Finance & Strategy Manager, Nextdoor

• We are looking for someone with a bias towards action
• Successful candidates will exhibit technical acumen, product sense and business savvy
• You are passionate about leveraging the power of data to drive product changes with quality and agility. You are a team player
• 2-to-6 years of relevant experience in analytical / strategic roles (e.g. investment banking, consulting, business operations, or analytics at a fast-paced technology company)
• Data Independence: Experience architecting, debugging, and executing complex SQL queries. JOIN, WITH (CTEs) and window functions are used regularly. We use Databricks, but experience in GCP, Redshift, Postgres, etc are all useful
• 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
• It’s ok if you don’t have all of these requirements; if you think you’d be a good fit for the role, please get in touch with us and include a note/cover letter detailing any additional experiences you’d like to highlight

Desirable

• Today, we work closely with product and engineering teams to understand the impact and trends across growth and engagement while building and maintaining our quarterly and long-range forecasts
• Historically, we’ve always been strong in our reporting and forecasting; however, over the past year we’ve been expanding our capabilities to dive deeper into our data to understand the “why” to subsequently get to “what” we should be doing about it
• You will interrogate data, tease out the story and utilize insights to guide product strategy and our top-of-funnel forecasting
• You will build and execute core operational processes, such as metrics reporting, user growth and engagement forecasting and tracking the impact of product initiatives collectively
• In your role, the opportunity to work on special projects directly with product teams is also possible as you will work closely with senior product leaders and on a day-to-day basis
• The work of Product Finance is essential to the growth and success of the company and involves frequent opportunities to showcase key metrics and findings to senior leadership
• 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