Staff Product Analyst at MongoDB
Seattle, WA 98101
About the Job
Staff Product Analyst/Statistician (Insights pillar)The Staff Product Analyst, Product Insights will operate similar to a Statistician, and play a meaningful role in helping create clarity around our product usage trends
The work in the Product Insights pillar will be cross-cutting and focused on developing a deeper understanding of our product and feature utilization on consumption and other core business metrics
This role requires someone with strong analytical, technical, and statistical skills, and who is comfortable partnering with stakeholders at all levels of the organization and across multiple functional areas in a fast-paced, challenging environment.ResponsibilitiesDevelop a deep understanding of what types of features and products customers are using across different stages of their MongoDB lifecycle, find pain points, and construct sophisticated statistical models to provide actionable recommendations that improve the customer experienceBroaden our view into attribution by product feature via causal inference models, better identifying health (regression detection, connection storms)Surface insights to drive executive decision making across the business, and help define cross-functional concepts like customer journey usage phasesCreate measurement frameworks to measure the success of each productConduct deep dive analysis to assess product performance and healthServe as an analytical and technical thought partner to stakeholders across the product, analytics, data science teamsMake the team more efficient: Research and implement new tooling/processes; seek out and automate existing costly manual processesSkills & attributes6+ years of hands-on analytics experience with for product and / or growth teams, ideally at a software companyExperience developing statistical models, causal inference, and supporting experimentation effortsAdvanced knowledge of statistical methods, techniques, formulas, and tests, experience developing causal and statistical inference modelsAdvanced SQL skills and proficiency with either Python or RDeep understanding of SaaS products and demonstrated success of partnering with product teams to conduct a wide range of experiments.Demonstrated ability to effectively communicate and set priorities with a variety of key stakeholders at all levels of the organizationEffective at communicating technical concepts to non-technical audiencesCommitted to contributing to a collaborative, enjoyable, and psychologically safe work environmentPhD or Masters in Economics, Statistics, or related fieldMongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data
We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI
Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure
Atlas allows customers to build anywhere—on the edge, on premises, or across cloud providers
With offices worldwide and over 175,000 developers joining MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone
From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys
Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process
To request an accommodation due to a disability, please inform your recruiter.MongoDB, Inc
provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disabilityMongoDB’s base salary range for this role is posted below
Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location
Salary is one part of MongoDB’s total compensation and benefits package
Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings
Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.MongoDB’s base salary range for this role in the U.S
is:$112,000—$220,000 USD
The work in the Product Insights pillar will be cross-cutting and focused on developing a deeper understanding of our product and feature utilization on consumption and other core business metrics
This role requires someone with strong analytical, technical, and statistical skills, and who is comfortable partnering with stakeholders at all levels of the organization and across multiple functional areas in a fast-paced, challenging environment.ResponsibilitiesDevelop a deep understanding of what types of features and products customers are using across different stages of their MongoDB lifecycle, find pain points, and construct sophisticated statistical models to provide actionable recommendations that improve the customer experienceBroaden our view into attribution by product feature via causal inference models, better identifying health (regression detection, connection storms)Surface insights to drive executive decision making across the business, and help define cross-functional concepts like customer journey usage phasesCreate measurement frameworks to measure the success of each productConduct deep dive analysis to assess product performance and healthServe as an analytical and technical thought partner to stakeholders across the product, analytics, data science teamsMake the team more efficient: Research and implement new tooling/processes; seek out and automate existing costly manual processesSkills & attributes6+ years of hands-on analytics experience with for product and / or growth teams, ideally at a software companyExperience developing statistical models, causal inference, and supporting experimentation effortsAdvanced knowledge of statistical methods, techniques, formulas, and tests, experience developing causal and statistical inference modelsAdvanced SQL skills and proficiency with either Python or RDeep understanding of SaaS products and demonstrated success of partnering with product teams to conduct a wide range of experiments.Demonstrated ability to effectively communicate and set priorities with a variety of key stakeholders at all levels of the organizationEffective at communicating technical concepts to non-technical audiencesCommitted to contributing to a collaborative, enjoyable, and psychologically safe work environmentPhD or Masters in Economics, Statistics, or related fieldMongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data
We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI
Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure
Atlas allows customers to build anywhere—on the edge, on premises, or across cloud providers
With offices worldwide and over 175,000 developers joining MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone
From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys
Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process
To request an accommodation due to a disability, please inform your recruiter.MongoDB, Inc
provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disabilityMongoDB’s base salary range for this role is posted below
Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location
Salary is one part of MongoDB’s total compensation and benefits package
Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings
Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.MongoDB’s base salary range for this role in the U.S
is:$112,000—$220,000 USD
