Finance & Strategy Manager - Product

About the position

Nextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Product Finance is committed to driving growth through new user acquisition and increasing engagement amongst our existing user base of neighbors. 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. We are looking for someone with a bias towards action. 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. 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.

Responsibilities

• 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
• Deliver data insights and drive for adoption through tools (e.g. dashboards, self-serve reporting), memos and presentations. 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
• 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
• 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
• 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
• Facilitate data ownership and accountability by closely partnering with data science, product, and engineering partners to improve data robustness

Requirements

• 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)
• Experience architecting, debugging, and executing complex SQL queries. JOIN, WITH (CTEs) and window functions are used regularly. Experience in GCP, Redshift, Postgres, etc are all useful.
• Excellent written and oral communication, including ability to effectively communicate complexity to a diverse group of stakeholders from the associate to C-Suite level
• 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
• 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
• 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

Nice-to-haves

• Advanced degree with a focus on Business, Applied Statistics, Data Science, or similar
• Knowledge of AB testing, from the statistical techniques to interaction effects to delivering the 'what's next' recommendations to ProductDevelopment partners
• Past experience in being or working with the 'business partner' in a product group
• Comfort with methods, tools, and packages for statistical modeling and machine learning
• Work experience related to user generated content, social/community-based products, small business advertising, or auction systems
• Experience with NLP/Sentiment analysis or other large text classification models
• Partnership with a qualitative research team to triangulate analytics findings and translate user feedback to quantitative metrics
• Expertise in testing and evaluating the impact of network effects

Benefits

• The starting salary for this role is expected to range from $135,000 - $175,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role.
• We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.
• Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision - and provide a OneMedical membership for concierge care.