Top Analysis Reporting Jobs in Atlanta, GA

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.

One-year fellowship supporting integrated performance science across U.S. Soccer programs. Duties include athlete profiling, testing, monitoring, data management, dashboarding, translating research into practice, assisting education initiatives, and using VALD and athlete management technologies to generate actionable insights for coaches and multidisciplinary staff.

Lead client-facing BI for Manheim accounts: translate wholesale data into actionable insights, build and maintain Snowflake SQL queries and reporting pipelines, develop analytical frameworks and dashboards, present to executives, collaborate with Data Science and Engineering, drive BI infrastructure improvements, manage projects, and mentor junior analysts.

Under supervision, assist in designing, testing, and updating algorithms. Apply and document solution approaches, coordinate with Senior Analysts, and test analytical solutions to meet product or customer requirements.

Design, develop, and maintain scalable data pipelines, warehouses, and stores. Build ETL/ELT workflows, process structured and unstructured data with SQL and Python, validate databases, and support data platform scaling, monitoring, and operations for mission-driven clients.

Design, optimize, and maintain conceptual and logical database models. Migrate legacy data, develop secure database solutions, perform SQL development and administration, troubleshoot and improve performance, define backup and security procedures, and train internal partners while supporting client service duties.

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.