Top Data & Analytics Jobs in Atlanta, GA

Lead Workday reporting and analytics for HR: design, build, and maintain advanced Workday reports and integration data sources; manage reporting projects end-to-end; partner with HR COEs and HR Technology; mentor report writers; ensure data quality, governance, and audit readiness; and help extend analytics via Prism or Power BI and adopt AI-assisted capabilities.

Design and govern the future-state enterprise data platform for the Medical Stop Loss business using Microsoft Fabric and Azure. Responsibilities include data architecture, dimensional and physical modeling, ingestion and integration patterns, data governance, quality, security, lineage, semantic models, and analytics enablement. The role guides data engineering and BI teams, modernizes legacy platforms, supports cloud migrations, and collaborates with business and technology stakeholders across regulated insurance operations.

Designs and maintains scalable, low-latency data pipelines for real-time and batch market data. Builds ETL/ELT processes, optimizes storage and streaming systems, supports productionizing AI and machine-learning models, and improves data quality, observability, reliability, and cost efficiency. Collaborates with data scientists, ML engineers, and product teams to evolve Fetcherr’s data platform.

Lead a 40-person data engineering organization at Slack, transforming its data platform for AI agents, real-time analytics, semantic data access, and data products. Own the engineering roadmap across infrastructure, ingestion, governance, tooling, and metrics layers. Establish reliability, freshness, and cost standards; partner with Data Science, Product, Infrastructure, and DevXP leaders; and hire and develop engineering managers and senior engineers. Drive MCP-based data access, AI-native observability, streaming infrastructure, and agentic analytics capabilities.

Manage a team of 2–3 analysts while remaining hands-on with SQL, dbt models, dashboards, and complex operational analyses. Lead ambiguous, cross-functional initiatives, deliver recommendations to senior stakeholders, ensure data quality, and improve reporting automation. Partner on AI analytics strategy, data readiness, agent evaluation, and human-in-the-loop governance. Responsibilities include coaching, prioritization, performance management, technical review, KPI development, and operational insights across customer experience, fraud, payments, workforce management, and VIP functions.

Leads the design, implementation, and operation of scalable production data pipelines and architectures across cloud platforms. Defines technical approaches and success metrics with stakeholders, monitors reliability, mentors junior engineers, collaborates with data scientists and analysts, and develops reusable data engineering practices. The role requires production pipeline experience across multiple cloud providers, comfort in startup environments, and knowledge of regulated-industry compliance, security, and governance requirements.

Participate in a 24-month Business Intelligence rotation program across three eight-month assignments. Develop dashboards, reports, visualizations, data models, semantic layers, analytics solutions, and self-service reporting capabilities. Analyze enterprise data, translate findings into recommendations, collaborate with business stakeholders and technical teams, gather requirements, and explore AI-driven analytics. The role includes structured learning, mentoring, networking, and progression into a full-time Data Office position.

Leads cross-platform data instrumentation and growth measurement across web and mobile products. Establishes event taxonomies, governs schemas, remediates Amplitude, architects GA4 and server-side tagging, configures advertising platform conversion signals, and leads incrementality testing. Partners with product, engineering, marketing, and agencies to improve attribution and optimize media spend. Builds auditing, observability, CI/CD linting, and SQL-based validation across BigQuery and Redshift.

Manages information governance, risk, and compliance initiatives focused on attorney and client onboarding, offboarding, client transfers, legal holds, and electronically stored information. Coordinates data identification, collection, classification, transfer, metadata accuracy, repository tracking, security controls, and workspace access. Supports attorneys and business teams, resolves policy inquiries, develops compliance procedures and educational materials, and contributes to technology workflows, integrations, analytics, and internal controls.

Coordinates research and evaluation data collection, quality assurance, database maintenance, follow-up assessments, and reporting. Supports needs and capacity assessments, HMIS enhancements, evaluation strategies, stakeholder reporting, and data participation among service providers. The role requires collaboration with research, quality assurance, and program teams, community outreach, regular travel, and interaction with veterans and individuals experiencing behavioral health challenges.