Product Analytics Lead

Overview: 

Spotter, named one of TIME100's Most Influential Companies 2023, empowers top YouTube creators to accelerate their business and unleash their full creative potential by giving them access to the capital, knowledge, and community they need to succeed at scale. As the top provider of creator-friendly growth capital, Spotter tailors our investments to meet the unique needs of each creator we partner with, giving them the freedom to create without compromise.

Creators are free to reinvest their funds however they choose, from hiring a team, to building their own production studios, and everything in between, all while maintaining total control over their catalogs, their channels, and their future earnings. In addition to funding, Spotter provides creators with in-depth data insights into the performance of their existing content, enabling them to leverage the full value of their library, as well as the value of future uploads and how they can improve performance in the future.

Featured in Forbes, Fast Company, Variety, Axios, and more, Spotter has already deployed over $850 million to YouTube creators to reinvest in themselves and accelerate their growth. Spotter has licensed content that consists of over 725,000 videos, which generate 88 billion monthly watch-time minutes. With our curated premium video catalog, we deliver a unique scaled media solution to Advertisers and Ad Agencies that is transparent, efficient, and 100% brand safe.

What You’ll Do

Spotter’s mission is to give creators access to tools, knowledge, community, and capital so their creativity can change the world. The Product Analytics Lead plays a vital role in that mission by creating magical experiences for our funded creators. You will work closely with our Product team to surface key insights about user behavior, user journey, churn, and product usage to drive continuous improvement and shape the future of Spotter’s game-changing creator tools. 

This position is based in our Culver City HQ.

Responsibilities

• Become an expert user of our product(s) and the top use cases of our creator customers
• Partner closely with product teams to establish measurement tools, document and communicate measurement logic, and democratize availability of product performance data
• Become our in-house expert in understanding the correlations between product metrics, operating metrics and financial metrics, and seeking to understand causation and levers
• Develop and maintain comprehensive dashboards and reporting tools to track product performance, monitor key metrics, communicate insights and give recommendations to stakeholders
• Constantly monitor these metrics, investigating anomalies, coming up with theories and sharing insights and finding
• Partner with product and engineering to design measurement into new feature releases during requirements stage, prep and QA reports prior to launch, and follow up after launch
• Develop product learning goals, design multivariate tests, and synthesize analytical results into practical recommendations that inform key business decisions
• Drive data-driven decision-making processes, advocating for the use of analytics and empirical evidence in product decision-making across the company
• Lead at multiple levels - as a thought partner to product leaders and executive stakeholders, as an analytics manager when working with your team, and as an individual contributor on key projects
• Mentor and coach analysts in developing impactful insights and guide stakeholders in usage of reporting and analytics

Who You Are

• BS in a technical or math-oriented discipline
• 6 - 10 years of work experience in analytical/quantitative roles
• Experience in product and marketing analytics for SaaS models
• Extensive experience designing, conducting, and analyzing results from multivariate tests
• Extensive knowledge of and experience with product or web analytics tools (Heap, Amplitude, Adobe Analytics, etc.)
• Extensive knowledge and experience in digital marketing attribution
• Deep empathy for our creators and desire to solve problems with a creator-first mentality
• Strong communication and storytelling skills for technical and non-technical audiences
• Expert level proficiency using SQL and / or Python / R for ad-hoc analysis
• Proficient in PowerPoint and / or Google Slides
• Ability to troubleshoot data-related issues

Note: Due to the proliferation of similarly capable business products today, skills in equivalent products are acceptable

Preferred Qualifications

• Experience using Heap
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