Senior Manager, Data Analytics

About the Role

Key Responsibilities

• Identify suitable data sources, perform initial data quality checks, and prioritize requirements.
• Translate business requirements into strategic initiatives, build business cases, and drive business impact.
• Recommend and utilize appropriate visualization tools, generate graphical representations, and present data stories that clearly communicate insights to business leaders.
• Transform data into actionable insights that drive decision-making and strategic initiatives across the organization, with a specific focus on Contact and Operation Excellence.
• Apply statistical techniques, conduct experiments, and guide junior members in data tools.
• Develop data quality strategies, implement Data Quality Management (DQM) procedures, and lead data quality initiatives.
• Lead and develop a high-performing data analytics team through effective mentoring, training, and performance management.
• Work closely with cross-functional teams, including IT, marketing, finance, and operations, to ensure alignment of data initiatives with business objectives.

Requirements

• Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field.
• Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field.
• Or 6 years' experience in data analysis, data science, statistics, or related field.
• One year of supervisory experience.
• Proficiency in data analytics tools (e.g., SQL, Python, R).
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Strong understanding of data management and governance.
• Excellent problem-solving and analytical skills.
• Ability to translate complex data into clear, actionable insights for business leaders.

Nice to Have

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

Qualifications

• Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field.
• Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field.
• Option 3: 6 years' experience in data analysis, data science, statistics, or related field.

Benefits & Perks

• Competitive pay with performance-based bonus awards.
• Health benefits including medical, vision, and dental coverage.
• Financial benefits such as 401(k), stock purchase, and company-paid life insurance.
• Paid time off including PTO, sick leave, parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits including 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.
• Annual salary range of $90,000.00-$180,000.00 plus additional bonuses and stock options.