Match score not available

Product Data Analyst

Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5+ years experience in data analytics or related field, Bachelor’s or Master degree in Data Science, Statistics, Economics or related field.

Key responsabilities:

  • Analyze product performance, customer behavior and market trends
  • Collaborate with product teams to define KPIs and develop reports
  • Forecast demand, customer preferences and support for product roadmap
  • Integrate data insights into product development and customer experience strategies
  • Design, execute and analyze experiments for product enhancements
AUTODOC logo
AUTODOC Large https://autodoc.group/
5001 - 10000 Employees
See more AUTODOC offers

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

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.

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.


 

What do we offer?
  • Competitive salaries based on your professional experience

  • Fast growing international company with stable employment

  • Annual vacation and 1 additional day off on your birthday

  • 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 - Flexible working hours and hybrid work

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

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills
  • Analytical Thinking

Data Analyst Related jobs