Top Remote Data & Analytics Jobs

Lead ownership of intake and funnel conversion measurement, event taxonomy, tracking validation, and CRO across landing pages, eligibility flows, checkout, and analytics. Build trusted funnel reporting to inform weekly spend decisions, partner with product/engineering/marketing/clinical/legal, design experiments and requirements, and operationalize a durable CRO system.

Build end-to-end data and analytics features: ingest and model data, build transformations and pipelines, create client-facing dashboards and interfaces, and develop LLM-powered workflows to accelerate analysis and app development. Partner with stakeholders, perform exploratory analyses, and ensure data quality, observability, and maintainability while influencing data engineering strategy.

Lead end-to-end customer engagements to architect, implement, and optimize large-scale Spark/Databricks workloads. Troubleshoot and tune PySpark and DBSQL jobs, design PoCs and workshops, advocate strategically for customers, collaborate cross-functionally, and mentor junior engineers on Lakehouse best practices.

Analyze customer and caregiver data to identify workflow improvements, build dashboards and visualizations, support Customer Success with QBRs and presentations, translate findings into actionable recommendations, and create scalable data processes while advising Product and Engineering.

Lead architecture, implementation, and optimization of scalable data platforms, ETL/ELT pipelines, and data governance. Ensure security and compliance, mentor junior engineers, drive CI/CD and IaC for data workflows, and collaborate with stakeholders to deliver actionable analytics and reporting.

Remote paid internship supporting Infrastructure reporting: gather and clean data, build small databases, run queries, analyze trends, generate and maintain reports and monthly decks, document procedures, and present findings under manager supervision.

Research, evaluate, and manage partnerships with data providers. Assess datasets for coverage and interoperability, support deal structuring, maintain partnership pipeline, and collaborate with product, engineering, and legal to integrate data into the platform.

The Fraud & Risk Lead will manage end-to-end fraud operations for a global credit card program, focusing on monitoring, analysis, and mitigation of fraud risks. Responsibilities include building fraud detection systems, running investigations, and improving operational processes.

Design and deliver enterprise data infrastructure and architectures across on-prem and Azure cloud. Build ETL/ELT pipelines, data models, governance, security, and migrations; mentor teams and align data platforms to business, compliance, and analytics needs.

As a Trainee Data Analyst, assist in data collection, cleaning, analysis, and support teams with reporting needs using SQL and visualization tools.