10 часов назад
Marketing Analytics Consultant (Marketing Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Marketing Analytics Consultant (Marketing Analytics): Turning customer and campaign data into scalable marketing solutions across Mail, Cloud, and Webhosting with an accent on CRM, personalization, segmentation, and measurable business impact. Focus on analyzing data with SQL, Tableau, or Python, translating stakeholder requirements, optimizing campaigns, and driving budget planning and forecasting.
Location: Karlsruhe or Munich, Germany; home office options and flexible working hours are available.
Company
operates GMX, WEB.DE, and mail.com, providing email, communication, cloud storage, news, and identity management services to more than 42 million active users.
What you will do
- Assess, challenge, and shape data-driven marketing use cases such as lifecycle campaigns, cross-channel retention, and personalization.
- Translate business requirements into scalable solutions across customer profile, CRM, and personalization systems.
- Advise Sales, CRM, and Product Management stakeholders on segmentation, campaign optimization, and data-driven decisions.
- Drive annual budget planning and monthly forecasting in collaboration with Controlling and business stakeholders.
- Analyze campaign and customer data using SQL, Tableau, BI platforms, Python, or similar tools to improve marketing performance.
Requirements
- Experience with data-driven marketing, CRM, analytics, or related business projects through professional work, internships, working student roles, or university projects.
- Practical experience with data and tools such as SQL, Tableau, BI platforms, or Python.
- Understanding of how data flows across systems.
- Ability to structure and communicate complex requirements as clear concepts, use cases, and recommendations.
- Strong analytical thinking, curiosity, proactive problem-solving, and cross-functional collaboration skills.
Culture & Benefits
- Flat hierarchies, respectful communication, and an inclusive workplace.
- Internal and external training, LinkedIn Learning, language courses, conferences, mentoring, and talent development programs.
- Home office options, flexible working hours, and 30 days of vacation with additional unpaid leave available.
- Health and family support programs, fitness discounts, mental health support, and free fruit and drinks.
- Job bike leasing and job ticket subsidies, company pension benefits, and partner discounts.
- Summer and winter parties, sports tournaments, and team events.
Hiring process
- Submit an application with salary expectations and reference number 367 through the online application form.
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