Senior Data Analyst, Customer Experience

Terminix • Pennsylvania - Virtual, PA

1d • Remote

About The Position

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.

Requirements

• Seven (7) years of relevant experience analytical field - required
• Advanced knowledge of statistical / data mining methods and applications
• 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 Power BI, Tableau, Quik, etc.
• 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 others, 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

Nice To Haves

• Seven (7) years of experience in data science - preferred
• Master’s Degree in Computational Mathematics, Statistics or related field - preferred
• Certified specialist in predictive analytics or other data science related certifications - preferred

Responsibilities

• 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

Benefits

• Health benefits including Medical, Dental, Vision, Disability, and Life Insurance plus much more
• 401(k) retirement plan with company-matching contributions
• Vacation days & sick days
• Company-paid holidays & floating holidays
• Tuition Reimbursement benefits (for FT Colleagues)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior