Manager, Product Analytics

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Community powers direct relationships and one-on-one conversations between Leaders and their Members through text messaging at scale. Launched in 2019 and headquartered in Santa Monica, Calif., Community is breaking new ground in trusted marketing and communications channels by connecting Leaders--global pop culture stars, local community organizers, small business owners and brands--to their Members to drive conversations that convert into actions, sales, revenue and more.

Join us at www.community.com @incommunity


About the Role and Your Impact

We are looking for a skilled Product Analyst with strong experience in Startup/SaaS product organizations to join our Data Analysis & Business Intelligence team. In this role you‘ll be a key player in accelerating the transformation of Community into a more data driven organization.

You’ll act as a critical partner to product leadership and the broader product organization, while being a key driver in communicating critical insights and findings throughout the broader organization.

Your focus on data-driven decision making as well as your analytical skills and guidance will help the product organization to iterate rapidly but strategically on experiments and empower Community to make faster and better informed product decisions so we launch the best possible products and services to the market.

What You’ll Do

  • Explore and analyze user experience and product performance data, develop goals and tracking metrics, and ensure product priorities are data-driven and accommodate short/long-term goals.
  • Collaborate with Engineering, Design, and Product Management to design and develop experiments to test hypotheses, iterate and implement changes in our product that positively impact the leader’s experience.
  • Collaborate with data engineering to ensure and improve data availability, integrity, accuracy, and reliability.
  • Promote data literacy and ensure a high integrity of analysis across departments.
  • Define key metrics and drive consistency of KPIs and data processes across the organization.
  • Create dashboards to track the adoption, validation and the long-term success of new features.
  • Partner with P&E, Business Operations, Marketing and Finance to identify opportunities for improving our product experience based on user feedback and help quantify the impact of qualitative insights.
  • Become fluent in the data around Community’s products and services and develop a well-rounded knowledge of our ecosystem as a whole.

What You’ll Bring

A successful candidate will have excellent analytical skills, excellent time-management and organizational habits, and the ability to clearly communicate and present information for stakeholders at all levels of the business.

  • Degree in business administration, economics, computer science, statistics, applied mathematics or other quantitative fields.
  • 6+ years of experience as a data analyst; 2+ years in working with Product & Engineering teams
  • Start-up experience is a must; SaaS experience preferred.
  • Knowledge of statistics (experimental design, statistical analysis, hypothesis testing).
  • Deep knowledge of data models, data governance, experimental design and execution.
  • Fluent in Excel / SQL as applied to data science & analytics. Experience w/ R or Python a bonus.
  • 4+ years of experience in Looker, Tableau or other data visualization tools.
  • Strong analytical skills, with experience building product intuition, solving problems using data and providing business insights.
  • Ability to tell strong, compelling stories about data to technical and non-technical audiences.
  • Experience constructing interpersonal relationships across teams, communicating technical content and analytical insights to multiple audiences.
  • Thrives in an environment of continuous change and complexity- can drive quality insights and deliver high impact projects.

What will distinguish the ideal candidate...

  • Strong experience with SaaS and customer health metrics.
  • Experience in modeling and transforming data sets in a data warehouse (DBT).
  • Experience in modeling customer lifetime value.
  • Experience with growth / revenue modeling as well as churn prediction.

Community is proud to be an equal opportunity employer. We commit ourselves to inclusivity across race, gender identity, sexual orientation, religion, body size, disability, age, and class - in everything we do.

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