Top Senior 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.

Serve as a client-facing BI consultant translating wholesale data into insights for National Commercial and Dealer accounts. Design analytical frameworks, build and maintain Snowflake/SQL queries and reporting, deliver executive presentations, collaborate with Data Science and Engineering, drive BI infrastructure improvements, manage complex projects, integrate AI-assisted processes, and mentor junior analysts.

Design, implement, and maintain BI solutions and analytics to deliver client insights. Use tools like Oracle BI, QlikView, and Spotfire, analyze complex data sets, build data pipelines, collaborate with stakeholders, manage teams, and uphold professional and technical standards to improve business performance.

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, 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.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

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.

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.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

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.

Develop, design, and maintain OBIEE reports, dashboards, and BI Publisher outputs. Build data models/universes against Oracle and SQL Server, write PL/SQL/SQL, ensure data accuracy, security, and performance, produce test cases and documentation, and support deployments and upgrades.

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.

Design, develop, and maintain data warehousing, ETL, and BI reporting solutions. Build reports and dashboards (Power BI, SSRS, Tableau), ensure data accuracy, gather stakeholder requirements, implement end-to-end BI solutions, and support finance and ERP-related analytics. Maintain cloud/on-prem ETL and Azure data warehouse pipelines.

Design, develop, and maintain Power BI reporting and dashboards for Infrastructure Services. Build scalable data models, deliver executive and operational KPIs, partner with stakeholders to define requirements, improve data quality and governance, automate reporting processes, and mentor other analysts. Support integration of data sources and present insights to leadership to drive operational decisions.

The Market & Business Intelligence Manager will lead analytics strategies, manage a team of business analysts, and provide insights to support firm strategy and decision-making.

Lead analytics, space management, and category management teams across multiple client accounts. Partner with senior leadership to manage client relationships, translate priorities into actionable team direction, deliver data-driven insights that drive measurable client value, optimize tools and processes, and identify growth opportunities.

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.

Senior BI consultant responsible for ETL development and optimization using Talend, designing dimensional data models and OLAP solutions, implementing ESB/web services, ensuring data quality and MDM, and supporting Hadoop or other open-source ETL tools as needed.

Lead BI partner for product teams to design and maintain scalable data pipelines, dbt transformations, data marts, and observability. Translate business needs into analytical frameworks, support A/B testing and ML feature engineering, collaborate on data governance, and champion CI/CD and best practices for analytics engineering.

Design and deliver executive-ready Power BI reports, dashboards and agentic experiences. Build semantic models and self-service analytics, apply DAX, Power Query and Fabric notebooks, perform data exploration with SQL/KQL, and drive AI-enabled automation. Collaborate with data engineering to influence ingestion and transformation, translate business strategy into data solutions, and ensure performance, reliability, and scalability of reporting assets.

Lead design and build of Microsoft Fabric data solutions and Power BI semantic models. Migrate Tableau reports to governed Power BI, develop Spark notebooks, implement medallion lakehouse patterns, optimize ETL/ELT and DAX, and support CI/CD and stakeholder validation.

Design, develop, and maintain Snowflake-backed semantic models and Power BI reports; build SQL queries, functions, and stored procedures; use AI-assisted tooling (Claude, MCP) to accelerate BI development; manage work in Azure DevOps, version control with GitHub; ensure QA, documentation, stakeholder communication, and mentor fellow developers.

Design, build, and enhance executive Power BI dashboards and scalable data models. Develop DAX, Power Query, optimized visuals, KPIs, templates, and governance while iterating with stakeholders to deliver role-based reporting and drill-through navigation.

Collect and analyze competitive intelligence and conduct due diligence and investigations on investment candidates and related entities. Design data collection methods, use research, network analysis and AI/automation tools to produce high-quality reports and actionable recommendations for senior stakeholders, and improve workflow productivity.