Product Analyst

The Product Analyst role serves as a vital contributor, bridging the gap between stakeholder requirements & technical execution. The primary focus is the assimilation & documentation of complex software requirements throughout the SLDC, enhancing Tyler’s market-leading public sector Enterprise Records Management (ERM) solution. Combining technical collaboration with a passion for efficient delivery, user experience, the analyst ensures innovative, consistent, and highly usable solutions.

HYBRID WORK POLICY: The candidate is required to be in the Lakewood, CO office at least 3x a week. 

Responsibilities

• Provide Business Value by solving market problems of wide-ranging scope and complexity to meet clients and potential clients needs.
• Gather and interpret data from product usage, customer feedback, market trends, and internal systems.
• Analyze product performance to identify patterns, opportunities, and areas for improvement.
• Gather requirements of wide-ranging scope and complexity from a variety of sources tosupport product development process.
• Research and analyze projects for new features based on system requirements defined by business system's owners.
• Collaborate with the appropriate Tyler teams to help design, develop, and successfully launch new features and changes within the product area.
• Proactively communicate with management and appropriate stakeholders on the product’s performance, any major issues with the products or any changes in the market or competition as related to the product.
• Contribute to the advancement of the team environment through integrity, leadership, and continuous knowledge transfer.
• Learn and analyze client business requirements, use cases and identify feature mvp.
• Embrace learning and adapt to priority shifts.
• Occasional Travel is required

Qualifications

• Bachelor’s degree in Business, Information Systems, Data Analytics, Computer Science, or related field (or equivalent experience).
• Full understanding of software development concepts and product lifecycles.
• Familiarity with data analysis tools such as Excel, Google Sheets, or beginner-level use of SQL.
• Exposure to or understanding of analytics platforms (e.g., Google Analytics, Power BI).
• Ability to interpret data and translate findings into clear insights.
• Strong critical thinking and problem-solving skills.
• Effective written and verbal communication skills.
• Detail-oriented with ability to organize, track, and structure information.