At a Glance
- Tasks: Lead analytics delivery and transform data into impactful business insights.
- Company: Join a dynamic team at Epsilon, a leader in data-driven strategies.
- Benefits: Competitive salary, professional development, and collaborative work environment.
- Other info: Opportunity to mentor others and grow within a fast-paced industry.
- Why this job: Shape big business decisions with your analytical skills and make a real impact.
- Qualifications: Experience in analytics, Python programming, and client-facing roles preferred.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- Degree or equivalent experience preferred to be in an analytical field (social sciences, applied mathematics, statistics, economics, and advertising measurement)
- Agency or client-facing experience
- Analytical skills to extract, interrogate, and analyse large datasets
- Extensive knowledge of direct mail data applications
- Extensive experience with Python and strong understanding of Python programming and procedures
- Experience with databases comprised of data from multiple sources
- Familiarity with RFM segmentation
- 3-5 years of relevant industry experience (Desirable)
- You are comfortable with client-facing interaction and explaining technical/analytical findings in a non-technical way (translating “database-ese” to simple terms) (Desirable)
- You’re curious about data and digging into problems – you don’t just DO, you ask WHY? (Desirable)
- You enjoy educating others and become comfortable with improvisation and creative problem solving (Desirable)
- You are a diligent master multitasker and can juggle several projects at once (Desirable)
- You can interact with many different personality types and can hold your own in spirited debates
What the job involves
- Our Data team transforms our unique data to impact business. Whether it’s driving insights from pioneering tools or building the queries yourself, you can show your capabilities to shape big business decisions with big data analytics.
- As a Lead Data Strategy Consultant, you will lead analytics delivery across a range of Epsilon clients and products within the Data division.
- You will support data-driven growth by assessing campaign performance and analysing online and offline transactional data to generate insights into consumer behaviour and deliver measurable business impact.
- You’ll closely collaborate with several internal teams from Sales, Account Management, and Operations with the goal of developing and supporting the client’s data-driven direct mail strategy.
- Responsible for management of analytics work across a variety of Epsilon clients and products.
- This role enables the data driven strategy to grow both client and Epsilon business.
- Work to provide actionable insight to Epsilon clients in the optimization of campaign success.
- Build strong working relationships with clients, and develop procedure knowledge sharing.
- Hands-on data manipulation and custom analysis to drive client insights and strategy.
- Train and mentor colleagues on the accurate interpretation and communication of analysis findings.
Lead Data Strategy Consultant in London employer: Deepstreamtech
As a Lead Data Strategy Consultant at Epsilon, you will thrive in a dynamic work culture that champions innovation and collaboration. Our commitment to employee growth is evident through continuous training opportunities and mentorship, ensuring you can advance your career while making a meaningful impact on client strategies. Located in a vibrant area, we offer a unique blend of professional development and a supportive environment that values curiosity and creativity in problem-solving.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Strategy Consultant in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, especially those involving Python and data manipulation. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising how to explain complex data concepts in simple terms. Remember, you’ll need to translate 'database-ese' for clients, so being able to communicate clearly is key. Role-play with friends or use mock interviews to sharpen your skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people in our team.
We think you need these skills to ace Lead Data Strategy Consultant in London
Some tips for your application 🫡
Show Off Your Analytical Skills:Make sure to highlight your analytical background in your application. We want to see how you've tackled large datasets and what insights you've drawn from them. Don't just list your skills; give us examples of how you've used them in real-world scenarios!
Keep It Client-Focused:Since this role involves client interaction, it's crucial to demonstrate your ability to communicate complex data findings in simple terms. Share experiences where you've successfully explained technical concepts to non-technical audiences. We love seeing how you can bridge that gap!
Be Curious and Problem-Solving:We value curiosity and a problem-solving mindset. In your application, let us know about times when you’ve dug deep into data to uncover insights or solve issues. Show us that you don’t just accept the status quo but are always asking 'why?'
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets relevant to the role. Brush up on your analytical skills and be ready to discuss how you've extracted and analysed large datasets in the past. Be prepared to share specific examples of how your insights have driven business decisions.
✨Master Python and RFM Segmentation
Since extensive experience with Python is a must, ensure you can demonstrate your programming skills during the interview. You might even be asked to solve a problem on the spot! Also, familiarise yourself with RFM segmentation concepts so you can explain them clearly and confidently.
✨Communicate Like a Pro
You’ll need to translate complex data findings into simple terms for clients. Practice explaining technical concepts in layman's terms. Think about how you would describe your previous projects to someone without a technical background – clarity is key!
✨Show Your Curiosity and Problem-Solving Skills
Demonstrate your curiosity about data by asking insightful questions during the interview. Share examples of when you’ve dug deeper into a problem rather than just accepting the surface-level answer. This will show that you’re not just a doer but a thinker who enjoys tackling challenges.
