Top Senior Data & Analytics Jobs in Atlanta, GA

Build and operate production data pipelines connecting marketing, CRM, licensing, payment, and operational systems with Databricks. Develop PySpark and SQL ETL/ELT workflows, dimensional models, APIs, data quality monitoring, identity resolution, and customer segmentation data flows. Support HubSpot enrichment, lifecycle marketing, campaign attribution, funnel reporting, and marketing ROI analytics while maintaining documentation, alerting, and incident response processes.

Administer enterprise Oracle, Microsoft SQL Server, and PostgreSQL databases in high-availability hybrid cloud environments. Responsibilities include database installation, configuration, maintenance, performance tuning, security hardening, encryption, backup and disaster recovery, and migration to Azure Government Cloud. The role supports contract management and financial tracking systems, applies DISA STIGs, manages clustering and partitioning, and ensures mission-critical data availability for government users.

Leads enterprise data architecture, SQL Server administration, data warehouse design, ETL/ELT pipelines, Azure data platforms, data governance, master data management, and business intelligence strategy. Partners with business and IT stakeholders to deliver scalable analytics solutions across financial, HR, CRM, operational, and practice management systems. Provides technical leadership, vendor coordination, architecture documentation, and mentorship.

Lead the redesign and implementation of a scalable Azure and Databricks lakehouse. Responsibilities include migrating Azure Data Factory pipelines, building Delta Lake architecture, developing SQL and Python transformations, establishing engineering standards, monitoring data quality, partnering with stakeholders, leading technical projects, mentoring engineers, and supporting future team growth.

Leads data engineering, data science, and AI/ML strategy for a media organization. Oversees Snowflake, AWS-based ETL and streaming pipelines, data warehouses, governance, analytics integrations, dashboards, experimentation, and AI initiatives. Builds and mentors teams while partnering with Product, Editorial, Engineering, and business stakeholders to deliver scalable data solutions and actionable insights.

Leads enterprise risk analytics strategy, teams, and oversight capabilities. Develops forward-looking risk indicators, dashboards, reporting, AI-enabled analytics, AML analytics, and continuous monitoring programs. Establishes standards for analytics governance, testing, documentation, validation, and quality assurance. Partners with senior leaders and cross-functional teams to translate analysis into strategic recommendations, improve risk management processes, and drive automation, standardization, and data infrastructure transformation.

Analyze complex datasets, optimize SQL queries, develop dashboards and visualizations, ensure reporting accuracy, and translate findings into actionable recommendations. The role supports strategic reporting and data-driven decisions while communicating insights to stakeholders. Experience with cloud data environments and AI-powered analytics tools is preferred.

Build and maintain production-grade data models while migrating workflows from Alteryx to dbt. Manage Dagster or Airflow pipelines in Redshift, create Tableau dashboards, and translate technical data into RevOps insights. Partner with Sales, Marketing, and Customer Experience leaders on KPI reporting, ABM, and customer health scoring. Explore AI, LLM, predictive analytics, and SageMaker machine learning applications including churn prediction and lead scoring.

Manage quantitative analytics consulting projects, including hypothesis development, data collection, modeling, analysis, research, and insight generation. Oversee analysts, collaborate with clients and partners, deliver high-quality project outcomes, manage demanding workloads, and coach team members. The role requires strong quantitative, communication, documentation, and presentation skills, proficiency with analytics software, and regular travel.

The Senior Applications Analyst oversees Business Needs Assessments for Oracle Cloud ERP, optimizing applications and translating business requirements into system designs. Responsibilities include leading documentation, managing the application lifecycle, and collaborating with technical teams to ensure functionality and data integrity.