Jobs in Germany

  • Munich

    Salary Icon 55.000 - 70.000 €
  • Hopmann Marketing Analytics GmbH is a boutique consultancy specializing in digital analytics, data engineering, data science, and data visualization, based in Munich-Neuhausen. With our enthusiasm and determination, we support well-known clients from the telecommunications, automotive, IT, medical, and retail sectors in analyzing their marketing and corporate data, working with them to develop action-oriented solutions that facilitate data-driven decisions.

    Our passion is data, and we aim to make it accessible to everyone through meaningful visualizations, ad hoc reports, and sophisticated analyses.

    We are seeking a proactive (Senior) Marketing Science Consultant to understand and communicate our company's vision, seamlessly integrate it into daily operations, and focus on the continuous development and success of the data engineering team in achieving strategic goals. The salary range is 55.000-70.000€, depending on skills, qualifications and experience.

    Tasks

    • You consult with clients to gather, understand, and analyze their unique requirements and business objectives, defining use cases and developing technical solutions that align with their strategic goals.
    • You design and implement or enhance measurement frameworks to assess marketing performance and enable data-driven decision-making.
    • You plan, implement, and analyze incrementality tests to measure the impact of marketing efforts and provide recommendations to maximize marketing strategies.
    • You lead, plan, execute, and deliver complex data projects, ensuring they meet timelines, budget constraints, and quality standards.
    • You provide technical, professional, and personal support to your team members.
    • You cooperate closely with your colleagues from the Data Visualization, Digital Analytics, and Data Science teams to develop innovative solutions.
    • You create impactful presentations and deliver insightful training sessions and workshops for both clients and colleagues.

    Requirements

    • A degree from a university or technical college in Computer Science, Statistics, or a related field.
    • Several years of professional experience as a Data Engineer, Data Analyst, or Data Scientist within the marketing sector.
    • Hands-on experience in designing, implementing, and maintaining marketing measurement frameworks and controlled experiments.
    • Experience in building or working with attribution models, marketing mix models, and incrementality testing.
    • Strong proficiency in SQL and either Python or R.
    • Good project management skills, excellent analytical abilities, and strong communication skills.
    • Fluency in both German and English, both written and spoken.

    Benefits

    • Exciting and varied projects with renowned customers from various industries right from the start.
    • Personal responsibility and involvement in strategic development.
    • An open working atmosphere and flat hierarchies with competent colleagues.
    • Opportunities for further training and certifications, as well as participation in events and conferences.
    • Flexible working options, either hybrid or on-site, in our state-of-the-art offices in Munich or Schliersee.

    We are seeking a (Senior) Marketing Science Consultant (m/f/d) to join our team immediately.

    We are passionate, committed, and goal-oriented. We organize ourselves well, present confidently to our customers, and aim to drive the entire company forward as a team. Is working on complex data projects your strength? Do you inspire others with your ideas, and do you believe you would fit in well with us?

    We look forward to receiving your application, including your earliest start date and salary expectations. The salary range is €55,000-€70,000, depending on skills, qualifications, and experience.

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    Estimated Salary after Taxes *

    Salary Monthly Yearly
    55.000,00 € 2.913,83 € 34.966,00 €
    70.000,00 € 3.590,52 € 43.086,20 €

    Income Tax for 55.000 € in Germany →

    * Your estimated salary may change based on external factors, use our salary calculator

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