Top Remote Data & Analytics Jobs

Serve as a senior advisor on enterprise data architecture and Adobe Experience Platform. Lead client discovery, design XDM schemas and identity resolution, guide data ingestion/ETL, governance, and Customer 360 initiatives. Provide technical leadership, mentor teams, review architecture, and contribute templates and best practices across consulting engagements.

Hands-on technical lead designing and delivering scalable, secure Azure-based BI and analytics solutions. Own end-to-end Power BI architecture, mentor engineers, guide implementations, optimize performance, and advise clients on governance, deployment, and AI-augmented analytics. Drive discovery, backlog priorities, cross-team alignment, reusable assets, and consulting pursuits.

Design, maintain, and automate GTM business data models, ensure data quality and observability, build BI-as-code pipelines (CI/CD, Git), create visualizations, and partner with Sales, Marketing, Finance, and Product to enable reliable reporting, analytics, and AI capabilities.

Lead actuarial analyses for value-based care, forecasting Medicare risk and financial performance using large claims and EHR datasets (CCLF, BCDA). Build SQL data structures, IBNR and risk score projections, create executive dashboards, support budgeting, and ensure regulatory compliance under CMS/CMMI programs.

Design, develop, test, and maintain client-facing software across web, backend, mobile, APIs, and automation. Translate business requirements into technical solutions, write clean code, participate in code reviews, troubleshoot and optimize applications, and recommend architectural improvements. Collaborate with clients and stakeholders, manage project priorities, mentor junior developers, and stay current with modern technologies.

Design, build, and maintain production data pipelines, perform ETL and transformations, create data models and warehouses, automate reporting, ensure data quality and security, troubleshoot workflows, collaborate with clients and teams, and produce technical documentation.

Design, develop, test, and maintain web, backend, mobile, and automation applications. Translate requirements into technical solutions, write clean code, participate in reviews, troubleshoot systems, collaborate with distributed teams, and adopt new technologies to deliver scalable, reliable software.

Lead data engineer responsible for designing, building, and operating production data pipelines using Python, Airflow, Snowflake, DBT, and AWS. Automate ETL, implement CI/CD, testing and DBT validations, troubleshoot pipelines, and work client-facing to deliver reliable data solutions.

Use NIQ data and proprietary tools to analyze industries, markets, and consumers; simplify and visualize findings; present actionable recommendations; generate revenue leads; coach junior staff; lead thought leadership and service-model execution; ensure thorough client briefings.

Design and govern an enterprise cloud data platform and integration pipelines (primarily Snowflake). Define data models, medallion layers, and standards; build ELT/ETL pipelines, CDC/event-driven ingestion, data quality, metadata, and lineage. Partner with business stakeholders, mentor engineers, and provide architectural oversight to support analytics, reporting, and operational use cases.

Manage ingestion, processing, QC, and production workflows for litigation cases. Diagnose and resolve complex eDiscovery data issues, document chain of custody, advise on data strategy, and partner with Product and Engineering to improve the platform.

The Senior Business Systems Analyst leads data requirements for enterprise data initiatives, bridging business and technology to ensure data governance and quality in a regulated financial environment.