Data Analyst – Business & Marketing Analytics @ RTB House
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Job Details
About RTB House
RTB House is a next-generation performance demand-side platform (DSP) using proprietary Deep Learning AI algorithms to help brands grow. Founded in 2012 and operating in 90+ markets, the company is a market leader in driving performance over the entire purchase funnel.
Team & Location
The DACH team consists of over 40 professionals and operates within a remote-first framework. Applicants should note that the role is based in Germany.
Job Responsibilities
- Develop and maintain forecasting models for sales and account management.
- Deliver actionable insights through campaign analytics and strategic consultancy.
- Create and automate recurring reports such as KPIs and inventory analysis.
- Collaborate with the Traffic Team for optimal campaign delivery.
- Partner with Marketing to translate trends into compelling storytelling.
- Use data visualization tools to simplify complex datasets for stakeholders.
- Support sales by analyzing deal potential and prioritizing opportunities.
Desired Experience
Candidates should have experience in online marketing, digital advertising metrics, statistical methods, data analysis techniques, and proficiency in SQL and BI tools (e.g., Looker Studio). Familiarity with Python and BigQuery is a plus. Excellent communication skills and business fluency in English are required; German is a plus.
What We Offer
- Flexible working arrangements: remote, office, or international locations.
- Top-of-the-market compensation with attractive bonus schemes.
- 28-30 vacation days, monthly Pluxee allowances, and robust onboarding.
- An international team environment with a personalized development plan.
- Regular in-person team activities and structured career growth support.
Key skills/competency
Data Analysis, Forecasting, SQL, BI, Automation, Campaign Analytics, Digital Marketing, Reporting, Data Visualization, Statistical Methods
How to Get Hired at RTB House
🎯 Tips for Getting Hired
- Research RTB House's culture: Study their mission, values, and recent news.
- Customize your resume: Tailor skills in SQL, BI, and analytics.
- Showcase data projects: Highlight forecasting and reporting experience.
- Prepare for interviews: Review digital marketing and statistical methods.