DATA ANALYST- PRODUCT OWNER- DALLAS/DENVER

DATA ANALYST- PRODUCT OWNER

JOB TYPE – CONTRACT

JOB LOCATION- DALLAS/DENVER

. 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.