Top Remote Data & Analytics Jobs in Atlanta, GA

This role involves writing user stories, supporting agile team processes, and driving customer discovery to enhance technology solutions for clients.

The Digital Analyst will transform data into insights, guiding product teams and enhancing player experiences through analytics and reporting.

The Actuarial Specialist produces analyses, manages projects, and oversees team workload to enhance actuarial processes in the organization, ensuring business growth and profitability.

The Big Data Lead will manage database development, ETL/ELT processes, and data warehousing, optimizing performance and ensuring data pipelines work reliably.

Design, build, and maintain data lakes, data warehouses, and end-to-end data pipelines for a multi-tenant SaaS platform. Lead code and design reviews, write infrastructure-as-code, optimize performance and scalability, participate in data governance, mentor junior engineers, evaluate new technologies, automate tests, collaborate cross-functionally, and join on-call rotation to ensure reliable data delivery.

The Data & Analytics Architect will design and implement analytics solutions, support client engagements, and lead data architecture projects, requiring extensive technical and consulting skills.

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

Lead enterprise data architecture on Snowflake, define Medallion Architecture and data modeling standards, guide dbt/Python pipeline frameworks, enforce HIPAA-compliant governance, optimize performance and cost, and mentor engineers while collaborating with analytics, clinical, and product stakeholders.

Lead BI reporting and advanced analytics to optimize marketing campaigns and ROI. Build dashboards, manage multi-source data, ensure data governance, provide actionable insights, mentor juniors, and partner with cross-functional teams to guide strategy.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.