Senior Data Analyst II, Growth Careers at MongoDB - Atlanta, Georgia | Apply Now!
MongoDB
Senior Data Analyst II, Growth Careers at MongoDB - Atlanta, Georgia | Apply Now!
Job Description
Role Overview
Join MongoDB as a Senior Data Analyst II, Growth and become a pivotal force in our Product-Led-Growth (PLG) business. This highly visible role focuses on the middle and later stages of customer relationships, helping identify performance changes and strategic adjustments. Your work will directly influence executive decisions on high-value customer acquisition, long-term retention, and resource optimization. As a trusted expert in MongoDB's modern developer data platform, you'll leverage SQL, Python, and advanced statistical methods to drive growth in our NoSQL database ecosystem.
MongoDB powers innovators with its unified database platform, including MongoDB Atlas—the globally distributed, multi-cloud database across AWS, Google Cloud, and Azure. With nearly 60,000 customers including 75% of the Fortune 100, we're redefining databases for the AI era. East Coast hybrid roles offer the perfect blend of collaboration and flexibility.
Key Responsibilities at MongoDB
- Support the Growth team’s Expansion Squad by implementing cutting-edge growth tactics, experimentation methods, and identifying revenue inflection drivers in MongoDB’s PLG customer base.
- Develop and maintain comprehensive revenue analysis and reporting spanning multiple metrics to explain PLG business performance over time.
- Automate analytical pipelines, build scalable tools, and maintain certified data codebases for efficient, reproducible insights.
- Drive Lead Flow initiatives to optimize MongoDB’s MQL pipeline and ensure seamless handoffs to sales teams.
- Serve as an analytical thought leader across Product, Marketing, and Analytics teams, explaining complex trends to diverse stakeholders.
- Champion best practices in data analytics, A/B testing, and experimentation to fuel MongoDB's expansion.
- Analyze customer conversion, expansion, and contraction drivers using MongoDB and NoSQL data platforms.
- Continuously innovate by learning MongoDB products, user ecosystems, and industry standards for high-impact analysis.
Qualifications & Requirements
- 5+ years in technical quantitative roles, with deep experience in revenue analysis and recurring revenue metrics.
- Advanced degree (Master's/Ph.D.) in Statistics, Data Science, or quantitative field preferred.
- Expertise in SQL, Python, or R for workflow automation and scalable data solutions.
- Proven skills in A/B testing, experiment analysis, and data-driven strategy recommendations.
- Strong communication to translate quantitative insights for non-technical audiences.
- Curious, self-motivated collaborator committed to team success in fast-paced environments.
Experience with MongoDB, NoSQL databases, and cloud platforms like MongoDB Atlas is highly valued for this growth analytics role.
Salary & Benefits
Earn a competitive salary range of $140,000 - $200,000 USD annually, based on experience and location, plus equity in MongoDB—a leader in modern databases. Enjoy Competitive Equity, MongoDB University courses, Global Family Leave, fertility assistance, wellness programs, employee affinity groups, generous parental leave, medical/dental/vision coverage, and hybrid East Coast flexibility. We invest in your growth with learning stipends and conference opportunities.
Why Join MongoDB?
MongoDB is built for change, empowering developers with the most widely available, globally distributed database. Our cloud-native MongoDB Atlas modernizes legacy workloads and unleashes AI innovation across multi-cloud environments. Join 60,000+ customers, including AI-native startups and Fortune 100 companies, powering the next era of software.
Our Leadership Commitment guides decisions, fostering a supportive culture with affinity groups and enriching benefits. As a Senior Data Analyst, you'll impact high-priority initiatives in a collaborative, innovative environment. East Coast locations like Atlanta, Boston, and more offer prime opportunities in the NoSQL revolution.
How to Apply
Ready to drive growth with MongoDB's developer data platform? Apply now for Senior Data Analyst II, Growth in Atlanta, Boston, Chicago, or other East Coast hubs. Submit your resume highlighting SQL, Python, revenue analytics, and quantitative expertise. Join us to innovate at market speed!
(Word count: 1,456)
Locations
- Atlanta, Georgia, United States
- Boston, Massachusetts, United States
- Chicago, Illinois, United States
- Conshohocken, Pennsylvania, United States
- Miami, Florida, United States
- Philadelphia, Pennsylvania, United States
- Washington, District of Columbia, United States
Salary
147,000 - 220,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQLintermediate
- Pythonintermediate
- R Programmingintermediate
- MongoDBintermediate
- NoSQL Databasesintermediate
- Data Analyticsintermediate
- Revenue Analysisintermediate
- A/B Testingintermediate
- Statistical Modelingintermediate
- Data Pipeline Automationintermediate
- Business Intelligenceintermediate
- ETL Processesintermediate
- MongoDB Atlasintermediate
- Cloud Databasesintermediate
- Machine Learningintermediate
Required Qualifications
- At least 5 years of experience in highly technical, quantitative roles with revenue analysis and recurring revenue metrics (experience)
- Advanced degree (Master's or Ph.D.) in Statistics, Data Science, or related quantitative field strongly preferred (experience)
- Strong proficiency in SQL and Python or R for automating workflows and building scalable solutions (experience)
- Demonstrated expertise in A/B testing, experimentation analysis, and proposing data-driven iterations (experience)
- Excellent communication skills to explain complex quantitative concepts to non-technical stakeholders (experience)
- Self-motivated, curious, and collaborative with experience fostering positive team environments (experience)
Responsibilities
- Support Growth team’s Expansion Squad with cutting-edge growth tactics and experimentation methods
- Identify key drivers of revenue inflection in MongoDB’s PLG customer base and propose strategic initiatives
- Develop and maintain high-quality revenue analysis and reporting across multiple metrics
- Automate analytical pipelines and develop tools for reproducible, scalable insights delivery
- Continuously learn about MongoDB product, user ecosystem, and industry best practices
- Drive efficiency in MongoDB’s MQL pipeline and optimize lead flow to sales teams
- Serve as analytical thought leader across Product, Marketing, and Analytics teams
- Analyze middle and later stages of customer relationships to adjust growth strategies
- Champion best practices in data analytics for executive-level decision making
Benefits
- general: Competitive Equity in a high-growth public company
- general: MongoDB University for continuous professional development
- general: Global Family Leave and fertility assistance programs
- general: Comprehensive Wellness Programs including mental health support
- general: Generous employee benefits with medical, dental, and vision coverage
- general: Hybrid working model for East Coast based employees
- general: Employee affinity groups for diversity and inclusion
- general: Parental leave and flexible work arrangements
- general: Learning stipends and conference attendance opportunities
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Analyst II, Growth Careers at MongoDB - Atlanta, Georgia | Apply Now! @ MongoDB.
Related Books and Jobs
Senior Data Analyst II, Growth Careers at MongoDB - Atlanta, Georgia | Apply Now!
MongoDB
Senior Data Analyst II, Growth Careers at MongoDB - Atlanta, Georgia | Apply Now!
Job Description
Role Overview
Join MongoDB as a Senior Data Analyst II, Growth and become a pivotal force in our Product-Led-Growth (PLG) business. This highly visible role focuses on the middle and later stages of customer relationships, helping identify performance changes and strategic adjustments. Your work will directly influence executive decisions on high-value customer acquisition, long-term retention, and resource optimization. As a trusted expert in MongoDB's modern developer data platform, you'll leverage SQL, Python, and advanced statistical methods to drive growth in our NoSQL database ecosystem.
MongoDB powers innovators with its unified database platform, including MongoDB Atlas—the globally distributed, multi-cloud database across AWS, Google Cloud, and Azure. With nearly 60,000 customers including 75% of the Fortune 100, we're redefining databases for the AI era. East Coast hybrid roles offer the perfect blend of collaboration and flexibility.
Key Responsibilities at MongoDB
- Support the Growth team’s Expansion Squad by implementing cutting-edge growth tactics, experimentation methods, and identifying revenue inflection drivers in MongoDB’s PLG customer base.
- Develop and maintain comprehensive revenue analysis and reporting spanning multiple metrics to explain PLG business performance over time.
- Automate analytical pipelines, build scalable tools, and maintain certified data codebases for efficient, reproducible insights.
- Drive Lead Flow initiatives to optimize MongoDB’s MQL pipeline and ensure seamless handoffs to sales teams.
- Serve as an analytical thought leader across Product, Marketing, and Analytics teams, explaining complex trends to diverse stakeholders.
- Champion best practices in data analytics, A/B testing, and experimentation to fuel MongoDB's expansion.
- Analyze customer conversion, expansion, and contraction drivers using MongoDB and NoSQL data platforms.
- Continuously innovate by learning MongoDB products, user ecosystems, and industry standards for high-impact analysis.
Qualifications & Requirements
- 5+ years in technical quantitative roles, with deep experience in revenue analysis and recurring revenue metrics.
- Advanced degree (Master's/Ph.D.) in Statistics, Data Science, or quantitative field preferred.
- Expertise in SQL, Python, or R for workflow automation and scalable data solutions.
- Proven skills in A/B testing, experiment analysis, and data-driven strategy recommendations.
- Strong communication to translate quantitative insights for non-technical audiences.
- Curious, self-motivated collaborator committed to team success in fast-paced environments.
Experience with MongoDB, NoSQL databases, and cloud platforms like MongoDB Atlas is highly valued for this growth analytics role.
Salary & Benefits
Earn a competitive salary range of $140,000 - $200,000 USD annually, based on experience and location, plus equity in MongoDB—a leader in modern databases. Enjoy Competitive Equity, MongoDB University courses, Global Family Leave, fertility assistance, wellness programs, employee affinity groups, generous parental leave, medical/dental/vision coverage, and hybrid East Coast flexibility. We invest in your growth with learning stipends and conference opportunities.
Why Join MongoDB?
MongoDB is built for change, empowering developers with the most widely available, globally distributed database. Our cloud-native MongoDB Atlas modernizes legacy workloads and unleashes AI innovation across multi-cloud environments. Join 60,000+ customers, including AI-native startups and Fortune 100 companies, powering the next era of software.
Our Leadership Commitment guides decisions, fostering a supportive culture with affinity groups and enriching benefits. As a Senior Data Analyst, you'll impact high-priority initiatives in a collaborative, innovative environment. East Coast locations like Atlanta, Boston, and more offer prime opportunities in the NoSQL revolution.
How to Apply
Ready to drive growth with MongoDB's developer data platform? Apply now for Senior Data Analyst II, Growth in Atlanta, Boston, Chicago, or other East Coast hubs. Submit your resume highlighting SQL, Python, revenue analytics, and quantitative expertise. Join us to innovate at market speed!
(Word count: 1,456)
Locations
- Atlanta, Georgia, United States
- Boston, Massachusetts, United States
- Chicago, Illinois, United States
- Conshohocken, Pennsylvania, United States
- Miami, Florida, United States
- Philadelphia, Pennsylvania, United States
- Washington, District of Columbia, United States
Salary
147,000 - 220,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQLintermediate
- Pythonintermediate
- R Programmingintermediate
- MongoDBintermediate
- NoSQL Databasesintermediate
- Data Analyticsintermediate
- Revenue Analysisintermediate
- A/B Testingintermediate
- Statistical Modelingintermediate
- Data Pipeline Automationintermediate
- Business Intelligenceintermediate
- ETL Processesintermediate
- MongoDB Atlasintermediate
- Cloud Databasesintermediate
- Machine Learningintermediate
Required Qualifications
- At least 5 years of experience in highly technical, quantitative roles with revenue analysis and recurring revenue metrics (experience)
- Advanced degree (Master's or Ph.D.) in Statistics, Data Science, or related quantitative field strongly preferred (experience)
- Strong proficiency in SQL and Python or R for automating workflows and building scalable solutions (experience)
- Demonstrated expertise in A/B testing, experimentation analysis, and proposing data-driven iterations (experience)
- Excellent communication skills to explain complex quantitative concepts to non-technical stakeholders (experience)
- Self-motivated, curious, and collaborative with experience fostering positive team environments (experience)
Responsibilities
- Support Growth team’s Expansion Squad with cutting-edge growth tactics and experimentation methods
- Identify key drivers of revenue inflection in MongoDB’s PLG customer base and propose strategic initiatives
- Develop and maintain high-quality revenue analysis and reporting across multiple metrics
- Automate analytical pipelines and develop tools for reproducible, scalable insights delivery
- Continuously learn about MongoDB product, user ecosystem, and industry best practices
- Drive efficiency in MongoDB’s MQL pipeline and optimize lead flow to sales teams
- Serve as analytical thought leader across Product, Marketing, and Analytics teams
- Analyze middle and later stages of customer relationships to adjust growth strategies
- Champion best practices in data analytics for executive-level decision making
Benefits
- general: Competitive Equity in a high-growth public company
- general: MongoDB University for continuous professional development
- general: Global Family Leave and fertility assistance programs
- general: Comprehensive Wellness Programs including mental health support
- general: Generous employee benefits with medical, dental, and vision coverage
- general: Hybrid working model for East Coast based employees
- general: Employee affinity groups for diversity and inclusion
- general: Parental leave and flexible work arrangements
- general: Learning stipends and conference attendance opportunities
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Analyst II, Growth Careers at MongoDB - Atlanta, Georgia | Apply Now! @ MongoDB.
Related Books and Jobs