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Senior Data Analyst

Roles & Responsibilities

  • 5+ years of experience in data, product analytics, data science, business intelligence, and e-commerce experience is a plus
  • University degree in Data Analytics, Data Science, Mathematics, Statistics, Finance, Economics, or a related field
  • Proficiency in SQL, Python/R, Power BI / Tableau, and other data analysis tools
  • Proficiency in statistical analysis methods, data modeling, hypothesis testing, and AB testing

Requirements:

  • Gather and understand business needs and objectives
  • Identify and interpret patterns, trends, insights, and business metrics from data
  • Create data-complex dashboards with an optimized data structure and scaling perspective
  • Partner with the Data Engineering team to define and build reliable data sources

Job description

Company Description

AUTODOC is Europe’s leading online retailer for car spare parts. As the fastest-growing company in this sector, AUTODOC is aiming to expand its position further.

Now we are represented in 27 other European countries in addition to Germany. AUTODOC pursues a strong customer focus on social media, through technical support in the respective national language and a demand-oriented product range currently comprising almost 2.5 million items from 545 brand manufacturers for 128 car brands.

Job Description

We are looking for a Senior Data Analyst to join our Category Management team, who will be responsible for identifying opportunities for growth and improvement, and gathering, analyzing, and interpreting data to help the organization to make better decisions.

Responsibilities

  • Gather and understand business needs and objectives.

  • Identify and interpret patterns, trends, insights, and business metrics from data

  • Create data-complex dashboards with an optimized data structure and scaling perspective

  • Assist in planning, forecasting, and AB testing processes.

  • Work with various product and business stakeholders to develop data-driven insights.

  • Partner with the Data Engineering team to define and build reliable data sources.

  • Identify new opportunities for the use of data across the company.

Requirements

  • 5+ years of experience in data, product analytics, data science, business intelligence, and e-commerce experience is a plus.

  • University degree in Data Analytics, Data Science, Mathematics, Statistics, Finance, Economics, or a related field.

  • Proficiency in SQL, Python/R, Power BI / Tableau, and other data analysis tools.

  • Proficiency in statistical analysis methods, data modeling, hypothesis testing, and AB testing.

  • Strong analytical and problem-solving skills.

  • Excellent communication and interpersonal skills.

  • Ability to work independently and as part of a team.

  • Fluent English (additional european language will be a plus)

Soft skills

  • Acts as a team mentor

  • Good communication skills, ability to communicate

  • to both technical and non-technical audiences.

  • Applying expertise in analysis to see beyond the

  • numbers and provide clear insights.

  • Ability to think strategically and creatively.

  • Passion for data and analytics

What do we offer?

  • Competitive salary based on your professional experience

  • Stable employment in the fast growing international company

  • Wide benefit system

  • Dynamic work environment

  • Ability to influence business and its results

  • Professional growth — you will attend free external and internal courses

  • Paid business trips and payment for participation in conferences

  • Paid corporate language classes (English, German, Polish)

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

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