Top Business Intelligence Jobs in Atlanta, GA

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

The Business Intelligence Sr Analyst executes data-driven analysis and builds AI-powered workflows to provide insights to Cox Automotive's leadership and clients, leveraging advanced data analytics and statistical methods.

Analyze sales and operational data to generate reports, dashboards, and insight narratives that inform sales, marketing, product, and operations. Validate data quality, support ad-hoc analyses, document reporting logic, and recommend improvements to reporting and processes. Collaborate cross-functionally to translate complex datasets into clear, actionable recommendations.

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

The Business Strategist will align client strategies with data analysis solutions, managing projects and analytics to provide insights and recommendations for business growth.

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.

Build and maintain customer-facing dashboards and reports, translate dealer requirements into actionable insights, interrogate underlying data models and pipelines, use AI to prototype analytics, and collaborate with engineering and product teams on data/platform migrations.

Lead analytics for advertising and consumer insights, developing SQL-based analyses in Snowflake and other warehouses. Deliver executive-ready reports and QBRs, advise sales and campaign teams, integrate new data sources, collaborate with Data Science/Engineering to define analytics requirements, and rapidly respond to ad-hoc client questions to drive campaign optimization and revenue.

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 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.

Lead and expand the enterprise reporting and BI platform: gather requirements, develop reports and visualizations, write complex T-SQL/stored procedures, ensure SDLC practices, mentor junior developers, and partner with stakeholders to deliver accurate, timely business insights.

Design, architect and develop end-to-end BI, DW and ETL solutions using Ab Initio. Perform data modeling, data profiling, data quality rule implementation (ACE/BRE, Express>it), source data integration from disparate systems, deployment activities, and participate in design and architecture reviews for large complex implementations.

Design, develop, and maintain SSIS-based ETL/ELT solutions for data warehouses and reporting. Create SSIS packages (CDC, snapshots), optimize performance, perform data modeling and architecture reviews, and work with Unix/Linux scripting in a global financial domain environment.

Design, develop and maintain SSIS ETL packages for DW/BI/reporting projects. Perform data integration (CDC, snapshots), data modeling, performance tuning, scheduling/job monitoring, and collaborate with stakeholders in financial domain to troubleshoot and implement ETL/ELT frameworks.

Implement end-to-end Ab Initio BI and ETL solutions, perform architecture and design reviews, develop data models, enforce data profiling and quality rules using ACE/BRE and Express>it, write SQL, and collaborate in global delivery, primarily for banking domain projects.

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.

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, architect and develop end-to-end data warehouse and ETL solutions using Ab Initio. Perform data modeling, profiling, data quality rule implementation (ACE/BRE/ExpressIt), SQL/database development, deployment, and support BI projects in a global delivery environment, primarily in banking.

Design, architect and implement end-to-end BI solutions, data warehouses and ETL using Ab Initio (and Collibra). Perform data modeling, development, design and architecture reviews, SQL/database work, deployments, and support BI projects in a banking/global delivery 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.

Lead end-to-end Ab Initio BI and ETL implementations with ACE/BRE specialization. Design architecture, data models, and DW/mart solutions; implement data profiling and data quality rules; write SQL and integrate disparate data sources. Support deployment, review large-scale designs, work in global delivery, and apply banking domain knowledge.

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 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 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.