Responsibilities
- Cross-functional Collaboration & Communication: - Collaborate with cross-functional stakeholders, developing a deep business understanding and supporting synergy across the organization. - Communicate effectively with non-technical stakeholders. - Partner closely with the Customer Success team to provide data-driven insights and support decision-making processes.
- End-to-end Analytics: - Deep-Dive Analysis: Conduct exploratory data analysis and analytical investigations to diagnose metric shifts and uncover actionable trends in customer behavior. - Applied Modeling: Develop practical predictive models (e.g., churn or upsell forecasting) that directly inform and optimize Customer Success workflows. - Impact Measurement: Apply basic causal inference and experimentation methodologies to evaluate the true business impact of Customer Success initiatives and product changes. - Self-Serve Engineering: Build and modify foundational data pipelines and simple dashboards when needed to unblock analyses, partnering with core Data Engineering and BI teams for scalable infrastructure.
- Operational Excellence: - Optimize data workflows and contribute to data quality, stepping in to self-serve data extraction and transformation tasks when necessary. - Contribute to the establishment and maintenance of Key Performance Indicators (KPIs) for customer success, leveraging descriptive and diagnostic analytics to drive actionable insights.
- Revenue Growth: - Utilize deep-dive analysis and pragmatic modeling to assist in monitoring renewals and identify leading indicators of risk and opportunity. - Support ongoing analysis of customer retention, churn, and revenue trends, leveraging both foundational analytics and statistical methods to identify opportunities for growth.
- Analytical Support and Proactive Insights: - Evaluate business performance to identify the root causes of metric shifts, providing proactive data-driven insights to stakeholders. - Assist in making recommendations to improve business productivity and performance, selecting the right analytical tool—from simple SQL aggregations to statistical modeling—to mitigate risks. - Develop AI/LLM-powered solutions to support CS stakeholders.
- Customer Success Collaboration: - Work directly with stakeholders in the Customer Success team to create data stories that lead to customer retention and upsell opportunities.
Requirements
- Bachelor’s degree or higher in a related field, with a focus on data science, statistics, or a related quantitative discipline.
- 3-5 years of relevant experience in data science, with a demonstrated ability to conduct deep-dive analyses, diagnose metric shifts, and apply pragmatic modeling techniques to drive business impact.
- Proficiency in applied statistics and practical machine learning, with knowledge of causal inference, experimentation (A/B testing), forecasting, and regression.
- Advanced proficiency in SQL for complex data extraction and manipulation, alongside a working knowledge of data pipelining tools (e.g., dbt, Airflow) to self-serve when necessary.
- Proficiency in programming languages such as Python for data analysis, automation, and modeling.
- Working knowledge of Business Intelligence tools (e.g., Tableau, Sigma), with a strong understanding of best practices for dashboarding and data visualization to communicate insights.
- Hands-on experience designing and deploying AI/LLM-based solutions.
- Strong communication skills, with the ability to convey complex concepts clearly and effectively to stakeholders.
- Strong organizational skills, with the ability to manage multiple projects and deadlines effectively.
- A tech-curious mindset with a willingness to learn new technologies and methodologies to stay at the forefront of data science innovation.
Benefits
- bonus program
- equity in the form of RSU’s
Work Arrangement
Remote (Worldwide)
Additional Information
- We’re a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones — creating opportunities for teams to do their best work together.
- Our virtual hiring and onboarding experience makes it easy to join us and start making an impact from anywhere.
