Top Senior 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.

Develops and supports business intelligence applications, reports, data warehouse solutions, and SQL queries. Responsibilities include requirements analysis, coding, testing, performance tuning, data discovery, source-system connectivity, implementation planning, and technical documentation. The role serves as a BI subject matter expert, mentors team members, manages small projects, and collaborates with cross-functional technology and business teams.

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.

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.

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.

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.

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.

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.

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 architecture and delivery of enterprise data transformation on the Guidewire Data Platform. Drive design, ingestion/egress, migration performance, and AI-enabled tooling. Facilitate inception and design review sessions, mentor teams, coordinate with partners, and ensure successful data platform adoption and repeatable delivery practices while spending significant time on customer sites.

Act as a strategic partner to Revenue Operations by analyzing performance, building executive dashboards and reports, improving CRM data quality and governance, supporting forecasting and pipeline management, and designing scalable processes and automations to increase efficiency and revenue visibility.

Lead data product strategy and governance for customer-facing reporting within Managed Services. Own reporting product roadmap, data quality, standards, delivery platforms (Redwood Insights, BI, Snowflake, Excel), implementation readiness, and cross-functional alignment to scale trusted, automated customer analytics and reduce manual reporting.

The role involves architecting and designing BI solutions using QlikView, leading teams, optimizing data models, and providing technology advisory services.

Designs and develops analytic applications and reporting tools across BI platforms. Gathers requirements, codes complex systems, performs testing and defect fixes, mentors peers, manages small projects, integrates with IT teams, and provides training and BI subject-matter expertise.

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.

Leads business intelligence and analytics for strategic client programs, developing executive dashboards, scorecards, KPI reporting, and performance analyses. Analyzes operational, financial, transaction, compliance, and servicing data to identify trends and risks. Partners with cross-functional stakeholders, presents insights to executives and clients, supports forecasting and planning, establishes reporting governance and data quality standards, and improves reporting automation and self-service analytics.

Design and deliver enterprise Power BI dashboards, reports, and semantic models. Gather requirements, prototype, iterate with stakeholders, productionize solutions (testing, security, administration), mentor junior consultants, and align visualizations to business objectives and user needs.

Lead creation and scaling of a centralized Power BI function: define team structure, governance, semantic models, security, lifecycle management, and standards. Build certified datasets, implement complex row-level security, combine cross-division data responsibly, deliver high-quality reports, and partner with stakeholders to translate needs into governed data products and executive reporting.

Owns the company’s BI platform and data strategy across clinical, operations, finance, and HR functions. Responsibilities include setting the analytics product roadmap, governing data definitions and PHI, managing platform architecture, building dbt models and dashboards, delivering healthcare quality and value-based-care analytics, deploying conversational AI, coordinating vendors and multi-team programs, and developing an analytics team. The role requires hands-on ownership of clinical data, EHR integrations, semantic modeling, governance, and executive reporting.

Lead a BI engineering team, overseeing dashboards, data models, SQL/dbt transformations, ETL pipelines, Airflow DAGs, data warehouses, CI/CD, governance, and quality standards. Partner with stakeholders to define reporting requirements, conduct advanced analyses, manage Agile projects, and develop data strategy. Mentor team members and support production deployments. This fully remote role requires travel to Denver for five business days each quarter.