Senior Product Analyst

Hyper Solutions Inc•Richmond, VA

2h•$95,000 - $115,000•Onsite

About The Position

The Senior Product Analyst at Hyper Solutions will play a key role in supporting the Software Development and Product teams by transforming application and platform data into actionable insights that guide product development, system performance, and business decisions. This role works closely with software engineers, product managers, and business stakeholders to analyze datasets, develop dashboards, and identify trends that improve product functionality, feature performance, customer experience, and operational efficiency. The ideal candidate is highly analytical, technically proficient in data analytics and visualization tools such as SQL, Power BI, Tableau, DOMO, or Looker, and comfortable working in a fast-paced development environment where data informs product direction and continuous improvement.

Requirements

Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related field.
2–5 years of experience in data analysis, product analytics, or business intelligence within a software, SaaS, or technology-driven environment.
Strong proficiency in SQL for querying, transforming, and analyzing datasets.
Experience building dashboards and visualizations using tools such as Power BI, Tableau, DOMO, Looker, or similar business intelligence platforms.
Familiarity with data warehousing concepts, data pipelines, and ETL processes.
Understanding of software development lifecycle (SDLC) and experience working within Agile development environments.
Strong analytical thinking and problem-solving capabilities.
Ability to translate complex data insights into clear, actionable recommendations for both technical and non-technical stakeholders.
Experience building data models, dashboards, and KPI frameworks that support product or engineering teams.
Strong attention to detail and commitment to data accuracy and integrity.

Nice To Haves

Experience working closely with product managers, software engineers, or platform teams.
Experience analyzing product usage data, feature adoption, or application performance metrics.
Experience with Python, R, or similar analytical programming languages.
Experience supporting A/B testing, experimentation frameworks, or product analytics initiatives.
Ability to work extended hours if business needs require and flexibility to collaborate across multiple time zones.

Responsibilities

Analyze structured and unstructured product and application datasets to identify trends, patterns, and actionable insights that inform product development and platform performance.
Develop reports and dashboards that support product development decisions, feature performance monitoring, and operational visibility.
Perform exploratory data analysis to uncover opportunities for product enhancements, feature optimization, and improved user experience.
Interpret complex datasets and translate findings into clear recommendations for both technical and non-technical stakeholders.
Work closely with software engineers and product managers to define data requirements, product metrics, and analytics needed to support new features and product initiatives.
Support the development and implementation of data models used by applications, analytics platforms, and reporting tools.
Assist with defining and tracking key performance indicators (KPIs) related to product usage, feature adoption, performance, and system reliability.
Participate in sprint planning, standups, and product discussions to provide analytical insights that support engineering and product teams.
Design and maintain dashboards using business intelligence tools such as Power BI, Tableau, DOMO, or similar platforms.
Build automated reporting pipelines that support real-time decision making and product performance monitoring.
Ensure reports and dashboards are accurate, reliable, and easily accessible to internal stakeholders.
Monitor and maintain data integrity, quality, and consistency across application systems and data sources.
Assist in the development of data governance standards and best practices across product and analytics environments.
Support validation of new software releases to ensure application data outputs and analytics instrumentation are accurate.
Partner with Product, Engineering, Marketing, and Operations teams to provide analytical support for key initiatives.
Assist in A/B testing and experimentation for product features to evaluate performance and user engagement.
Analyze feature adoption, user behavior, and platform usage trends to identify opportunities for product improvements and system optimization.
Present analytical findings and recommendations to leadership and cross-functional project teams.