About StarRez

StarRez, Inc. is the leading student housing and property management platform in the world. Our cloud software solutions serve 1,300 institutions, in 25 countries, with over 3 million beds. With a customer satisfaction score of 99%, many of the most prestigious Universities, Colleges and Property Managers across the globe rely on StarRez to transform their student residential experience. Along with the recent combination of Adirondack Solutions and RMS, this growing scale enables even greater opportunities to expand community value through our product capabilities and services. We provide opportunities for students and residents to Thrive! 

StarRez is a portfolio company of Vista Equity Partners, one of the largest and most respected private equity firms in the world. 

The Role

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.]

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

Reasons to join our Team:

• A well-established, high-performance company that has been in business for over 30 years
• Full benefits including health care, paid time off, life insurance, and 401k plan with company match.
• A supportive team environment with emphasis on learning and development opportunities
• Our Promise: You will learn, grow, and be appreciated for your impact and contributions.
• Z-Factor: Our most celebrated value, you will work with a team of caring, high-performing, and passionate people who have fun supporting our vision, innovation, and continuous improvement.

Even if you don't have all of the Preferred Qualifications listed above, but feel you have what it takes to succeed in the role, we would love to hear from you! 

We are proud of our diverse workforce and are dedicated to creating a safe and welcoming environment for all employees. People from various ethnicities, ages, genders, and abilities are encouraged to apply.

Notice to external Recruiters and Recruitment Agencies:

StarRez will not accept unsolicited resumes from recruitment agencies, headhunters, or any other third parties for this role through this website or directly to any employee. StarRez and any of our subsidiaries will not pay fees to any third-party agency or company. In addition, we ask that you do not reach out to any employee with regards to this position, or any other positions, now, or in the future.