At a Glance
- Tasks: Transform data into impactful business insights and support client campaigns with analytics.
- Company: Join a leading digital media solutions company focused on data-driven strategies.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with diverse teams and exciting projects.
- Why this job: Make a real difference by shaping business decisions through big data analytics.
- Qualifications: 3-5 years in analytics, strong statistical skills, and experience with SQL or Python.
The predicted salary is between 45000 - 55000 € per year.
Requirements
- Degree preferred to be in an analytical discipline (social sciences, applied mathematics, statistics, economics, and advertising measurement)
- Agency or client-facing experience
- Knowledge of online advertising delivery systems and online advertising methods, including remarketing and behavioural targeting
- Experience building, validating, and interpreting Marketing Mix Models (MMMs)
- Strong statistical literacy, understanding Randomised Control Trials, model uncertainty, confidence intervals
- SQL or other database programming skills (Python, R)
- Tableau or other Business Intelligence/Data Visualization platform
- 3-5 years of proven experience
- You are comfortable with client-facing interaction and explaining technical/analytical findings in a non-technical way (translating “database-ese” to layman’s terms)
- You’re curious about data and digging into problems – you don’t just DO, you ask WHY?
- You enjoy educating others and are comfortable with improvisation and creative problem solving
- You are a detail-oriented master multitasker and can juggle several projects at once
- You can interact with many different personality types and can hold your own in spirited debates
What the job involves
- Our Analytics team transforms our unique data to impact business. Whether it’s driving insights from cutting-edge tools or building the queries yourself, you can show your capabilities to shape big business decisions with big data analytics.
- As a Senior Accounts Analytics Analyst, you’ll be responsible for the analytics work across a variety of Epsilon clients and products serviced by the Epsilon Digital Media Solutions division.
- You’ll help support the data driven strategy to grow both client and Epsilon business by evaluating client campaigns for effectiveness, mining extensive online and offline data sets to develop insights on media and consumer behaviour and drive measurable business outcomes.
- You’ll closely collaborate with several internal teams from Sales, Account Management, Client Integration, Media Delivery to Product with the goal of developing and supporting the client’s data-driven digital media strategy.
- Responsible for account 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 marketers in the optimization and analytics of campaign success.
- Help ensure Epsilon’s impact is represented accurately in Marketing Mix Model (MMMs), working with clients and vendors to build strong working relationships and best practice knowledge sharing.
- Hands-on data manipulation and custom analysis to drive client insights and strategy.
- Train and coach colleagues on the proper interpretation and communication of analysis findings.
Senior Account Analytics Analyst in London employer: Deepstreamtech
Epsilon is an exceptional employer that fosters a collaborative and innovative work culture, where data-driven insights shape impactful business decisions. With a strong emphasis on employee growth, we offer extensive training opportunities and encourage creative problem-solving, making it an ideal environment for those passionate about analytics. Located in a vibrant area, our team enjoys a dynamic atmosphere that promotes both professional development and meaningful client interactions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Account Analytics Analyst in London
✨Tip Number 1
Get your networking game on! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on a job opening or can put in a good word for you.
✨Tip Number 2
Practice your pitch! Be ready to explain your analytical skills and experiences in a way that’s easy to understand. Think of it as translating your 'database-ese' into something relatable – this will help you shine in interviews.
✨Tip Number 3
Show off your curiosity! When discussing your past projects, highlight how you dug deep into data and asked the right questions. Employers love candidates who don’t just accept the status quo but are eager to explore and innovate.
✨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 Senior Account Analytics Analyst in London
Some tips for your application 🫡
Show Off Your Analytical Skills:Make sure to highlight your degree and any relevant experience in analytical disciplines. We want to see how your background in social sciences, statistics, or economics can bring value to our team!
Speak Our Language:When writing your application, use clear and straightforward language. Remember, we love candidates who can translate complex data findings into simple terms, so don’t hesitate to showcase your ability to communicate effectively!
Demonstrate Your Curiosity:We’re looking for someone who doesn’t just crunch numbers but also asks the right questions. Share examples of how you’ve dug deep into data problems and what insights you uncovered – we love a curious mind!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Deepstreamtech
✨Know Your Numbers
Brush up on your statistical knowledge, especially around Randomised Control Trials and confidence intervals. Be ready to discuss how you've applied these concepts in past roles, as this will show your analytical prowess and understanding of model uncertainty.
✨Speak Their Language
Prepare to explain complex analytical findings in simple terms. Practice translating 'database-ese' into layman’s language, as this is crucial for client-facing interactions. Think of examples where you’ve successfully communicated technical details to non-technical stakeholders.
✨Show Your Curiosity
Demonstrate your inquisitive nature by asking insightful questions about the company’s data strategies and challenges. This not only shows your interest but also aligns with their need for someone who digs into problems and asks 'why?'
✨Multitasking Mastery
Be prepared to discuss how you manage multiple projects simultaneously. Share specific examples of how you prioritise tasks and maintain attention to detail, as this role requires juggling various analytics work across different clients.
