Top Senior Analysis Reporting Jobs in Atlanta, GA

The Senior Data Engineer at BeyondTrust designs and manages data infrastructure, creates ETL pipelines, and optimizes database performance while ensuring data governance.

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

Design, build, and maintain scalable ETL/ELT, batch and streaming data pipelines and platforms. Create reusable data models (dbt/Spark), ensure data quality and observability, collaborate with data scientists, analysts, and product teams, and mentor junior engineers while advancing data platform architecture and tooling.

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.

Provide advanced analytics, reporting, and predictive modeling to identify, monitor, and mitigate risks across portfolios. Build, validate, and present analysis and models, troubleshoot data issues, collaborate with IT and business lines, and deliver actionable insights to management.

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.