Senior Data Engineer

What you'll do

• Lead analysis of A/B tests, multivariate tests, and feature rollout experiments
• Evaluate experiment outcomes against predefined business objectives and success metrics
• Identify and explain the key drivers behind experiment performance
• Assess impact across conversion, revenue, engagement, retention, customer experience, and operational metrics
• Translate analytical findings into actionable recommendations for product and business stakeholders
• Partner with experimentation teams to develop measurement strategies and success criteria
• Build repeatable frameworks for experiment performance evaluation and business impact measurement
• Analyze clickstream, customer journey, and behavioral data to understand customer interactions across digital channels
• Identify customer behavior patterns, friction points, and conversion opportunities
• Conduct funnel analysis to understand customer progression through digital experiences
• Develop customer segmentation and behavioral cohort analyses
• Evaluate customer engagement, adoption, retention, and conversion trends
• Support initiatives focused on customer experience optimization and personalization
• Perform deep-dive investigations into unexpected experiment outcomes and business performance changes
• Quantify and explain cannibalization effects, incrementality impacts, seasonality influences, customer migration patterns, traffic shifts, feature adoption behavior, funnel performance changes, and customer retention trends
• Conduct root-cause analyses to identify factors influencing customer and business outcomes
• Develop analytical frameworks that help quantify business value realization from product and customer experience initiatives
• Serve as the primary analytics liaison across experimentation teams, product management, customer experience teams, business stakeholders, and data engineering teams
• Translate complex analytical findings into business-friendly narratives
• Present recommendations and insights to both technical and executive audiences
• Facilitate discussions that align business objectives with analytical approaches
• Drive adoption of data-driven decision-making across the organization
• Design and maintain experimentation dashboards and performance scorecards
• Define and standardize experiment measurement KPIs and reporting frameworks
• Develop executive-ready reports highlighting key findings, business impacts, and recommendations
• Ensure consistency and governance of experiment reporting across teams
• Support self-service analytics initiatives by creating reusable analytical assets and datasets
• Utilize BigQuery, Dataform, SQL, and Python to prepare and analyze experimentation datasets
• Build lightweight data transformations supporting experimentation and customer analytics
• Partner with Data Engineering teams to ensure required datasets are available and reliable
• Validate data quality and consistency across experimentation and analytics platforms
• Support integration of experimentation, clickstream, customer, and transaction datasets

Requirements

• Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Analytics, Economics, or a related field
• 4 – 6 years of experience in experimentation analytics, product analytics, customer analytics, digital analytics, or related analytical roles
• Strong hands-on experience analyzing A/B testing and experimentation programs
• Deep understanding of customer behavior analytics, clickstream analysis, and customer journey measurement
• Advanced SQL expertise with the ability to independently investigate complex business questions
• Experience working with BigQuery and large-scale analytical datasets
• Strong understanding of statistical concepts and experimentation methodologies
• Demonstrated ability to translate analytical findings into business recommendations
• Excellent communication, presentation, and stakeholder management skills
• Experience working in Agile and cross-functional environments
• Preferred: Retail, eCommerce, Digital Commerce, or Customer Experience Analytics domain expertise
• Preferred: Experience with Adobe Analytics, Google Analytics, or similar digital analytics platforms
• Preferred: Experience supporting experimentation and feature rollout programs
• Preferred: Experience creating executive-level dashboards and performance scorecards

Tech stack