Product Analyst

Hybrid$74,111 – $85,000/yrPosted 2 weeks agoLinkedIn

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About this role

Product Strategy Lakewood, Colorado Salary: USD 74111 - 85000 Annually

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 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.