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Change Data Analyst

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Amazon

Nov 3

Applications are closed

  • Job
    Full-time
    Mid & Senior Level
  • Data

Requirements

  • Fließende Deutsch- und Englischkenntnisse
  • Hervorragende Kenntnisse in Python, C++, Java, VBA
  • Sehr gute Kenntnisse in MySQL und Oracle-Datenbanken
  • Vertrautheit mit ETL-Prozessen, idealerweise im Umfeld von Data-Warehouses
  • Sehr gute Excel-Kenntnisse, einschließlich VBA, Web-Abfragen und ODBC
  • Erfahrung in der Nutzung von Minitab und statistischer Analyse
  • Fähigkeiten in der Analyse historischer Daten und Trendanalyse

Responsibilities

  • Konzipierung und Programmierung von Software-Tools als Entscheidungsunterstützung für das Management
  • Erhebung, Auswertung und Aufbereitung von Daten als Entscheidungsunterstützung für das Management
  • Abfragen und Auswertungen aus Oracle- und MySQL-Datenbanken
  • Konsolidierung, Verarbeitung und Analyse von Daten aus verschiedenen Quellen
  • Klare, präzise Berichterstattung und Interpretation der ausgewerteten Daten

FAQs

What is the main responsibility of a Change Data Analyst at Amazon?

The main responsibility of a Change Data Analyst at Amazon is to support the Senior Operations Manager in collecting, analyzing, and preparing data to evaluate process quality and identify improvement potentials.

What qualifications are required for the Change Data Analyst position?

The basic qualifications include fluent German and English skills, excellent knowledge of Python, C++, Java, and VBA, very good knowledge of MySQL and Oracle databases, familiarity with ETL processes, and strong Excel skills including VBA, web queries, and ODBC.

What are the preferred qualifications for this role?

The preferred qualifications include experience in using Minitab and statistical analysis, as well as skills in analyzing historical data and trend analysis.

Is knowledge of data visualization tools required for this role?

The job description does not specifically mention data visualization tools, but strong analytical skills and the capability to report and interpret data effectively are important.

Are there any special considerations for applicants with disabilities?

Yes, applicants with disabilities will be given preference if they have similar qualifications.

Where is the Change Data Analyst position located?

The Change Data Analyst position is located in Kobern-Gondorf, Germany.

Does Amazon value diversity in its hiring process?

Yes, Amazon believes that employing a diverse workforce is central to its success and makes recruiting decisions based on experience and skills.

What programming languages should applicants be proficient in for this role?

Applicants should have excellent knowledge of Python, C++, Java, and VBA.

What database management skills are essential for this job?

Very good knowledge of MySQL and Oracle databases is essential for this role.

How does Amazon handle candidate privacy?

Amazon prioritizes the protection of candidate privacy and data security, and it provides information on how personal data is collected, used, and transferred in its Privacy Notice.

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

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