Top Analysis Reporting Jobs in Atlanta, GA

Supports quantitative consumer research from survey design and vendor coordination through data cleaning, analysis, and presentation of actionable insights. Partners with investment teams and portfolio business leaders on market, brand, competitive, and category research, including fast-turn diligence requests. Maintains research tools and datasets, works with syndicated data, and translates findings into clear business implications. The role is in-office and requires confidentiality when handling non-public deal information.

Lead technical strategy for commercial data governance, data risk management, and reliability of data-driven workloads. Provide architecture, design, development, and testing leadership while mentoring engineers and driving technical decisions. Partner with stakeholders to scale governance practices, improve delivery processes, and build trusted data solutions using cloud platforms, Spark, Python, SQL, and data-lakehouse architectures.

Develops and maintains validated datasets, dashboards, automated reports, analytical models, and business insights for freight-forwarding planning and operations. Extracts and reconciles SAP, Genisys, LOTS, financial, and operational data; analyzes KPIs, revenue, costs, margins, shipment activity, and data quality. Translates reporting requirements into repeatable processes, supports system enhancements and testing, documents data logic, and guides analyst-level resources.

Designs, develops, and optimizes high-availability relational databases supporting high-volume logistics services. Responsibilities include schema and database object architecture, SQL and T-SQL development, stored procedure implementation, performance tuning, scalability improvements, code reviews, prototyping, and end-to-end feature delivery. The role collaborates with engineering and infrastructure teams and may support database administration, cloud migrations, and modern data platforms.

Develop and optimize SQL queries and transformation logic for large healthcare datasets. Analyze, validate, reconcile, and monitor data quality during federal EHR modernization and migration initiatives. Create Power BI, Tableau, and Excel reports and dashboards, investigate discrepancies, document mappings and validation processes, and collaborate with developers, data engineers, QA teams, and federal stakeholders in an Agile environment.

Supports Sales Strategy & Analytics through data analysis, research, and business performance insights. Prepares findings, conclusions, and data-driven recommendations for management; contributes to functional projects and process improvements; communicates issues and roadblocks; and assists with special projects. The role requires strong analytical, communication, organizational, and problem-solving skills, with opportunities to work cross-functionally and present recommendations.

Leads implementation and support of regional education data systems, including setup, integrations, access management, troubleshooting, training, and vendor coordination. Ensures accurate data collection, quality controls, automated integrations, data security, and warehouse mapping across scholar, academic, HR, and assessment systems. Partners with school and regional teams to improve data use, accountability, and system effectiveness.

Leads the strategy, architecture, governance, reliability, and evolution of enterprise BI and analytics platforms. Oversees deployment, automation, security, monitoring, disaster recovery, integrations, licensing, vendor relationships, and cost optimization. Enables self-service analytics, leads incident response, and drives continuous improvement. Builds and mentors platform engineering teams, establishes operating models, and communicates platform strategy and performance to executives while partnering across technology, analytics, security, and business functions.

Coordinates workforce forecasting and analysis processes, developing 6–36-month demand and staffing forecasts. Builds predictive and scenario-based models, monitors accuracy, translates demand into workforce requirements, evaluates initiative ROI, and provides data-driven insights for staffing, budgeting, capacity planning, and strategic decisions. Presents forecasts and risks to leadership while ensuring data quality and alignment with operating plans.

Develops and leads value creation frameworks, ROI and financial benefit models, KPI scorecards, business cases, and governance for AI, personalization, and transformation initiatives. Partners with product owners and cross-functional stakeholders to translate business and technical needs into measurable revenue growth, cost savings, churn reduction, operational efficiency, and AI adoption outcomes. Presents findings to senior leadership and drives scalable AI use cases and process improvements.