Product Analyst

Description

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 Tylers 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 tomeet 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 bybusiness systems owners.
• Collaborate with the appropriate Tyler teams to help design develop and successfully launchnew features and changes within the product area.
• Proactively communicate with management and appropriate stakeholders on the products performance any major issueswith 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 andcontinuous 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

• Bachelors 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.
• Strongcritical thinking and problem-solving skills.
• Effective written and verbal communication skills.
• Detail-oriented with ability to organize track and structure information.