Top Senior Data & Analytics Jobs in Atlanta, GA

Leads organization-wide measurement, evaluation, and applied research initiatives. Designs research plans, evaluation strategies, data collection systems, indicators, and reporting approaches; analyzes quantitative and qualitative data; and translates findings into actionable insights. Oversees consultants, academic partners, vendors, and small teams while ensuring methodological rigor, ethical data practices, privacy, and quality assurance. Builds measurement capacity among staff and community partners, centers resident voice, and communicates impact through reports, dashboards, presentations, learning sessions, and stakeholder engagement.

Leads data and analytics engineering across cross-functional teams, translating business needs into technical solutions, managing data models and context layers, and ensuring data quality, governance, and accessibility. Establishes innovation environments, develops training and cross-skilling programs, mentors data professionals, supports self-service analytics and AI capabilities, and drives continuous improvement, technical reviews, and strategic data initiatives.

Conducts business process and systems analysis for credit reporting operations. Develops and maintains applications, specifications, coding logic, tests, and troubleshooting procedures. Analyzes Metro 2 files, rejection reports, disputes, and credit reporting trends; creates Power BI dashboards and visualizations. Collaborates with business units, IT, credit reporting agencies, and governance stakeholders to improve data accuracy, reporting practices, and regulatory compliance. May participate in after-hours on-call support.

Serves as the bridge between procurement stakeholders and technical data teams, governing procurement data across ERP, master data, data lake, BI, and reporting platforms. Responsibilities include defining data standards, maintaining metadata and mappings, validating transformations, monitoring data quality, resolving data issues, supporting testing, and enabling analytics. The role also translates business requirements into technical specifications and contributes to procurement transformation and continuous improvement.

Leads commercial real estate research, analytics, forecasting, risk analysis, and market intelligence using diverse economic, financial, lending, and real estate data. Oversees research tools, models, databases, and quality processes; communicates findings through reports, presentations, webinars, podcasts, and client materials. Mentors team members, partners with Client Services, and standardizes analytical and reporting practices across the Research Group.

Design, implement, and optimize scalable graph database solutions. Create graph data models, optimize queries and indexing for large datasets, integrate graph DBs with enterprise systems and ETL pipelines, recommend technologies, ensure security and availability, and collaborate with engineering and business teams on graph use cases.

Designs supply chain data governance frameworks, monitors data quality metrics, investigates discrepancies, and supports data cleansing across SAP ERP and WMS platforms. The role validates data integrity during migrations and integrations, develops SQL queries and Python automation, builds Power BI or Tableau dashboards, and partners with logistics, procurement, IT, and Enterprise Data teams to improve data pipelines and operational processes.

Analyzes digital product performance across web properties using Adobe Analytics, Google Analytics, tagging systems, statistical modeling, and data visualization. Develops measurement requirements, tracking specifications, dashboards, and actionable insights for product and marketing teams. Troubleshoots tags and data collection, supports experimentation and quality assurance, establishes analytics standards, and mentors analysts while communicating findings to stakeholders.

Leads teams delivering IT solutions and manages architecture, systems analysis, development, integration, deployment, maintenance, budgets, vendors, and technical support. Assesses business and client requirements, develops technology plans, ensures architectural compliance, resolves technical issues, coordinates software and hardware implementations, monitors performance, and manages training. Supervises staff, oversees hiring and performance management, negotiates contracts, and partners with business units on technology strategy and investments.

Leads analysis of infrastructure, platform, operational, and service data to identify performance trends, risks, capacity constraints, and optimization opportunities. Develops reliability, availability, performance, and capacity KPIs; performs anomaly detection and root-cause analysis; and supports infrastructure modernization decisions. Builds scalable analytics solutions using SQL, Python, Alteryx, APIs, and Power BI while partnering with engineering, operations, SRE, architecture, and technology leadership teams.