Senior Data Analyst, Growth Careers at MongoDB - New York City, New York | Apply Now!
MongoDB
Senior Data Analyst, Growth Careers at MongoDB - New York City, New York | Apply Now!
Job Description
Role Overview
Join MongoDB as a Senior Data Analyst, Growth and become a pivotal force in driving data-informed decisions across our cutting-edge modern developer data platform. Based in New York City, New York with fully remote flexibility, this role partners with Analytics, Growth, Marketing, Sales, and Product teams to surface key insights from massive MongoDB datasets. Harness advanced SQL, Python data analysis, A/B testing, and MongoDB Atlas to analyze user acquisition, activation, retention, and revenue impact. In this fast-paced environment, you'll build reusable analytical toolkits, optimize complex queries on NoSQL databases, and tell compelling data stories that shape MongoDB's growth strategy. Ideal for analytics professionals passionate about NoSQL databases, statistical modeling, and modern software engineering at a company powering the AI era.
Key Responsibilities at MongoDB
- Leverage statistical expertise to conduct high-impact analyses enabling agile business decisions using MongoDB data pipelines.
- Build and maintain reusable analytical libraries in Python/R integrated with MongoDB for team-wide efficiency.
- Write complex MongoDB aggregation queries and SQL for deep-dive analysis of growth initiatives on acquisition and retention.
- Surface executive-level insights from large-scale NoSQL datasets to drive strategic decision-making.
- Design, execute, and analyze A/B tests across MongoDB products to enhance user experience and boost revenue.
- Research and implement advanced tooling including MongoDB Atlas features to streamline analytics workflows.
- Automate manual processes with Python scripts and MongoDB change streams for operational efficiency.
- Act as technical thought partner across Analytics, Product, and Growth teams using data visualization in Tableau.
- Analyze raw MongoDB data to deliver actionable recommendations for product activation and user retention.
- Communicate complex findings to non-technical stakeholders through compelling data narratives and dashboards.
Qualifications & Requirements
To succeed as a Senior Data Analyst, Growth at MongoDB, you'll need:
- 3+ years hands-on analytics experience, preferably in software/SaaS with NoSQL experience.
- Advanced SQL and MongoDB query skills for manipulating very large, distributed datasets.
- Expertise in A/B testing and statistical methods including hypothesis testing and confidence intervals.
- Strong Python or R proficiency focused on pandas, NumPy, scikit-learn for data wrangling and ML.
- Extensive Tableau experience (or Looker/Tableau equivalent) for interactive dashboard creation.
- Proven ability to transform raw MongoDB data into business recommendations.
- Excellent stakeholder communication skills and comfort with ambiguity in fast-paced settings.
Salary & Benefits
The estimated salary range for Senior Data Analyst, Growth roles at MongoDB in New York City is $135,000 - $185,000 USD annually, plus competitive equity. MongoDB offers exceptional perks including:
- Competitive Equity packages with MongoDB stock options.
- MongoDB University access for certifications and skill-building.
- Global Family Leave and fertility assistance programs.
- Wellness Programs with mental health and fitness stipends.
- Employee affinity groups fostering psychological safety.
- Fully remote work with flexible PTO.
- Learning stipends for MongoDB Atlas and data science courses.
Why Join MongoDB?
MongoDB is the modern developer data platform redefining databases for the AI era. Our cloud-native MongoDB Atlas is the world's most widely available, globally distributed, multi-cloud database across AWS, Google Cloud, and Azure. Powering 75% of Fortune 100 and AI-native startups, MongoDB enables innovation at market speed. As a Senior Data Analyst, Growth, you'll work with massive datasets from nearly 60,000 customers, leveraging NoSQL advantages for flexible schemas and horizontal scaling. Our Leadership Commitment fosters collaboration, growth, and impact. Join a supportive culture with affinity groups, generous benefits, and opportunities to shape the future of software through data-driven growth strategies. Experience working at the forefront of document databases, real-time analytics, and AI workloads.
With offices worldwide and a commitment to employee wellbeing, MongoDB provides accommodations for disabilities and equal opportunity employment. Be part of powering the next era of software development.
How to Apply
Ready to drive growth at MongoDB? Apply now for the Senior Data Analyst, Growth position in New York City (Remote). Submit your resume highlighting SQL, Python, A/B testing, and MongoDB experience. Join thousands of developers and data professionals building the future with the most innovative NoSQL database platform. Don't miss this chance to analyze real-world impact at scale—apply today!
Locations
- New York City, New York, United States (Remote)
Salary
141,750 - 203,500 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Advanced SQLintermediate
- Python for Data Analysisintermediate
- R Programmingintermediate
- A/B Testingintermediate
- Statistical Analysisintermediate
- MongoDB Query Languageintermediate
- NoSQL Databasesintermediate
- Data Visualization Tableauintermediate
- Machine Learning Librariesintermediate
- Big Data Manipulationintermediate
- MongoDB Atlasintermediate
- Data Wranglingintermediate
- AB Testing Experimentsintermediate
- Complex Query Optimizationintermediate
- Analytical Toolkitsintermediate
Required Qualifications
- 3+ years of hands-on analytics experience, ideally at a software company (experience)
- Advanced SQL skills, comfortable manipulating very large datasets (experience)
- Strong proficiency and hands-on experience in A/B Testing or equivalent statistical knowledge (experience)
- Proficient in Python or R with a strong focus on data wrangling, data analysis, and machine-learning libraries (experience)
- Extensive experience with Tableau or another leading visualization tool (experience)
- Demonstrated ability to effectively communicate technical concepts to non-technical audiences (experience)
- Ability to query, transform and analyze raw data from MongoDB, draw conclusions, and develop actionable recommendations (experience)
Responsibilities
- Leverage deep understanding of statistics to conduct analyses that help partner teams make quicker, more informed decisions
- Build, publish, and maintain reusable analytical toolkits or libraries using Python and MongoDB data
- Write and maintain complex SQL and MongoDB queries for deep-dive analyses on growth initiatives impact
- Surface key insights to drive executive decision making across Analytics, Growth, and Product teams
- Partner with Growth teams to design, execute, and analyze A/B testing experiments across MongoDB products
- Research and implement new tooling and processes to make the analytics team more efficient
- Automate existing costly manual processes using Python scripting and MongoDB aggregation pipelines
- Serve as an analytical and technical thought partner to stakeholders across multiple functional areas
- Analyze user acquisition, product activation, and retention metrics using MongoDB datasets
- Communicate data stories effectively to non-technical stakeholders to influence business strategy
Benefits
- general: Competitive Equity in MongoDB stock options
- general: MongoDB University for continuous professional development
- general: Global Family Leave policy with generous parental support
- general: Fertility assistance and family planning benefits
- general: Wellness Programs including mental health support
- general: Employee affinity groups for inclusive community
- general: Fully remote work flexibility worldwide
- general: Comprehensive health insurance and wellness stipends
- general: Learning stipends for certifications like MongoDB Developer
- general: Generous PTO and flexible work culture
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Analyst, Growth Careers at MongoDB - New York City, New York | Apply Now! @ MongoDB.
Related Books and Jobs
Senior Data Analyst, Growth Careers at MongoDB - New York City, New York | Apply Now!
MongoDB
Senior Data Analyst, Growth Careers at MongoDB - New York City, New York | Apply Now!
Job Description
Role Overview
Join MongoDB as a Senior Data Analyst, Growth and become a pivotal force in driving data-informed decisions across our cutting-edge modern developer data platform. Based in New York City, New York with fully remote flexibility, this role partners with Analytics, Growth, Marketing, Sales, and Product teams to surface key insights from massive MongoDB datasets. Harness advanced SQL, Python data analysis, A/B testing, and MongoDB Atlas to analyze user acquisition, activation, retention, and revenue impact. In this fast-paced environment, you'll build reusable analytical toolkits, optimize complex queries on NoSQL databases, and tell compelling data stories that shape MongoDB's growth strategy. Ideal for analytics professionals passionate about NoSQL databases, statistical modeling, and modern software engineering at a company powering the AI era.
Key Responsibilities at MongoDB
- Leverage statistical expertise to conduct high-impact analyses enabling agile business decisions using MongoDB data pipelines.
- Build and maintain reusable analytical libraries in Python/R integrated with MongoDB for team-wide efficiency.
- Write complex MongoDB aggregation queries and SQL for deep-dive analysis of growth initiatives on acquisition and retention.
- Surface executive-level insights from large-scale NoSQL datasets to drive strategic decision-making.
- Design, execute, and analyze A/B tests across MongoDB products to enhance user experience and boost revenue.
- Research and implement advanced tooling including MongoDB Atlas features to streamline analytics workflows.
- Automate manual processes with Python scripts and MongoDB change streams for operational efficiency.
- Act as technical thought partner across Analytics, Product, and Growth teams using data visualization in Tableau.
- Analyze raw MongoDB data to deliver actionable recommendations for product activation and user retention.
- Communicate complex findings to non-technical stakeholders through compelling data narratives and dashboards.
Qualifications & Requirements
To succeed as a Senior Data Analyst, Growth at MongoDB, you'll need:
- 3+ years hands-on analytics experience, preferably in software/SaaS with NoSQL experience.
- Advanced SQL and MongoDB query skills for manipulating very large, distributed datasets.
- Expertise in A/B testing and statistical methods including hypothesis testing and confidence intervals.
- Strong Python or R proficiency focused on pandas, NumPy, scikit-learn for data wrangling and ML.
- Extensive Tableau experience (or Looker/Tableau equivalent) for interactive dashboard creation.
- Proven ability to transform raw MongoDB data into business recommendations.
- Excellent stakeholder communication skills and comfort with ambiguity in fast-paced settings.
Salary & Benefits
The estimated salary range for Senior Data Analyst, Growth roles at MongoDB in New York City is $135,000 - $185,000 USD annually, plus competitive equity. MongoDB offers exceptional perks including:
- Competitive Equity packages with MongoDB stock options.
- MongoDB University access for certifications and skill-building.
- Global Family Leave and fertility assistance programs.
- Wellness Programs with mental health and fitness stipends.
- Employee affinity groups fostering psychological safety.
- Fully remote work with flexible PTO.
- Learning stipends for MongoDB Atlas and data science courses.
Why Join MongoDB?
MongoDB is the modern developer data platform redefining databases for the AI era. Our cloud-native MongoDB Atlas is the world's most widely available, globally distributed, multi-cloud database across AWS, Google Cloud, and Azure. Powering 75% of Fortune 100 and AI-native startups, MongoDB enables innovation at market speed. As a Senior Data Analyst, Growth, you'll work with massive datasets from nearly 60,000 customers, leveraging NoSQL advantages for flexible schemas and horizontal scaling. Our Leadership Commitment fosters collaboration, growth, and impact. Join a supportive culture with affinity groups, generous benefits, and opportunities to shape the future of software through data-driven growth strategies. Experience working at the forefront of document databases, real-time analytics, and AI workloads.
With offices worldwide and a commitment to employee wellbeing, MongoDB provides accommodations for disabilities and equal opportunity employment. Be part of powering the next era of software development.
How to Apply
Ready to drive growth at MongoDB? Apply now for the Senior Data Analyst, Growth position in New York City (Remote). Submit your resume highlighting SQL, Python, A/B testing, and MongoDB experience. Join thousands of developers and data professionals building the future with the most innovative NoSQL database platform. Don't miss this chance to analyze real-world impact at scale—apply today!
Locations
- New York City, New York, United States (Remote)
Salary
141,750 - 203,500 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Advanced SQLintermediate
- Python for Data Analysisintermediate
- R Programmingintermediate
- A/B Testingintermediate
- Statistical Analysisintermediate
- MongoDB Query Languageintermediate
- NoSQL Databasesintermediate
- Data Visualization Tableauintermediate
- Machine Learning Librariesintermediate
- Big Data Manipulationintermediate
- MongoDB Atlasintermediate
- Data Wranglingintermediate
- AB Testing Experimentsintermediate
- Complex Query Optimizationintermediate
- Analytical Toolkitsintermediate
Required Qualifications
- 3+ years of hands-on analytics experience, ideally at a software company (experience)
- Advanced SQL skills, comfortable manipulating very large datasets (experience)
- Strong proficiency and hands-on experience in A/B Testing or equivalent statistical knowledge (experience)
- Proficient in Python or R with a strong focus on data wrangling, data analysis, and machine-learning libraries (experience)
- Extensive experience with Tableau or another leading visualization tool (experience)
- Demonstrated ability to effectively communicate technical concepts to non-technical audiences (experience)
- Ability to query, transform and analyze raw data from MongoDB, draw conclusions, and develop actionable recommendations (experience)
Responsibilities
- Leverage deep understanding of statistics to conduct analyses that help partner teams make quicker, more informed decisions
- Build, publish, and maintain reusable analytical toolkits or libraries using Python and MongoDB data
- Write and maintain complex SQL and MongoDB queries for deep-dive analyses on growth initiatives impact
- Surface key insights to drive executive decision making across Analytics, Growth, and Product teams
- Partner with Growth teams to design, execute, and analyze A/B testing experiments across MongoDB products
- Research and implement new tooling and processes to make the analytics team more efficient
- Automate existing costly manual processes using Python scripting and MongoDB aggregation pipelines
- Serve as an analytical and technical thought partner to stakeholders across multiple functional areas
- Analyze user acquisition, product activation, and retention metrics using MongoDB datasets
- Communicate data stories effectively to non-technical stakeholders to influence business strategy
Benefits
- general: Competitive Equity in MongoDB stock options
- general: MongoDB University for continuous professional development
- general: Global Family Leave policy with generous parental support
- general: Fertility assistance and family planning benefits
- general: Wellness Programs including mental health support
- general: Employee affinity groups for inclusive community
- general: Fully remote work flexibility worldwide
- general: Comprehensive health insurance and wellness stipends
- general: Learning stipends for certifications like MongoDB Developer
- general: Generous PTO and flexible work culture
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Analyst, Growth Careers at MongoDB - New York City, New York | Apply Now! @ MongoDB.
Related Books and Jobs