Business Analyst, Trustworthy Shopping Experience

Amazon; München; Vor Ort; EUR 50.000 - 90.000; Vollzeit

Zusammenfassung

Join a forward-thinking team dedicated to enhancing the shopping experience. As a Business Analyst, you'll leverage your analytical skills to protect customers from risks while collaborating with diverse teams. This role emphasizes data-driven insights, requiring proficiency in SQL and Excel to track metrics and influence key stakeholders. You'll enjoy a balanced work-life environment that fosters personal and professional growth. If you're passionate about making a difference through data, this opportunity is perfect for you.

Qualifikationen

• Bachelor's degree or equivalent experience in tax, finance, or analytics.
• Proficiency in Excel and data visualization tools.

Aufgaben

• Generate actionable insights through metrics and dashboards.
• Analyze business metrics to assess e-commerce risks.

Kenntnisse

Data Analysis

SQL

Excel (VBA, Pivot Tables)

Data Visualization (Tableau)

Business Insights

Stakeholder Influence

Ausbildung

Bachelor's Degree

Master's Degree

Tools

Tableau

Excel

SQL

Jobbeschreibung

Business Analyst, Trustworthy Shopping Experience

The Trustworthy Shopping Experience team is seeking a business analyst to help protect customers from defective, dangerous products and ensure a worry-free shopping experience. If you are a self-starter comfortable with handling complex data sets and working through ambiguity, this role is ideal for you.

Key job responsibilities

1. Use your passion for data to generate actionable insights through metrics, dashboards, and deep dive analyses.
2. Track existing and emerging abuse vectors, define and implement new initiatives, and measure progress using metrics.
3. Analyze business metrics to assess, prevent, and predict e-commerce risks.
4. Collaborate with partner teams to define success metrics, develop scalable reporting solutions, and provide data-driven insights for continuous improvement.
5. Coordinate with global Amazon teams, including program, product, and data teams, requiring strong cross-team collaboration skills.

A day in the life

Monitor and report on business metrics, identify root causes of metric fluctuations, and work on projects to improve policies, processes, and tools, in collaboration with data science and engineering teams.

About the team

Inclusive Team Culture

Amazon values diversity and inclusion, supported by employee-led affinity groups, inclusive benefits, and learning experiences like AmazeCon. Our leadership principles encourage seeking diverse perspectives, curiosity, and earning trust.

Work/Life Harmony

We prioritize work-life balance, encouraging employees to find a personal rhythm that energizes both their professional and personal lives, fostering long-term happiness and fulfillment.

Minimum qualifications

• Bachelor's degree or equivalent
• Experience in tax, finance, or a related analytical field
• Proficiency in Excel (including VBA, pivot tables, array functions, Power Pivot) and data visualization tools like Tableau
• Experience with SQL
• Ability to define requirements and use data and metrics to derive business insights
• Experience in making business recommendations and influencing stakeholders

Preferred qualifications

• Team player with experience working across diverse teams and cultures
• Creative in visualizing complex data simply and intuitively
• Advanced skills in data mining, SQL, ETL processes, and Excel
• Knowledge of programming languages such as Python, R, Java, C++, or Haskell
• Experience in product catalog, brand protection, risk management, or fraud teams
• Experience collaborating with machine learning and data science teams
• Business proficiency in languages like French, German, Spanish, Italian, or Arabic
• Master’s Degree

Amazon is an equal opportunity employer committed to diversity and inclusion. We make hiring decisions based on experience and skills, and prioritize candidate privacy and data security. For accommodations during the hiring process, visit https://amazon.jobs/content/en/how-we-hire/accommodations.