Top Analysis Reporting Jobs in Atlanta, GA

Lead the Decision Science function, designing ML models, overseeing experimentation frameworks, and ensuring model adoption across the company, driving operational and commercial improvements.

Lead customer-facing analytics to turn multi-source data into actionable insights that drive growth and retention. Embed analytics in sales cycles, build dashboards and playbooks, translate business questions into solutions, capture customer needs, deliver trainings and demos, combine internal and industry signals to craft market perspectives, and engage with strategic customers and industry forums.

Partner with Supply Chain functions to design and deliver digital process improvements and analytics solutions (dashboards, automation, low-code apps, ML/AI). Own end-to-end delivery from intake, backlog prioritization, and data prep to deployment, adoption, and value realization while driving change management and reusable team practices.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Lead catastrophe risk assessment and modeling, manipulate large exposure databases, run RMS/AIR models, perform geospatial analytics, analyze loss estimates, report results, mentor junior staff, and support enterprise exposure management and Nat Cat Center of Excellence.

Perform end-to-end analytical projects: source, clean, analyze, and synthesize data to answer commercial and operational questions. Communicate findings to investment teams and portfolio leadership, partner with data science and engineering, build reusable tools, and apply GenAI to accelerate workflows.

Analyze catastrophe risks (earthquakes, hurricanes, floods), build and maintain catastrophe risk models, use catastrophe modeling software, collaborate with underwriters and actuaries, monitor industry and regulatory trends, prepare reports for senior management, and participate in cross-functional teams to improve risk assessment and mitigation strategies.

Design, build, and maintain scalable ETL pipelines and data integration solutions using SQL Server, SSIS, and Azure Data Factory. Lead logical and physical data modeling, create data marts and operational stores, ensure data quality and governance, optimize ETL performance, and collaborate with stakeholders to translate business needs into enterprise data solutions.

Build and maintain embedded reporting, dashboards, and visualizations. Develop complex SQL scripts, views, and stored procedures. Perform SQL tuning, data profiling, and support analytic/reporting platform stability and performance. Extract and transform data to meet client needs and support core BI offerings and customer-specific analytics.

Lead master data governance for product/material domains across Agile PLM and SAP S/4HANA/SAP MDG. Define governance, document requirements and processes, support MDG design and integrations, drive data migration/cleansing, perform impact analysis, and champion data quality across supply chain, manufacturing, and IT stakeholders.