Top Analysis Reporting Jobs in Atlanta, GA

Design, build, and maintain KPIs, dashboards, automated reports, and BI solutions to improve project controls visibility. Analyze large datasets, ensure data quality and governance, support Cost/Schedule/Risk/Change functions, provide forecasting and ad hoc analysis, and collaborate across teams to drive adoption and process improvements.

The Data Quality Analyst audits and standardizes data from various internal sources to ensure accuracy. Responsibilities include developing reports, building data pipelines, and collaborating with teams to manage data integrity.

Lead the creation and scaling of a centralized Power BI function across multiple divisions. Establish governance, semantic models, security, release management, and standards. Build and lead a BI team, design complex row-level security, combine cross-division datasets, and deliver certified, performant Power BI reports and data products while partnering with stakeholders and maintaining hands-on architecture and development.

Lead Sales & Marketing analytics strategy and team to deliver reporting, BI, forecasting, and decision science. Partner with commercial leaders to drive revenue growth, sales productivity, marketing effectiveness, and data governance across Salesforce, Marketo, Power BI, and Snowflake.

Lead client engagements to define objectives and deliver end-to-end decision science solutions using optimization, simulation, ML, and statistical modeling. Provide technical leadership, execute project plans, develop models, deploy solutions, and upskill clients and teammates.

The Senior Analyst supports the multifamily investment sales team through financial analysis, market research, and the creation of marketing materials while maintaining organized management of transactions and deadlines.

Lead SQL developer/DBA responsible for SQL programming and SQL Server administration. Perform advanced SQL, XML handling, data modeling, replication, and data propagation. Support PL/SQL integration and basic Java/J2EE tasks as needed to deliver database solutions.

Design, validate, and deploy advanced quantitative models and predictive analytics to improve efficiency, reduce costs, and increase revenue. Collaborate with business partners to gather requirements, perform big data analysis, run simulations, and produce reports. Support model verification/validation and deployment.

Support product and operational decisions by building staff-facing dashboards, monitoring KPIs, conducting deep-dive analyses and experiments, ensuring data governance, and delivering actionable insights across Product, Lending, Operations, Marketing, and Finance.

Lead analytics for clinical decision support adoption and engagement: define metrics, query event-level usage, build dashboards, analyze funnels and cohorts, partner with product and cross-functional teams, and translate findings into actionable product recommendations to improve adoption and outcomes.