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

At arenaflex, we're committed to protecting people, enhancing lives, and preserving the planet. As a trusted partner to many of the world's leading brands, we're proud to serve consumer and business customers across multiple industries. Our legacy of excellence is built on a foundation of innovation, collaboration, and a passion for delivering exceptional customer experiences. We're seeking an experienced Lead Data Analyst, Customer Experience to join our team. As a key member of our data science team, you'll lead the development and maintenance of solutions related to end-to-end customer experience data, analytical reporting, business trends, and correlations. Your expertise will help us prioritize and optimize business initiatives, driving efficiency and quality improvements in customer experience.

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 succeed in this role, you'll need 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:

Collaborate with data architecture and business intelligence teams to ensure data quality and governance across shared systems and shared applications.

Ensure Data Quality and Integrity:

Interpret and analyze data problems, translating them into meaningful information and visualizations for 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 that support ongoing and future data needs.

Test and Evaluate Performance of Recommended Solutions:

Quantify outcomes and manage the tuning cycle for ongoing improvement to systems and models.

Experiment with New Models and Techniques:

Ensure our solutions grow with us by exploring 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 that ensure we're positioned to support quality business cases and deliver ROI.

Facilitate Analytical Conversations:

Explore data from a modelling perspective, perform initial exploratory data analysis to assess business value, and ensure model implementations conform to regulatory requirements.

Manage Analytical Projects and Coordinate Activities:

Prioritize relevant activities and provide subject matter expertise to other shared service partners.

Undertake Personal Development:

Ensure up-to-date skills and knowledge in data science and related fields.

Required Experience:

* Seven (7) years of relevant experience in data science or a 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 (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 a related field

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

Why Choose Us?

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 we love to promote 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

Join Our Team:

We're looking for individuals who want to make a difference where our customers live and work. If you're passionate about data science, customer experience, and innovation, we encourage you to apply. arenaflex is a Drug-Free workplace and is committed to complying with all Federal, State, and local laws related to the employment of qualified individuals with disabilities.

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