Senior Data Analyst, Customer Experience

📋 Description

• Oversee data mining and collection processes while ensuring governance alongside data architecture and business intelligence teams.

• Maintain the quality and integrity of data.

• Analyze and interpret data challenges; convert findings into impactful information and visual representations for executive leadership, market leaders, and other departmental heads.

• Collaborate with CX leadership to conceptualize, develop, plan, and prioritize data projects.

• Create analytical systems and predictive models to address ongoing and future data requirements.

• Assess and test the performance of suggested solutions, quantify results, and manage the tuning cycle for continuous enhancement of systems and models.

• Innovate with new models and techniques to ensure our solutions evolve alongside our needs.

• Align all data initiatives with the organization’s objectives.

• Establish relationships with managers and leaders to identify analytical opportunities and formulate delivery plans that ensure we are equipped to support quality business cases and achieve ROI.

• Lead analytical discussions within the business regarding “the art of the possible using data science,” examine data from a modeling viewpoint, and conduct initial exploratory data analysis to evaluate business value.

• Ensure that model implementations comply with regulatory standards and provide comprehensive documentation for support.

• Manage analytical projects and coordinate activities with other shared service partners by prioritizing pertinent tasks and offering subject matter expertise.

• Engage in personal development to keep skills and knowledge current.

⛳️ Requirements

• A minimum of seven (7) years of relevant experience in the analytical field - required.

• At least seven (7) years of experience in data science - preferred.

• In-depth understanding of statistical and data mining methods and their applications.

• Proficient in the development of statistical and analytical models.

• Extensive knowledge of data modeling techniques and tools such as R, Python, SAS, etc.

• Advanced proficiency in visualization tools like Power BI, Tableau, Quik, etc.

• A Master's Degree in Computational Mathematics, Statistics, or a related field - preferred.

• Certification as a specialist in predictive analytics or other data science-related credentials - preferred.

🏝️ Benefits

• Immediate start for Full-Time Colleagues - No Waiting Period!

• Competitive salary.

• Comprehensive health benefits including Medical, Dental, Vision, Disability, and Life Insurance.

• Paid vacation and sick days.

• Company-paid holidays and floating holidays.

• 401(k) retirement plan with company-matching contributions.

• Opportunities for professional and personal growth.

• Access to training and development programs.

• Tuition Reimbursement benefits available for Full-Time Colleagues.