Άμεσες Προσλήψεις:Full Stack Analysts (
Πληροφορίες για την εταιρία και τo DDA group:
https://www.stout.com/en/services/digital-and-data-analytics
Περισσότερες πληροφορίες για τις θέσεις στo επισυναπτόμενo pdf (στα Αγγλικά).
Συνοπτικές λεπτομέρειες για τη θέση:
Full Stack Analyst – Digital & Data Analytics
Full Stack Analysts in the Digital & Data Analytics group will be part of a great team focused on
developing and creating innovative solutions to solve real-world problems across different industries.
At Stout, you’re engaged in real work right away.
Major Duties and Responsibilities:
As an Analyst, a typical day might include:
Developing, testing and deploying software solutions
Applying statistical and machine learning methods to analyze data from different industries
Working with large, complex datasets and implementing big data algorithms
Writing client-side and server-side code for web-based applications
Extracting and visualizing data from multiple sources
Building rapid software prototypes and accelerators by following agile principles
Leveraging RPA bots to automate repetitive tasks
Knowledge, Skills & Abilities:
The Analyst should have a passion for technology and creating tangible, useable software, and should
have the following academic and professional experience:
Completion of an undergraduate or graduate degree in Computer Science, Computer
Engineering, Applied Math, Statistics or related areas
Solid understanding of OOP software design and architecture
Sound programming skills in Python, Java, Scala or R
Proficiency with front end development in JavaScript, HTML and CSS
Familiarity with JavaScript libraries and frameworks, such as Angular JS, React or D3
Solid knowledge of database technologies, including relational (e.g., SQL, MySQL, etc.) and nonrelational
(e.g., MongoDB, CouchDB, etc.) databases
Understanding of cloud computing and skills in one cloud platform (AWS, Azure, or GCP)
Knowledge of code versioning tools (Git, SVN, etc.)
Understanding of network security protocols and data encryption algorithms
Exposure to RPA software a big plus
Coursework/practical experience with:
OOP programming languages, preferably python
Software design patterns
Data structures and efficient data storage methods
Machine learning, data analysis and data visualization techniques
Web libraries and frameworks
Big data analysis and cloud computing