Product Analytics Lead

Hyderabad, Telengana, IN

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About StarRez 

StarRez is the global market leader in student housing software and residential community management.  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, Seattle Technology Group, RMS, and CollegePads, 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 operates globally across the USA, UK, Canada, and Australia. The India Center is a pivotal extension of our growth strategy, focusing on building world-class centers of excellence teams while fostering a seamless blend of StarRez’s core values with India’s dynamic talent ecosystem.   

 

 

The Role 

As a Product Analytics Leader at StarRez, you will oversee impact measurement of our software across the customer and user lifecycle. Insights derived from this area of the business will be used to drive product strategy and the roadmap, enhance the customer experience and optimize business performance. This is a senior-level role that combines technical and data expertise, strategic thinking, and leadership to deliver actionable insights and influence decision-making across the organization. 

 

What You Will Own 

  • Leadership & Strategy: 
  • Define and implement the product analytics strategy to support product and business goals. 
  • Lead a small but highly capable team of analysts, providing mentorship, guidance, and development to scale the impact of the team for the benefit of the busines. 
  • Data-Driven Insights: 
  • Partner with product and executive teams to identify key questions and deliver insights that influence product roadmaps, improve business operations and bottom line impact. 
  • Analyze complex datasets to uncover trends, identify opportunities, and solve business challenges. 
  • Advanced Analytics & Experimentation: 
  • Design and oversee A/B testing frameworks, ensuring statistical rigor and reliable results. 
  • Apply advanced analytics techniques (e.g., regression analysis, cohort analysis, segmentation) to inform strategic decisions. 
  • Stakeholder Collaboration and Communication: 
  • Serve as a trusted advisor to product managers, engineers, designers, customer operations, marketers, sales leaders and other executives on data-related matters. 
  • Translate technical findings into clear, actionable recommendations for diverse audiences. 
  • Be a great data story teller, skilled in the art of using data visualization to bring to life stories on how our users are engaging with our software. 
  • Present findings in compelling and easy to digest ways to leaders all the way up to the CEO. 
  • Data Infrastructure: 
  • Collaborate with data engineering teams to ensure robust and scalable data pipelines
  • Advocate for tools and systems that improve data accessibility and usability across the organization. 
  • Performance Monitoring: 
  • Establish and maintain dashboards and reporting mechanisms to track product performance and user behavior. 
  • Regularly communicate findings to stakeholders and leadership. 
  • Tool Ambassador: 
  • Run a Centre of Excellence for Pendo, our incumbent Product Analytics tool, in order to realise maximum value from this software. 
  • Stay across developments of its features and leverage connections with other internal insights tools (eg. Salesforce and Domo) to generate the highest impact data sets that can then be used to guide business decisions. 

 

Required Qualifications 

  • Experience: 
  • 6+ years of experience in product analytics, data science, or a related field, with at least 2 years in a leadership role. 
  • Strong background in SaaS products and strong familiarity with subscription-based metrics (e.g., churn, ARR, LTV). 
  • Technical Skills: 
  • Advanced SQL skills for data extraction and transformation. 
  • Proficiency with visualization tools such as Pendo, Tableau, Looker, or PowerBI. 
  • Experience with statistical programming languages (e.g., Python). 
  • Expertise in analytics platforms like Pendo, Amplitude or Mixpanel. 
  • Leadership Skills: 
  • Proven ability to lead and develop high-performing teams. 
  • Excellent stakeholder management and collaboration skills. 
  • Competencies: 
  • Strategic mindset with the ability to think big-picture while managing detailed execution. 
  • Strong problem-solving and critical-thinking skills. 
  • Outstanding written and verbal communication skills. 
  • Education: 
  • Bachelor’s or Master’s degree in Data Science, Statistics, Business Analytics, or a related field. 

 

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!  

 

Reasons to join our Team: 

StarRez is not just a workplace—it’s a place to belong, build, and grow.   

  • A Culture That Lasts: Many of our team members have been with us for 20+ years—a testament to our people-first philosophy.   
  • Global Impact, Local Ownership: Join a team that spans across Australia, the USA, the UK, and Canada, working on industry-leading solutions, while building the centre up from ground up.   
  • Long-Term Vision: We’re not here for short-term gains. We invest in our people for the long haul, creating an environment where you can grow, lead, and thrive.   
  • Innovation with Stability: Backed by Vista Equity Partners, we combine the agility of a scaling SaaS company with the stability of long-term industry leadership.   
  • Z-Factor: We take pride in our culture of passion, care, and high performance. The Z-Factor defines how we support our teams, foster growth, and ensure that everyone at StarRez thrives.   

If you are excited about building game-changing products in a high-impact, collaborative environment—StarRez India is the place for 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.  

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: A/B testing Amplitude Business Analytics CX Data pipelines Data visualization Engineering Looker Pipelines Power BI Python Salesforce SQL Statistics Tableau Testing

Perks/benefits: Startup environment

Region: Asia/Pacific
Country: India

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