Business Data Analyst (f/m/d)

CARFAX Europe; München; Hybrid; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A leading automotive data company is seeking a Business Data Analyst in Munich to explore data insights for improving the Vehicle History Report. The ideal candidate will have over 3 years of experience in data analytics with proficiency in SQL, Python, and AWS tools. This position offers a hybrid work setting, a collaborative international team, and a variety of benefits, including a fully funded pension plan and flexible working hours. Apply today to help enhance the used car market!

Leistungen

Fully company-funded pension plan

Health support for wellness activities

Flexible working hours

Work from abroad for 2 months

Qualifikationen

• 3+ years of experience performing data analytics.
• Experience with SQL, Python, and AWS-based tools.
• Strong problem-solving and analytical skills.

Aufgaben

• Investigate new and existing data sources to add value.
• Partner with Product Owners to define data questions.
• Present insights clearly for product decisions.

Kenntnisse

Data analytics

SQL

Python

AWS-based tools

Problem-solving

Analytical skills

Communication

Detail-oriented

Jobbeschreibung

Overview

As a Business Data Analyst for Product Teams, you are curious by nature and love exploring data to uncover insights that improve our Vehicle History Report. You will dig into internal and external data sources, assess data quality and product relevance, and translate findings into clear, actionable recommendations. Your work will directly influence product decisions, new features, and continuous product optimization. You will work closely with the Product Owners and other business stakeholders, communicating insights in a way that supports confident and timely decision-making. This position is based in Munich.

Responsibilities

• Investigating new and existing data sources to determine how they can add value to the Vehicle History Report.
• Partnering with Product Owners to define data questions, success metrics, and evaluation approaches for product ideas.
• Use a combination of internal and external toolsets and frameworks to process, load, and analyze various data formats.
• Catalogue and document data sources, processes, business rules/assumptions, and findings.
• Presenting insights clearly (written and verbal) so stakeholders can make the right product decisions.

Why us?

• Work with a purpose and help creating a fair used car market for everyone
• A very pleasant atmosphere in an international team (27 nationalities) - we work together, we win together, no jerks allowed!
• We stand for diversity and inclusion in all its dimensions, we see it as a strength for our teams
• While having a beautiful office in the center of Munich, we offer flexible working options usually in a hybrid setting - join the free CARFAX Office Lunch on our Team Tuesdays!
• Great team events like our famous annual Hike Day and Christmas Party

Benefits

• Financials: Fully company-funded pension plan, life- and occupational disability insurance
• Health: Financial support for sports and wellness activities | Free counselling at life and wellbeing challenges
• Work-life Balance: Flexible and family-friendly working hours with additional days off for special occasions and volunteering | The possibility to work from abroad up to 2 months a year

How to apply

Are you ready to disrupt the way Europeans buy and sell used cars? If so, take a detour from the daily grind and apply today including your CV, salary requirement and earliest possible starting date! A cover letter is not required, but we are always happy about a few words telling us why our vacancy and company is interesting for you.

Your profile

• 3+ years of experience performing data analytics.
• Explorative processing and analyzing complex datasets using SQL, Python, and AWS-based tools.
• Strong problem-solving, analytical, and support skills; you are a strategic thinker.
• High curiosity and a strong drive to dig into data to understand the “why” behind patterns and anomalies.
• A keen eye for quality; detail-oriented working style.
• Strong verbal and written communication skills, emphasizing technical writing and stakeholder-ready narratives.
• Fluency in English is required; you should feel comfortable working in a multicultural environment with English as the main language.