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Lead Data Analyst, Customer Experience (Remote) ID-12570

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."

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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 models

  • Experiment with new models and techniques to ensure our solutions grow with us

  • Align all data projects with organization goals

  • Build relationships with managers and leaders to size analytical opportunities and create delivery plans to ensure we are positioned to support quality business cases and deliver ROI

  • Facilitate analytical conversations with the business around “the art of the possible using data science”, explore data from a modelling perspective, and perform initial exploratory data analysis to assess business value

  • Ensure model implementations conform to regulatory requirements and produce clear documentation to support

  • Manage analytical projects and coordinate activities with other shared service partners by prioritizing relevant activities and providing subject matter expertise

  • Undertake personal development to ensure up to date skills and knowledge

 

Required Experience

  • Seven (7) years of relevant experience in data science or related analytical field

  • Advanced knowledge of statistical / data mining methods and application

  • Advanced knowledge of statistical and analytical model development 

  • Advanced knowledge of data modelling techniques and tools; R, Python, SAS, etc

  • Advanced knowledge of visualization tools like PowerBI, Tableau, Quik, etc.

 

Required Leadership Traits and Characteristics

  • Strong project management, collaboration and communication skills

  • Ability to apply logic and reasoning to identify/implement solutions to complex business problems

  • Business and financial acumen

  • Curiosity and drive to learn and keep up with market trends and innovations

  • Ability to lead, mentor and motivate a team, engage and influence stakeholders at all levels

  • Able to adapt and be flexible in a complex transformational environment

  • Clearly and confidently convey information to a wide audience

  • Open to alternative solutions; ability to use logic to evaluate and measure strength and weakness

  • Establish and maintain a high level of trust and credibility

 

Formal Education, Qualifications or Training

  • Master’s Degree in Computational Mathematics, Statistics or related field

  • Certified specialist in predictive analytics or other data science related certifications

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