Sr. Business System Analyst/Product Manager - Plano, TX or Irvine, CA (hybrid)

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
50% Travel

Skills

Business Analysis
Data Analysis
Microsoft Power BI
SQL

Job Details

Key Responsibilities:

Stakeholder Engagement & Requirements Gathering: Collaborate with business stakeholders to elicit and document high-impact requirements, translating them into clear, actionable functional and technical specifications for data and analytics solutions.

Product Ownership & Roadmap Management: Define, prioritize, and manage product backlogs for data initiatives, ensuring alignment with strategic goals and customer needs.

Solution Design & Implementation Support: Lead the design of business and data workflows; act as a liaison between business and technical teams to ensure optimal solution architecture and delivery.

Data Strategy & Governance: Develop standards and best practices for data quality, data governance, and lifecycle management, ensuring compliance with internal policies and external regulations.

Data Analysis & Insights: Perform complex data analysis and design metrics or dashboards that provide actionable insights to support decision-making.

Quality Assurance & User Testing: Collaborate with QA teams to validate functional and data-related solutions; ensure that the delivered products meet user expectations and performance standards.

Documentation & Communication: Maintain comprehensive documentation of data flows, system interfaces, and business logic; effectively communicate technical concepts to non-technical stakeholders.

Qualifications:

Education & Experience

  • Bachelor s degree in Computer Science, Information Systems, Business, or related field.
  • 5+ years of experience in business systems analysis, data analysis, or product management roles within data-driven environments.

Technical Proficiency

  • Strong SQL skills and familiarity with at least one programming language (Python, R, or Scala).
  • Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and cloud-native data services.
  • Proficient with data visualization tools like Tableau, Power BI, or Looker.
  • Knowledge of Data Lakehouse concepts (e.g., Delta Lake, Snowflake) and big data frameworks (e.g., Apache Spark).
  • Working knowledge of Databricks platform
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