Senior Data Analyst, Envoy

• We're seeking an experienced data professional to accelerate our analytics capabilities and drive strategic decision-making across the organization
• You have exceptionally high standards for data quality and analytical rigor, understanding that trust in data is fundamental to business impact
• You're pragmatic about balancing perfection with delivery timelines, always striving for excellence while maintaining velocity
• You think systematically about data architecture, measurement frameworks, and end-to-end analytical processes
• You're an owner who takes personal accountability for outcomes and proactively identifies opportunities for improvement
• You thrive in fast-paced environments where your work directly impacts product decisions and business results
• You have strong product intuition and can translate complex analytical findings into actionable business recommendations
• You're passionate about continuous learning, staying current with emerging tools, methodologies, and industry best practices
• You're intellectually curious and eager to explore new analytical approaches and technologies
• You value feedback and actively seek opportunities to improve your craft
• You're emotionally intelligent and prioritize team success over individual recognition
• You excel at explaining complex analytical concepts to diverse audiences, from engineers to executives
• You're empathetic and supportive, particularly when mentoring junior team members
• Bachelor's degree in Statistics, Computer Science, Mathematics, Economics, Data Science, or related quantitative field
• 5+ years of experience in data analysis, business intelligence, or related roles
• Proven track record of influencing business strategy through data-driven insights
• Expert-level SQL proficiency with experience in modern data warehouses (Redshift,Postgres, Databricks)
• Advanced Python skills with deep knowledge of data science libraries (pandas, scikit-learn, numpy, matplotlib, seaborn)
• Experience with modern analytics tools such as dbt, Looker, Tableau, or similar. Hands-on expertise with dbt for building modular, version-controlled, and testable data transformation pipelines
• Proficiency in statistical analysis, hypothesis testing, and experimental design
• Working knowledge of version control (Git) and command-line tools
• Strong foundation in applied statistics, regression analysis, and machine learning
• Experience with A/B testing, causal inference, and experimental design
• Ability to create compelling data visualizations and interactive dashboards
• Experience with time series analysis and forecasting techniques

Desirable

• We are a data-driven organization that values analytical rigor, innovation, and collaborative impact
• Our team maintains high standards across our modern data stack, engineering practices, and analytical frameworks while fostering a culture of continuous learning and diverse perspectives
• You'll collaborate with product, marketing, sales, and engineering teams to deliver actionable insights, build predictive models, and influence key business decisions through data storytelling and evidence-based recommendations
• Our data platform is built on a modern stack including AWS Redshift, Apache Spark, AWS Glue, dbt, and Airflow for orchestration
• We leverage Looker and Databricks for analytics and exploration
• We're actively exploring real-time analytics solutions, MLOps tooling like SageMaker, MLflow, and Feature Stores, as well as incorporating generative AI use cases using LangChain, LLM APIs, and vector databases
• Strategic Analysis & Insights
• Partner with cross-functional teams to design and execute high-impact analytics projects that drive product strategy and business growth
• Develop sophisticated analyses using modern statistical methods, machine learning, and causal inference techniques
• Conduct deep-dive investigations into user behavior, product performance, and market trends
• Advanced Analytics & Modeling
• Build and deploy predictive models, recommendation systems, and forecasting solutions
• Design and implement robust A/B testing frameworks and analyze experimental results
• Create automated reporting dashboards and real-time monitoring systems
• Data Leadership & Strategy
• Influence product roadmap and business strategy through compelling data narratives and executive presentations
• Establish analytics best practices and data governance standards
• Mentor junior analysts and contribute to team knowledge sharing
• Innovation & Research
• Explore emerging analytics techniques, including generative AI applications for data analysis
• Evaluate and implement new tools and technologies to enhance analytical capabilities
• Contribute to our data science research initiatives and thought leadership