Top Business Intelligence Jobs in Atlanta, GA

Designs, builds, and maintains enterprise data structures, pipelines, storage systems, frameworks, and microservices. Develops scalable solutions using big data technologies, prepares data assets for analytics and business use cases, and ensures data quality, integrity, security, and regulatory compliance. Partners with data scientists, modelers, technology teams, business stakeholders, and executives to translate needs into data solutions and support strategic decision-making.

Analyzes dealer, broker, marketplace, sales, inspection, and conversion data for Remote Dealer Services and Trade Desk teams. Builds recurring and self-service Tableau reports and dashboards, validates metrics, investigates data discrepancies, supports data pipelines and queries, and provides insights, forecasts, and recommendations. Partners with stakeholders to define reporting requirements, maintain data governance, and communicate performance trends and business intelligence findings.

Lead and scale Runpod’s analytics and business intelligence function, managing analysts and BI practitioners while setting the analytics roadmap. Own core company metrics, consumption and marketplace analytics, self-service reporting, experimentation practices, and executive and board-level insights. Partner with Product, Finance, Engineering, Security, Supply, and Go-to-Market leaders to improve data quality, modeling, decision-making, and strategic outcomes.

Leads the Sales Analytics and Reporting function and manages Sales Analysts. Oversees dashboards, scorecards, KPI tracking, profitability analysis, business insights, executive reporting, and sales technology platforms. Partners with Sales, Finance, Product, Technology, and other stakeholders to improve performance, profitability, planning, and decision-making. Develops team capability, reporting processes, platform adoption, and analytical effectiveness while translating complex data into actionable recommendations.

Develop and deploy business intelligence applications for a U.S. Air Force financial platform across development, testing, integration, and production environments. Design and optimize Informatica ETL pipelines, Oracle databases, SQL and PL/SQL processes, data warehouses, BI semantic layers, and SAP integrations. Support Agile delivery, budgeting integrations, monitoring, interface changes, and security hardening. The role also requires Oracle APEX, WebLogic, HTTP Server, performance tuning, and collaboration on data-related issues.

Lead CX data intelligence initiatives using SQL, dashboards, analytical models, and AI/LLM techniques. Analyze customer journeys, operational metrics, churn risks, and retention indicators; develop insight agents and self-service reporting; define CX health metrics; and translate findings into strategic recommendations, process improvements, and experiments. Partner with operations, support, product, data, and engineering teams while maintaining data quality, governance, and documentation.

Designs, builds, and maintains scalable data pipelines, workflows, analytics solutions, and AI/ML capabilities within Palantir Foundry. Models enterprise data using Foundry Ontology, manages data assets and governance, integrates analytics tools, troubleshoots platform issues, and translates stakeholder requirements into maintainable solutions. The role also supports FAA users through documentation, training, collaboration, and ongoing platform enhancement.

Leads the vision, architecture, strategy, and execution of enterprise data platforms supporting scalable analytics and AI initiatives. Oversees modern data technologies, production reliability, FinOps, governance, architecture standards, and cross-functional delivery. Builds and mentors engineering teams, communicates with executives, evaluates third-party technologies, resolves critical production issues, and drives continuous improvement. The role is remote with occasional planned travel to the Southfield, Michigan office.

Leads the Claims insights and analytics function, partnering with senior Claims, Reserving, Actuarial, Finance, and Underwriting stakeholders. Translates business priorities into reporting, dashboards, data products, predictive analytics, AI, and automation initiatives. Oversees delivery, measurable business value, governance, stakeholder adoption, and team development while improving claims outcomes, operational efficiency, leakage management, reserving effectiveness, and decision-making.

Owns and leads commercial master data management across HCP, HCO, payer, patient, product, and organizational domains. Establishes governance frameworks, stewardship programs, data quality standards, matching and survivorship rules, and trusted golden records. Manages commercial data platforms, integrations, analytics datasets, releases, vendors, and offshore teams. Writes SQL, builds validations and data pipelines, troubleshoots integrations, supports commercial launches, and drives operational improvements across pharmaceutical commercial systems.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

Analyze insurance product and portfolio performance, build dashboards and reporting tools, validate data, and translate complex insurance questions into actionable recommendations. The role supports rate revisions, state expansion, product development, and profitable growth while partnering with Product, Engineering, Data, Underwriting, Compliance, and other teams. It also uses SQL, business intelligence platforms, and AI tools such as Claude to improve workflows and decision-making.

Develops and optimizes BI dashboards, reports, data models, and analytical solutions using standardization and automation. Translates stakeholder requirements into scalable reporting solutions, ensures data quality and governance, supports testing and incident resolution, and leads complex BI projects. Collaborates across analytics, data services, IT, and business teams while providing training, mentorship, documentation, and project status reporting.

Leads GreenSky’s enterprise business intelligence and data engineering strategy, including data modernization, cloud platforms, analytics, governance, reporting, and AI/ML enablement. Builds and scales enterprise data organizations, establishes KPI frameworks and executive reporting, ensures regulatory compliance and data quality, and applies advanced analytics to lending, credit risk, fraud prevention, servicing, customer acquisition, and portfolio performance.

Develops complex data-mining analyses, extracts data, and creates reports using data warehouse information. Designs queries, database tables, and data warehouse applications; maintains knowledge of database structures, data definitions, programming languages, and data integrity. Supports business reporting applications, writes standard and custom reports, and trains users on developed applications.

Leads Cisco’s Americas Business Intelligence and Analytics organization supporting Sales Strategy, Planning, and Operations. Sets vision and roadmaps, manages analysts, AI engineers, and data scientists, modernizes analytics, drives automation, develops enterprise dashboards and data models, and advises executive leadership. Partners cross-functionally to translate business needs into actionable insights while leveraging AI, visualization, and sales systems to improve field performance.

Build business intelligence solutions, dashboards, data models, market-sizing forecasts, and executive reporting for Cisco’s Market Insights team. Analyze large internal and external datasets to identify trends, opportunities, and risks. Apply LLMs and agentic workflows to synthesize unstructured information and automate reporting. Partner with Sales, Product Management, and Strategy to translate business questions into actionable insights and recommendations.

Designs, develops, and supports enterprise business intelligence solutions using Power BI and Qlik. Creates scalable dashboards, reports, and analytics to support business decisions; gathers stakeholder requirements; translates business needs into technical solutions; and maintains BI environments for performance, reliability, and data quality. The role may also apply AI-enabled analytics such as natural-language querying, anomaly detection, and automated reporting.

Develops and maintains business intelligence applications, reports, and SQL-based data solutions. Analyzes requirements, builds and tests complex system components, connects operational data sources, tunes queries, and supports data warehouse integrity. Collaborates with technical and business teams, manages small projects, mentors colleagues, provides training, and serves as a subject matter expert for BI applications.

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.

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.

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

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.