Senior Data Analyst, Product Analytics

• End-to-end ownership: You'd own the full measurement framework for a live product line — KPIs, dashboards, and instrumentation — not just contribute analyses to someone else's model.

• Solve High-Complexity Marketplace Problems: This is a playground for advanced analytics. You will tackle non-trivial, two-sided marketplace challenges including pricing/packaging optimization and causal inference for interventions where standard A/B test assumptions often break down.

• Strategic Executive Visibility: Because Spotlight Listing a growth area for the next few years, this role offers high exposure to high-profile stakeholders. You won't just be presenting charts; you will be partnering with Product, Marketing, and Sales to shape commercial decisions and drive measurable product impact..

What You'll Do:

• Business Performance Reporting, Visualization and Analysis: Be the primary partner for our cross-functional stakeholders to understand product performance. When a metric is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.

• Deep-Dive Analysis: Use advanced techniques (A/B experimentation, statistical modeling, matched pair, and/or machine learning) to analyze consumer product performance at a lead and feature level. Create a rich understanding of how people are interacting with product features and use these insights to then make recommendations.

• Opportunity Identification and Sizing: Both to set goals and help evaluate potential product enrichment opportunities, you will be tasked with forecasting and opportunity sizing. This will help our Product stakeholders understand the short-run and long-run dynamics of proposed changes to our product strategy, and create targets for driving business performance as well as optimize lead generation and funnel improvement opportunities.

• Partnership and Communication: Partner closely with our Product stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data architecture, data visualization, data modeling, and testing platforms.

• Build trust in all interactions and help make sure Seller Customer interactions is included in the build out of Amplitude and be an advocate for adoption

• Be responsible for understanding key drivers of the Net Promoter Score for seller-focused customer products and helping to identify actionable paths for product and customer care to take on to improve NPS.

• Build relationships with other products and analytics teams to share best practices and enrich analytic practices

• Conduct quantitative analysis, ad hoc reports, & statistical models to understand the health and latest trends among product engagement and funnel conversion consumer metrics

• Create impactful data insights and analysis from Analytic Plan creation thru End-of-Analysis summaries

What You'll Bring:

• Bachelor's Degree in Business Analytics, Math, Economics, or equivalent work experience required

• 5+ years of relevant experience or a Master’s Degree with 3+ years of experience

• Experience using data to analyze product feature performance is preferred

• Advanced knowledge in SQL

• Experience with data exploration and data visualization tools such as Tableau, Shiny, Streamlit, etc.

• Experience with cloud-based data environments such as AWS and Snowflake

• Advanced technical and modeling skills including Excel or Google Sheet skills (e.g. pivot, vlookup, etc.) and data analytics

• Understanding of experimentation and statistics concepts (e.g. confidence intervals, hypothesis testing, regression analysis, etc.)

• Ability to think strategically, analyze and interpret product performance drivers as well as how analyze a conversion funnel with key fallout points identified

• Intense curiosity, high intellectual and analytical horsepower, passionate pursuit of analytics driven insights

• Strong communication skills as well as written and verbal presentation skills and experience presenting to diverse audiences

• Comfort working in a highly agile, intensely iterative environment

• Self-motivated and self-managing, with strong time management and organizational skills

Preferred skills & Experience:

• Experience in a subscription business

• Knowledge in Python or R

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our Austin headquarters, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.