Senior Data Analyst

Key Skills

Java Programming, Python Programming, SQL

Job Description

Our team’s responsible for scaling our product user base through growth marketing as well as providing cross functional feedback to various stakeholders about learnings that may drive product innovation. Our team operates best with a focus on collaboration, trust, and empowerment.

We’re looking for a collaborative analyst who thrives on empowerment in an innovative, dynamic environment. Somebody who enjoys making sense of vast amounts of data leveraging cutting edge querying and statistical tools, and who loves to discuss data frameworks and approaches.

The team member in this role will create and monitor business intelligence tools, run ad hoc queries using statistical software, build data models, and help manage our reporting and analytics framework. As a data driven team and company, this person will also have the opportunity to collaborate cross functionally with other analysts, data scientists, and growth marketers to make recommendations that impact millions of dollars in spend.

We are currently mandatory work from home, but for the long-term we would like this hire to be located near San Francisco.

Responsibilities:

• Partner closely with growth marketing stakeholders to identify impactful business problems, translate them into structured business intelligence, and effectively communicate the results
• Develop quantitative analyses, ad hoc reports, and statistical models to support marketing decisions related to: KPIs, LTV, engagement & retention, and ROI
• Build and maintain BI tools to make informed decisions quickly while empowering others cross functionally to have information readily accessible
• Partner with data science to develop frameworks for forecasting, exploring trends, and spotting anomalies
• Design experiments to A/B test the validity of various hypotheses

Your background:

• BS in a technical field, such as Mathematics, Statistics, Economics, or related field
•  4+ years’ work experience analyzing large datasets in an analytics or scientific role
• Team oriented with the ability to prioritize and manage multiple projects in a fast-paced, fluid, environment
• Proficiency with SQL and querying big data frameworks
• Advanced experience with business intelligence tools such as Periscope, Tableau, Looker, etc
• Experience distilling technical information into business decisions, with a history of driving business outcomes

Bonus points:

• Experience working with user acquisition teams
• Proficiency in Python or R
• Master’s degree in statistics, mathematics, or related field
• Experience in a mobile gaming, ad-tech, or tech start up company