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.

Use SQL and Databricks to extract, clean, and analyze data; build statistical and machine learning models; create Power BI dashboards and forecasts; run A/B tests; present insights and collaborate with cross-functional teams to drive data-driven decisions.

Perform moderate data management and analysis within a defined data domain: run and modify queries, produce statistics and coverage metrics, profile and validate data, investigate and report data issues, support onboarding and production data tasks, and provide technical problem-solving and ad-hoc data counts for stakeholders.

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.

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.

The Data Quality Analyst will validate data accuracy, develop automated testing frameworks, analyze discrepancies, and collaborate on data governance with stakeholders.

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 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.