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For Companies At a Glance
- Tasks: Analyse data to drive marketing strategies and improve customer experiences.
- Company: Join a leading social network focused on innovative data-driven marketing solutions.
- Benefits: Enjoy flexible working options, professional development opportunities, and a vibrant team culture.
- Why this job: Be part of a dynamic team that values creativity and impactful insights in a fast-paced environment.
- Qualifications: Relevant experience in Data Strategy or related fields; strong analytical and communication skills required.
- Other info: Opportunity to present findings to senior leadership and collaborate with diverse teams.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a passionate and highly motivated Senior Data Strategy Analyst to join the EMEA Data Strategy team. The Data Strategy team is responsible for developing end-to-end data and technology capabilities to enable first-in-class customer-centric marketing. Reporting to the Senior Data Strategy Manager, the successful candidate will be responsible for discovering insights from large data sets and supporting data-driven decisions to improve products, services, and relevance to consumers.
Responsibilities
- Develop a comprehensive understanding of our data landscape, customer journeys, marketing experiences, and predictive model usage across our Marketing and Clienteling activities.
- Lead analysis of our BAU Marketing and Clienteling experience to help our CIX team optimize effectively.
- Own deep dive analyses across our Marketing and Clienteling experiences, and present complex insights through creative storytelling to the CIX team.
- Lead CRM test design and post-campaign analyses to clearly communicate learnings and recommendations to senior stakeholders.
- Present analyses to senior leadership and large audiences in a clear and concise manner.
- Utilize understanding of existing predictive models to optimize customer experiences across the EMEA region and develop models for better engagement, retention, and sales.
- Create visualizations to highlight clear trends and correlations using BI tools like Tableau.
- Collaborate with internal and external stakeholders to drive data-led business decisions.
Experience, Skills & Knowledge
- Relevant experience in Data Strategy, CRM, Data Science, or related educational qualifications (e.g., Mathematics, Engineering, Statistics, Marketing).
- Experience in collating, interpreting, and analyzing data from multiple sources (SQL databases, APIs, web scraping) and data types.
- Highly numerate and analytical with strong communication skills.
- Experience manipulating data through advanced quantitative methods: data models, statistics, machine learning.
- Experience presenting insights to non-technical stakeholders.
- Excellent planning, organizational skills, drive for results, problem-solving, and action orientation.
- Team player with strong interpersonal and communication skills (verbal and written).
- Quick learner with an interest in discovering new technical tools and spotting data inconsistencies.
Senior Analyst, Data Strategy employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analyst, Data Strategy
✨Tip Number 1
Familiarise yourself with the latest trends in data strategy and analytics. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion for the field.
✨Tip Number 2
Network with professionals in the data strategy space, especially those who work in EMEA. Attend industry events or webinars where you can connect with potential colleagues and learn more about the company culture at StudySmarter.
✨Tip Number 3
Brush up on your presentation skills, as you'll need to communicate complex insights clearly. Consider practising with friends or using online platforms to refine your storytelling abilities, making sure you can convey your analyses effectively.
✨Tip Number 4
Get hands-on experience with BI tools like Tableau if you haven't already. Create sample visualisations that demonstrate your ability to highlight trends and correlations, as this practical knowledge will set you apart from other candidates.
We think you need these skills to ace Senior Analyst, Data Strategy
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Strategy Analyst position. Tailor your application to highlight relevant experiences that align with the job description.
Craft a Tailored CV: Your CV should reflect your experience in Data Strategy, CRM, and Data Science. Emphasise your analytical skills and any relevant projects or roles where you've used data to drive decisions. Use quantifiable achievements to demonstrate your impact.
Write a Compelling Cover Letter: In your cover letter, express your passion for data strategy and how your background makes you a great fit for the role. Mention specific experiences that relate to the responsibilities outlined in the job description, such as presenting insights or collaborating with stakeholders.
Showcase Your Analytical Skills: If possible, include examples of your work with data visualisation tools like Tableau or any predictive models you've developed. This will help demonstrate your technical capabilities and your ability to communicate complex insights effectively.
How to prepare for a job interview at TN United Kingdom
✨Understand the Data Landscape
Before the interview, make sure you have a solid grasp of the company's data landscape and customer journeys. Familiarise yourself with their marketing strategies and how data plays a role in optimising these experiences.
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis and manipulation. Highlight specific projects where you've used SQL, BI tools like Tableau, or advanced quantitative methods to derive insights and drive decisions.
✨Communicate Complex Insights Clearly
Practice presenting complex data insights in a clear and concise manner. Use storytelling techniques to make your analyses relatable, especially when discussing them with non-technical stakeholders.
✨Demonstrate Collaboration Skills
Emphasise your ability to work collaboratively with both internal and external stakeholders. Share examples of how you've successfully driven data-led business decisions through teamwork and effective communication.
