Senior Data Analyst - Automotive Aftermarket
Senior Data Analyst - Automotive Aftermarket
π’ ABOUT THE COMPANY
AutoZone, one of the largest retailers of automotive parts and accessories in the world, was founded in 1979. Our mission is to deliver high-quality products and services to our customers in a fast and friendly manner. With over 6,000 stores globally, we pride ourselves on being a great place to work, where our employees are empowered to make a difference in the communities we serve. AutoZone has been recognized as one of the top companies to work for in Germany, and we're committed to continuing this trend.
π― ROLE OVERVIEW
As a Senior Data Analyst in our Automotive Aftermarket team, you will play a critical role in analyzing data from various sources to inform business decisions. You will work closely with cross-functional teams to develop and implement data-driven strategies, and help drive business growth through data insights. You will report directly to the Head of Data Analytics and will be an integral part of our remote team.
π KEY RESPONSIBILITIES
Develop and maintain complex data models to support business decisions.
Analyze large datasets to identify trends and patterns.
Create data visualizations to communicate findings to stakeholders.
Collaborate with business stakeholders to understand their data needs.
Design and implement data-driven solutions to improve business outcomes.
Develop and maintain data quality and integrity procedures.
Stay up-to-date with industry trends and emerging technologies to continuously improve data analysis and visualization techniques.
β REQUIRED QUALIFICATIONS
Master's degree in Data Science, Statistics, or related field.
At least 5 years of experience in data analysis and interpretation.
Expertise in data visualization tools such as Tableau or Power BI.
Proficiency in programming languages such as Python or R.
Experience with data storage solutions such as SQL or NoSQL databases.
Ability to communicate complex data insights to non-technical stakeholders.
β PREFERRED QUALIFICATIONS
Experience working with cloud-based data platforms such as AWS or GCP.
Certification in data science or analytics.
Knowledge of programming languages such as Java or C++.
Experience with machine learning algorithms and techniques.
π° WHAT WE OFFER
We offer a competitive salary range of β¬60,000 - β¬80,000 per year, depending on experience.
We provide comprehensive health insurance and a retirement plan.
You will receive 30 days of paid vacation time per year.
We offer a learning and development budget to support your growth and development.
Our team culture values collaboration, innovation, and continuous learning.
We have a hybrid work policy that allows for remote work and flexible schedules.
π₯ ABOUT THE TEAM
Our team is composed of experienced professionals with a passion for data analysis and interpretation. We work collaboratively to drive business growth through data insights, and value open communication and feedback. We've recently completed a number of successful projects, including the development of a predictive model to forecast sales.
π¨ HOW TO APPLY
To apply, please submit your resume and a cover letter outlining your experience and qualifications. We expect to fill this role within 3-4 weeks.
π Job Details
| Job Type | π Remote |
| Location | Remote, DE |
| Address | KaisersstraΓe 10, 53113 |
| Salary | EUR 60,000 β 80,000 / year |
| Industry | General |
| Company | AutoZone |
| Valid Until | 2026-09-14 |
π¨ How to Apply
Submit your updated CV and a brief cover letter to AutoZone. Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted within 2 weeks of applying.