Junior MarTech Consultant (m/w/d) im Online-Marketing in Berlin

What's going on at our company

Marketing data is becoming more complex and simultaneously more important for business decisions. Cookieless, AI Overviews, Predictive Analytics, KI-gestützte Auswertungen, because the old tracking work no longer.

We've been doing this for a while now. We advise our clients on data strategy, KI-gestützten Auswertungen, and marketing analytics in ongoing projects and in the acquisition process.

You'll grow into responsibility for the MarTech area and develop it further with us.

Tasks

What you'll be doing here

• In the first few months, you'll work on specific topics from ongoing customer projects: Dashboards, KPI-Frameworks, Tracking-Audits. As time goes on, you'll take over responsibility for the entire MarTech area of the search engine :Tracking, Analytics, Predictive Marketing, and KI-gestützte Auswertungen
• You'll deliver to our specialist teams (PM, SEO/GEO, SEA, Social). Your own clients with a MarTech focus will be taken over by you if you're ready for that (typically in the course of the first 12 months)
• You'll develop the area further. Methods, standards, tools, and templates are built together
• We'll work out strategic direction together, methodology, and implementation - you'll be responsible for it
• Predictive Marketing, Marketing Mix Modelling, KI-gestützte Analyse: these fields will open up to you with our sparring

How we work

• The position sits directly with the management. Sparring is conceptual, not operational. Methodology and implementation are your responsibility!
• KI is a fixed component of our work, not a self-goal
• We measure you by the impact of your work, not by hours
• No acquisition, no cold sales quotas. But: Whoever takes over the area also communicates with clients
• We have no elbow culture. What you can't do, we'll discuss it with you and find a way together

How the job looks like in detail

• You start with specific topics from ongoing customer projects: Audits, Dashboard-Aufbau, KPI-Frameworks
• You'll build your own methodological basis and knowledge database parallelly
• In the course of the first 12 months, you'll take over your own clients with a MarTech focus
• Not every hypothesis works. What's decisive is how you handle it

Qualification

• Studies in a MINT field (Mathematics, Statistics, Informatics, Physics, Business Mathematics) or a demonstrated autodidactic deepening in these areas
• First practical experience with GA4, SQL, Python, data visualization, or statistical evaluations
• Drive: You shape an area instead of just following someone else's guidelines
• Autodidactism: You work out new topics from documentation, code, forums, and self-evidently with KI support. Conceptual pointers come from us, detail questions you'll solve yourself
• Reflective self-assessment: You recognize what you don't know and say it
• German language skills at least C1 level

Professional experience in online marketing is explicitly not a requirement.

What you've set up on your own initiative (like a GitHub repository, a contribution to a Kaggle competition, a pub quiz you organized yourself, a youth club you co-founded) we'll weigh equally like classic work stations.

What counts is the proof that you're taking something and pursuing it.

You don't have to be able to do everything. What's decisive is that you want to understand data and are willing to take the path, rather than having someone show you every step

Benefits

• Genuine area responsibility from day one
• Personal and professional development including internal and external further education
• Ergonomic workstations with electrically height-adjustable sit-stand desks and excellent technical equipment in the office as well as in home office
• Flat hierarchies and inclusion in decision-making processes
• A balanced work-life balance
• Flexible working hours (core working hours 10:00 am - 3:00 pm) and home office possibility
• Paid overtime, if it occurs at all
• Unlimited employment contract and transparent salary structure

After a two-month onboarding period, you'll be able to work mostly remotely, with at least five days per month in the office.

We look forward to your CV or your impressive Xing or LinkedIn profile including salary expectations.

By sending in your application, you declare that you agree with the data protection declaration of the search engine. The data protection declaration can be found on our website under job postings.

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