The Customer Success Data and Analytics team needs to scale and support Full Service WIP strategy and outreach, optimizing the customer journey for outreach adoption to benefit the customer. This role will work cross-functionally to drive customer conversion and increase customer lifetime value.
Requirements
- Proven ability to extract insights from data and communicate compelling data-driven stories that drive business impact.
- Strong SQL skills for data extraction and manipulation.
- Expertise in data visualization tools (e.g., Tableau, Qlik).
- Experience with Python or R for advanced analytics, modeling, and automation is a plus.
- Familiarity with big data tools (e.g., Snowflake, Spark, Databricks) is a plus.
- Machine learning and Generative AI experience is a plus.
- Strong problem-solving and end-to-end quantitative thinking skills.
Responsibilities
- Drive strategic thinking and cross-functional alignment around data-driven approaches to optimize product and marketing efforts based on customer segments, lifecycle stages, and other critical customer attributes
- Lead deep exploration of customer data and spearhead customer segmentation, LTV modeling, and other actionable analysis/modeling
- Develop (alongside product and marketing counterparts) experimentation plans to measure and optimize execution of data-driven strategies across execution, targeting, and personalization
- Leverage machine learning, predictive analytics, and AI-driven solutions to improve decision-making
- Optimize and manage data pipelines to ensure scalable and efficient reporting
- Partner with cross-functional stakeholders to better understand our users and create a single, accurate view of a customer across businesses to make decisions about how best to acquire/retain them, segment, identify high potential value, and proactively interact with them
- Partner with business leaders (e.g. product, business development and finance) to define business strategies, areas of investment, and critical priorities
Other
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- 4+ years of experience in data science, analytics, or a related field.
- Ability to manage multiple projects simultaneously in a fast-paced environment.
- Passion for mentorship and developing talent within the team.
- Proactive and growth-oriented mindset—you identify opportunities for innovation rather than just responding to problems
