Data Scientist

About Zinrelo

Zinrelo is a fast-growing SaaS product company headquartered in San Antonio, Texas, with additional offices in Pune, India, and Sydney, Australia. Zinrelo offers a leading loyalty rewards platform that helps Colgate Palmolive, Jelly Belly, Western Digital, BIC and many other global brands to launch holistic loyalty programs. Zinrelo combines technology with deep data analytics and ongoing strategy consultation to unlock multiple dimensions of loyalty, including transactional, social, advocacy, engagement, behavioral, and emotional. Zinrelo’s loyalty platform is used by thousands of customers in 50+ countries.

About The Role

Zinrelo remains focused on building out its capabilities in strategic consulting, to help support its broad range of clients across key industry verticals such as Retail, CPG, B2B, and Automotive. Data science and analytics are a key component of this initiative. We are seeking an experienced and passionate Data Scientist who can help Zinrelo maximize the value of data for its clients. You will be expected to develop a fundamental understanding of how loyalty programs work and the value they bring. The role will be partly client facing. The successful applicant will also work with a wide variety of Zinrelo teams, including Loyalty Strategy, Customer Success, Product, Marketing, and Sales.

Responsibilities

• Regularly review and analyze program data and insights for a wide range of clients, and help them make data-driven decisions.
• Keep your finger on the pulse of all program health metrics and be able to identify new metrics that may need to be built out to support new clients, programs, or use cases.
• Work with internal Zinrelo teams to prepare, shape and create compelling and data-driven narratives for quarterly business reviews.
• Develop reports, presentations, and storytelling to enhance both the client and internal understanding of program performance.
• Participate in client-facing meetings to communicate value derived from data analysis.
• Assist in developing or evolving data strategies for managed client programs.
• Assist in the conceptualization and development of relevant dashboards and reporting for self-service clients.
• Understand key business drivers and drive program evolution opportunities based on data insights.
• Assist with the design and execution of strategies to measure and track metrics across segments, channels, and touchpoints, gathering qualitative and quantitative data on loyalty member experiences.
  
  

What You Will Bring To The Role

The customer is at the heart of everything you do

You are deeply committed to delivering an exceptional client experience, helping your colleagues to achieve the highest standards. You are a passionate champion of our clients’ needs, demonstrating continuous value through data driven insights.

You have an analytical and curious mindset

You have a passion for analysis and a strong understanding of measurable concepts such as Customer Lifetime Value (CLV), Return on Investment (ROI), Customer Acquisition Cost (CAC) and Recency, Frequency, Monetary (RFM). Your expertise in turning data into engaging visualizations and storytelling to share with stakeholders will be key to enhancing our client-centric culture.

You are an engaging communicator with a knack for influencing

Your collaborative approach and ability to build trust, educate and influence others allows you to bring people together and drive new initiatives.

You strive for continuous improvement

You are always looking for better ways of doing things that balance productivity and outcomes. Data, process and strategy play a big role in your decision making, while your demonstrated project management skills allow you to deliver change and improvements successfully.

Qualifications

• Bachelor's or Master's degree in Data Science, Mathematics, Statistics, Computer Science, or a related field.
• 3+ years of demonstrated experience in data science or analytics, with at least some of it in the digital marketing domain.
• Ability to derive insightful and actionable insights from data and present them impactfully.
• Ability to apply critical thinking and a structured approach to problem solving.
• Advanced data manipulation, extraction, and processing skills such as pivot tables, lookups, transposing, statistical analysis, and macros using spreadsheets (e.g., MS Excel, Google Sheets).
• Proficiency in SQL and NoSQL databases with the ability to run complex queries across multiple data sources, and a keen eye for data quality.
• Experience of generating dashboards and reports using data visualization tools such as PowerBI, R, or Tableau.
• Excellent English communication (verbal and written) skills, including effective presentation and narrative skills.
• Excellent interpersonal skills and ability to work with cross-functional stakeholders.
• Fundamental understanding of data analysis and metrics relating to loyalty programs would be a big plus.