Top Business Intelligence Jobs in Atlanta, GA

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

Develops and maintains Power BI dashboards and data models, defines KPIs with stakeholders, validates data accuracy, and collaborates with Data Engineering on optimized analytical models. The role documents data lineage and reporting assumptions, supports self-service BI through communications and training, and automates manual reporting processes. It requires SQL, Power BI, DAX, Power Query, data modeling, and data warehouse knowledge, plus strong communication and cross-functional collaboration skills.

Leads enterprise business intelligence and analytics across multiple divisions and locations. Establishes governed KPI definitions, reporting architecture, financial and operational analytics, semantic models, data-quality practices, and self-service reporting. Partners with FP&A, IT, Finance, and Operations to align analytics with financial results, guide technical delivery, evaluate BI platforms, and support forecasting and performance improvement. Directs internal or external development teams and communicates actionable insights to executives and operating leaders.

Lead the global Master Data Management strategy across a complex manufacturing organization. Establish governance councils, data ownership models, standards, stewardship processes, quality controls, and enterprise master data frameworks. Govern product, material, customer, vendor, BOM, routing, and manufacturing data while integrating ERP, MES, PLM, CRM, and analytics platforms. Advise senior leadership, lead global transformation initiatives, develop data quality metrics, drive stakeholder adoption, and manage approximately 35% international and domestic travel.

Lead BI reporting and advanced analytics to optimize marketing campaigns and ROI. Build dashboards, manage multi-source data, ensure data governance, provide actionable insights, mentor juniors, and partner with cross-functional teams to guide strategy.

Analyze performance marketing and subscription-funnel data, including acquisition efficiency, conversion, retention, churn, and customer lifetime value. Build automated Domo dashboards and governed reporting pipelines from multiple data sources. Investigate data anomalies, analyze A/B tests, define KPIs, and communicate insights to executives. Partner with marketing, product, engineering, finance, agencies, and BI contractors while independently executing analytics projects and improving reporting workflows.

Develop enterprise business intelligence solutions by integrating multiple data sources, building data models, writing SQL queries, creating dashboards and reports, testing hypotheses, forecasting performance, and delivering actionable insights. The role involves requirements gathering, data governance, stakeholder engagement, executive presentations, cross-functional project leadership, and improving business processes, revenue generation, risk management, and customer experience.

Leads the modernization of GreenSky’s Snowflake enterprise data platform, including data warehouse optimization, ETL/ELT modernization, governance, quality, observability, and self-service analytics. Defines multi-year data strategy and roadmaps, establishes engineering and deployment standards, enables AI/ML capabilities, and develops a team of data and test engineers while aligning platform investments with business outcomes.

Develops and maintains dashboards, reports, data tools, and data infrastructure for Consulting. Analyzes client, project, portfolio, capacity, compliance, and outcomes data to identify trends and support decisions. Maintains data integrity across Salesforce, Resource Hero, Power BI, and related systems; establishes governance standards; trains staff; and manages consulting projects, workflows, budgets, timelines, and deliverables.

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.

Senior Business Intelligence Analyst who develops and governs Power BI dashboards, analyzes clinic performance metrics, ensures reporting accuracy, and translates operational needs into technical requirements. The role manages BI projects end to end, prioritizes analytics tickets, presents insights to executive stakeholders, establishes reporting standards, contributes to data-model requirements, and mentors junior analysts across clinical and corporate operations.

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.

Develops and manages enterprise business intelligence products, including semantic models, governed definitions, metadata, dashboards, and AI-assisted analytics capabilities. Translates complex business needs into measurable analytic solutions, advises stakeholders, supports adoption and training, and manages product lifecycle, quality, performance, and business impact. Partners with product managers and business leaders to prioritize work, manage risks, communicate value, and guide less experienced team members.

Develops business intelligence applications and data models using Qlik, SQL, and related tools. Performs ETL, data validation, analytics process improvement, and impact analysis for reporting changes. Provides data-driven insights, supports audits and legislative inquiries, leads stakeholder meetings, and mentors teammates as a business intelligence subject matter expert.

Develops and maintains business intelligence applications, data models, reporting scripts, and analytics solutions using Qlik, SQL, and related tools. Imports data from multiple sources, validates data integrity, assesses downstream impacts, supports user testing, and collaborates with business stakeholders and IT to improve reporting processes and deliver actionable insights.

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, profiling, and data quality rule implementation (ACE/BRE, Express>IT). Work with SQL/databases, source data from disparate systems, support deployment, and deliver BI projects in a global delivery and banking domain environment.

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 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.

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.

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.

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 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.

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 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.