About the Role

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.

We're seeking an experienced data professional to accelerate our analytics capabilities and drive strategic decision-making across the organization. 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.

This is an on-site position that requires 4 days a week (Monday-Thursday) in our San Francisco HQ.

You will

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

You are

Technical Excellence

• 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

Business Acumen

• 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

Growth Mindset

• 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

Collaboration & Communication

• 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

You have

Education & Experience

• 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

Technical Skills

• 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

Analytical Expertise

• 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

Bonus points 

Advanced Technical Skills

• Experience with cloud platforms including AWS (preferred), GCP, and Azure, with a strong understanding of modern data infrastructure and services.
• Knowledge of machine learning operations (MLOps) and model deployment
• Familiarity with real-time analytics and streaming data processing

Business & Leadership

• Track record of success in fast-paced startup or scale-up environments
• Experience leading cross-functional analytics projects
• Background in product analytics, growth metrics, or business intelligence
• Experience with modern experimentation platforms and statistical methods

Emerging Technologies

• Familiarity with generative AI tools and their applications in data analysis
• Experience with automated reporting and self-service analytics platforms
• Knowledge of data mesh architectures and modern data governance frameworks

You'll get

Compensation description 

Envoy's compensation package includes a market-competitive salary, equity for all full-time roles, and excellent benefits. If you are located in the San Francisco Bay Area, our expected cash compensation for this role is $162,500-$180,000 (Annually). Final offers may vary within the provided range, depending on experience, expertise, and other factors. 

If you have any questions related to compensation, please get in touch with Recruiting after you apply.

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