Responsibilities
- Create and deploy statistically sound causal analyses to assess how product changes affect user behavior, engagement, and business results
- Build and sustain frameworks that connect product actions to changes in user activity, engagement trends, and organizational performance
- Choose and apply suitable experimental and observational techniques, using regression or machine learning methods as needed to address confounding variables and heterogeneity
- Confirm causal conclusions through thorough robustness and sensitivity testing, clearly stating assumptions and limitations
- Convert analytical findings into practical guidance that shapes product direction, marketing strategies, and leadership decisions
- Build reproducible, scalable analytical workflows and notebooks ready for production deployment
- Work with product and cross-functional teams to define engagement and effectiveness metrics for product features that align with business goals
- Integrate model-generated signals—such as predicted engagement, risk scores, or uplift estimates—into performance tracking systems to enhance measurement accuracy
- Establish testing, documentation, and version control processes to ensure metric definitions are accurate and consistently understood
- Keep comprehensive metric documentation and metadata to enable self-service analytics and broad team access
- Design and deliver clear, insightful visualizations in Looker and Databricks that communicate data and model outputs without needing additional context
- Ensure visual outputs are intuitive, focused on decision support, and follow established best practices in data visualization
- Apply generative AI tools to visualization and analytics assets when appropriate to enhance understanding and adoption across teams
- Support visualization governance by implementing CI/CD pipelines, validation steps, and approval workflows to maintain dashboard quality and consistency before release
Benefits
- Values diversity and actively seeks candidates from varied backgrounds
- Focuses on bringing new viewpoints to the team and creating growth-oriented employee experiences
- Committed to supporting the needs of individuals with disabilities
- Accepts accommodation requests via accessibility@tonal.com
Responsibilities
- Design, implement, and productionalize statistically rigorous causal analyses to quantify the impact of product features on user behaviors, engagement metrics, and downstream business outcomes
- Develop and maintain causal frameworks that link product interventions to behavioral change, engagement shifts, and business performance
- Select and apply appropriate experimental and observational methods, leveraging regression- and ML-based approaches where appropriate to control for confounding and heterogeneity
- Validate causal findings through robustness checks, sensitivity analyses, and clear articulation of assumptions and limitations
- Translate results into clear, actionable recommendations that inform product strategy, marketing decisions, and executive-level prioritization
- Develop analytical notebooks and workflows that are reproducible, scalable, and suitable for deployment in production environments
- Partner with product and cross-functional stakeholders to define feature-level engagement and efficacy KPIs aligned with business objectives
- Incorporate model-derived signals (e.g., predicted engagement, risk scores, uplift estimates) into KPI frameworks where appropriate to improve measurement and decision-making
- Implement testing, documentation, and versioning practices to ensure KPI definitions are reliable, discoverable, and consistently interpreted
- Maintain metric documentation and metadata to support self-service analytics and cross-functional consumption
- Design and deliver high-quality visualizations in Looker and Databricks that clearly communicate analytical and ML-driven insights without requiring supplemental explanation
- Ensure visual outputs are intuitive, decision-oriented, and aligned with established data visualization best practices
- Incorporate generative AI capabilities into visualization and analytics assets where appropriate to improve interpretability and cross-functional adoption
- Support visualization governance by implementing CI/CD workflows, validation checks, and approval processes to ensure production dashboards meet quality and consistency standards prior to release
Benefits
- Tonal celebrates differences and seeks people from a wide variety of backgrounds
- Dedicated to adding new perspectives to the team and designing employee experiences that contribute to your growth
- Committed to meeting the diverse needs of people with disabilities
- Accommodation requests can be sent to accessibility@tonal.com
