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Product Analyst

Jobgether

Remote · 정규직

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About the Role

This role is offered on behalf of a partner company seeking a Product Analyst located in Germany. The successful candidate will transform complex data related to products and user behaviors into insightful, actionable strategies that fuel business growth and enhance customer experience. Positioned at the nexus of analytics, product management, and strategic business decision-making, you will optimize product effectiveness on digital platforms through data-informed actions. Collaboration with diverse teams to assess new features, refine user journeys, and spot new avenues for engagement and revenue enhancement will be core to your role. This opportunity is ideal for someone eager to contribute significantly to product strategy within a rapidly evolving, fully remote work environment fostering innovation, accountability, and continuous skill development.

Key Responsibilities

  • Examine product metrics and user activity to discover trends, pinpoint opportunities, and identify improvement areas.
  • Establish, track, and optimize essential product KPIs like retention rates, conversion, lifetime value, revenue, and churn.
  • Develop and sustain dashboards and reporting tools to facilitate well-informed decisions across Product, Marketing, and Operations teams.
  • Perform comprehensive analyses of customer journeys, feature usage, promotional campaigns, and overall product effectiveness.
  • Collaborate with Product Managers to assess new product rollouts, enhancements, and A/B testing outcomes.
  • Detect points of friction within the user experience and propose data-supported enhancements.
  • Work closely with data teams to ensure analytical data integrity, consistency, and accessibility.
  • Convert complex data findings into straightforward, actionable advice suitable for both technical and business stakeholders.
  • Assist in customer segmentation, personalization efforts, and market research to boost user engagement and business results.

Candidate Requirements

  • Demonstrable experience as a Product Analyst, Data Analyst, or related analytical role within digital product domains.
  • Advanced skills in SQL with experience handling extensive datasets.
  • Practical experience using business intelligence software such as Tableau, Power BI, Looker, or similar platforms.
  • Strong grasp of product analytics concepts, customer behavior analysis, experimentation, and A/B testing approaches.
  • Exposure to event-driven analytics tools like Google Analytics 4, Amplitude, or Mixpanel is beneficial.
  • Understanding of digital product monetization strategies, customer lifecycle management, or analytics of online platforms is desirable.
  • Excellent analytical mindset, problem-solving skills, and meticulous attention to detail.
  • Effective communication skills to deliver clear insights to both technical experts and non-technical audiences.
  • Familiarity with Python or statistical software tools is a plus.
  • Self-driven, adaptable, and thriving in a cooperative remote work setting.

Benefits

  • A competitive salary package.
  • Opportunity to work fully remotely with no geographic restrictions.
  • Flexible working schedules to support personal work-life harmony.
  • 28 days of paid leave annually.
  • Three paid sick days without the requirement to provide a medical certificate.
  • Additional leave based on length of service within the company.
  • Birthday recognized as a paid day off.
  • Prospects for career progression and long-term professional development.
  • A diverse, collaborative international team with a supportive culture geared toward remote work.

Additional Information

This position involves application processing managed by our partner company, who will also handle subsequent hiring stages. We utilize AI-assisted screening to ensure fair, objective, and efficient evaluation of candidates relative to the essential role requirements. Final hiring decisions remain the sole prerogative of the partner company. Applicants are advised regarding personal data handling consistent with data protection regulations, including GDPR, and the involvement of AI tools in parts of the recruitment process, which support but do not substitute human judgment.

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