Data Analytics Lead

About Kandji
Kandji is the Apple device management and security platform that empowers secure and productive global work. With Kandji, Apple devices transform themselves into enterprise-ready endpoints, with all the right apps, settings, and security systems in place. Through advanced automation and thoughtful experiences, we’re bringing much-needed harmony to the way IT, InfoSec, and Apple device users work today and tomorrow.
Some of the smartest money in tech has partnered with Kandji to realize our vision, including Tiger Global, Felicis, Greycroft, First Round Capital, and Okta Ventures. In July 2024, Kandji raised $100 million in capital from General Catalyst, bringing Kandji’s valuation to $850 Million.
Since Kandji’s Series C in 2021, the company has seen a 600%+ increase in annual recurring revenue, and its customer base has grown nearly 4X across 40+ industries. Notable customers include Allbirds, Canva, and Notion, and the company has partnerships with such industry giants as ServiceNow, AWS, and Okta.
Kandji was also named to Forbes’ Next Billion Dollar Startup List 2023 and recognized as a top venture-backed startup with the potential to reach unicorn status.
The Opportunity
We are hiring a Data Analytics Lead to join our growing Product Experience and GTM Growth team. In this role, you will leverage your technical expertise and analytical mindset to analyze and interpret complex data, shaping product development and quantifying new opportunities to ensure our products deliver exceptional value to our customers and accelerate growth at Kandji. You will collaborate closely with a diverse set of cross-functional partners—including Product, Engineering, Design, Marketing, Sales, Finance, and more—to identify and solve product development challenges using data-driven insights. As a key contributor, you will provide actionable recommendations that enhance user experience across all customer touchpoints.

How you will make a difference day to day

• Use data to influence product strategy and investment decisions. Help prioritize product development initiatives by setting goals and understanding the product ecosystem.
• Work with large and complex datasets to analyze user behaviors, pain points, and opportunities for improved product experiences.
• Build and maintain dashboards, reports, and visualizations to communicate key metrics and insights across Product and GTM teams.
• Partner with Product, Engineering, and Design teams to measure the impact of new product features and user journey enhancements, providing data-driven recommendations for further improvements.
• Design and implement A/B testing strategies to evaluate product changes and enhancements, and interpret results to inform product decisions.
• Conduct exploratory data analysis on customer feedback, user flows, and product usage to identify patterns and trends that can inform product direction .
• Provide analytical support to leadership and product managers, helping to set product KPIs, forecast performance, and determine areas for optimization.
• Partner with the revenue and finance teams to support GTM strategies through data analysis, customer acquisition cost (CAC) assessment, and revenue forecasting.
• Maintain and refine data models that facilitate deeper analysis of product experience and growth metrics, contributing to data accuracy and consistency.
• Present data findings and insights to cross-functional teams, highlighting critical areas of opportunity and progress toward company goals. Tell data-driven stories to convince and influence partners using clear insights and recommendations.
• Participate in customer journey mapping sessions to ensure data-backed recommendations are integrated into planning and execution phases.

We’d love to hear from you if you have

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
• 3+ years of experience in data analysis, preferably within a product-focused or SaaS environment.
• Experience in a SaaS B2B environment focused on enhancing customer experience and streamlining processes like onboarding and billing automation.
• Proven experience working with product data to drive insights and decision-making.
• Strong proficiency in SQL, Python, or similar programming languages used for data analysis.
• Experience with data visualization tools such as Omni, Tableau, Looker, Hex or similar platforms.
• Demonstrated ability to analyze complex datasets and deliver clear, actionable insights that drive product improvements.
• Strong communication skills, with the ability to present data insights to both technical and non-technical audiences.
• Familiarity with product development processes and the role played by data in product manag