- Qualifications: Strong skills in SQL, Python or R, and experience in predictive analytics required.
- Other info: Collaborate with stakeholders to translate business needs into actionable data insights.
The predicted salary is between 42000 - 84000 £ per year.
Marketing Data Scientist Up to £70,000 Hybrid – London A great opportunity to join a leading media conglomerate as a Marketing Data Scientist THE COMPANY The business is one of the world’s leading media conglomerates and this role sits within its subsidiary business which focuses on help clients to excel in marketing and accelerate performance from a marketing perspective. Joining as a Marketing Data Scientist, you will be responsible for focusing on designing, analysing and optimising data and processes that underpin the overall business model. Enabling the business to capitalise and leverage data to optimise business growth. THE ROLE AND RESPONSIBILITIES Ensuring data models align with business goals Translating business needs into technical requirements for data model projects Collecting and analysing data to provide insights into customer behaviour, revenue trends, market trends and operational performance Identify factors that may affect business models Integrating data to analyse efficiency, gaps or internal and external constraints Building prescriptive and predictive models using data analysis YOUR SKILLS AND EXPERIENCE Strong experience in SQL, Python or R and Data Visualisation Proven track record in statistical analysis and predictive analytics Experience developing predictive models Strong stakeholder management skills THE BENEFITS Up to £70,000 Hybrid London HOW TO APPLY If interested in the role please send your CV to Jordan Victor via the Apply Link below
Marketing Data Scientist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Scientist
✨Tip Number 1
Familiarize yourself with the specific data tools and technologies mentioned in the job description, such as SQL, Python, or R. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical proficiency during discussions.
✨Tip Number 2
Prepare to discuss real-world examples of how you've used data analysis to drive marketing decisions. Highlight any predictive models you've developed and the impact they had on business outcomes, as this will showcase your ability to translate data into actionable insights.
✨Tip Number 3
Research the company’s recent marketing initiatives and data-driven projects. Being knowledgeable about their current strategies will allow you to engage in meaningful conversations and show that you're genuinely interested in contributing to their success.
✨Tip Number 4
Strengthen your stakeholder management skills by preparing to discuss how you've collaborated with different teams in the past. Emphasizing your ability to communicate complex data insights to non-technical stakeholders will be crucial for this role.
We think you need these skills to ace Marketing Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python or R, and data visualization. Emphasize any relevant projects or roles that demonstrate your statistical analysis and predictive analytics skills.
Craft a Compelling Cover Letter: In your cover letter, explain how your background aligns with the responsibilities of the Marketing Data Scientist role. Mention specific examples of how you've used data to drive business growth and optimize performance.
Showcase Stakeholder Management Skills: Highlight your experience in managing stakeholders effectively. Provide examples of how you've communicated complex data insights to non-technical audiences, as this is crucial for the role.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Python, or R during the interview. Be prepared to discuss specific projects where you utilized these skills, as well as any data visualization tools you've worked with.
✨Demonstrate Your Analytical Thinking
Prepare examples that showcase your ability to conduct statistical analysis and develop predictive models. Discuss how your insights have led to actionable business decisions in previous roles.
✨Understand the Business Context
Research the company and its subsidiary's focus on marketing performance. Be ready to discuss how your work as a Marketing Data Scientist can align with their business goals and contribute to their success.
✨Engage with Stakeholders
Highlight your strong stakeholder management skills by preparing to discuss how you've effectively communicated technical requirements to non-technical team members in the past. This will demonstrate your ability to bridge the gap between data science and business needs.
