Product Analytics & Forecasting Lead

Candidate; San Francisco (CA); Hybrid; USD 135,000 - 175,000; Full time

Benefits offered by this job

Equity grant

Health plans

OneMedical membership

Hybrid work model

Job summary

Nextdoor is seeking a Product Finance analyst to partner with product, data science and engineering teams. You will interrogate data, craft forecasts for user growth and revenue, build dashboards, and support weekly performance reporting.

You will work in an AI-first environment, using tools like Claude, Gemini, ChatGPT, and Looker to drive actionable insights. This role blends in-office collaboration with occasional remote work in our hybrid model and offers opportunities to contribute to

Qualifications

• 2-6 years of relevant experience in analytical / strategic roles (e.g. investment banking, consulting, business operations, or analytics at a fast-paced technology company)
• Storytelling: Excellent written and oral communication, including ability to effectively communicate complexity to a diverse group of stakeholders from the associate to C-Suite level
• Deep Dives: Experience formulating, running, and sharing complex analyses that have a strategic business impact such as time series analyses, cohort retention studies, and forecasting. A highly analytical and inquisitive work style with keen attention to detail is critical to success
• Ownership: A curious self-starter who thrives under a high level of ambiguity and autonomy; capable of incorporating larger business context into data questions and product development; drill down into processes but zoom out to a larger view
• Tools: Working knowledge of Python, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn. BI / dashboarding experience is useful. We use Looker

Responsibilities

• High Impact: Partner closely with the broader F&S team and ProdDev leads to identify and solve analytical problems that delight the user, drive the product roadmap and impact underlying KPIs
• Insight discovery: Deliver data insights and drive for adoption through tools (e.g. dashboards, self-serve reporting), memos and presentations. Additionally, analyze data to identify trends, discrepancies, and opportunities to improve the product ecosystem. Provide actionable recommendations and insights to senior management to facilitate informed decision-making
• Forecasting: Lead a portion of quarterly outlook process for forecasting user growth, neighbor engagement, and overall revenue opportunities for the monetization team. Utilize insights around metric development to inform better decision making and enable increased forecast accuracy
• Performance management support: Assist & present in our weekly performance tracking and management of business operations. Ensure accuracy and timeliness in performance reporting, helping the team meet its short and long-term objectives
• Analytics foundation: Understand the full lifecycle of analytics tooling including conceptual metrics definition, initial coding, automation and optimization, and debugging issues by partnering with our Analytics Engineering group
• Collaboration: Facilitate data ownership and accountability by closely partnering with data science, product, and engineering partners to improve data robustness
• Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises
• Build in-person relationships with team members and contribute to Nextdoor’s company culture

Skills

Storytelling

Deep Dives

Ownership

Communication

Analytical thinking

Tools

Python

Looker

Numpy

Pandas

Scikit-learn

Job description

Nextdoor is seeking a Product Finance analyst to partner with product, data science and engineering teams. You will interrogate data, craft forecasts for user growth and revenue, build dashboards, and support weekly performance reporting.

You will work in an AI-first environment, using tools like Claude, Gemini, ChatGPT, and Looker to drive actionable insights. This role blends in-office collaboration with occasional remote work in our hybrid model and offers opportunities to contribute to