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Product Data Analyst

Remote: 
Full Remote
Contract: 
Part time
Experience: 
Mid-level (2-5 years)
Work from: 
Kazakhstan

Offer summary

Qualifications:

3-5 years of experience in data analytics, Expertise in SQL and Python, Bachelor’s or Master degree in Data Science, Statistics, or Economics, Familiarity with A/B testing frameworks.

Key responsabilities:

  • Conduct deep-dive analysis into product performance
  • Collaborate with product teams to define KPIs and develop reports
AUTODOC logo
AUTODOC Large https://autodoc.group/en/career
5001 - 10000 Employees
About AUTODOC
We make mobility easy & sustainable. AUTODOC was founded in 2008 in Berlin and we are now a leading online retailer for vehicle spare parts and accessories. in Europe. We are a growing profitable technology company active in 27 countries with a highly diverse team of over 5 000 people from 50 countries where things are going fast forward! We are transforming and looking for innovative, tech-driven, and agile talents to join us across Europe. It is important for us that our people feel a sense of impact, purpose and belonging within our organization - whether they work in an office space, in one of our warehouses or remotely. With our headquarters in Berlin- Germany, we also have several offices across Europe. Catch the ride! https://autodoc.group/en/about-us https://autodoc.group/en/facts-and-figures https://autodoc.group/en/news-room https://autodoc.group/en/career Legal notice: https://bit.ly/3LHWIg1
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Job description

Company Description

AUTODOC is the largest and fastest growing auto parts ecommerce platform in Europe.
Present across 27 countries with around 5,000 employees, AUTODOC generated revenue of over €1.3 billion in 2023, supplying more than 7.4 million active customers with its 5.8 million vehicle parts and accessories for car, truck, and motorcycle brands.

Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

Job Description

Join AUTODOC as a Product Data Analyst for Private Brands and play a pivotal role in shaping and steering our product strategy through insightful data analysis and experimentation.

In this role you will be responsible for creating and managing comprehensive reports and self-serving tools, conducting in-depth analysis of market trends and user behavior, and delivering statistical insights that highlight the impact of our product initiatives in the business. 

Responsibilities
  • Conduct deep-dive analysis into product performance, customer behavior and market trends to identify opportunities for product enhancement and innovation.
  • Collaborate with product teams to define key performance indicators (KPI) and develop dashboards and reports that track product success and inform strategic decisions.
  • Utilize advanced analytics and predictive modeling to forecast demand, customer preferences and provide support to business case development for product roadmap.
  • Engage in cross-functional projects to ensure that data insights are integrated into product development and customer experience strategies.
  • Collaborate with data engineering and data science teams to continuously refine data collection, transformation and analysis methods to improve accuracy, quality, efficiency, and governance.
  • Design, guide, execute and analyze experiments to test hypotheses related to product enhancements and customer experience improvements.

Job Requirements
  • 3 - 5 years of experience in data analytics or related fields, preference for experience with product analytics.
  • 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.
  • Bachelor’s or Master degree in Data Science, Statistics, Economics or a related field with strong quantitative foundation.
  • English B2

What do we offer?
  • Competitive salaries based on your professional experience
  • Fast growing international company with stable employment
  • Annual vacation of 24 days and 1 additional day off on your birthday
  • Monthly Allowance for cover the costs of medical insurance expenses
  • Mental Wellbeing Program – the opportunity for free psychological counseling for you and your family members 24/7 hotline and online sessions
  • 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

Join us today and let’s create a success story together!

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Product AnalyticsPython (Programming Language)SQL (Programming Language)Data AnalysisA/B TestingPredictive ModelingDashboardE-CommerceStatistical SoftwareBusiness Intelligence Tools

Other Skills

  • Collaboration
  • Communication
  • Problem Solving
Are you interested?

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