Top Senior Data & Analytics Jobs in Atlanta, GA

Leads teams delivering IT solutions and manages architecture, systems analysis, development, integration, deployment, maintenance, budgets, vendors, and technical support. Assesses business and client requirements, develops technology plans, ensures architectural compliance, resolves technical issues, coordinates software and hardware implementations, monitors performance, and manages training. Supervises staff, oversees hiring and performance management, negotiates contracts, and partners with business units on technology strategy and investments.

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.

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.

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 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.

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.

Analyze partner integration and operational data to identify trends, anomalies, bottlenecks, and root causes. Build data pipelines, models, dashboards, automation scripts, and operational tooling that improve efficiency, accuracy, monitoring, and scalability. Collaborate with engineering, product, and partner operations teams to translate operational challenges into technical solutions, reporting requirements, and process improvements.

Deliver analytics consulting projects involving process automation, data visualization, statistical analysis, and analytical tool development. Partner with stakeholders to identify business value, build minimum viable products and production applications, and train business users. Use tools such as Dataiku, Alteryx, Tableau, Power BI, Sigma, SQL, Python, cloud platforms, and modern databases while managing projects independently.

Develops AI, analytics, SQL, Python, and Tableau solutions for Internal Audit across risk assessment, planning, testing, reporting, and continuous monitoring. Builds data extraction and reconciliation workflows, audit dashboards, repeatable testing scripts, and AI-assisted tooling. Assesses data lineage, controls, and risks across business systems, supports GRC administration, identifies automation opportunities, and trains audit staff on analytics and AI-enabled workflows.

Own the end-to-end data architecture for multi-tenant enterprise SaaS and analytics products. Lead Azure SQL, Databricks, data lake, warehouse, BI, lifecycle management, ERP/SAP integration, observability, schema evolution, and data SLO initiatives. Manage DBA and database engineering standards, reliability, performance, HA/DR, and incident response while mentoring data engineers and partnering with product, projects, and BI teams.