Big Data Analyst

Advansys is a dynamic solutions provider focused on delivering smart, modular, and sustainable technology solutions that enhance operations, improve customer experiences, and drive business modernization. With over 400 skilled engineers, we serve 100+ enterprise customers across 14 countries. Specialized in a wide array of premium services including Business Automation, Industrial Digitization, Low code Development, Cloud Services, Warehouse Automation & Strategic Outsourcing.

Founded in 2014, Advansys is part of the INTRO Group, a private conglomerate established in 1980 with diverse investments across different business areas, oil and gas, real estate, specialized engineering, financial investment, Food & manufacturing.

Role Description

As a Big Data Analyst at Advansys, you will be responsible for analyzing large datasets to uncover valuable insights and drive strategic business decisions. You will utilize a variety of tools and techniques to process and analyze data, helping the organization leverage data-driven insights to enhance performance and productivity.

In this role, you will:

• Work with large volumes of structured and unstructured data from different sources.
• Analyze data using big data technologies, including Hadoop, Spark, and NoSQL databases.
• Develop and implement data models to support analytic processes and reporting.
• Perform ETL (Extract, Transform, Load) processes to ensure data quality and availability for analysis.
• Collaborate with stakeholders to understand their data needs and deliver actionable insights.
• Create data visualizations and reports to communicate findings clearly to non-technical audiences.
• Stay updated with the latest trends and advancements in big data analytics.

Requirements

• Key Skills
• Programming Languages:
• Python, R, or Java (for data manipulation and analysis).
• SQL (for querying relational databases).
• Big Data Technologies:
• Familiarity with tools like Hadoop, Spark, or Kafka.
• Visualization Tools:
• Knowledge of Tableau, Power BI, or Python visualization libraries.
• Statistical Analysis:
• Basic understanding of statistical methods and data modeling.
• Soft Skills:
• Strong problem-solving abilities.
• Effective communication skills for presenting findings.

Qualifications

• Education:
• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Certifications (optional but helpful):
• Microsoft Certified: Data Analyst Associate
• Google Data Analytics Certificate
• Apache Spark Developer Certifications
• Experience:
• Internships or academic projects involving data analysis or big data processing are valuable.

Benefits

- Hybrid working model

-Social and medical insurance

-Transportation