Staff Data Analyst, Growth Careers at MongoDB - New York City, New York | Apply Now!
MongoDB
Staff Data Analyst, Growth Careers at MongoDB - New York City, New York | Apply Now!
Job Description
Role Overview
Join MongoDB as a Staff Data Analyst, Growth in New York City and lead the charge in data-driven innovation. MongoDB, the modern developer data platform powering the AI era, seeks a statistical powerhouse to uncover causal relationships, optimize growth strategies, and scale experiment infrastructure. Using MongoDB Atlas, our cloud-native NoSQL database, you'll design advanced experiments, automate pipelines, and deliver insights that drive user acquisition, activation, and retention at scale.
This hybrid role in New York City demands expertise in Python, R, SQL, and MongoDB to handle complex analyses addressing skewness, kurtosis, and causal inference. Become the go-to expert for interpreting experiments and championing best practices in a fast-paced environment. With nearly 60,000 customers including 75% of Fortune 100, MongoDB is redefining databases for AI-native applications across AWS, Google Cloud, and Azure.
Key Responsibilities at MongoDB
- Surface actionable insights from MongoDB datasets to drive executive decisions across product, growth, and marketing.
- Apply advanced statistical methods for causal inference in user growth initiatives using MongoDB's aggregation framework.
- Design sophisticated experiments beyond A/B testing, leveraging MongoDB Atlas for scalable accuracy.
- Automate analytical pipelines with Python, R, and SQL integrated into MongoDB for reproducibility.
- Develop dashboards and reporting tools powered by MongoDB to enable real-time decision-making.
- Maintain scalable data codebases in MongoDB ensuring efficiency and team-wide adoption.
- Innovate with new tooling, automating manual processes to boost team productivity.
- Lead cross-functionally as a thought leader, explaining complex analytics to non-technical stakeholders.
- Champion MongoDB best practices in NoSQL analytics for growth optimization.
Qualifications & Requirements
- 7+ years in analytics, 5+ with growth/product teams using tools like MongoDB.
- Master's/Ph.D. in Statistics, Data Science, or quantitative field.
- Expertise in causal inference, experiment design, handling distributional challenges.
- Strong Python, R, SQL proficiency; experience building MongoDB-powered workflows.
- Proven track record creating reusable analytical tools/packages with NoSQL integration.
- Exceptional communication to translate quantitative insights for diverse audiences.
MongoDB values curiosity, collaboration, and technical excellence. NYC-based candidates preferred for hybrid model.
Salary & Benefits
Earn $180,000 - $250,000 USD base salary (market estimate) plus competitive equity. MongoDB offers unmatched perks:
- Competitive Equity in a high-growth public company.
- Wellness Programs and mental health support.
- MongoDB University for skill-building in NoSQL and AI.
- Global Family Leave and generous parental policies.
- Fertility assistance and affinity groups.
- Hybrid NYC office with top-tier health benefits.
Why Join MongoDB?
MongoDB is the most widely available globally distributed database, powering AI disruption across industries. Our Leadership Commitment fosters innovation, wellbeing, and impact. Work with 60,000 customers, including AI startups and Fortune 100 leaders. Build on MongoDB Atlas, the multi-cloud leader on AWS, GCP, Azure. Enjoy a supportive culture with employee resource groups, professional growth, and the tools to unleash your potential in modern data engineering.
From modernizing legacy workloads to embracing AI, MongoDB empowers innovators. Join us to shape the next era of software with NoSQL excellence.
How to Apply
Ready to drive growth at MongoDB? Apply now for the Staff Data Analyst, Growth role in New York City. Submit your resume highlighting MongoDB, Python, and causal inference experience. We prioritize NYC-based talent for hybrid work. Don't miss this chance to scale analytics with the world's leading developer data platform!
Locations
- New York City, New York, United States
Salary
189,000 - 275,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- R Programmingintermediate
- SQLintermediate
- MongoDBintermediate
- NoSQL Databasesintermediate
- Causal Inferenceintermediate
- A/B Testingintermediate
- Statistical Analysisintermediate
- Data Pipelinesintermediate
- Experiment Designintermediate
- Dashboard Developmentintermediate
- Automation Workflowsintermediate
- Scalable Analyticsintermediate
- Atlas Searchintermediate
- Aggregation Frameworkintermediate
Required Qualifications
- 7+ years of experience in analytics roles, with at least 5 years working closely with growth or product teams (experience)
- Advanced degree (Master's or Ph.D.) in Statistics, Data Science, or a related quantitative field strongly preferred (experience)
- Proficient in statistical methods for causal inference and applied analytics, with experience designing and interpreting complex experiments (experience)
- Strong skills in Python, R, and SQL, with proven ability to automate workflows and build scalable solutions using MongoDB (experience)
- Experience converting analytical workflows into reusable tools or packages, leveraging NoSQL databases like MongoDB for efficiency (experience)
- Excellent communication skills to explain complex quantitative concepts to diverse audiences including non-technical stakeholders (experience)
Responsibilities
- Surface insights to drive executive decision making across MongoDB's business using MongoDB Atlas data
- Apply advanced statistical techniques to identify causal relationships for user acquisition, activation, and retention
- Design and analyze experiments beyond basic A/B testing with MongoDB-powered scalable methodologies
- Automate analytical pipelines and develop reporting tools with MongoDB aggregation framework
- Maintain certified data codebases in MongoDB for reproducibility, scalability, and efficiency
- Continuously learn about MongoDB products, user ecosystem, and industry best practices
- Research and implement new tooling/processes; automate manual processes using Python and MongoDB
- Serve as analytical thought leader for stakeholders across analytics, marketing, and growth teams
- Leverage MongoDB's NoSQL capabilities to optimize growth strategies at scale
Benefits
- general: Competitive Equity packages
- general: Wellness Programs including mental health support
- general: MongoDB University for continuous learning
- general: Global Family Leave policy
- general: Generous parental leave
- general: Fertility assistance benefits
- general: Employee affinity groups
- general: Hybrid working model in New York City
- general: Comprehensive health insurance
- general: Professional development stipend
Tags & Categories
Answer 10 quick questions to check your fit for Staff Data Analyst, Growth Careers at MongoDB - New York City, New York | Apply Now! @ MongoDB.
Related Books and Jobs
Staff Data Analyst, Growth Careers at MongoDB - New York City, New York | Apply Now!
MongoDB
Staff Data Analyst, Growth Careers at MongoDB - New York City, New York | Apply Now!
Job Description
Role Overview
Join MongoDB as a Staff Data Analyst, Growth in New York City and lead the charge in data-driven innovation. MongoDB, the modern developer data platform powering the AI era, seeks a statistical powerhouse to uncover causal relationships, optimize growth strategies, and scale experiment infrastructure. Using MongoDB Atlas, our cloud-native NoSQL database, you'll design advanced experiments, automate pipelines, and deliver insights that drive user acquisition, activation, and retention at scale.
This hybrid role in New York City demands expertise in Python, R, SQL, and MongoDB to handle complex analyses addressing skewness, kurtosis, and causal inference. Become the go-to expert for interpreting experiments and championing best practices in a fast-paced environment. With nearly 60,000 customers including 75% of Fortune 100, MongoDB is redefining databases for AI-native applications across AWS, Google Cloud, and Azure.
Key Responsibilities at MongoDB
- Surface actionable insights from MongoDB datasets to drive executive decisions across product, growth, and marketing.
- Apply advanced statistical methods for causal inference in user growth initiatives using MongoDB's aggregation framework.
- Design sophisticated experiments beyond A/B testing, leveraging MongoDB Atlas for scalable accuracy.
- Automate analytical pipelines with Python, R, and SQL integrated into MongoDB for reproducibility.
- Develop dashboards and reporting tools powered by MongoDB to enable real-time decision-making.
- Maintain scalable data codebases in MongoDB ensuring efficiency and team-wide adoption.
- Innovate with new tooling, automating manual processes to boost team productivity.
- Lead cross-functionally as a thought leader, explaining complex analytics to non-technical stakeholders.
- Champion MongoDB best practices in NoSQL analytics for growth optimization.
Qualifications & Requirements
- 7+ years in analytics, 5+ with growth/product teams using tools like MongoDB.
- Master's/Ph.D. in Statistics, Data Science, or quantitative field.
- Expertise in causal inference, experiment design, handling distributional challenges.
- Strong Python, R, SQL proficiency; experience building MongoDB-powered workflows.
- Proven track record creating reusable analytical tools/packages with NoSQL integration.
- Exceptional communication to translate quantitative insights for diverse audiences.
MongoDB values curiosity, collaboration, and technical excellence. NYC-based candidates preferred for hybrid model.
Salary & Benefits
Earn $180,000 - $250,000 USD base salary (market estimate) plus competitive equity. MongoDB offers unmatched perks:
- Competitive Equity in a high-growth public company.
- Wellness Programs and mental health support.
- MongoDB University for skill-building in NoSQL and AI.
- Global Family Leave and generous parental policies.
- Fertility assistance and affinity groups.
- Hybrid NYC office with top-tier health benefits.
Why Join MongoDB?
MongoDB is the most widely available globally distributed database, powering AI disruption across industries. Our Leadership Commitment fosters innovation, wellbeing, and impact. Work with 60,000 customers, including AI startups and Fortune 100 leaders. Build on MongoDB Atlas, the multi-cloud leader on AWS, GCP, Azure. Enjoy a supportive culture with employee resource groups, professional growth, and the tools to unleash your potential in modern data engineering.
From modernizing legacy workloads to embracing AI, MongoDB empowers innovators. Join us to shape the next era of software with NoSQL excellence.
How to Apply
Ready to drive growth at MongoDB? Apply now for the Staff Data Analyst, Growth role in New York City. Submit your resume highlighting MongoDB, Python, and causal inference experience. We prioritize NYC-based talent for hybrid work. Don't miss this chance to scale analytics with the world's leading developer data platform!
Locations
- New York City, New York, United States
Salary
189,000 - 275,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- R Programmingintermediate
- SQLintermediate
- MongoDBintermediate
- NoSQL Databasesintermediate
- Causal Inferenceintermediate
- A/B Testingintermediate
- Statistical Analysisintermediate
- Data Pipelinesintermediate
- Experiment Designintermediate
- Dashboard Developmentintermediate
- Automation Workflowsintermediate
- Scalable Analyticsintermediate
- Atlas Searchintermediate
- Aggregation Frameworkintermediate
Required Qualifications
- 7+ years of experience in analytics roles, with at least 5 years working closely with growth or product teams (experience)
- Advanced degree (Master's or Ph.D.) in Statistics, Data Science, or a related quantitative field strongly preferred (experience)
- Proficient in statistical methods for causal inference and applied analytics, with experience designing and interpreting complex experiments (experience)
- Strong skills in Python, R, and SQL, with proven ability to automate workflows and build scalable solutions using MongoDB (experience)
- Experience converting analytical workflows into reusable tools or packages, leveraging NoSQL databases like MongoDB for efficiency (experience)
- Excellent communication skills to explain complex quantitative concepts to diverse audiences including non-technical stakeholders (experience)
Responsibilities
- Surface insights to drive executive decision making across MongoDB's business using MongoDB Atlas data
- Apply advanced statistical techniques to identify causal relationships for user acquisition, activation, and retention
- Design and analyze experiments beyond basic A/B testing with MongoDB-powered scalable methodologies
- Automate analytical pipelines and develop reporting tools with MongoDB aggregation framework
- Maintain certified data codebases in MongoDB for reproducibility, scalability, and efficiency
- Continuously learn about MongoDB products, user ecosystem, and industry best practices
- Research and implement new tooling/processes; automate manual processes using Python and MongoDB
- Serve as analytical thought leader for stakeholders across analytics, marketing, and growth teams
- Leverage MongoDB's NoSQL capabilities to optimize growth strategies at scale
Benefits
- general: Competitive Equity packages
- general: Wellness Programs including mental health support
- general: MongoDB University for continuous learning
- general: Global Family Leave policy
- general: Generous parental leave
- general: Fertility assistance benefits
- general: Employee affinity groups
- general: Hybrid working model in New York City
- general: Comprehensive health insurance
- general: Professional development stipend
Tags & Categories
Answer 10 quick questions to check your fit for Staff Data Analyst, Growth Careers at MongoDB - New York City, New York | Apply Now! @ MongoDB.
Related Books and Jobs