Top Remote Analysis Reporting Jobs in Atlanta, GA

Designs, develops, tests, and executes SQL-based data migrations and integrations for higher education Advancement systems. Builds data pipelines, staging tables, transformation logic, stored procedures, validation processes, and database-driven integrations connecting legacy platforms, institutional databases, and Salesforce. Configures Salesforce, troubleshoots data and performance issues, supports migration testing and deployments, and collaborates with architects, consultants, and client stakeholders. Periodic travel and client relationship development are required.

Build and maintain high-performance data lakehouse infrastructure, including Apache Iceberg maintenance workflows, compaction, snapshot expiry, manifest rewriting, and orphan file cleanup. Develop Rust-based SQL routing components, connectors, and query infrastructure. Ensure data integrity under concurrency and failures, contribute to open-source projects, operate production systems, participate in on-call support, and debug customer environments.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

Analyze marketing performance and ROI across markets, identify expansion opportunities, evaluate market saturation and competition, and support investment decisions. The role requires advanced SQL, funnel analysis, dashboard development, multi-source data integration, statistical reasoning, and clear communication of recommendations to marketing and leadership. The analyst will also use AI tools such as Claude and partner with data engineering to improve data quality and decision support.

Supports NOAA Fisheries data integration through source-to-target mapping, data quality analysis, interoperability testing, compliance validation, metadata documentation, requirements analysis, dashboard specifications, and operational documentation. The role bridges data engineering and regulatory compliance for a federal environmental data integration program.

Build scalable Databricks Lakehouse architectures and ETL/ELT pipelines using Spark and Delta Lake across AWS, Azure, and GCP. Tune performance and cloud costs, integrate MLflow for AI model deployment, and implement CI/CD and Infrastructure-as-Code with Terraform or Databricks CLI. The role also enforces governance and security through Unity Catalog, supports regulatory compliance, and collaborates with clients, data scientists, architects, and engineering teams to deliver production-ready AI solutions.

Reviews and compares AI chatbot responses using predefined criteria for accuracy, relevance, completeness, clarity, consistency, and quality. Documents evaluation guidelines, analyzes workflows and data, identifies recurring issues, prepares reports, tracks quality metrics, and collaborates with project teams. This fully remote, 16-week contract requires 8 hours per day, five days per week, with Pacific Time overlap and possible weekend work.

Leads the architecture and evolution of scalable data platforms, pipelines, and data products across multiple teams. Designs Snowflake and cloud-based solutions for batch, streaming, CDC, ingestion, transformation, orchestration, and data delivery. Establishes engineering standards, governance, observability, testing, CI/CD, and reliability practices; mentors engineers; guides architecture and roadmap decisions; resolves complex incidents; and evaluates AI, automation, and MCP-enabled data capabilities.

Build and operate data-intensive web products and APIs, extend high-throughput ETL pipelines and scrapers, ensure reliability/observability, design self-scaling services, participate in code review, and collaborate across product, data, and infrastructure teams to meet production SLAs.

Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data.