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MongoDB

Senior Data Analyst, Growth

Reposted 5 Hours Ago
Easy Apply
Hybrid
New York City, NY
83K-162K Annually
Senior level
Easy Apply
Hybrid
New York City, NY
83K-162K Annually
Senior level
The Senior Data Analyst will drive personal growth and business impact, supporting MongoDB's innovative database solutions and contributing to its AI-focused initiatives.
The summary above was generated by AI

Partnering with stakeholders on the Analytics, Growth, Marketing, Sales, and Product teams, as well as with others around the company, this role will surface key data and insights to drive business decision making. This position requires someone with strong analytical and technical skills, the ability to tell a story with data, and who is comfortable working across multiple functional areas in a fast-paced, challenging environment.

This role can be fully remote.

Responsibilities
  • Leverage deep understanding of statistics to conduct analyses that help partner teams make quicker, more informed decisions to help the business be more agile
  • Build, publish, and maintain reusable analytical toolkits or libraries that enable teammates to leverage for efficient and effective data analysis
  • Write and maintain complex queries to conduct deep-dive analyses on the impact that growth initiatives have on acquisition, product activation, and user retention
  • Surface insights to drive executive decision making across the business
  • Partner with Growth teams and product to support design, execution and analysis of AB testing / experiments across the product  to improve user experience and increase revenue gains 
  • Make the team more efficient: Research and implement new tooling/processes; seek out and automate existing costly manual processes
  • Serve as an analytical and technical thought partner to stakeholders across the analytics, product, and broader growth team
Skills & Attributes
  • 3+ years of hands-on analytics experience, ideally at a software company
  • Advanced SQL skills, comfortable manipulating very large datasets 
  • Strong proficiency and hands on experience in A/B Testing or equivalent statistical knowledge
  • Proficient in Python or R with a strong focus on data wrangling, data analysis, and machine-learning libraries;
  • Ability to query, transform and analyze raw data, draw conclusions, and develop actionable recommendations
  • Demonstrated ability to effectively communicate and set priorities with key stakeholders at all levels of the organization
  • Extensive experience with Tableau or another leading visualization tool is required
  • Highly organized with a strong attention to detail
  • Effective at communicating technical concepts to non-technical audiences
  • Comfort with ambiguity and ability to work in a self-guided manner
  • Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment
About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

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.

Req ID: 1273352423

MongoDB’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:
$83,000$162,000 USD

Top Skills

AWS
GCP
Azure
MongoDB
HQ

MongoDB New York, New York, USA Office

1633 Broadway, 38th Floor, New York, NY, United States, 10019

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