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Data Analyst- Product Owner

VKore Solutions LLCDenver, CO🇺🇸United StatesPosted 22 Jul 2026

Why This Role Stands Out

This Data Analyst-Product Owner role offers a fantastic opportunity to shape product strategy and drive impactful data-driven decisions within a reputable company. You'll thrive here if you're adept at bridging technical and business needs, eager to develop leadership skills, and excited by a collaborative environment. Apply now to contribute to innovative solutions and advance your career.

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

 

Job Description: 

Title

Data Analyst- Product Owner

location

Dallas/Denver

Type

Contract

Interview Mode: 

Either Phone or In Person.

 

  • 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.

Skills

Oracle
SQL
SQL Server
AWS
ETL
Scrum
Snowflake
Data Pipeline
Databricks
Redshift

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