Data Analyst

**At EQT, you won't just do a job, you'll help shape our future. Through Transparent Leadership, you'll work alongside leaders who value collaboration and ensure every voice is heard. Through Connected Impact, you'll see how your work influences critical business decisions and drives value across our operations. Through Supported Growth, you'll have opportunities to expand your skills through cross-functional collaboration, development opportunities, and career advancement.

**Join our Qrew! 

The Data Analyst III/Sr responsibilities include but are not limited to:

• Partner with business stakeholders to understand requirements and translate business needs into scalable data models, dashboards, and actionable insights.
• Design, develop, and analyze data solutions that transform raw data into meaningful information to support business decision-making.
• Develop and maintain dashboards, reports, and analytical solutions with a strong focus on usability, performance, and data accuracy.
• Provide technical guidance and support to end users, including conducting office hours, troubleshooting issues, and sharing dashboard and analytics best practices.
• Document solution architecture, data models, technical designs, processes, and development standards.
• Clearly communicate solution designs, analytical findings, and recommendations to both technical and non-technical stakeholders.
• Work independently while collaborating with internal customers and cross-functional teams to scope, prioritize, and deliver project requirements.

Required Experience and Skills:

• Bachelor's degree in a relevant field.

• 6+ years of experience in dashboard development, business intelligence, data analytics, or a related area.

• Minimum of 2 years of hands-on experience with TIBCO Spotfire dashboard development and administration.

• Strong SQL experience, including functions, stored procedures, Row-Level Security (RLS), and Attribute-Based Access Control (ABAC).

• Experience with or working knowledge of technologies such as:            Data lakes and modern data architecture, Databricks, Power BI, GitHub, Python, R and Salesforce

• Experience leveraging AI-assisted development tools to improve development efficiency, accelerate analysis, and streamline technical documentation.

• Strong analytical and problem-solving skills with the ability to address moderately complex business and technical challenges.