Responsibilities
- Become an expert user of our product(s) and the top use cases of our creator customers
- Collaborate with product teams to establish measurement tools, document and communicate measurement logic, and democratize availability of product performance data
- Understand the correlations between product metrics, operating metrics and financial metrics, and seek 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
- Support product learning goals, deploy multivariate tests, and synthesize analytical results into practical recommendations that inform key business decisions
- Support data-driven decision-making processes, advocating for the use of analytics and empirical evidence in product decision-making
- Guide stakeholders in usage of reporting and analytics
Who You Are
- BS in a technical or math-oriented discipline, Master is preferred
- 5 - 7 years of work experience in analytical/quantitative roles
- Experience in product and marketing analytics for SaaS models
- Knowledge of and experience with product or web analytics tools (Heap, Amplitude, Adobe Analytics, etc.)
- Knowledge and experience in digital marketing attribution
- Deep empathy for our creators and desire to solve problems with a creator-first mentality
- Good communication and storytelling skills for technical and non-technical audiences
- Strong 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
- Experience designing, conducting, and analyzing results from multivariate tests
- Knowledge of YouTube and / or the Creator Economy
- Experience with data visualization tools in any of the following:
- Power BI
- TIBCO Spotfire
- Looker
- Tableau
Why Spotter
- Medical and vision insurance covered up to 100%
- Dental insurance
- 401(k) matching
- Stock options
- Complimentary gym access
- Autonomy and upward mobility
- Diverse, equitable, and inclusive culture, where your voice matters
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles that will be performed in Culver City. Actual salaries will vary and may be above or below the range based on various factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current pay range is: $100K-$500K salary per year. The range listed is just one component of Spotter’s total compensation package for employees. Other rewards may include an annual discretionary bonus and equity.
Spotter is an equal opportunity employer. Spotter does not discriminate in employment on the basis of race, religion, creed, color, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic characteristics or information, marital status, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, use of or request for family or medical leave, political affiliation, or any other status protected under applicable federal, state or local laws.
Equal access to programs, services and employment is available to all persons. Those applicants requiring reasonable accommodations as part of the application and/or interview process should notify a representative of the Human Resources Department.