Offer summary

Qualifications:

Bachelor's degree in Data Analytics, Data Science, Mathematics, Statistics, Finance, Economics, or related field., Proficiency in SQL, Python or R, and data visualization tools like Power BI or Tableau., At least 5 years of experience in data analysis, product analytics, or business intelligence., Strong analytical, problem-solving, and communication skills, with fluency in English..

Key responsibilities:

Analyze data to identify trends and insights to support business decisions.

Create and optimize dashboards and reports for various stakeholders.

Collaborate with product and business teams to develop data-driven strategies.

Partner with Data Engineering to develop reliable data sources and identify new data opportunities.

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)