Data Analyst

Data Analyst

Location: Phoenix, AZ (Hybrid: 4 days in office, 1 day remote)

Position Summary

The Data Analyst - Enterprise Analytics is responsible for analyzing data, developing reporting solutions, and delivering actionable insights that help drive business decisions. This role supports both ongoing business intelligence initiatives and rapid prototyping of analytics products, working closely with business stakeholders and technology teams to transform requirements into scalable, production-ready solutions. The analyst also manages enhancement requests, dashboard improvements, and issue resolution efforts to ensure analytics products continue to meet business needs.

Key Responsibilities

• Develop and maintain SQL-based data solutions within Snowflake to support Power BI reporting, ad hoc analysis, and enhancements to existing analytics products.
• Collect, analyze, and interpret data to generate meaningful business insights and ensure the accuracy and reliability of reporting outputs.
• Create and support rapid business intelligence prototypes that help accelerate the delivery of analytics solutions from concept through production.
• Collaborate with stakeholders throughout the product lifecycle, including planning, requirements gathering, design, development, testing, documentation, deployment, and ongoing support.
• Manage and prioritize a backlog of reporting and analytics enhancements, aligning development efforts with business priorities and expected value.
• Support Agile project delivery by participating in and facilitating ceremonies such as sprint planning, daily standups, sprint reviews, retrospectives, and release planning activities.
• Review work products for quality, consistency, and alignment with established standards.
• Promote user adoption through documentation, training materials, KPI definitions, business logic documentation, release notes, and communications.
• Perform additional duties and projects as needed.

Qualifications

• Strong analytical and problem-solving skills with the ability to understand operational processes, identify challenges, and uncover opportunities for improvement.
• Excellent verbal and written communication skills with experience creating professional documentation and presentations.
• Working knowledge of Agile methodologies and Scrum practices, including experience managing and prioritizing a product backlog.
• Experience supporting technology-driven business initiatives, process improvements, or analytics implementations.
• Ability to work independently while managing multiple priorities, deadlines, and project deliverables.

Minimum Requirements

• Bachelor's degree in a quantitative or analytical discipline such as Mathematics, Statistics, Economics, Computer Science, Information Systems, Engineering, Finance, or a related field.
• At least one year of experience using:
  • Power BI
  • SQL
  • Python
  • Snowflake or a comparable cloud data platform