3 дня назад
Revenue Operations Analyst (Data Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Revenue Operations Analyst (Data Analytics): Improving data usage across marketing, sales, customer success, product, and billing with an accent on defining metrics and investigating performance patterns. Focus on bridging the gap between raw data and business decisions through data modeling, automations, and critical analysis.
Location: Remote (Germany)
Company
is a company specializing in professional data services and revenue operations optimization.
What you will do
- Analyze the customer journey from acquisition and conversion to retention and revenue.
- Define and maintain consistent business metrics across marketing, sales, customer success, product, and finance.
- Extract, combine, clean, and validate data from operational and analytical systems.
- Investigate causes of performance changes in funnels, conversion rates, and revenue.
- Develop and test hypotheses against available data to provide a clear basis for business decisions.
- Implement data models, dashboards, and automations to remove manual work and improve reliability.
Requirements
- Must be based in Germany.
- Strong analytical skills and a structured approach to problem-solving.
- General programming knowledge (SQL, Python, JavaScript, or APIs).
- Basic understanding of statistics, including the difference between correlation and causation.
- Ability to critically evaluate and utilize AI assistants for research, coding, and documentation.
- Ability to explain complex findings in clear, actionable language.
Culture & Benefits
- Environment where mistakes are viewed as valuable learning opportunities.
- High level of personal growth, ownership, and professional accountability.
- Direct and timely feedback to support continuous improvement.
- Team events, summer parties, and Christmas celebrations.
- Corporate benefits, bike leasing program, and a dog-friendly workplace.
- Focus on quality and business impact rather than fixed hours or permanent availability.
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