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- Tasks: Design and lead innovative data strategies for impactful analytical solutions.
- Company: Join a forward-thinking company that values creativity and collaboration.
- Benefits: Enjoy competitive pay, health benefits, generous time off, and learning opportunities.
- Why this job: Make a real difference by shaping data narratives and driving campaign success.
- Qualifications: 2+ years in data analytics with strong storytelling and communication skills.
- Other info: Dynamic team environment with mentorship and career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
What You’ll Do: You will assist in the design and lead innovative and effective strategies that drive analytical and accountable solutions powered by data science. You will build internal and client relationships by highlighting services and products through data strategy, and contribute to ideating, positioning and executing data narrative through internal and external communications. You will collaborate closely with Sciences, Analytics, Product, Marketing, Business and Media teams to support integrated communications across key narratives and content, while supporting OOH campaign measurement and attribution initiatives and helping ideate, design and execute data products that differentiate and tell Billups’ evolving technology story.
What You’ll Bring:
- 2+ years’ experience in a similar role with a strong data analytics foundation.
- Prior experience in media, advertising, AdTech, or brand direct required.
- Experience delivering the highest standards of client service levels with a growth mindset.
- Excellent ability to connect and synthesize information using audience insight, brand experience and measurement strategy.
- Strong storytelling, analytical, communication and presentation skills.
- Solid understanding of audience research, targeting, data visualization, market and media research techniques (qualitative and quantitative) and external data sources.
- Manage and mentor team members to develop technical skills and knowledge.
- Knowledge of statistical techniques and programming languages is a plus, but not required.
- Strong spreadsheet skills (Google Sheets, Microsoft Excel) and powerful presentation skills (PowerPoint, Keynote).
Total Rewards: Billups’ pay and benefits can vary by country, location, number of regularly scheduled hours worked, length of employment, and employment status. Well-being programs including medical, dental and vision benefits (varies by market). Generous 401(k) match program (USA) and pension schemes (global markets). Annual bonus plans. Generous holiday and paid time off. Learning & Development offerings for global employees. Paid maternity leave and paternity leave (varies by country). Local get-togethers and community team building.
Data Strategist - EMEA employer: billups
Contact Detail:
billups Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Strategist - EMEA
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, join online forums, and don’t be shy about reaching out on LinkedIn. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your data storytelling and analytical skills. Share examples of how you've used data to drive results in past roles – it’s all about showcasing your impact!
✨Tailor Your Approach
Every company is different, so do your homework! Understand Billups’ mission and values, and tailor your conversations to show how your experience aligns with their goals. This will help you stand out as a candidate who truly gets them.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the team at Billups.
We think you need these skills to ace Data Strategist - EMEA
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Strategist role. Highlight your experience in data analytics and any relevant projects that showcase your storytelling and analytical skills. We want to see how you connect the dots!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use examples from your past work to illustrate your strong communication and presentation abilities. We love seeing how you’ve used audience insights to drive results.
Be Authentic: Let your personality shine through in your application. We’re looking for someone with a growth mindset who can build relationships, so don’t be afraid to show us who you are and what makes you unique!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter team!
How to prepare for a job interview at billups
✨Know Your Data Inside Out
Make sure you brush up on your data analytics skills and be ready to discuss how you've used data to drive results in previous roles. Be prepared to share specific examples of how you've synthesised information and delivered insights that have made a difference.
✨Master the Art of Storytelling
Since storytelling is key for this role, think about how you can weave data into compelling narratives. Practice explaining complex data concepts in simple terms, and prepare to showcase your ability to connect audience insights with brand experiences during the interview.
✨Show Off Your Collaboration Skills
This position requires working closely with various teams, so be ready to discuss your experience collaborating across departments. Share examples of how you've successfully partnered with others to achieve common goals, especially in media or advertising contexts.
✨Prepare for Technical Questions
Even if statistical techniques and programming languages aren't required, having a basic understanding can set you apart. Brush up on relevant tools like Google Sheets and Excel, and be ready to demonstrate your spreadsheet skills or discuss any data visualisation projects you've worked on.
