Envoy Inc.
Envoy builds workspace management technology that makes it simple to run secure, compliant, and connected workplaces across every location. Over 16,000 workplaces and properties around the world rely on Envoy to create great experiences for employees and visitors while meeting safety, security, and compliance needs at scale. From corporate headquarters and labs to manufacturing sites, Envoy powers the places where people work best together.
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envoy.com 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
High degree of autonomy and trust in your analytical judgment
Direct impact on product strategy and business outcomes
Mentorship opportunities and career development support
Collaborative environment with talented, diverse team members
Opportunity to shape the future of workplace technology through data
If you have any questions related to compensation, please contact Recruiting after you apply. #LI-HYBRID By applying for this position, you acknowledge that you have fully read and understand the job requirements and received the Envoy Privacy Notice for applicants, which is linked
here
. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Envoy to process your application. Envoy is an EEO Employer and does not discriminate on the basis of any characteristic protected by local, state or federal law.
#J-18808-Ljbffr
envoy.com 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
High degree of autonomy and trust in your analytical judgment
Direct impact on product strategy and business outcomes
Mentorship opportunities and career development support
Collaborative environment with talented, diverse team members
Opportunity to shape the future of workplace technology through data
If you have any questions related to compensation, please contact Recruiting after you apply. #LI-HYBRID By applying for this position, you acknowledge that you have fully read and understand the job requirements and received the Envoy Privacy Notice for applicants, which is linked
here
. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Envoy to process your application. Envoy is an EEO Employer and does not discriminate on the basis of any characteristic protected by local, state or federal law.
#J-18808-Ljbffr