At Pareto Intelligence, what you build has impact on millions and works to better Healthcare. You’ll do this in one of the fastest growing companies in Healthcare Analytics, with a culture that promotes innovation, freedom, growth, and humor.
Pareto Intelligence seeks an experienced Manager for its Applied Analytics Team who will help drive the strategy and execution of our analytics offering to our customers. We seek individuals with a proven track record of using data to develop new business insights and building scalable analytics solutions. Ideal candidates should be comfortable operating in new and rapidly evolving areas, dealing with complex problems and communicating insights and recommendations to customers and business stakeholders.
We are a small company with great ambitions looking to grow! As such, we seek for candidates who are excited to be a part of the team and bring a positive, flexible attitude. Over time your responsibilities may change, and we may throw new complex/challenging problems at you to solve. We are looking for a candidate who shares in our excitement for what we’re looking to do and possesses a demonstrated passion, curiosity, flexibility and positive attitude!
- Ask questions and solve problems: We seek a candidate who will help drive the development of the analytics driving our customer-facing solutions and services by asking good questions, challenging assumptions and ultimately solving tough problems
- Develop New Ideas: Collaborate with customers, organizational leadership and business stakeholders to drive our data analytics strategy, roadmap and the development of our analytics solutions and capabilities. This role will be tasked with ultimate accountability and ownership for key analytical solutions and capabilities.
- Lead & Coach Others: Manage a team of data analysts, visualization specialists and other resources to develop customer facing analytics, including the development of dashboards, reports and ad-hoc analysis to solve customer and business stakeholder needs. This role will collaborate heavily with data scientists, engineers and other technical resources.
- Take Accountability for Outcomes: Participate and lead in all project phases from concept, requirements, development, test and production support. The ability to communicate with customers and manage to internal/external deadlines is critical.