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 creativity.
- Qualifications: Experience in data analysis, Python programming, and client-facing roles.
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 employer: Deepstreamtech
At Epsilon, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Lead Data Strategy Consultant, you will not only have the opportunity to work with cutting-edge data analytics but also benefit from extensive professional development and mentorship programmes. Our commitment to employee growth, coupled with a dynamic team environment in a vibrant location, makes Epsilon a truly rewarding place to advance your career in data strategy.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Strategy Consultant
✨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, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s make some data magic happen!
We think you need these skills to ace Lead Data Strategy Consultant
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 a good story!
Be Curious and Problem-Solving:We’re looking for someone who doesn’t just accept data at face value but digs deeper. In your application, show us how you’ve approached problems with curiosity and creativity. Tell us about a time you asked 'why' and how that led to a breakthrough.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. 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 types of data you’ll be working with. Brush up on your knowledge of direct mail data applications and RFM segmentation. Being able to discuss how you’ve used these in past roles will show that you’re not just familiar, but truly knowledgeable.
✨Showcase Your Python Skills
Since extensive experience with Python is a must, prepare to discuss specific projects where you’ve used Python for data analysis. Bring examples of code or projects that demonstrate your programming prowess, and be ready to explain your thought process in simple terms.
✨Practice Explaining Complex Concepts Simply
You’ll need to translate technical findings into layman’s terms, so practice explaining your analytical work to someone without a technical background. This will help you convey your insights effectively during the interview and show that you can communicate with clients.
✨Demonstrate Your Curiosity and Problem-Solving Skills
Be prepared to discuss times when you’ve dug deep into data to uncover insights. Share examples of how you’ve asked 'why' to get to the root of a problem and how that curiosity has led to successful outcomes. This will highlight your analytical mindset and eagerness to learn.
