Logo of Huzzle

Find 40,000+ jobs, internships & events from 6,000+ top companies on Huzzle using AI

Data Analyst (f/m/d)

image

Siemens

Feb 6

  • Job
    Full-time
    Entry, Junior, Mid & Senior Level
  • Data
    Research & Development
  • Berlin

AI generated summary

  • You need a degree in a quantitative field, strong SQL/Python skills, data visualization experience, problem-solving abilities, excellent communication, and German/English proficiency. Occasional travel required.
  • You will analyze data, create reports and dashboards, collaborate with teams, ensure data integrity, promote digitalization, and optimize business processes in quality management.

Requirements

  • Bachelor's degree in a quantitative field, such as statistics, mathematics, computer science, or business analytics. Master’s degree is a plus.
  • Strong proficiency in data analysis tools and programming languages, such as SQL, Python, MS dynamics, cloud solutions, large language models, …
  • Understanding modern software architectures and design guidelines.
  • Excellent problem-solving and critical thinking skills, with the ability to interpret complex data and draw meaningful conclusions.
  • Communication skills, both written and verbal, to present data-driven insights to stakeholders at all levels.
  • Experience in data visualization and dashboard creation using tools like Power BI, Tableau or Qlik.
  • Knowledge of data management principles, including data quality, data governance, and data security.
  • Familiarity with project management methodologies and the ability to work collaboratively in a team environment.
  • Proficient language skills in German and English.
  • This position is based in a manufacturing plant environment (Berlin, Frankfurt) and may require occasional travels to Siemens locations.

Responsibilities

  • Acquire and maintain data from various sources for quality relevant data on business-relevant topics, e.g. operational process, equipment performance, supply chain and sustainability.
  • Perform data analysis using statistical techniques, data mining, and other analytical tools to uncover patterns, trends, and relationships within the data.
  • Develop reports, dashboards, and visualizations to effectively communicate data-driven insights to collaborators.
  • Collaborate with multi-functional teams to understand business requirements and translate them into data-driven solutions. Evaluate and analyze user experience.
  • Find opportunities for data-driven process improvements and make recommendations to optimize business performance.
  • Maintain data integrity, security, and confidentiality in accordance with organizational policies and procedures.
  • Stay up to date with the latest data analysis tools, techniques, and industry trends to improve the organization's data capabilities.
  • Promote digitalization and automation in quality management by implementing suitable tools and solutions.
  • Support of the manufacturing network in quality-related data analytics.

FAQs

What is the work environment like for the Data Analyst position?

The position is based in a manufacturing plant environment in cities like Berlin or Frankfurt, and may require occasional travel to Siemens locations.

What qualifications are required for this Data Analyst role?

A Bachelor's degree in a quantitative field such as statistics, mathematics, computer science, or business analytics is required. A Master’s degree is a plus.

What programming languages and tools should I be proficient in for this position?

Strong proficiency in data analysis tools and programming languages such as SQL, Python, MS Dynamics, and cloud solutions is required. Familiarity with data visualization tools like Power BI, Tableau, or Qlik is also important.

How is data security handled in this role?

You will be responsible for maintaining data integrity, security, and confidentiality in accordance with organizational policies and procedures.

What benefits do you offer to employees?

We offer an attractive remuneration package, 30 leave days, development opportunities for personal and professional growth, and a flexible working model that allows for time off for personal and family needs.

Is knowledge of German necessary for this role?

Yes, proficiency in both German and English is required for effective communication with stakeholders.

How often can I work remotely in this position?

You can work 2 to 3 days from home per week as a global standard.

Is there a focus on digitalization and automation in this role?

Yes, promoting digitalization and automation in quality management by implementing suitable tools and solutions is part of the responsibilities.

Will I have the opportunity to collaborate with other teams?

Yes, you will collaborate with multi-functional teams to understand business requirements and translate them into data-driven solutions.

Are there opportunities for furthering my career with Siemens?

Yes, we offer various development opportunities for both personal and professional growth within the company.

Technology to transform the everyday.

Technology
Industry
10,001+
Employees
1847
Founded Year

Mission & Purpose

Siemens is a technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to cleaner and more comfortable transportation as well as advanced healthcare, the company creates technology with purpose adding real value for customers. By combining the real and the digital worlds, Siemens empowers its customers to transform their industries and markets, helping them to transform the everyday for billions of people. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a globally leading medical technology provider shaping the future of healthcare. In addition, Siemens holds a minority stake in Siemens Energy, a global leader in the transmission and generation of electrical power. In fiscal 2022, which ended on September 30, 2022, the Siemens Group generated revenue of €72.0 billion and net income of €4.4 billion. As of September 30, 2022, the company had around 311,000 employees worldwide.