Top Business Intelligence Jobs in Atlanta, GA

Designs, builds, and supports secure enterprise data architecture, applications, pipelines, integrations, warehouses, and financial data models. The role enables consolidation, planning, forecasting, reporting, and self-service analytics while ensuring data quality, governance, compliance, observability, and performance. Responsibilities include troubleshooting production issues, optimizing infrastructure costs and workloads, implementing emerging technologies and AI-assisted tools, developing BI metrics, and mentoring teams. The engineer collaborates with Finance, Architecture, Engineering, Operations, and Quality teams on complex implementations.

Designs and develops scalable cloud-based data platforms and architectures for consulting clients. Translates business objectives into technical solutions, supports data warehousing, business intelligence, master and reference data management, and develops Big Data platforms using Azure or AWS. Leads client initiatives, establishes architectural governance, creates system diagrams, collaborates with stakeholders and vendors, and mentors data architects and engineers.

Develops business intelligence and analytics solutions, including reports, dashboards, data marts, metadata layers, and decision-support applications. Analyzes requirements, designs data models, evaluates technologies, creates architecture documentation, and supports production troubleshooting. Partners with business, architecture, and IT teams while mentoring junior staff, establishing development standards, and managing small to midsize projects through completion.

Defines business intelligence and analytics requirements, including report, dashboard, data resource, and data model specifications. Conducts stakeholder interviews, documents business and data needs, supports data management and project coordination, and trains users on BI tools. Collaborates with IT teams on architecture, estimates, planning, and non-functional requirements while assisting with small to midsize projects through completion.

Lead the design, development, integration, optimization, and operational oversight of MicroStrategy analytics solutions supporting healthcare eligibility, claims, provider, member services, reporting, and financial workflows. Collaborate across technical and operational teams, drive modernization, resolve complex issues, coordinate data interoperability, manage vendors, and ensure secure, compliant, high-performing systems.

Participate in a 24-month Business Intelligence rotation program across three eight-month assignments. Develop dashboards, reports, visualizations, data models, semantic layers, analytics solutions, and self-service reporting capabilities. Analyze enterprise data, translate findings into recommendations, collaborate with business stakeholders and technical teams, gather requirements, and explore AI-driven analytics. The role includes structured learning, mentoring, networking, and progression into a full-time Data Office position.

Build and maintain branch network performance reporting, dashboards, semantic models, and analytical datasets using SQL and Alteryx. Translate banker, branch, market, and enterprise data into actionable insights for senior leaders. Lead analytical projects, manage timelines, communicate executive-ready findings, improve reporting processes, and mentor junior analysts. Partner with Distribution and Consumer Bank leadership in a hybrid, primarily onsite environment.

Build and maintain production-grade data models while migrating workflows from Alteryx to dbt. Manage Redshift pipelines through Dagster or Airflow, create Tableau dashboards, and translate technical data into business insights for Revenue Operations. Explore AI, LLM, predictive analytics, and machine learning applications such as churn prediction and lead scoring using Amazon SageMaker. Collaborate with Sales, Marketing, Customer Experience, Product, and Engineering stakeholders on KPIs, account-based marketing, and customer health scoring.

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.

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.

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.

Design and build PerfectServe’s unified cloud data platform, including ingestion pipelines, integrations, data models, metrics, and consumer-facing data layers. Establish architecture, engineering, quality, and testing standards; enable safe extraction from production systems; partner with data users; and mentor data engineers. The role requires substantial cloud data platform experience, deep SQL, warehouse expertise, ELT, change-data-capture, AWS, modeling, orchestration, and data quality skills.

Collects, standardizes, and analyzes business intelligence to support marketing, business development, client relationships, and strategic planning. Maintains experience, relationship, rankings, credential, and industry data; conducts competitive and market research; creates dashboards and reports; manages alerts; and partners with stakeholders to make insights actionable for firmwide initiatives.

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.

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.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Develop and support enterprise BI solutions, including dashboards, reports, governed datasets, data marts, and ETL/ELT processes. Translate business requirements into technical designs, perform data analysis and validation, troubleshoot production issues, and maintain documentation, governance, security, and data-quality standards. Lead-level candidates will guide technical decisions, mentor team members, and coordinate complex initiatives and incidents.

Develop and maintain Power BI reports, dashboards, apps, and reusable semantic models using SQL, DAX, and Power Query. Own day-to-day Power BI platform operations, including workspaces, publishing, licensing, refreshes, gateways, permissions, and content lifecycle. Translate stakeholder requirements into decision-ready reporting experiences, validate data and calculations, support testing and releases, troubleshoot issues, and coordinate with engineering and security teams. Coach report authors and promote governed, reliable self-service analytics.

Leads business intelligence strategy, dashboard development, data analysis, automation, and a small BI analyst team. Builds Power BI solutions using data from financial, sales, customer success, CRM, and operational systems. Partners with data engineering and business leaders to ensure data quality, deliver actionable insights, support customer retention and expansion, and present recommendations to executives. Provides technical direction, mentorship, prioritization, documentation, and end-user training.

Leads provider data business intelligence, automation, governance, stewardship, quality controls, complex analytics, dashboards, reporting, and executive insights. Partners with technology, operations, compliance, and business stakeholders to improve data transparency, reduce manual work, measure performance, and enable strategic decision-making. The role requires advanced healthcare data expertise, predictive analytics, SQL and SAS proficiency, BI visualization skills, and the ability to support government-related clearance requirements.

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.

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.

Manages client, compliance, and performance reporting across healthcare programs using eligibility and claims data. Leads reporting analysts while remaining hands-on with advanced SQL, dashboards, data crosswalks, validation, reconciliation, root-cause analysis, and data-quality monitoring. Partners with data engineering and clients to resolve upstream issues, establish reporting standards, and guide the analytics roadmap.

Leads business intelligence, reporting, analytics, and project delivery initiatives. Partners with stakeholders and technical teams to gather requirements, define reporting solutions, manage timelines and risks, validate data and outputs, maintain dashboards, support testing and implementation, and identify process improvements. Uses complex data analysis, business process evaluation, and reporting expertise to improve operational performance, leadership decision-making, governance, automation, and consumer experiences.

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.