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.