Job Description
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 (and do some of it yourself as well!) across a wide area of responsibilities
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 and investments that make analytics a strategic weapon for the company
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 be sure 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 make sure that the entire company is aligned on goals and how to drive towards them Data engineering to be sure that analytics has access to data and tools needed Data science to be sure that work isn't being duplicated and everyone understands our business in the same way
OTHER THINGS
Leadership/Supervisory/Support Role: The Head of Analytics is first and foremost a leader within the department overseeing all activities of the data analytics and data warehousing departments. He leads initiatives relating to the optimization of existing departmental policies and leads initiatives that relate to individual department optimization leading to performance improvement across the business. The Head of Analytics drives performance of analytics solutions to impact overall business results while keeping costs in check and ensuring the department remains within the planned budget. The Head of Analytics is also responsible for setting the departmental vision and culture and championing for the use of data in making key business decisions. The Head of Analytics is in charge of driving the day-to-day analytical approaches and ... (truncated, view full listing at source)