Advanced Analytics Trainee
Evert van de Beekstraat 310, Amsterdam, Netherlands
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Samsung Electronics
Tervetuloa Samsung Suomen verkkosivuille. Tarjoamme laajan valikoiman innovatiivista kodinelektroniikkaa ja tekniikkaa. Tutustu älypuhelimiin, tabletteihin, televisioihin, kodinkoneisiin ja muihin tuotteisiimme.Position Summary
Are you a recent graduate looking to kickstart your career in sales, marketing or data? Do you have a passion for technology and innovation? Samsung is seeking ambitious, commercial-minded, and collaborative individuals to join our dynamic organization.About the Traineeship:
Our 3-year Traineeship is designed to equip you with the skills and experience necessary to excel in the competitive world of sales, marketing or data. Working for a major international global player like Samsung offers you, as a trainee, huge opportunities for hands-on experience. During this program, each year you will have the opportunity to make a difference and learn from the best in different key positions at Samsung that match your area of expertise. Besides hands-on experience, you also get the opportunity to personally develop yourself during our various learning tracks imbedded in the trainee program together with your fellow trainees.
Don't limit your talents! Give them the freedom to grow with us. So what are you waiting for? #DoWhatYouCant and become our next Samsung trainee.
Role and Responsibilities
Representing the brand, you radiate confidence and professionalism in an inspiring way. In this way, you actively contribute to the further growth of Samsung.
This means that you are responsible for the following:
Data Engineering
- Collect and connect data from different sources according to business needs, use cases, potential exploitation and deployment, and technology possibilities: GCP, Azure, and on-premise servers
- Model raw data into clean, tested, and reusable datasets, make it easier for business analysts and other stakeholders to view and understand data in DB
- Apply various transformations (ETL, ELT) to different data pieces to ensure they correspond to given tasks
Data Science and Machine Learning
- Develop data science and machine learning models with the goal of improving revenue from marketing campaigns
- Identify key customer segmentation and support the personalization of marketing communication for precision audience targeting
- Support pricing strategy and manage pricing models
BI dashboard development
- Support simulation and data visualization projects
- Convert data into a suitable graphic format including - dashboards, graphs, charts, and reports using BI tools
- Support automated/self-serving data visualization projects by building the foundation layer for dashboard reporting.
Stakeholder engagement to make insights actionable
- Map requirements and projects from stakeholders, including business divisions and Marketing Channels, and Marketing Strategy teams.
- Evangelize the data-driven decision-making to the stakeholders while communicating in a plain and intuitive language so that stakeholders easily follow even the sophisticated and technical concepts.
- Establish collaboration with European and global teams working on projects as mentioned above.
Responsibility Expansion: As you develop and demonstrate your capabilities during the traineeship, your responsibilities will increase accordingly, providing you with more opportunities to take on greater challenges and responsibilities.
This traineeship position is part of our specialized Advanced Analytics Track. Meaning that within the three-year traineeship program you will develop yourself on the following topics to become well-rounded analytics professional:
- Year 1: Data Engineering (CM – D&A)
- Year 2: Data Science (CM – D&A)
- Year 3: BI development (CM - D&A)
Skills and Qualifications
Are you the one we are looking for?
- You hold a master's degree, preferably in Computer Science, Data Science, Statistics, Econometrics, Economics (Business economics), Quantitative Marketing, Business Informatics, or a related field
- Knowledge and skills in data engineering, API and cloud computing (GCP, Azure and Databricks)
- Knowledge and skills in SQL/Big Query and Python for data processing and data mining (modelling)
- Knowledge and skills in statistical modelling: Machine Learning and Data Science
- You are enterprising, ambitious, like to take initiative and you stand firm in your shoes
- You are innovative (we move fast and take big risks)
- You are passionate (we reveal in what we do)
- You are collaborative (we recognize that we are all in this together)
- Analytical mindset with the ability to interpret data and make informed decisions.
- You are communicative, customer-oriented, and proactive.
What do we offer?
- A competitive salary: As a trainee, you deserve a good start and a good salary which is yearly reviewed.
- Time for a bonus: Have you really done well? Then we can reward you with a quarterly bonus.
- Let's get healthy: With our wellbeing programs, initiatives and office gym, you are well on your way to a healthy lifestyle.
- Health Insurance & Pension: You can participate in our well-regulated collective health insurance and pension scheme.
- Develop your talents: Work on all your talents with our dedicated and tailored training program.
- Events & Extras: Get discounts on our Samsung Employee Webshop and get ready for epic events throughout the year.
How to Apply
Ready to take the next step in your career with Samsung? Apply now by submitting your resume explaining why you’re the perfect fit for our Traineeship kick starting per September 1st.
* Please visit Samsung membership to see Privacy Policy, which defaults according to your location, at: https://account.samsung.com/membership/policy/privacy. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here: https://europe-samsung.com/ghrp/PrivacyNoticeforEU.html
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Azure BigQuery Computer Science Databricks Data Mining Data visualization Econometrics Economics ELT Engineering ETL Excel GCP Machine Learning ML models Privacy Python SQL Statistics
Perks/benefits: Career development Competitive pay Fitness / gym Salary bonus
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