Senior Product Data Analyst

3 days ago

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Logo of AUTODOC

AUTODOC

e-commerce • online retail • automotive spare parts e-commerce • internet • online

5001 - 10000

Description

• Join AUTODOC as a Senior Product Data Analyst. • Play a pivotal role in shaping and steering product strategy through insightful data analysis and experimentation. • Create and manage comprehensive reports and self-serving tools. • Conduct in-depth analysis of market trends and user behavior. • Deliver statistical insights that highlight the impact of product initiatives in the business.

Requirements

• Minimum of 5 years of experience in data analytics or related fields, preference for experience with product analytics. • Bachelor’s or Master degree in Data Science, Statistics, Economics or a related field with strong quantitative foundation. • Expertise in analytical and statistical tools and languages (eg. SQL, Python) and familiarity with A/B testing and other experimentation frameworks. • Ability to translate complex data into actionable insights and to communicate these effectively across technical and non-technical audiences. • Comprehensive knowledge of e-commerce including and customer journey, shopping funnels and behavior analysis. • Proven experience designing and maintaining dashboards using leading BI tools. • Experience with ETL processes and orchestration is highly desirable. • Fluency in English, with excellent written and verbal communication skills.

Benefits

• Competitive salaries based on your professional experience • Meals Allowance • Fast growing international company with stable employment • Annual vacation of 22 working days and 1 additional day off on your birthday • Healthcare Insurance • Mental Wellbeing Program – the opportunity for free psychological counseling for you and your family members • 24/7 hotline and online sessions • AUTODOC Corporate Discount (1,080 Euros per annum) to order parts for their own use at special discounted rate • Retail discounts of up to 75% on travel, technology, fashion and much more • Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching • Free English and German language classes • Referral Program with attractive incentives • Flexible working hours and hybrid work

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