Senior Product Analyst

Postscript is redefining marketing for ecommerce companies. By introducing SMS as an entirely new channel for ecommerce stores to engage, retain, and convert their customer base, brands are seeing huge ROI with Postscript. Backed by Greylock, Y Combinator and other top investors, Postscript is growing fast and looking for remarkable people to help build a world class organization. 

The Business Intelligence team is a small but growing function that will play a critical role in helping Postscript scale. We currently have a mix of Analytics Engineers and Product Analysts on the team. Our mission is to improve decision making at all levels of the company through trusted data, tools, and analysis. To accomplish our goals, we need versatile builders and analysts! 

As a Senior Product Analyst, you’ll have an exciting opportunity to be the primary analyst for growth and go-to-market (GTM) teams. Your insights and recommendations will have a direct impact on strategy, goals, and product design. This is a high-impact, high-visibility role with lots of opportunity for growth. Also, as an early member of the team, you will have the opportunity to help lay the foundations for how we operate as a group. Come join us!

Primary duties

• Partner closely with GTM and the Growth team to define metrics, identify data needs, and produce impactful analyses
• Develop new metrics to focus the teams on the key factors and track progress
• Design experiments and perform A/B testing to measure the efficacy of initiatives
• Create reports and presentations to summarize findings and drive action 
• Build self-service dashboards to democratize data and automate reporting 
• Collaborate with BI, Data Engineering, and Product to ensure upstream data sources are delivered with the right frequency, grain, and information to support business objectives

What We’ll Love About You

• 5+ years of experience working in analytics, business operations, or data science
• Proven ability to produce insights and present findings to non-technical audiences
• Experience with advanced analytics (e.g., A/B testing, regressions, time series)
• Highly proficient in SQL with demonstrated skill in building complex analytical queries
• Experience building self-service dashboards in a BI platform (e.g., Looker, Sigma, Hex, Steamlit, Retool)
• Strong business acumen to understand financial and go-to-market strategies
• Highly curious with a history of proactively identifying opportunities
• High growth/early stage experience strongly preferred
• Python or R …