Samsung Junior Recruiter 

Romania, Bucharest 

476581720

Strategy Development & Execution

• Retrieve and analyze large datasets from various sources, including mobile devices, sensors, and user interactions, using SQL queries.
• Design and optimize database schemas and queries for efficient data retrieval and processing.
• Develop and maintain ETL (Extract, Transform, Load) pipelines to clean, transform, and integrate data from disparate sources.
• Perform in-depth analysis of mobile device usage patterns, performance metrics, and user behaviors to identify trends and opportunities for optimization.
• Collaborate with cross-functional teams to understand business requirements and translate them into actionable insights and recommendations.
• Create and maintain documentation for data schemas, pipelines, and analysis methodologies.
• Build interactive dashboards and reports to visualize key metrics and communicate findings to stakeholders.
• Stay updated on the latest developments in SQL technologies, big data frameworks, and mobile device trends to continuously improve analytical capabilities.

Minimum Qualifications

• Bachelor's or higher degree in Computer Science, Data Science, Information Systems, or a related field.
• 3+ years of experience in SQL development and database management, with proficiency in complex query optimization and performance tuning.
• Solid understanding of relational database concepts and experience working with SQL databases (e.g., PostgreSQL, MySQL, SQL Server).
• Strong analytical and problem-solving skills, with the ability to derive actionable insights from complex datasets.
• Excellent communication and collaboration skills, with the ability to effectively present technical findings to both technical and non-technical audiences.
• Knowledge of mobile device architectures, operating systems (Android), and mobile app development is a plus.

Skill sets:

• Data Analysis: Ability to perform advanced data analysis and interpretation using SQL, including aggregations, joins, and window functions. Experience with statistical analysis and hypothesis testing is a plus.

• ETL (Extract, Transform, Load): Knowledge of ETL tools and techniques for data integration, preprocessing, and cleansing is desirable. Experience with scripting languages (e.g., Python, Shell) for automating ETL processes is also desirable.

• Database Management: Solid understanding of relational database concepts and database management best practices. Experience with database administration tasks such as schema design, indexing, and performance tuning.

• Big Data Technologies: Familiarity with big data frameworks (e.g., Hadoop, Spark) and distributed computing concepts. Experience with handling large-scale datasets and parallel processing is advantageous.

• Data Visualization: Proficiency in data visualization tools and techniques for creating interactive dashboards and reports (e.g., Tableau, Power BI, matplotlib/seaborn). Ability to effectively communicate insights through visualizations.

• Mobile Device Ecosystem: Understanding of mobile device architectures, operating systems (e.g., Android), and mobile app development concepts. Knowledge of mobile device performance metrics, sensor data, and Android internals is beneficial.

• Android Knowledge: Familiarity with Android development frameworks, APIs, and tools. Understanding of mobile application lifecycle, UI/UX design principles, and performance optimization techniques on the Android platform.

• Microsoft Office Skills: Proficiency in Microsoft Office Suite, including Excel, PowerPoint, and Word. Ability to create and manipulate spreadsheets, develop presentations, and prepare documentation for technical and non-technical audiences.

• Analytical Skills: Strong analytical and problem-solving skills, with the ability to extract actionable insights from complex datasets. Experience with statistical modeling, machine learning, or predictive analytics is a plus.

• Communication: Excellent verbal and written communication skills, with the ability to convey technical findings to both technical and non-technical stakeholders. Experience in preparing technical documentation and presentations.

• Continuous Learning: Eagerness to stay updated on the latest developments in SQL technologies, big data analytics, Android development, and mobile device trends. Commitment to continuous learning and professional development.