March 28
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• Independently lead the analysis for our Platform product group; focusing on user onboarding and monetization performance metrics such as onboarding completion rates, ASP, and payments. • Leverage your expertise in user onboarding and/or monetization to identify trends, patterns, and anomalies in our data, and ultimately help provide actionable insights to inform and recommend strategies to optimize product offerings and customer experiences. • Be the expert on new user journey and monetization data, understanding the nitty-gritty details of the program, and partnering with Analytics Engineering to ensure accurate and timely availability of data for analysis. • Form strong relationships between Data Analytics and the Product teams by proactively identifying and driving analytics projects that help inform the strategic direction and becoming an integral part of the product planning process. • Float from thinking about big strategic data questions to getting your hands dirty building out the processes, systems, and ultimately analyses to answer those questions. Be the person responsible for ongoing maintenance of what you have built. • Translate complex analytical findings into clear and concise reports, dashboards, and presentations for stakeholders at all levels of the organization. • Continue to improve our culture of experimentation. You’ll be the go-to person for the product platform team to guide the design of experiments and jump in to analyze particularly complex or important experiments yourself. Within the data team, you’ll help us think of new ways to improve our experimentation systems and processes across the company.
• 5+ years of experience in the analytics space, taking on progressively more complex work and senior roles. • Experience in SAAS companies and particularly around user onboarding, user journey flows, and/or monetization analytics. • Have a good understanding of experimental design and statistics and can leverage that for analysis and assessment of A/B tests. • Intuitively understand how to measure monetization and users journeys and how various KPIs are interrelated. • Have a strong SQL background. You are comfortable spinning up a quick analysis or proof of concept data model. • Expertise in data visualization tools (e.g., Looker, Tableau, Power BI). • Excellent communication skills, with the ability to explain complex analytical findings to non-technical stakeholders and comfortable speaking with senior/executive level leadership.
• Health, Dental & Vision Plans • Competitive Pay • Matching 401k • Unlimited PTO • Lunch daily • Snacks, Kombucha & Coffee on tap • Commuter benefits
Apply NowMarch 27
201 - 500
March 27
201 - 500
🇺🇸 United States – Remote
💰 $192M Series E on 2022-02
⏰ Full Time
🟠 Senior
📉 Data Analyst
🗽 H1B Visa Sponsor