Head of Analytics or Director/VP of Analytics

Company Description

The 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 Founder is a Stanford MBA (ex-Google, ex-Salesforce) with a strong product sense (engineering degree from Carnegie Mellon) and a fierce determination to change the dating space for the better. 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.

1. Build the team:
   • Determine what roles are most needed for the business
   • Attract and source candidates
   • Select candidates who will be the best fit for the company's needs and culture
   • Close candidates, often against competitive offers
2. Manage the team:
   • Ensure a bright, enthusiastic and capable team is aligned to and deployed against projects with the highest business impact
   • Help analysts and business intelligence engineers achieve their career goals. Make sure that team members understand how to have an impact and make sure they are aware of that impact when they've made it. Explain complicated stats or data technology concepts.
3. Guide the work:
   • Marketing: Paid acquisition optimization, including LTV predictions, attribution models, 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 platforms
   • Ops: Operational metrics for customer support (ticket times, agent productivity, etc.), Operational metrics for queue/back office tasks, Understanding how service speed and quality affect business metrics
   • Product: Continuing to dig deeper into the drivers for performance, User segmentation, Best practices for AB testing, consistent analysis of results and cataloguing of what we learn, Making sure that we have a really solid understanding of and control over our core financial engine
4. Drive technology requirements:
   • Business intelligence tooling
   • ETL infrastructure
   • Client-side tracking instrumentation
   • Unified view of customer data across tools and services used by the business
5. Interface with other groups:
   • Leadership to ensure that decisions are informed and analysis is in service of company goals
   • User research to understand the emotions and motivations behind user behavior
   • FP&A to ensure that the entire company is aligned on goals and how to drive towards them
   • Data engineering to ensure that analytics has access to data and tools needed
   • Data science to ensure that work isn't being duplicated and everyone understands our business in the same way

• This role supports the needs of marketing, product, and finance. This leader is responsible for producing marketing analytics, product analytics, and business/financial analytics as well as insights.
• Education: The Head of Analytics has to have a master’s degree (PhD preferred) in Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math, Business Administration, or any other related field. An equivalent of this requirement in working experience is also acceptable for the position.
• Experience: Experience managing a P&L and/or reporting to a CEO a plus. A candidate for this position must have had at least 7 years of working experience in a data analyst or data warehousing position, preferably working as a Senior Data Analyst in a fast-paced and complex business setting. The candidate will also have had a proven and successful experience in the execution of data analytics initiatives, leading to the development of useful insights and the improvement of a business’s performance and driving top-line growth.
• The candidate will also demonstrate success leading analytics and a large analytical team as well as vast experience working with a wide range of data in order to predict financial metrics for a business. A suitable candidate will additionally have demonstrated experience building and leading quantitative analyses as well experience building response and risk models for a business. As a bonus, the candidate will have gathered experience working with large data-sets and computing systems such as Hadoop.
• Communication Skills: Excellent communication skills in both written and verbal form are a must have for the Head of Analytics. The Head of Analytics will be meant to interact with numerous departments’ personnel and departmental heads/management aiding them in the proper application of data, leading to functional improvement.
• More so, communication skills will be necessary in the creation of engaging reports and presentations for senior data analytics management and key stakeholders. These reports must be engaging, clear, concise, and convincing, having been tailored to suit and appeal to the audience at hand.
• Computer Skills/Ms Office/Software: The Head of Analytics must also have excellent computer skills and be highly proficient in the use of Ms Word, Ms Excel, PowerPoint, Salesforce, SQL server reporting services, Tableau, analysis services, or any other data visualization tools.
• Analytics: A candidate for this position must demonstrate a passion for research and data and be highly skilled in performing quantitative analyses on various business functions, for example, on consumer behavior and trends. The candidate must also be highly skilled in the use of SQL, being able to draw complex queries that ultimately lead to improvements in business performance.
• Interpersonal Skills: The candidate for this position will be self-motivated, proactive, service-oriented, have exceptional problem-solving skills, work comfortably in a cross-functional setting, and have an ability to remain calm and composed under stress and uncertainty.
• People Skills: The Head of Analytics must also have a natural ability to make strong, lasting, and meaningful connections with others, which will aid him in the execution of his duties in this highly collaborative role.

All your information will be kept confidential according to EEO guidelines.

• Submit your resume here: Application Link

• Extremely competitive, willing to match