Python Job: Data Analytics Professional (f-m-d)

Job added on

Company

Siemens

Location

Lisbon - Portugal

Job type

Full-Time

Python Job Details

Job Title: Data Analytics Professional (f/m/d)

Location: Nürnberg (Germany) or Lisbon (Portugal)

Mode of Employment: Permanent / Full-time

Thinking industry further!

Siemens Digital Industries (DI) is the innovation and technology leader in industrial automation and digitalization. Together with our partners and customers we drive Digitalization in both the discrete and the process industry, enabling flexibility, efficiency, and reduced time to market. Digital transformation paves the way for innovation, services, and new data-based business models.

Making things happen

DI Sales shapes the future of sales through outstanding consultation and innovative solutions in our regions for a unique customer experience. From further developing the whole Sales Organization through close collaboration between HQ and the regions – we enable and support the countries with sales excellence methodologies, tools and best practices based on a global overview. By constantly going one step further and pushing our boundaries to take the regions and their businesses to the next level where they can exceed their partners’ and customers’ expectations.

What part will you play?

  • As a Data Analytics Professional, you will be working in a fast paced, agile environment with the chance to take ownership and responsibility. Here you will have the mission to impact Siemens Order Intake by supporting guided selling, guided buying, and guided sales management.
  • Furthermore, you will craft and develop data insights and analytics driven use cases in collaboration with the respective key stakeholder group
  • You will work in close alignment with IT and external Tech partners when building and testing backend applications as well as the best possible UX
  • You will also agree on the sprints and release dates with the partners in IT and Business.
  • Also, you will develop and apply groundbreaking algorithms and AI.
  • Enable and promote deployment / usage and collect feedback / change requests from the user community

What you need to make real what matters.

  • The foundation of your profile is an academic degree in STEM (CS, Analytics, Informatics etc) from reputable university or college.
  • Multiple years’ work experience in similar capacity ideally from Sales environment
  • In-depth knowledge of Python and AWS awareness of other cloud tech like Snowflake etc.
  • You are a tech savvy person and are at ease with agile methodologies.
  • Working on Git repositories and collaborating on code with IT backend should come to you naturally.
  • You are curious and have an entrepreneurial mentality.
  • You innovate on your toes and have a curiosity about solving problems.
  • You can handle others’ expectations and you don’t get easily disappointed by rejections, instead you can find ways to push new insights to do better every day.

What we offer!

  • 2 to 3 days of mobile working per week as a future global standard
  • Attractive remuneration package
  • Development opportunities for both personal and professional growth
  • 30 leave days and a variety of flexible working models that allow time off for yourself and your family
  • Share matching programs to become a shareholder of Siemens AG
  • Find more benefits here

Individual benefits are adapted to meet local legal regulations, the requirements of different job profiles, locations, and individual preferences.

Make your mark in our exciting world at Siemens.

As an equal-opportunity employer we will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

FAQ - if you need further information on the application process.


Organization:
Digital Industries

Company: Siemens AG

Experience Level: Mid-level Professional

Full / Part time: Full-time