Big Data Analyst
Big Data Analyst
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Job Description
Position Summary
Headquartered in Ridgefield Park N.J. Samsung Electronics America Inc. (SEA) is a leader in mobile technologies consumer electronics home appliances and enterprise solutions. The company pushes beyond the limits of todays technology to provide groundbreaking connected experiences across its large portfolio of products and services including mobile devices home appliances home entertainment 5G networks and digital displays. As an eleventime winner of EPAs ENERGY STAR Partner of the Year Award for Sustained Excellence SEA is dedicated to making a positive impact on the environment through its ecoconscious products practices and operations.People Excellence Change Integrity Coprosperity
Role and Responsibilities
Role & Responsibilities
We are looking for a skilled Big Data Analyst to join our team focused on analyzing data from pre/postlaunched Samsung mobile products. The ideal candidate will have extensive experience in mobile network related field with a strong understanding of big data technologies and mobile device ecosystems. This role offers the opportunity to work with vast datasets to derive insights and optimize mobile device performance.
Strategy Development &
- 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 indepth analysis of mobile device usage patterns performance metrics and user behaviors to identify trends and opportunities for optimization.
- Collaborate with crossfunctional 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.
Skills and Qualifications
Minimum Qualifications
- Bachelors 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 problemsolving 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 nontechnical 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 largescale 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 nontechnical audiences.
- Analytical Skills: Strong analytical and problemsolving 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 nontechnical 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.
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Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process
Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process.If you have a disability and require a reasonable accommodation in order to participate in the application process please contact our Reasonable Accommodation Teamor for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.
Required Experience:
IC
Employment Type
Full-Time
