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We are proud to be a member of the Rentokil family of companies, the global leader in Pest Control and other services across more than 90 countries. We pride ourselves on being a trusted partner to many of the world's leading brands and serve consumer and business customers across multiple industries. We are extremely proud of our legacy of excellence and constantly work to fulfill our mission to "protect people, enhance lives, and preserve the planet."
The role leads the development and maintenance of solutions related to end-to-end customer experience data; analytical reporting, business trends and correlations, to predictive modelling which will assist with prioritization and optimization of business initiatives as they relate to improving efficiency and quality of the customer experience. This includes technical design, process design, partnership with data architecture teams to ensure data quality and governance across shared systems and shared applications.
Key Performance Indicators
Quality measure of data science solutions
Accuracy measure of predictions
Average time from requirements to recommendations
Measure of insights generated per month
Efficiency gained or business value created through recommendations derived from data science analysis/modelling
Principal Duties and Responsibilities
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Responsibilities and essential job functions include but are not limited to the following:
Lead data mining and collection procedures; maintain governance with data architecture and business intelligence teams
Ensure data quality and integrity
Interpret and analyze data problems; translate into meaningful information and visualizations to executive leadership, market leaders and other department heads
Conceive of, develop, plan and prioritize data projects in partnership with CX leadership
Build analytic systems and predictive models to support ongoing and future data needs
Test and evaluate performance of recommended solutions, quantify outcomes and manage tuning cycle for ongoing improvement to systems and