Senior Data Analyst II, Product

MongoDB

Hybrid

Quick summary

Work type: Hybrid
Location: Austin, TX
Salary: $97,000–$189,000 / yr
Posted: 13 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $167k

This role $143k

$83k most similar roles pay here $228k

This role pays less than 69% of similar roles. Most pay $135,000–$199,800 — the shaded band above. At the midpoint, this role pays about $143k versus about $167k for comparable roles.

Based on 240 similar postings.

Employer

About MongoDB

MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.

MongoDB currently has 287 open roles on FindRole.

Listed pay typically runs $126,500–$209,000 across 104 roles with salary data.

Most-posted roles

View all roles at MongoDB

At a glance

TL;DR · Senior Data Analyst II, Product

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The Senior Product Analyst II role within the Data Analytics function at a leading modern data platform company involves partnering with cross-functional teams to drive business decision-making through insightful analysis. This position requires developing a deep understanding of customer usage patterns and pain points across various stages of the MongoDB lifecycle, defining KPIs, and conducting in-depth analyses to enhance product performance and user experience. The ideal candidate will have 5+ years of hands-on analytics experience with advanced SQL skills and proficiency in Python or R, alongside a proven track record of collaborating effectively with product teams on experiments and communicating technical insights to non-technical stakeholders. This role is pivotal for shaping the future direction of SaaS products within a fast-paced, innovative environment based in Austin, TX.

Skills

Python R SQL AWS Kubernetes Docker CI/CD Prometheus Grafana PostgreSQL MongoDB

What you'll do

Identify customer pain points and provide actionable recommendations to enhance the user experience.
Define KPIs and metrics to improve product performance and user satisfaction.
Conduct in-depth analysis to assess product health and performance.
Serve as a technical thought partner for stakeholders across various teams.
Implement new tooling and automate processes to increase team efficiency.

What we're looking for

5+ years of hands-on analytics experience in product or growth teams at a software company.
Strong proficiency in SQL and Python or R for data analysis.
Deep understanding of SaaS products with proven success in partnering with product teams.
Ability to define KPIs, metrics, and measurement frameworks for product performance.
Effective communication skills to convey technical concepts to non-technical stakeholders.
Experience conducting deep dive analyses to assess product health and provide actionable recommendations.