Top Data & Analytics Jobs in Atlanta, GA

Build and maintain scalable data pipelines and Python automations for ingesting, processing, and enriching data. Integrate SaaS sources via APIs, use Databricks/PySpark/Delta Lake and AI tools to power lead generation, enrichment, deduplication, and entity resolution. Collaborate cross-functionally to translate business needs into automated, production-ready solutions.

Own and improve the client data, performance, and reporting platform, building workflows, automation, and AI-enabled controls to ensure accuracy and anticipate problems. Partner across investing, trading, compliance, operations, and tech to design data architecture, decision-support tools, and integrated front-to-back workflows that scale and increase trust in client-facing outputs.

The Vice President of Data Strategy will lead the enterprise data strategy, managing AI/ML capabilities, ensuring data governance, and delivering insights to drive healthcare outcomes.

Analyze campaign performance across channels and segments; build recurring and ad-hoc reports and dashboards (Power BI, Salesforce); define KPIs and measurement frameworks; translate data into recommendations; monitor campaign health; support readouts and planning; improve tracking, taxonomy, and reporting consistency.

The role involves analyzing complex datasets for private equity transactions, providing insights for due diligence and performance, using various analytics tools and programming languages, and ensuring strategic decisions are informed.

Deliver Databricks-based big data solutions for customers: design and build architectures, implement Spark workloads, consult on migrations, support production deployments, manage scope and timelines, and provide escalated technical support and training.

Design, validate, and optimize fraud detection strategies for digital products (Zelle, Wires, BillPay). Perform complex analysis using SAS/SQL/Excel, track strategy performance, run defect reviews, develop fraud variables, produce reports for senior management, and partner with claims, policy, product, and engineering teams to implement mitigations and project-manage strategy requirements and testing.

Design, build, and optimize enterprise data foundations, ETL/ELT pipelines, data models, and migrations. Ensure data quality, governance, and secure integrations across financial, practice-management, CRM, and operational systems to support reporting, automation, and AI initiatives.

Analyze sales performance, build and maintain reports/dashboards, identify trends, support forecasting and revenue impact analysis, and present actionable recommendations to sales leadership and executives to improve revenue and reporting processes.

Lead architect and hands‑on senior data engineer who designs scalable data platforms and medallion architectures, optimizes ETL/ELT and data modeling, implements CI/CD and IaC, enforces data governance and security, mentors engineers, integrates BI tools, and leads client-facing technical engagements.