Top Remote Data & Analytics Jobs in Atlanta, GA

The Payor Data Analyst manages client data, ensures data quality, runs reports, and collaborates with teams to improve data fidelity.

The Senior Business Systems Analyst will lead Prophet 21 initiatives, focusing on system configuration, integration, and process optimization while collaborating with multiple departments.

The Senior Data Engineer will design, implement, and optimize scalable data solutions, working with data pipelines and collaborating with cross-functional teams in healthcare.

The Data Engineer designs and maintains scalable data infrastructure to support enterprise products, ensuring efficient data ingestion, transformation, and delivery across systems while collaborating with cross-functional teams.

The EDI Growth Specialist at Alvys focuses on creating and maintaining EDI data mappings, translating various data formats, collaborating with team members, and validating mappings for EDI integrations.

Design, build, and maintain scalable, reliable data pipelines and services. Write well-tested Python and SQL code, work with orchestration (Airflow), containers, and cloud infrastructure. Collaborate cross-functionally to deliver data products and improve development processes.

The role involves deploying ForgeRock's identity technology, analyzing access patterns, developing IAM strategies, and integrating with privileged access management services.

Analyze marketing and product data, build dashboards and visual reports, develop forecasting and predictive models, automate reporting pipelines, document data assets, and present actionable insights to product, marketing, engineering, and finance stakeholders in fintech and crypto transaction environments.

The GTM Operations, Strategy and Insights Lead will analyze data to generate insights for Sales, Marketing, and Customer Success, supporting strategic initiatives and performance metrics within Thinkific.

Design and manage curated fact and dimension datasets, semantic/subject-area models, and governance. Partner with BI and data engineering to enable self-service analytics, ensure data quality and documentation, and prepare datasets to support future ML and advanced analytics.