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Pricing Analyst, Product Operations (Global Pricing)

Delivery Hero

Berlin, Germany · Tempo total

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Experiência
3+ anos
Salário
Vagas
1
Publicado
há 2 horas
Modo de trabalho
No escritório
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About Delivery Hero

Delivery Hero is a global leader in local delivery, operating in around 65 countries with technology-driven solutions. Based in Berlin and listed on the Frankfurt Stock Exchange since 2017 as part of the MDAX index, we focus on fast, seamless delivery that delights customers worldwide.

Role Overview

We are seeking a Pricing Analyst, Product Operations in the Global Pricing Team. This role lies at the crossroads of Product and Business, tasked with optimizing pricing strategies that balance customer affordability with the company's sustainable unit economics. You will manage the specification, testing, launch, and ongoing operation of pricing features such as Small Order Fees, Service Fees, and Delivery Fee tiers while providing insights for global scaling.

Key Responsibilities

  • Develop predictive models to estimate the impact of new pricing features on essential business metrics prior to implementation.
  • Lead testing and rollout analysis of pricing features, ensuring stakeholder adoption and comparing actual versus forecasted impacts.
  • Collaborate strategically with Global Marketing and Regional Operations to translate business goals into prioritised product requirements.
  • Maintain daily oversight of pricing product operations, including monitoring global fee structures and supporting users with pricing strategy setup.
  • Create engaging and accessible data visualizations using Tableau and BigQuery, managing consolidated revenue trackers for pricing initiatives.
  • Manage the data catalog for pricing metrics and KPIs in cooperation with Data Engineering and Product to guarantee accurate, scalable experiment data and subsidies logging.

Required Qualifications

  • Minimum three years’ experience as a Product or Pricing Analyst in fast-paced e-commerce or marketplace sectors.
  • Expert proficiency in BigQuery and SQL, with Python skills for building modeling pipelines and familiarity with GitHub.
  • Strong statistical knowledge focused on A/B testing and price elasticity modeling.
  • Comprehensive understanding of unit economics such as CAC, LTV, GPO, and contribution margin, with ability to quantify pricing impact on business outcomes.
  • Fluency in English and capability to translate complex data into accessible narratives for non-technical teams.
  • Experience managing data pipelines using Airflow and familiarity with Google Analytics or Amplitude for funnel analysis.

Additional Information

  • Hybrid work model with two days onsite at our Berlin campus per week.
  • 27 days annual leave with increments in year 2 and 3.
  • Professional development support including €1,000 education budget, language courses, parental support, and Udemy access.
  • Health and fitness benefits including health checkups, meditation sessions, gym and bicycle subsidies.
  • Financial perks include employee share purchase plans, sabbatical banks, public transport discounts, life and accident insurance, and corporate pension plans.
  • Meal benefits such as digital meal and food vouchers, plus corporate discounts.
  • Support for relocation to Berlin is available through relocation guidance and resources.
  • Diversity and inclusion are core values; applications from all backgrounds encouraged. Accommodations for accessibility needs during interviews can be requested.
  • Preference given to candidates with severe disabilities with equal qualifications.
  • Applicants are welcome to share their pronouns to promote respectful communication.

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