Top Senior Analysis Reporting Jobs in Atlanta, GA

Lead complex analytics projects for commercial real estate: translate business needs into data solutions, perform advanced statistical modeling and scenario analysis, design launch and change-management plans, mentor junior analysts, and partner with technical teams to implement cloud-based analytics (Azure) and visualization 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 product analytics by building best-practice reports, dashboards, and A/B test analyses. Integrate internal and external data, apply advanced analytics, and deliver actionable insights to influence product strategy and operational efficiency across digital, connected fleet, pricing, and ridesharing products.

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.

Perform financial due diligence data analytics for middle-market M&A: obtain, validate, normalize, analyze transaction data (revenue, costs, inventory), produce dashboards and visualizations, identify trends/outliers, and communicate insights to deal teams and clients.

Design, build, and maintain the U.S. data platform and end-to-end integrations (customers, 3PLs, SAP/OMS/TMS/WMS/CRM). Implement data warehouse architecture, data models, governance, metadata, lineage, and quality monitoring to support BI, AI, self-service analytics, and reporting while aligning with global standards.

Design and maintain enterprise data architecture and pipelines to integrate legal and business systems. Define data strategy, governance, and analytics infrastructure. Support practice groups with legal technology, AI/ML integration, vendor assessments, documentation, training, and risk/compliance controls across marketing, finance, HR, and legal operations.

Serve as a bridge between business stakeholders and technical teams to define, design, validate, and deliver governed data products and AI-enabled data agents. Translate business needs into technical requirements, perform data exploration and validation with SQL/Python, build reports/dashboards (Power BI/Tableau), resolve data quality issues, document data lineage and mappings, and support data governance and testing across enterprise data platforms.

Design and build scalable, secure data architectures and high-volume pipelines to support fraud detection and risk management. Partner with data scientists to prepare training data and operationalize ML models. Ensure data quality, lineage, governance, and coordinate deployments using Azure, Databricks, Spark/PySpark, Python, Java, and NoSQL/RDBMS technologies.

Design and implement AWS cloud-native data architectures for Medicaid/Medicare domains, create canonical models and metadata strategy, produce conceptual/logical/physical data models, map data formats (X12, FHIR, JSON/XML), support data governance, and collaborate with architects, DBAs, and business owners to ensure interoperable, secure, and compliant data solutions.