Senior Data Analyst

Activehours is reinventing the way people get paid by giving them immediate access to the money they’ve earned. We’re looking for passionate hackers, thinkers, and innovators to push our product even further. We celebrate victory, don’t shy from failure, and are always learning. Join our tight-knit team in a highly collaborative environment, where you’ll help shape the next stages of our roadmap from inception to production. Your work will help people access their pay and change their financial futures. If that sounds like your dream job, we want to hear from you. Job Description Activehours is looking for a rockstar Senior Data Analyst to join our team in Palo Alto. We’re a rapidly growing company, with an established product-market fit, on the verge of scaling. As a live-service software company, data analysis and insights drive the product roadmap and trajectory of the company. A history of analytical excellence and driving actionable insights at prior companies is critical for this role. The Senior Data Analyst will report directly to the Head of Growth, but will also work closely with the CEO and executive team. As part of a rapidly growing startup, you’ll have the freedom to shape your role, choose your tools, and set the direction of analytics for the product. Responsibilities Deep-dive, synthesize, and articulate actionable next steps by leveraging our full ecosystem of data sources (in-app data, 3rd party tools, industry trends, consumer research) Hypothesis-driven testing, including defining, facilitating, and analyzing A/B testing Define strategy and execution for business intelligence and live operations reporting, including dashboards and alerts. Recommend analytical tools to implement in partnership with developers and the Head of Growth Lifetime value and cohort tracking Qualifications Minimum of 3 years of demonstrable experience in digital data and measurement (live service mobile applications and experience scaling product a plus) Deep expertise in SQL. Experience in Python and R a plus Bachelor’s degree in mathematics, statistics, computer science, or related quantitative field. Master’s degree a plus Must be an effective communicator to peers and upper management Must possess a results-driven attitude and be able to handle multiple deadlines and projects Fearless personality: willing to question the accepted wisdom and disagree with colleagues when the data supports it #J-18808-Ljbffr