PM/Project Coordinator Support- Working Student (Wroclaw)
Poland
Nokia
As a technology leader across mobile, fixed and cloud networks, our solutions enable a more productive, sustainable and inclusive world.Working Student is a long-term paid internship, that allows you to kickstart your fabulous journey in the IT and Telecom world. As our Trainee you can have experience working in such areas that correspond to full-time engineering jobs. The internship usually lasts from 6 to 24 months. We are open to flexible working hours so that you can reconcile working with us with your studies. #OpenToYou.
Operations (Transformation and Quality) Management team focused on short- to long-term planning and pipelining is looking for a student to join the team and augment operations with automation and data visualization.
We Work With:
- Variety of data types and sources
- Power BI
- Python
- Microsoft Azure
- SQL databases
As part of our team, you will:
- Assist to build and maintain small-to-large data analytics and visualization solutions to be used across the business and conduct analysis of diverse data sources.
- Deliver and maintain key analytical solutions, e.g. preparation of data sets for exploration and visualization as well as selection of analytical methods and tools adequate to properties of the analyzed systems and data sets
- Prepare high quality reports and presentations and to present data analysis workflow and results to management and colleagues
You have:
- Status of student in Computer Science, Mathematics, Physics, Electrical / Electronics Engineering, Econometrics or similar area
- Ability to hybrid work from Wroclaw office
- Good English, both spoken and written
- Ability to analyze large, complex, multi-dimensional data sets with a variety of analytics methods (math, statistics, machine learning, etc.) and software tools (e.g. scripting in Python)
- Ability to visualize the analysis results via Power BI and other Business Intelligence tools
- Familiarity with database technologies and querying languages
- Collecting business requirements related to data analysis and data-based insights generation
- Ability to translate business requirements into technical solutions
- Strong analytical, problem solving and synthesis skills
Come create the technology that helps the world act together
Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
What we offer
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
Nokia is committed to inclusion and is an equal opportunity employer
Nokia has received the following recognitions for its commitment to inclusion & equality:
- One of the World’s Most Ethical Companies by Ethisphere
- Gender-Equality Index by Bloomberg
- Workplace Pride Global Benchmark
At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.
Join us and be part of a company where you will feel included and empowered to succeed.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Business Intelligence Computer Science Data analysis Data Analytics Data visualization Econometrics Engineering Machine Learning Mathematics Physics Power BI Python SQL Statistics
Perks/benefits: Flex hours
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