Performance Analytics Data Engineer

Job Summary:

We are looking for a highly skilled Data Engineer with expertise in performance analytics and software data visualization to join our team. This role involves developing and maintaining metrics using tools like Jira, Power BI, and Excel to visualize key software portfolio metrics that inform business decisions. Ensuring data accuracy, integrity, and consistency across all analyses and reports is crucial. The ability to translate business requests and complex data into clear, data-centric reports and views is essential.

Key Responsibilities:

• Develop and implement data visualization and performance analytics solutions to support software planning & delivery processes.
• Analyze data to identify trends, patterns, and areas for improvement in software performance.
• Create and maintain dashboards and reports using tools such as Excel, Jira, PowerBI, and custom solutions.
• Collaborate with cross-functional teams to define key performance indicators and optimize views.
• Provide actionable insights and recommendations to improve software delivery efficiency and effectiveness.
• Support global teams by providing data analysis and visualization services.
• Develop custom solutions and scripts using Jira's EXPR expression language in Jira Structure.
• Automate data collection, preprocessing, and reporting processes to ensure data accuracy and consistency.

Qualifications:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience in data analysis, data visualization, and performance analytics.
• Advanced skills in using JQL to create complex queries for reporting and dashboard creation.
• Expertise in optimizing Jira performance, troubleshooting issues, and ensuring system stability and scalability.
• Proficiency in data visualization tools such as Power BI.
• Ability to solution performance and optimize tooling to improve dashboard functionality.
• Strong analytical and problem-solving skills with the ability to interpret complex data sets.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a global team.

Preferred Qualifications:

• Experience with custom solutions tooling and automation.
• Knowledge of software development lifecycle and project management principles.
• Familiarity with cloud-based data platforms and tools.