Head of Analytics or Director/VP of AnalyticsFull-timeThe League is a pre-series A mobile social dating app startup backed by IDG Ventures, xSeed Capital, Cowboy Ventures, Structure Capital, Sherpa Ventures, and many notable angels. The League's director of engineering, Tim Zaitsev, has a masters from Carnegie Mellon and is incredibly hands-on and is building out a lean team of world-class, senior engineers. The League is live in six cities, brings in healthy revenue each month, and has hundreds of thousands of people in other metros waiting for its launch in their city.This candidate leads the analytics department and oversees the activities of the junior departments and personnel. In this role, the Head of Analytics ensures that the business in its various departments understands its own health, finds growth levers, and identifies opportunities for optimization. The Head of Analytics leads the business through all efforts that drive business performance and potential by using the existent and new data sources and techniques. He/she leads the data analytics department in the development of a departmental culture, policies, and strategy. The role will involve the Head of Analytics getting his or her hands dirty and solving hard analytical problems for the business, taking a seat at the table alongside Engineering, Product, and Marketing, often representing both Analytics and Product Operations.Responsibilities:Build the team:Determine what roles are most needed for the businessAttract and source candidatesSelect candidates who will be the best fit for the company's needs and cultureClose candidates, often against competitive offersManage the team:Ensure a bright, enthusiastic and capable team is aligned to and deployed against projects with the highest business impactHelp analysts and business intelligence engineers achieve their career goalsExplain complicated stats or data technology concepts.Guide the work:Marketing: Television, radio and other point in time attribution, Billboards and possibly other geo-lift attribution, Brand awareness/affinity metrics, Tracking across different products, properties and platformsOps: Operational metrics for queue/back office tasks, Understanding how service speed and quality affect business metricsProduct: Best practices for AB testing, consistent analysis of results and cataloguing of what we learnDrive technology requirements and investments that make analytics a strategic weapon for the companyInterface with other groups:Leadership to ensure that decisions are informed and analysis is in service of company goalsUser research to understand the emotions and motivations behind user behaviorFP&A to ensure alignment on goalsData engineering for analytics access to data and toolsData science to ensure collaboration and understanding of the businessMinimum Requirements:Education: A master's degree (PhD preferred) in Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math, Business Administration, or related field. Equivalent working experience is acceptable.Experience: At least 7 years in a data analyst or data warehousing position, preferably as a Senior Data Analyst. Proven experience in executing data analytics initiatives leading to business performance improvement.Communication Skills: Excellent written and verbal communication skills.Computer Skills: Proficient in MS Office (Word, Excel, PowerPoint), Salesforce, SQL Server Reporting Services, Tableau, and other data visualization tools.Analytics Skills: Passion for research and data, skilled in quantitative analyses, SQL proficiency, and understanding of A/B testing.Interpersonal Skills: Self-motivated, proactive, exceptional problem-solving skills, and ability to work cross-functionally.People Skills: Ability to build strong relationships and inspire trust in others.All your information will be kept confidential according to EEO guidelines.TO APPLY: Submit your resume here: Apply Now
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