Prague, Czechia Role overview
About this role
At Siemens Global Business Services (GBS), we believe that data holds the key to unlocking unprecedented potential. We're not just looking for someone to run reports; we're seeking a visionary who can consult with our customers, understand their deepest challenges, and leverage cutting-edge data science and artificial intelligence to deliver insights that truly create an impact.
Our international team tackles the most exciting challenges of our customers. We have everything in our hands, whether it's cloud architecture, data engineering, AI & data science, or analytics. With us, you will have the opportunity to apply and implement the latest technical solutions in the cloud environment.
Help us to bring the Siemens OneTech Company to live and be part of our transformation to a data centric company.
Change the world of tomorrow together with us.
- Consult and Discover: Engage directly with our international clients and internal stakeholders to uncover their true business needs, pain points, and strategic goals. We're talking about understanding the "why," not just the "what."
- Generate Deep Insights: Move beyond basic data requests. You'll design and execute sophisticated analyses, applying advanced analytical techniques to extract meaningful, often hidden, insights from complex datasets. You'll also continuously explore and introduce emerging technologies and methodologies to keep us at the cutting edge.
- Champion AI Innovation: Help us to bring our portfolio the next level by exploring, experimenting and implementing AI methodologies to solve real-world problems and create predictive, prescriptive, and cognitive capabilities.
- Build Robust Data Foundations: Work hands-on with large volumes of data in relational databases, creating custom analyses, optimizing SQL queries, and designing/implementing automated data flows (ETL/ELT) and extensive data migrations to ensure data integrity and accessibility.
Your profile - solid and ready for the future
- A strong foundation in Business Informatics, Data Science, Statistics, Mathematics, Computer Science, or a related field is essential.
- A minimum of 2 years of demonstrated experience as a Data Analyst or in a similar role is required.
- Proficiency in working with data visualization tools preferably Power BI.
- Proficiency in working with relational databases, including MySQL, is a mandatory requirement. Familiarity with Snowflake is an asset.
- Knowledge of machine learning techniques and predictive modeling is highly desirable.
- Familiarity with data processing tools like Airflow, dbt and SSIS is considered an asset.
- Knowledge of Python programming is a definite advantage.
- Great communication and consulting skills are required.
- Fluent proficiency in the English language is a necessary skill to complete your profile.
What is Siemens offering beyond great career opportunities?
More time to rest
- Up to 33 days of vacation (5 weeks of holiday + up to 8 extra days from the benefits budget).
- The option to take unpaid leave for rest or travel.
Flexibility and home office
- Flexible working hours and the ability to work from home, with a contribution towards home office expenses.
Individual benefits budget
- Personal budget of at least CZK 34,000 to buy selected benefits from categories finance, wellbeing and health.
My finance
- Contributions towards pension and/or life insurance and/or DIP (a long-term investment product) from your benefits budget.
- Employee stock ownership plan – share in the company's success.
My wellbeing
- Cafeteria system from the benefits budget.
- Meal e-vouchers paid by Siemens
- Company nursery in Prague and Ostrava to support working parents.
- Exclusive employee offers and discounts.
My health
- Discounted MultiSport card.
- The option of access to premium healthcare and crisis support (e.g., psychological counseling).
We believe that diverse teams drive innovation and better solutions for our customers and society. We're committed to building an inclusive culture where you can bring your whole self to work.
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