We help create thriving residential communities. With over 30 years' experience, 1400 customers worldwide and over 3 million beds under management, StarRez is the leading provider of housing accommodation automation software solutions on the market.

StarRez has unmatched experience with university, college, and private property manager housing and conference operations large and small in the United States, Canada, United Kingdom and Europe, Australia, New Zealand, Asia, and the Middle East. Our experience, resources, proven product solutions, and active customer community ensure customer success now and in the future.

We are seeking a Data Analyst – Product & Pricing to join our team and play a crucial role in supporting the Senior Product and Pricing Analyst as they build a brand-new pricing and analytics function within our category leading SaaS company.

As a Data Analyst – Product & Pricing, you will collaborate closely with the Senior Analyst to derive data-driven insights that will inform our product roadmap and pricing strategy. This role requires a deep skillset in data analysis.

Role Specifics

• Work Location: Remote, US [PT, MT, or CT timezones preferred]
• Travel: 20% [The percent of travel is an estimation, and it could vary up or down based on business needs throughout the year.]
• Compensation: $85,000 - $135,000/ year DOE

What You Will Own

Product Analytics:

• Perform general product analytics including user behavior analysis, feature adoption, and product performance to support Product Managers in discovery and roadmap definition
• Serve as primary administrator for product analytics tools and key liaison for data platforms leveraged across the organization
• Collaborate cross-functionally to create a unified and comprehensive source of truth & data strategy
• Establish and track KPIs to monitor overall product performance

Pricing Analytics:

• Conduct pricing analysis including market research, competitive benchmarking, and customer segmentation including stakeholder interviews and surveys, to better understand customer value and willingness to pay
• Utilize advanced analytical techniques to assess product-market fit, evaluate price elasticity, and optimize pricing models
• Build predictive models to forecast trends, perform scenario analysis, and predict outcomes
• Establish KPIs to track pricing performance and evaluate the effectiveness of pricing initiatives

Data Management:

• Assist with the integration of data from various sources and implement best practices to streamline data collection and reporting
• Ensure data integrity, accuracy, and compliance by implementing rigorous data validation processes and resolving data quality issues as they arise
• Assist in building out a data practice, strategy and roadmap on which we can generate world-class insights and an AI/ML strategy

Cross-Functional Collaboration:

• Partner with cross-functional teams, including Revenue Ops, Marketing, Sales, Customer Success and Finance, to gather data requirements and provide actionable insights

Report Development:

• Develop and maintain reports and dashboards to communicate analytical findings effectively
• Support adoption and enable self-serve across functions, ensuring that data-driven insights are accessible and actionable across the organization

Application Deadline: This role will accept applications until May 5th, unless otherwise posted.

Required Qualifications

• Bachelor's degree in Mathematics, Statistics, Business, Data Science, or a related field
• 5+ years of experience in an analytics-based role
• 1+ years experience working for a SaaS company
• Experience with business intelligence (BI) tools such as PowerBI, Tableau, Domo, etc.
• Experience with product analytics tools such as Pendo, Gainsight PX, Amplitude, etc.
• Experience with Salesforce reporting

Preferred Qualifications

• Master's Degree in applicable field of study
• Strong aptitude for delivering outcomes and clarity in ambiguous situations
• Ability to be resourceful and proactive in seeking answers or direction
• Strong analytical and problem-solving skills, with the ability to translate data into actionable insights
• Excellent communication and presentation skills
• Detail-oriented and highly organized, with a commitment to data accuracy
• Collaborative team player with the ability to work cross-functionally
• Familiarity with value-based pricing & packaging practices & methodologies
• Strong business acumen and understanding of pricing concepts, market dynamics, and competitive strategy
• Knowledge of data warehousing processes and experience working with relational databases
• Previous experience supporting pricing and analytics for enterprise-level products
• Familiarity with statistical techniques for predictive modeling and data mining
• Proficiency in SQL for data extraction and analysis