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- Tasks: Design, analyze, and optimize data models to drive marketing performance.
- Company: Join a top media conglomerate focused on innovative marketing solutions.
- Benefits: Enjoy a hybrid work model and competitive salary up to £70,000.
- Why this job: Make an impact by leveraging data to enhance business growth and customer insights.
- Qualifications: Strong skills in SQL, Python or R, and experience in statistical analysis required.
- Other info: Opportunity to work with a leading team in a dynamic industry.
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 pre…
Marketing Data Scientist employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment 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
Research the company’s recent marketing campaigns and data-driven projects. Being able to discuss their strategies and how you can contribute to their goals will show that you are genuinely interested in the role and the company.
✨Tip Number 3
Prepare to discuss your previous experiences with data analysis and how they relate to marketing performance. Use specific examples that highlight your ability to translate business needs into actionable insights.
✨Tip Number 4
Network with current or former employees of the company on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during the interview process.
We think you need these skills to ace Marketing Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Marketing Data Scientist position. Understand the key responsibilities and required skills, such as SQL, Python, R, and data visualization.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your background in statistical analysis and any projects where you've built predictive models.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and marketing. Mention specific examples of how you've used data to drive business decisions and optimize performance.
Highlight Relevant Projects: Include details about specific projects or experiences that demonstrate your ability to collect and analyze data, as well as your proficiency in translating business needs into technical requirements.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨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 to solve real-world problems.
✨Understand the Business Context
Familiarize yourself with the company's business model and how data science can drive marketing performance. Be ready to discuss how your work can align with their goals and contribute to their success.
✨Prepare for Case Studies
Expect to tackle case studies or practical scenarios during the interview. Practice analyzing data sets and presenting your findings clearly, as this will demonstrate your analytical thinking and problem-solving abilities.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and how they leverage data for marketing decisions. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
