Data Analyst- Product Owner

Job Description: 

• Proven experience working in a large-scale enterprise environment, preferably within the
• telecommunications industry.
• Solid understanding of data governance principles, data quality frameworks, metadata
• management, and data lineage.
• Familiarity with various data technologies and platforms (e.g., data warehouses, data lakes,
• ETL tools, cloud data services).
• Experience with Al-powered automation tools, particularly in data pipeline development,
• governance enforcement, and forecasting.
• Excellent communication, interpersonal, and presentation skills.
• Strong analytical and problem-solving abilities.
• Ability to work independently and as part of a team in a fast-paced environment.
• Certified Scrum Product Owner (CSPO) or equivalent certification is a plus.
• Knowledge of Data Warehouse and Data Lake.

Data Analyst

• Experience: 4-6 years
• Develop Data Solutions: Analysed, Design and build applications and data pipelines using
• AWS, Databricks, Redshift, and Snowflake.
• ETL/ELT Development: Analyze standards and procedures for, and design data extraction,
• transformation, and loading (ETL/ELT) processes for both batch and real-time data.
• Database Management: Design DataLakes and Data Warehouses, and work with databases like Oracle and SQL Server.
• SQL Expertise: Write advanced SQL queries, including performance tuning, to support data analysis and application needs.
• Full-Cycle Development: Handle the entire software development lifecycle for data warehouse applications, from requirements analysis to implementation, testing, and
• debugging.
• System Integration: Integrate, enhance, and fine-tune Enterprise Data Warehouses to consolidate data from various sources.