Top Hybrid Data & Analytics Jobs

Apply econometrics, statistics, experimentation, causal inference, and behavioral economics to Walmart business decisions. Design and analyze experiments, estimate causal impacts when experiments are unavailable, evaluate strategic trade-offs, and collaborate with business and technology teams. Projects may address pricing, memberships, sustainability, and marketplace growth. The role requires strong economics knowledge, analytical ability, curiosity, collaboration, and a self-starting approach.

Leads advanced analytics initiatives for seller risk and performance, developing complex data models, algorithms, predictive insights, and visualizations. Partners with executives and cross-functional teams to align analytics with business priorities, presents actionable recommendations, oversees data analysis projects, manages strategic partnerships, and mentors analytics professionals. The role requires strong leadership, statistical modeling expertise, programming proficiency in Python and SQL, and the ability to influence data-driven business decisions.

Designs, develops, tests, optimizes, and maintains complex ETL pipelines and data integration workflows for high-volume retail and CPG data. Troubleshoots performance issues, performs root cause analysis, optimizes code and databases, and designs schemas and data models. Collaborates with platform, cloud, data engineering, and QA teams to deliver scalable pipelines. Establishes data quality controls, CI/CD practices, reusable workflows, and recovery procedures while ensuring data integrity, security, enterprise standards, and SOX compliance.

Leads the analytics function and data strategy, using customer insights, segmentation, predictive modeling, pricing analysis, and revenue management to improve studio performance and client lifetime value. Partners with senior leadership, marketing, sales, and operations to develop pricing strategies, evaluate promotions, monitor competitors, and communicate actionable business recommendations. Builds financial models, conducts consumer research, and drives cross-functional implementation of data-informed initiatives.

Build and lead Vibe’s Marketing Science function, defining measurement strategy and frameworks for incrementality, lift studies, attribution, and marketing mix modeling. Partner with Product, Data Engineering, Sales, Client Success, clients, and measurement providers to ensure statistically rigorous performance reporting. Analyze SQL data, design experiments, resolve discrepancies, present recommendations to senior stakeholders, publish insights, and build a team of analysts and managers.

Designs and builds modern data applications, pipelines, transformations, enrichment processes, provisioning layers, and interfaces supporting clinical and operational healthcare processes. Analyzes clinical data to identify trends, collaborates with Product, Platform, and Architecture teams, mentors junior data engineers, and evaluates emerging technologies. The role emphasizes cloud computing, big data, data science, modern development frameworks, source control, documentation, and repeatable engineering practices.

Manages analytics projects, coordinates subteams and offshore resources, reviews data analysis and project outputs, and presents recommendations to clients and management. Performs data extraction, ETL, warehousing, statistical analysis, machine learning, visualization, model development, validation, and performance tuning using SAS, R, SQL, and related tools.

Analyze programmatic advertising marketplace trends, buyer behavior, auction dynamics, publisher performance, and revenue data. Build scalable reports, dashboards, and KPI frameworks; investigate performance fluctuations; identify monetization and optimization opportunities; and translate complex analyses into actionable recommendations. Partner with cross-functional teams, support strategic planning, present insights to executive stakeholders, and improve analytics workflows using SQL, automation, and business intelligence tools.

Supports research and analytics on economic, real estate, and financial trends. Responsibilities include organizing and evaluating data, developing quantitative and qualitative insights, maintaining internal databases, preparing market analyses, and creating content for presentations, webinars, podcasts, websites, and other communications.

Leads architecture, optimization, scaling, and ownership of Zoox’s enterprise and AI data platform. Builds self-healing pipelines, governance frameworks, data quality and observability systems, secure access controls, lifecycle policies, and automated CI/CD deployment infrastructure. Optimizes Databricks and AWS EMR performance and costs while enabling low-latency, AI-ready data foundations. The role also drives enterprise security, compliance, schema evolution, and developer velocity, with opportunities to apply GenAI, Terraform, and EKS.

Designs, builds, optimizes, and supports enterprise-scale batch and streaming data pipelines and lakehouse solutions. The role uses Apache Spark and Microsoft Fabric to deliver analytics-ready data for reporting, AI/ML, and decision-making. Responsibilities include ETL/ELT development, data modeling, governance, quality, security, CI/CD, observability, production support, architecture reviews, and technical documentation. The senior engineer also mentors colleagues, drives engineering standards, and collaborates with analytics, platform, security, and business teams.