The database market is massive (the IDC estimates it to be $119B+ by 2025!) and MongoDB is at the head of its disruption. The MongoDB community is transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

The Manager of Product Analytics will play a key role in our rapidly growing Data Analytics function. He or she will partner directly with our product and engineering teams to generate actionable insights that power future product strategy. This position requires a driven self-starter who is able to work with senior leadership comfortably, takes tasks from start to finish, and someone who enjoys working in a dynamic, fast-paced, and challenging environment.

Responsibilities

• Lead a team of analysts to support product teams responsible for driving product adoption and usage
• Serve as a strategic thought partner to key stakeholders across product and engineering, prioritizing and executing on analytical investigations and building data products
• Empower and guide your team to study the intersection between customer behavior and product usage to enable Product teams to make data-driven decisions. Define, evaluate, and monitor success metrics, root causes changes, and proactively surface insights to senior leaders 
• Hypothesize and recommend product enhancements by leveraging a deep understanding of our data, customers, products, and business model
• Collaborate with data science on experimentation and developing models that help us predict customer engagement
• Champion the use of data to drive decision making across the company and at all levels of the organization
• Effectively communicate analytical findings to non-technical audiences; mentor and guide your team on strategic communication

Skills & Experience

• 5+ years of relevant professional data science & analytics experience with a background in some combination of product, growth, marketing, or web analytics
• 1+ years of managing a team of analysts/data scientists
• Ability to understand business priorities and prioritize scarce resources appropriately
• Fluent in SQL; Python or R a plus
• Familiarity and comfort working in a big data environment with unstructured or semi-structured data
• Strong background in statistics and experimentation; knowledge of Product Management principles a plus
• Excellent communication skills - oral, written, and visual; ability to take the results of analyses and communicate actionable recommendations concisely
• Eager to roll up your sleeves and dig into any problem in a fast-paced, high-growth environment
• Experience in the SaaS industry highly desired but not required

Success Measures

• In 3 months you will have a deep understanding of your team, your stakeholder priorities, and an outline of priorities for the next 12 months
• In 6 months you will have built out key processes and cemented strong working relationships with your key stakeholders across the product and engineering organizations
• In 12 months you will have delivered on two to three projects that measurably improve the adoption and usage of MongoDB products by its customers

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, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.