Top Senior Data & Analytics Jobs in Atlanta, GA

Serve as the strategic analytics partner to GTM leadership, connecting Finance, Revenue Operations, Product, Growth, and sales leaders. Build trusted analytics infrastructure, define metrics and reporting, develop scenario models, and translate complex business decisions into executive recommendations. Own recurring business reviews and the end-to-end view of sales performance across routes to market, helping leaders evaluate product, pricing, compensation, organizational, and market changes.

Lead complex data analytics projects for private equity and corporate clients across the deal lifecycle. Translate data into actionable insights using visualization and modeling tools, improve data quality, build predictive models, collaborate with cross-functional teams, coach staff, interact with clients strategically, and validate outcomes to drive deal decisions and performance improvement.

Designs and maintains enterprise data architecture, pipelines, ETL/ELT workflows, and financial data integrations using Snowflake, AWS, dbt, Informatica, and relational databases. Ensures data quality, develops reporting and dashboards, supports financial planning and analysis, and delivers technology projects end to end. Partners with Finance, Accounting, FP&A, and technology teams, contributes to Agile planning, mentors junior staff, applies AI-assisted tools, and improves data processes and analytical capabilities.

Designs and implements scalable enterprise data platforms across cloud, on-premises, and hybrid environments. Builds ETL/ELT pipelines, optimizes SQL and Spark workloads, develops feature-engineered datasets and machine learning workflows, and applies data governance, quality, monitoring, and CI/CD practices. Provides production support, technical documentation, architecture guidance, code reviews, and mentorship to data engineering teams.

Leads enterprise data governance strategy, data quality standards, stewardship models, policies, metadata, lineage, classification, access controls, and lifecycle management. Partners with business and technical teams to resolve data quality issues, implement governance platforms, monitor KPIs, communicate risks, and maintain compliance with regulations such as HIPAA and GDPR.

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.

Leads large-scale data engineering initiatives, overseeing end-to-end delivery and mentoring junior engineers. Designs scalable, secure data architectures; automates data ingestion, transformation, and deployment; monitors pipelines; and resolves technical issues. The role requires advanced distributed data processing, data modeling, data warehousing, cloud platforms, analytics tools, CI/CD, DevOps, SQL, Python, and data pipeline technologies.

Lead the architecture, development, governance, and operation of scalable data platforms, pipelines, schemas, databases, and warehousing infrastructure. Guide data acquisition, transformation, cataloging, and integration across cloud and local environments while ensuring reliability, security, performance, and data quality. Collaborate with product and engineering leadership, recommend data solutions, establish technical standards, and mentor engineering teams.

Leads long-range workforce and resource planning for contact center operations. Owns demand forecasting, staffing, capacity, headcount, cross-skill, and scenario models across business lines and channels. Develops advanced predictive and prescriptive analytics, performance metrics, and decision-support tools using complex data sets. Advises executives on resource allocation, service levels, costs, and business performance while governing data quality and analytical processes. Leads capacity planning analysts and drives continuous improvement through automation, machine learning, and improved forecasting methodologies.

Analyze healthcare and utilization data to identify inefficiencies, support data-driven decisions, maintain analytical dashboards, develop insight-generating models and tools, and communicate findings to technical and non-technical stakeholders. The role also monitors improvement initiatives, supports strategic projects, and ensures compliance with applicable regulations.