Top Senior Analysis Reporting Jobs in Atlanta, GA

Lead systems analysis for business systems projects: define functional and technical requirements, design integration and monitoring strategies, create and run feature tests, coordinate with architecture and infrastructure, define development standards, and partner with stakeholders to identify system enhancements.

Lead finance data architecture, build the finance domain in the central data warehouse, own an in-house HTML dashboarding platform, design AI agents and retrieval architecture, deliver a forecasting/budgeting hub, manage and grow a cross-functional team, and partner with finance, data, and executives to produce trusted, self-service finance data products.

Lead Data Engineer designs and implements scalable data pipelines, ETL/ELT processes, and data warehouses. Coaches team members, investigates and resolves platform issues, and develops solutions using dbt and Snowflake. Collaborates with product managers and engineers to translate business requirements into robust, performant data integrations and ensures daily SLA compliance.

Design, build, and optimize scalable ELT/ETL pipelines, data models, and observability for analytics. Lead architecture, mentor engineers, collaborate with stakeholders, and enable AI-ready data products supporting reporting and BI.

The Senior Principal Scientist at Alcon leads the development of contact lens materials and processes, utilizing expertise in polymer chemistry and formulation experiments to innovate products that improve vision.

Lead data visualization and analytics efforts, partner with sales/marketing/product to build dashboards and presentation-ready visualizations using Spotfire and other BI tools; define ETL methodologies with SQL, R, Hive, Impala, and Python; lead small teams and establish standards for data access, integration, and analytics on cloud platforms.

The Data Engineer role involves developing and maintaining data pipelines for forecasting in commercial real estate, ensuring data integrity and supporting analytics teams.

Manage, maintain, and secure SQL Server databases; design and implement end-to-end data solutions on Azure (ADF, Databricks, Synapse, Azure SQL); perform performance tuning; support data warehousing, reporting, and collaborative software release activities.

Lead delivery of large-scale data projects (pipelines, warehouses, lakes, analytics). Guide data modeling, ETL/ELT, and cloud data architectures. Coordinate onshore/offshore teams, manage stakeholders, enforce data governance, quality, and security, and track delivery metrics and risks to ensure projects meet scope, schedule, and budget.

Design, implement, and optimize scalable graph database solutions. Create graph data models, optimize queries and indexing for large datasets, integrate graph DBs with enterprise systems and ETL pipelines, recommend technologies, ensure security and availability, and collaborate with engineering and business teams on graph use cases.