Strategy & Analytics Associate, Global Embedded Insurance

About the Role

We are looking for a Strategy & Analytics Associate to drive the growth and success of our Embedded Insurance products for Platform users globally. This role involves developing growth strategies, supporting product and business planning, conducting user segmentation, portfolio & user studies and sales funnel analytics. Responsibilities also include coordinating cross-functional initiatives to enhance product penetration and revenue growth while delivering exceptional customer value.

What You'll Do

1. Support growth analytics by developing sales and sales funnel insights through data analysis, customer segmentation to uncover insights that explain the drivers of adoption, retention, and cancellations.
2. Create and Test hypotheses around consumer behavior-such as opt-in triggers, churn risks, and upsell opportunities- support scaled experiments (A/B and multivariate XPs) to validate them, and present findings along with recommended solutions.
3. Regularly track and analyze dashboards to diagnose growth deviations and to provide relevant and actionable insights for the Embedded Insurance team.
4. Collaborate with the Data Science team post-experimentation to conduct deeper analyses based on high-level insights provided by DS
5. Partner with the Global Embedded Insurance Growth Team to create, analyze, and use survey output to create insights and campaigns to recommend optimal pricing strategies and product-market fit.
6. Conduct pricing optimization by supporting the testing, rollout, and measurement of promotional offerings on embedded insurance products, including pre- and post-rollout analyses across multiple regions to drive growth.pricing optimization
7. Support Long Range Planning , product feature impact sizing, and providing data support for building business cases and insurance product and proposition development.
8. Coordinate with Product, DS, Ops, CRM & Marketing to Drive on‑time product launches & unblock any data dependencies

1. Bachelor's degree in Math, Statistics, Economics, Business or Engineering, Computer Science, Operation Research, Machine Learning or other quantitative fields.
2. 3+ years of experience in a data-driven role within strategy, operations, e-commerce, tech, or consulting.
3. Strong SQL proficiency: Advanced analytical and quantitative skills, including proficiency in SQL and the ability to build and maintain robust strategic, financial and operational models.
4. Excellent communication and proven track record in stakeholder management and cross-functional execution

1. MBA or other advanced degree in a relevant field.
2. Proven experience in approaching data analysis using a structured, hypothesis-driven methodology, with the ability to craft compelling and well-supported narratives and recommendations based on insights.
3. Strong storytelling skills: able to distill complex and hard-to-find insights into a concise, engaging data story with excellent communication and collaboration capabilities.
4. Experience in a high-growth, fast-paced environment (such as a tech company, startup, or consulting firm), with a track record of adapting quickly, solving ambiguous problems, and collaborating across teams.
5. A proactive, ownership-driven mindset with a bias for action. Comfortable working independently when needed and enthusiastic about innovating and continuously improving processes in a dynamic space.
6. Ability to manage multiple priorities effectively in a fast-moving environment.
7. Experience in the insurance industry is a plus.