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About the Role

Product Finance is committed to driving growth through new user acquisition and increasing engagement amongst our existing user base of neighbors. We are looking for someone with a "bias towards action" to interrogate data, tease out the story, and utilize insights to guide product strategy and 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. The opportunity to work on special projects directly with product teams is also possible as you will work closely with senior product leaders.

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
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

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)
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
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
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

Skills

Python
numpy
pandas
scikit-learn
Looker
AB testing
statistical modeling
machine learning
NLP/Sentiment analysis
large text classification models

Location

San Francisco
Los Angeles
Chicago
Dallas
New York
London

Work Type

Hybrid

Experience Level

2-to-6 years

Education Level

Advanced degree with a focus on Business, Applied Statistics, Data Science, or similar

Salary/Compensations

$135,000 - $175,000

Benefits

100% covered employee only health plan option
OneMedical membership for concierge care
Meaningful equity grant with quarterly vesting

About the Company

Nextdoor is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries.
Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale.

Equal Opportunity

To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply.
We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people.
In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.