United States
Remote
Senior
Full Time
6 days ago
💰$115,600 - $153,170
remoteB2B SaaSdata analysisproduct analyticsSQLMixpanelLookerMetabase
Requirements
- •5+ years of experience in data analysis, business intelligence, or a related quantitative field
- •Experience partnering directly with product managers, UX researchers, and engineers to define metrics, design experiments, and support product discovery
- •Demonstrated experience in product analytics for a B2B SaaS product including funnel analysis, retention modeling, cohort analysis, and feature adoption metrics
- •Experience supporting a new or emerging product (0→1 or early-stage growth) including defining success metrics from scratch
- •Strong proficiency in SQL including ad-hoc querying and data modeling for analytical reporting especially for event-level datasets and behavioral analytics
- •Strong experience instrumenting and validating product usage event data, preferably using Segment or comparable customer data platforms
- •Experience using a product analytics tool (Mixpanel or similar) to visualize user behavior funnels and analyze product data
- •Ability to validate data across complex or undocumented systems ensuring accuracy and consistency
- •Proven ability to translate ambiguous product and growth questions into structured analyses
- •Ability to present insights clearly and confidently to cross-functional partners including senior leadership and go-to-market teams
What You'll Do
- •Partner with product managers, UX researchers, and engineers to define success metrics for a newly launched product based on product usage behavior
- •Conduct deep-dive analyses on adoption, segmentation, and trial experience to identify product-market fit signals and growth opportunities
- •Develop clear, executive-ready reporting and narratives to inform product investment decisions
- •Build frameworks connecting product usage to long-term engagement and subscription value
- •Synthesize quantitative data with qualitative insights to inform product strategy and shape feature roadmaps
- •Collaborate with engineering teams to ensure reliable product event tracking and high-quality behavioral data
- •Design and analyze experiments to evaluate onboarding, feature adoption, and workflow improvements
- •Present insights and recommendations to senior leadership and guide high-visibility product discussions
- •Contribute to and uphold team best practices for data modeling, visualization standards, and documentation
Nice to Have
- •Experience evaluating TAM, ICP definition, or market opportunity sizing using internal data
- •Experience with at least one data visualization platform (Looker or Metabase preferred) with ability to design intuitive dashboards and optimize reporting structures
- •Experience working on international, multilingual, or globally distributed customer products
- •Experience working with product experiment platforms and A/B testing
- •Familiarity with data engineering or analytics engineering concepts (e.g., dbt, ETL workflows, version control, data model documentation)
- •Experience with survey feedback analysis and qualitative analysis
Benefits
- •Bonus-eligible
- •Robust suite of benefits (details on company website)
