Senior Data Analyst, Operations - Last Mile Delivery

About the Role

Key Responsibilities

• Analyze large datasets to identify performance trends, root causes, and operational insights. Generate recurring and ad-hoc reports to inform strategic decisions and daily execution.
• Monitor real-time metrics and support incident response by identifying issues, escalating critical items, and partnering cross-functionally to drive resolution and communication.
• Build and maintain models (e.g., forecast, capacity, or scenario planning) that support operational and business decisions, using tools such as SQL, Tableau, or Excel.
• Design, build, and maintain dashboards that communicate performance clearly to business stakeholders, using tools such as Tableau.
• Partner closely with operations managers, product teams, and field stakeholders to translate insights into coordinated actions. Act as the data lead during live events, helping drive decisions that ensure delivery quality and customer satisfaction.

Requirements

• 5+ years of experience writing complex SQL queries and building business intelligence reports using Tableau or Power BI.
• Proven ability to define requirements, work with large datasets, and use data and metrics to generate meaningful business insights.
• Comfortable working in a fast-paced, real-time environment; able to quickly adapt to changing priorities and support incident response with data.
• Experience making data-driven business recommendations and influencing cross-functional stakeholders across operations, product, and leadership teams.
• Effective communicator who can clearly explain analysis and insights to both technical and non-technical audiences.

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 field.
• Related industry experience (for example, retail, merchandising, healthcare, eCommerce).
• Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau).

Qualifications

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

Benefits & Perks

• Competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet.
• Health benefits include medical, vision and dental coverage.
• Financial benefits include 401(k), stock purchase and company-paid life insurance.
• Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
• PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes, depending on job classification and employment length.
• Live Better U education benefit program covering tuition, books, and fees for associates.