Top Analysis Reporting Jobs in Atlanta, GA

Leads long-range workforce and resource planning for contact center operations. Owns demand forecasting, staffing, capacity, headcount, cross-skill, and scenario models across business lines and channels. Develops advanced predictive and prescriptive analytics, performance metrics, and decision-support tools using complex data sets. Advises executives on resource allocation, service levels, costs, and business performance while governing data quality and analytical processes. Leads capacity planning analysts and drives continuous improvement through automation, machine learning, and improved forecasting methodologies.

Analyzes business and customer requirements to define metrics, measurement frameworks, and scalable Tableau dashboards. Partners with stakeholders across life sciences, healthcare, and sales organizations to deliver consistent, data-driven insights. Documents BI standards, ensures metric accuracy and security compliance, demonstrates expertise in relevant data sources, and manages dashboard requests through a Jira backlog while meeting delivery timelines.

Lead the design and delivery of scalable batch and real-time data pipelines across AWS, Snowflake, PostgreSQL, MongoDB, dbt, and Kafka. Establish standards for data modeling, governance, security, testing, observability, and reliability. Build trusted datasets and semantic layers for BI, analytics, AI/ML, RAG, and LLM applications. Drive platform optimization, data integration, MDM, technical strategy, mentoring, and cross-functional collaboration.

Analyze complex datasets, build Power BI dashboards and reports, write SQL, and use Python with Pandas and NumPy for data manipulation and automation. Work extensively with Snowflake, validate and reconcile data, define KPIs, support forecasting and AI-driven analytics, and translate stakeholder requirements into analytical solutions. Present insights and recommendations while collaborating with business, data engineering, and data science teams to improve reporting, data quality, governance, and self-service BI.

Leads reporting, analytics, and data infrastructure activities supporting U.S. business units. Supervises analysts, standardizes KPIs and reporting, ensures data quality, coordinates data engineering and governance with IT, supports M&A integrations, and oversees dashboards, financial reporting, dataflows, and analytics resources. Requires strong Power BI, Excel, SQL or R, automation, BI operations, and stakeholder-management skills.

Designs trusted Snowflake data products and enterprise semantic models that standardize business concepts, metrics, relationships, and rules. Builds Cortex semantic views and agents, validates AI-generated results, develops regression tests, and maintains metadata, lineage, and documentation. Leads modeling initiatives from discovery through production while partnering with business and technical stakeholders to improve analytics, automation, and AI consistency.

Designs and leads enterprise database architectures, data models, integrations, governance, and performance initiatives. The role supports scalable and secure SQL Server environments, cloud platforms, data warehouses, ETL processes, reporting, analytics, and transportation safety data systems. Responsibilities include optimization, security, backup and recovery, documentation, technical standards, and collaboration with software engineering and business teams. The position requires strong relational database, SQL development, administration, and enterprise data modeling expertise.

Onboard and maintain global hospitality data for Business Intelligence solutions. Coordinate integrations with hotel technology providers, validate reservation and occupancy data, manage mappings and historical loads, troubleshoot discrepancies using SQL and Unix/Linux tools, and improve data governance and quality controls. The role serves as a liaison among customers, partners, and internal teams while driving onboarding projects through validation, approval, and production activation.

Leads organization-wide measurement, evaluation, and applied research initiatives. Designs research plans, evaluation strategies, data collection systems, indicators, and reporting approaches; analyzes quantitative and qualitative data; and translates findings into actionable insights. Oversees consultants, academic partners, vendors, and small teams while ensuring methodological rigor, ethical data practices, privacy, and quality assurance. Builds measurement capacity among staff and community partners, centers resident voice, and communicates impact through reports, dashboards, presentations, learning sessions, and stakeholder engagement.

Maintains and governs SAP enterprise master data, including material masters, BOMs, routings, production versions, PIRs, source lists, and variant configurations. Manages SAP MDG workflows, validations, approvals, and data-quality rules. Conducts audits, resolves root causes, tracks governance KPIs, supports product launches, improves processes, and trains cross-functional teams on master-data standards and procedures.