Top Remote Data & Analytics Jobs in Atlanta, GA

Analyze customer behavior, forecasts, market share, retention, revenue growth, and operational performance. Develop analytics frameworks, use Tableau and Snowflake with cross-functional analytics teams, apply AI-enabled workflows, and communicate actionable recommendations to leadership to support staffing, prioritization, and strategic decision-making.

Analyze complex data to support business decisions across marketing, finance, product, sales, medical affairs, and customer success. Responsibilities include defining data requirements, developing and automating data pipelines, building interactive dashboards, identifying trends and process improvements, and presenting insights to executives and external partners. The role requires advanced SQL, Python, BI, visualization, and cross-functional analytics experience, with an emphasis on using AI to improve efficiency.

Designs and optimizes scalable data platforms, architectures, and production pipelines supporting AI and machine learning. Responsibilities include Databricks Lakehouse development, batch and real-time processing, data governance, security, monitoring, performance tuning, infrastructure planning, and collaboration with DevOps, MLOps, and cross-functional teams. The role serves as the AI team’s data engineering subject matter expert and ensures reliable, secure, cost-effective data solutions.

Designs and advances Providence’s enterprise data platform through data architecture, governance, metadata management, Snowflake modernization, legacy migrations, and scalable integration patterns. Establishes engineering, DataOps, CI/CD, repository, and data quality standards while supporting analytics, reporting, AI, and data products. Collaborates across multidisciplinary teams to implement large-scale data initiatives in a healthcare environment.

The Director of Data owns the company’s data platform, governed metrics, client identity resolution, data quality, privacy controls, and AI-ready datasets. This leader manages the data team, establishes governance and operating standards, oversees warehouse and pipeline architecture, and ensures reliable data for Finance, leadership, products, and ML/LLM systems. The role requires hands-on technical leadership, roadmap ownership, stakeholder communication, and accountability for data reliability, lineage, security, and platform costs.

Analyze credit portfolio and loan performance, forecast losses, identify risks and opportunities, and develop strategies to improve credit outcomes and origination volume. Use SQL, Python, dashboards, and visualizations to deliver actionable insights. Present recommendations to stakeholders and senior leaders while managing analytical projects, A/B tests, roadmaps, and business priorities independently.

Lead data engineering strategy and develop enterprise data lake solutions on AWS. Build data pipelines using AWS data integration, engineering, and analytics resources, develop API services with FastAPI or Flask, optimize engineering practices, create long-term data plans, and represent the team in executive meetings.

Lead the architecture and hands-on development of an AI-enabled data migration platform for legal software. Own extraction, transformation, orchestration, data quality, observability, and scalable go-live workflows. Partner with product management to define roadmap priorities, lead a focused engineering team, make architectural decisions, contribute code, and apply AI to migration assessment, mapping, validation, and automation.

Develops and maintains core backend systems, databases, data workflows, integrations, and SQL solutions supporting federal healthcare TPA services. Responsibilities include database design, stored procedures, performance tuning, ETL/ELT, APIs, EDI, cloud data technologies, modernization, interoperability, and secure handling of healthcare data. Collaborates with architects, analysts, QA, operational teams, data engineers, and vendors. The role is remote with up to 10% travel and requires an MBI (T2) background investigation.

Provides Tier 1 and Tier 2 remote technical support for hardware, software, peripherals, networks, VPN, and MFA issues. Configures and ships laptops and equipment for new hires, manages accounts and permissions across Google Workspace, Microsoft 365, Slack, and internal systems, and develops knowledge-base documentation and training guides. Supports the company’s North American expansion and remote workforce.