At a Glance
- Tasks: Transform raw data into insights, optimise metrics, and support strategic decisions.
- Company: Mrge is a dynamic platform connecting publishers and advertisers globally.
- Benefits: Enjoy flexible hours, 30 vacation days, and a prepaid spending card.
- Other info: All applicants are encouraged to apply, regardless of meeting 100% of requirements.
- Why this job: Be part of a young, ambitious team shaping an innovative corporate group.
- Qualifications: 2+ years in data analysis, advanced SQL, and proficiency in Python required.
The predicted salary is between 36000 - 60000 £ per year.
Looking for an exciting challenge?
Mrge is an intelligent platform for commerce advertising, connecting over 5,500 publishers and 55,000 advertisers across 160+ countries. It integrates advanced tools and technologies to bring ads closer to content, creating value for publishers, advertisers, and users. The company combines five leading entities: digidip (premium publishers), MaxBounty (direct partnerships), shopping24 (product recommendations), SourceKnowledge (CPC platform), and Yieldkit (high reach and performance). This collaborative approach enhances advertising effectiveness across various channels and markets.
We’re looking for a talented and detail-oriented Data Analyst to join our growing team at mrge. In this role, you’ll be instrumental in transforming raw data into meaningful insights that inform strategic decisions and enhance customer outcomes. Working closely with engineering, product, and business teams, you’ll refine key data models, develop impactful analyses, and help embed a data-driven culture across the organization.
Your Tasks:
- Collaborate with engineering and product teams to monitor, maintain, and optimize business metrics, proactively identifying areas for improvement.
- Design and deliver clear, concise reports and dashboards that support strategic planning and performance tracking.
- Support the development of forecasting, optimization, and predictive models to inform product and business decisions.
- Translate business needs into analytical solutions through close stakeholder collaboration.
- Provide strategic insights based on emerging trends and in-depth data analysis.
- Contribute to the evolution of our data processes, tooling, and culture as we scale.
Your Profile:
- 2+ years of experience in data analysis, data science, or analytics engineering.
- Advanced SQL skills and strong experience with OLAP databases such as Snowflake, BigQuery, or ClickHouse.
- Proficiency in Python for data analysis, including libraries such as Pandas, NumPy, and Jupyter.
- Experience with data visualization tools like Tableau, Power BI, or Looker.
- Strong foundation in either linear optimization techniques or machine learning for predictive analytics.
- Proven ability to turn complex datasets into clear, actionable insights for both technical and non-technical audiences.
- Sharp problem-solving skills and an intuitive understanding of how systems behave in the real world.
- Self-starter with the ability to take ownership and thrive in a fast-paced, dynamic environment.
- Familiarity with data engineering concepts and workflows is a plus.
Your Opportunity:
- Take an active role in shaping an innovative, growth-orientated international corporate group from its early stages; seize the opportunity to become irreplaceable!
- Take on responsibility as you become an important part of a young, ambitious, and friendly team with a shared desire to develop its skills.
- Enjoy opportunities to work independently, with flexible hours and hybrid remote/office working options.
- Enjoy top-notch employee benefits: 30 paid vacation days, the latest tech, individual development plan, prepaid spending card (50€ monthly budget) and much more
- Take your skills, talents, and career to the next level as you grow with us.
Have we convinced you? Then we can’t wait to read your application!
All our employees have equal career opportunities at mrge, regardless of gender, origin, ethnicity, religion, sexual orientation, age, or other personal attributes.
Candidates will be considered and selected equally based on their skills, qualification, and the needs of the company.
We know that experience and skills are matters of development and gain while working.
Therefore, we encourage you to apply even if your profile does not meet 100% of the requirements for this position.
Apply for this job
About us
A global champion for Commerce Advertising with the vibrant energy of a start-up? A high-tech platform that’s fun to work with – for both employees and clients? A multi-location based company with flat hierarchies, run by an international, multilingual team? Yes, that’s us! At mrge, we connect publishers, advertisers, smart tools and formats to drive additional revenue. Now we are excited about connecting with you.
Are you ready to grow? Then join us on our mission to expand mrge and its entities digidip, shopping24 and Yieldkit through fresh ideas, great talent and true commitment. We’re looking forward to getting to know you!
Senior Customer Success Manager - mrge Group GmbH in London employer: mrge Group GmbH
At mrge Group GmbH, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. With flexible working hours, hybrid remote options, and a commitment to employee growth through individual development plans, we empower our team members to thrive in their careers. Our generous benefits package, including 30 paid vacation days and a prepaid spending card, reflects our dedication to the well-being of our employees as we collectively drive innovation in commerce advertising.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Customer Success Manager - mrge Group GmbH in London
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Python, and data visualisation tools like Tableau or Power BI. Being able to discuss your experience with these tools in detail during an interview will demonstrate your readiness for the role.
✨Tip Number 2
Research mrge Group GmbH and its entities thoroughly. Understanding their business model and how they integrate advanced tools for commerce advertising will allow you to tailor your discussions and show genuine interest in contributing to their mission.
✨Tip Number 3
Prepare examples of how you've turned complex datasets into actionable insights in your previous roles. This will help you illustrate your problem-solving skills and ability to communicate effectively with both technical and non-technical audiences.
✨Tip Number 4
Network with current or former employees of mrge on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which you can leverage during your application process.
We think you need these skills to ace Senior Customer Success Manager - mrge Group GmbH in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data analysis, SQL, and Python. Use specific examples that demonstrate your ability to turn complex datasets into actionable insights, as this is crucial for the role.
Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for the position at mrge Group GmbH. Mention how your skills align with their needs, particularly in data analysis and collaboration with engineering and product teams.
Showcase Your Technical Skills:Clearly outline your proficiency in SQL, Python, and data visualisation tools like Tableau or Power BI. Provide examples of projects where you used these skills to achieve significant results.
Highlight Problem-Solving Abilities:Emphasise your sharp problem-solving skills and your understanding of real-world systems. Include specific instances where you've identified areas for improvement and implemented effective solutions.
How to prepare for a job interview at mrge Group GmbH
✨Showcase Your Data Skills
Make sure to highlight your experience with SQL and data analysis tools during the interview. Be prepared to discuss specific projects where you transformed raw data into actionable insights, as this will demonstrate your ability to meet the company's needs.
✨Understand the Company’s Products
Familiarise yourself with mrge's platform and its various components. Understanding how digidip, MaxBounty, shopping24, SourceKnowledge, and Yieldkit work together will help you articulate how your skills can contribute to their success.
✨Prepare for Technical Questions
Expect technical questions related to data analysis, predictive modelling, and visualisation tools. Brush up on your knowledge of Python libraries like Pandas and NumPy, and be ready to explain how you've used them in past roles.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss specific challenges you've faced in previous roles and how you approached solving them. This will showcase your sharp problem-solving skills and your intuitive understanding of real-world systems, which are crucial for the role.
