Senior Manager, Data Analytics

Position Summary

Senior Manager, Data Analytics to lead advanced data initiatives and standardization of KPIs to drive strategic business decisions across eCommerce, Merchandizing and Operations. This role requires expertise in data sourcing, quality management, and visualization to translate complex data into actionable insights. The successful candidate will collaborate across functions to develop data strategies, mentor team members, and ensure alignment with business objectives.

Leveraging analytical tools and methodologies, this position supports continuous improvement and innovation while maintaining high standards of data governance and integrity to enhance operational effectiveness and customer value.

• Identify and evaluate data sources aligned with business requirements and ensure data quality standards are met.
• Translate complex business problems into data-driven solutions using advanced analytics and automation techniques.
• Develop and implement data visualization strategies to communicate insights effectively to stakeholders.
• Lead data strategy initiatives, ensuring alignment with enterprise data governance, quality, and security policies.
• Mentor and guide team members on analytics methods, data storytelling, and best practices.
• Collaborate cross-functionally to drive data-enabled decision-making and continuous improvement.
• Oversee data quality management, profiling, cleansing, and monitoring activities to maintain data integrity.

• Extensive experience in data analytics, big data technologies, and statistical modeling to drive business insights.
• Proficiency in SQL, Power BI, and advanced data visualization tools to create compelling, actionable reports.
• Strong knowledge of data governance, data quality management, and data strategy principles.
• Ability to translate complex business problems into data-driven solutions using analytical methods and automation techniques.
• Demonstrated leadership in mentoring teams and managing cross-functional projects aligned with business objectives.
• Excellent communication skills to influence stakeholders and present data insights effectively.

• Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years of experience in data analysis, data science, statistics, or related field.
• OR Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years of experience in data analysis, data science, statistics, or related field.
• OR 6 years of experience in data analysis, data science, statistics, or related field.
• 1 year’s supervisory experience.

• Data science, data analysis, statistics or related field experience.
• Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
• Related industry experience (retail, merchandising, healthcare eCommerce).
• Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (SQL, Python, Spark, Scala, R, Power BI, Tableau).
• Supervisory experience.

• Competitive pay $90,000 - $180,000 per year, plus performance‑based bonus awards.
• Health benefits:
  
  medical, vision and dental coverage.
• 401(k) retirement plan, stock purchase plan, company‑paid life insurance.
• Paid time off: PTO, sick leave, parental leave, family care leave, bereavement, jury duty, voting leave.
• Short‑term and long‑term disability, company discounts, military leave pay, adoption and surrogacy expense reimbursement.
• Live Better U education benefit program covering tuition, books and fees for eligible associates.
• Other benefits: vacation or PPTO, family care leave, and additional employee assistance programs.