Top Business Intelligence Jobs in Atlanta, GA

Own and optimize the enterprise workforce management platform, including forecasting, scheduling, staffing, intraday performance, shift and PTO bidding, and schedule adherence. Analyze workforce and operational data, identify root causes, create trend and productivity reports, model ROI, and recommend staffing improvements. Partner with analytics and operations leaders, mentor real-time analysts and schedulers, and drive efficiency across service and clinical operations.

Analyze complex datasets, develop data models, dashboards, and visualizations, and conduct predictive and statistical analysis for client decision-making. Collaborate with clients to deliver tailored analytics solutions, maintain data integrity, communicate insights through reports and presentations, and support data-driven operational strategies using SAS, Power BI, Tableau, and SQL tools.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Deliver reporting and visualization services within a Managed Services model, focusing on BI reporting initiatives across various corporate functions.

The role involves designing, developing, and deploying reporting and visualization services for various Business Intelligence initiatives in a Managed Services model.

Designs and maintains scalable data solutions on Palantir Foundry for FAA enterprise platforms. Responsibilities include modeling data with Palantir Ontology, developing data objects, actions, applications, workflows, pipelines, and AI integrations, while supporting governance, security, APIs, documentation, training, users, and stakeholders.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Serve as the primary technical escalation point for managed services data and analytics clients. Troubleshoot and enhance Power BI, Fabric, Azure, and other analytics environments; gather requirements; translate business needs into scalable solutions; support client onboarding; maintain documentation; mentor support staff; and partner with client success and consulting teams. The role also contributes to continuous improvement, training, knowledge sharing, and AI-enabled productivity initiatives.

The Data Architect will lead data architecture and management, focusing on ETL, EDI, and data warehousing solutions while managing team innovations and strategies.

Lead the global Master Data Management strategy across a complex manufacturing organization. Establish governance councils, data ownership models, standards, stewardship processes, quality controls, and enterprise master data frameworks. Govern product, material, customer, vendor, BOM, routing, and manufacturing data while integrating ERP, MES, PLM, CRM, and analytics platforms. Advise senior leadership, lead global transformation initiatives, develop data quality metrics, drive stakeholder adoption, and manage approximately 35% international and domestic travel.

Leads marketing metrics, insights, and reporting initiatives across business areas. Provides project and program analytics, PMO governance, data architecture input, campaign performance analysis, A/B testing, SEO/SEM and funnel analytics. Partners with marketing, IT, project teams, and business leaders to develop reporting methodologies, manage complex projects, optimize campaigns, and translate data into actionable recommendations.

Serve as product-owner/business analyst for actuarial data and tools within the Global Data Office. Translate actuarial requirements into data engineering specs, lead Agile ceremonies, manage product backlog and roadmaps, align stakeholders, and ensure data governance, lineage, testing, and quality for actuarial reporting, reserving, and pricing use cases.

Lead enterprise data governance, quality, MDM, cleansing, validation, reconciliation, and migration efforts to support ERP implementations and large transformation programs. Develop governance frameworks, coordinate data readiness and testing, produce executive reporting and presentations, manage project plans and governance artifacts, and drive stakeholder alignment and change management.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Lead enterprise data architecture across multiple SaaS products by unifying reporting platforms, data models, and analytics capabilities. Assess current systems, define target-state architecture, establish data governance and quality standards, separate analytical workloads from transactional systems, and develop phased migration roadmaps. Guide database, engineering, and BI teams on cloud platforms, integration, modeling, performance, security, and reliability. Enable trusted cross-product reporting, governed self-service analytics, and data foundations for AI and advanced analytics.

Serve as client-facing BI consultant for Manheim accounts: design analytical frameworks, build and maintain Snowflake/SQL queries and reports, deliver executive insights, manage complex projects, mentor junior analysts, and improve BI infrastructure and processes.

Manage and analyze enterprise data to deliver strategic reporting tools. Develop and deliver reporting and analytic solutions that leverage BI and data warehousing to drive insights and action for internal and external stakeholders. Support department efforts to extract value from data and ensure successful delivery of enterprise reporting projects.

Design, architect, and develop end-to-end ETL and data warehouse solutions using Ab Initio. Perform data modeling, profiling, and data quality rule implementation (ACE/BRE, Express>IT). Work with SQL/databases, source data from disparate systems, support deployment, and deliver BI projects in a global delivery and banking domain environment.

Lead end-to-end BI and data warehouse projects using Ab Initio: requirements analysis, design, data modeling, ETL development, SQL/database coding, deployment, code/design reviews, and work across global delivery teams.

Lead Ab Initio developer responsible for architecture, design, data modeling and end-to-end ETL implementation for data warehouse/BI projects. Implement data profiling and quality rules, source data from disparate systems, participate in SDLC, deployments, and global delivery collaboration.

Lead design and development of BI/data warehouse and ETL solutions using Ab Initio. Perform architecture and data-model reviews, implement end-to-end BI projects, manage SDLC and deployment activities, and collaborate with stakeholders in a global delivery and banking domain environment.

Lead end-to-end Ab Initio BI/ETL implementations: architecture, design, data modeling, development, data profiling and data quality (ACE/BRE/ExpressIt). Must know SQL/databases, sourcing from disparate systems, deployment methodologies, SDLC, and work in global delivery and banking domain.

Design, architect and develop end-to-end ETL and data warehouse solutions using Ab Initio. Perform data modeling, profiling, data quality rule implementation (ACE/BRE/Express>it), SQL development, deployment and design reviews for BI projects in a global delivery, banking environment.

Design, architect, and develop end-to-end ETL and data warehouse solutions using Ab Initio. Perform data modeling, data profiling, and data quality rule implementation (ACE/BRE/Express It), source data from disparate systems, and support deployment and SDLC activities. Work in global delivery, collaborate with stakeholders, and apply BI and banking-domain expertise.

Design and develop data warehouse and ETL solutions using Ab Initio. Lead architecture, data modeling, and design reviews; implement data profiling and data quality rules with ACE/BRE/Express It. Build BI and mart solutions, source disparate systems, use SQL/databases, and support deployments in a global delivery model within the banking domain.