Experienced Lead Data Analyst, Customer Experience – End-to-End Data Solutions Development

At arenaflex, we're on a mission to protect people, enhance lives, and preserve the planet. As a trusted partner to many of the world's leading brands, we're committed to delivering exceptional customer experiences across multiple industries. We're now seeking an experienced Lead Data Analyst, Customer Experience to join our team and lead the development and maintenance of solutions related to end-to-end customer experience data.

About arenaflex

arenaflex is a global leader in Pest Control and other services, serving consumer and business customers across more than 90 countries. We pride ourselves on being a world-class team that rewards high performance and promotes from within. Our legacy of excellence is built on a commitment to innovation, quality, and customer satisfaction.

Job Summary

As a Lead Data Analyst, Customer Experience, you'll be responsible for leading the development and maintenance of solutions related to end-to-end customer experience data. This includes technical design, process design, partnership with data architecture teams to ensure data quality and governance across shared systems and shared applications. You'll work closely with Cx leadership to build analytic systems and predictive models to support ongoing and future data needs.

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.

• Lead Data Mining and Collection Procedures: Maintain governance with data architecture and business intelligence teams to ensure data quality and integrity.
• Interpret and Analyze Data Problems: Translate data problems into meaningful information and visualizations to executive leadership, market leaders, and other department heads.
• Conceive of, Develop, Plan, and Prioritize Data Projects: Partner with Cx leadership to 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: Ensure our solutions grow with us by experimenting with new models and techniques.
• 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: Explore data from a modelling perspective, and perform initial exploratory data analysis to assess business value.
• Ensure Model Implementations Conform to Regulatory Requirements: Produce clear documentation to support model implementations.
• Manage Analytical Projects and Coordinate Activities: Prioritize relevant activities and provide subject matter expertise to manage analytical projects and coordinate activities with other shared service partners.

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
• Ability 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

Why Choose arenaflex?

A career with arenaflex can be a professional trajectory filled with opportunity. We pride ourselves on being a world-class team that rewards high performance and promotes from within. We offer competitive pay and many of our roles offer performance incentives.

Total Rewards Program

* Professional and Personal Growth: Multiple avenues to grow your career, training and development programs available, tuition reimbursement benefits (for FT colleagues)

• Health and Wellness: Health benefits including medical, dental, vision, disability, and life insurance, plus much more
• Savings and Retirement: 401(k) retirement plan with company-matching contributions
• Work-Life Balance: Vacation days & sick days, company-paid holidays & floating holidays, a company mindset that prioritizes health, safety, and flexibility

Equal Employment Opportunity

arenaflex is an equal employment opportunity employer. We are committed to complying with all Federal, State, and local laws related to the employment of qualified individuals with disabilities.

Pay Transparency

arenaflex is committed to pay transparency. We believe in fair compensation for all employees.

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Apply Now

If you're a motivated and experienced data analyst looking for a new challenge, we encourage you to apply for this exciting opportunity. Please click the link below to submit your application. Apply Job! Apply for this job