Analytics Manager Job Description Template
Our company is looking for a Analytics Manager to join our team.
Responsibilities:
- Own set up of all experimental initiatives, monitoring, and post-experiment analysis;
- Present project progress, issues and mitigations to all stakeholders;
- Consult with the client to understand their analytic needs and the deliverables;
- Prioritize and delegate ad hoc analysis for the business units;
- Set up automated dashboards and monitoring as well as alerting systems for business units and finance to monitor drivers of their business;
- Partner with product, engineering, and marketing to improve our products and prioritize analyses for impact;
- Complete your share of the projects;
- Drive user training and on-going support;
- Document data requirements and think through complex problems to make actionable recommendations;
- Create value for third-parties;
- Recruit and lead a high-performing team of analysts;
- Develop Online Merchandising Solutions Analytics roadmap, prioritizing development of reporting capabilities based on business need;
- Build a dashboard strategy to monitor key business KPIs;
- Build for test and learn strategies (A/B test, multivariate test, etc.);
- Set the agenda for the team.
Requirements:
- Preferably able to understand the use of predictive modelling and machine learning and to identify business problems where those can be applied;
- Bachelor’s degree;
- Strong interpersonal skills;
- Approaches business challenges with creativity and an understanding of data to design analytical approaches that answer core business questions;
- Knowledge of Machine Learning/Artificial Intelligence is a plus;
- Knows how to identify, recruit, lead, and retain analysts/data scientists;
- Proven track record of building an experimental framework preferred (not required but need to have a perspective on it);
- 2+ years experience leading a highly technical team in a dynamic environment;
- Expert level experience with multiple data related programming languages such as Python, R, SAS, SQL;
- Exceptional communication skills;
- Experience in defining KPIs and metrics that encapsulate business operations;
- BS or MS in computer science, Data Science or similar;
- Ability to handle multiple tasks, good time management and organizational skills;
- Previous experience with a digital subscription product;
- Hands-on experience in architecting and developing actionable and insightful dashboards and reports.