Senior Data Analyst
Menlo VenturesSan Francisco, CA, United Statesjob_description.job_card.variable_days_ago
serp_jobs.job_preview.job_type
- serp_jobs.job_card.full_time
job_description.job_card.job_descriptionPartner 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 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 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 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 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 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 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 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 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
Location
San Francisco, CA
Employment Type
Full time
Location Type
On-site
Department
Research & Development
Compensation
- San Francisco Bay Area — $162.5K – $180K
Envoy's compensation package includes a market-competitive salary, equity for all full-time roles, and excellent benefits. Final offers may vary within the provided range, depending on experience, expertise, and other factors.
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.
Learn more at 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
Advanced Analytics & Modeling
Data Leadership & Strategy
Innovation & Research
You are
Technical Excellence
Business Acumen
Growth Mindset
Collaboration & Communication
You have
Education & Experience
Technical Skills
Analytical Expertise
Bonus points
Advanced Technical Skills
Business & Leadership
Emerging Technologies
You'll get
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.
Compensation Range : $162.5K - $180K
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Senior Data Analyst • San Francisco, CA, United States
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