Top Data & Analytics Jobs in Atlanta, GA

Leads cross-platform data instrumentation and growth measurement across web and mobile products. Establishes event taxonomies, governs schemas, remediates Amplitude, architects GA4 and server-side tagging, configures advertising platform conversion signals, and leads incrementality testing. Partners with product, engineering, marketing, and agencies to improve attribution and optimize media spend. Builds auditing, observability, CI/CD linting, and SQL-based validation across BigQuery and Redshift.

Manages information governance, risk, and compliance initiatives focused on attorney and client onboarding, offboarding, client transfers, legal holds, and electronically stored information. Coordinates data identification, collection, classification, transfer, metadata accuracy, repository tracking, security controls, and workspace access. Supports attorneys and business teams, resolves policy inquiries, develops compliance procedures and educational materials, and contributes to technology workflows, integrations, analytics, and internal controls.

Coordinates research and evaluation data collection, quality assurance, database maintenance, follow-up assessments, and reporting. Supports needs and capacity assessments, HMIS enhancements, evaluation strategies, stakeholder reporting, and data participation among service providers. The role requires collaboration with research, quality assurance, and program teams, community outreach, regular travel, and interaction with veterans and individuals experiencing behavioral health challenges.

Analyze partner integration and operational data to identify trends, anomalies, bottlenecks, and root causes. Build data pipelines, models, dashboards, automation scripts, and operational tooling that improve efficiency, accuracy, monitoring, and scalability. Collaborate with engineering, product, and partner operations teams to translate operational challenges into technical solutions, reporting requirements, and process improvements.

Deliver analytics consulting projects involving process automation, data visualization, statistical analysis, and analytical tool development. Partner with stakeholders to identify business value, build minimum viable products and production applications, and train business users. Use tools such as Dataiku, Alteryx, Tableau, Power BI, Sigma, SQL, Python, cloud platforms, and modern databases while managing projects independently.

Own the end-to-end data architecture for multi-tenant enterprise SaaS and analytics products. Lead Azure SQL, Databricks, data lake, warehouse, BI, lifecycle management, ERP/SAP integration, observability, schema evolution, and data SLO initiatives. Manage DBA and database engineering standards, reliability, performance, HA/DR, and incident response while mentoring data engineers and partnering with product, projects, and BI teams.

Leads data availability, dashboard management, commercial analytics, and automation initiatives for global Commercial teams. Owns data products in Skywise and Qlik, uses statistical methods to generate business insights, develops AI-enabled automation solutions, and supports data governance and deployment. Partners with internal and external stakeholders, trains users on digital applications and robotics, and promotes a data-driven culture. The role requires at least three years of relevant experience and up to 15% domestic and international travel.

Performs advanced risk analytics, reporting, data management, visualization, and modeling to identify portfolio trends, risks, control gaps, and business opportunities. Develops SQL-based datasets, dashboards, and executive reporting; investigates data quality and control issues; supports regulatory requirements; and partners with senior stakeholders on strategic initiatives. Uses automation and approved AI tools to improve analytical efficiency, process effectiveness, and risk-management outcomes.

Own the technical architecture and execution of an enterprise Master Data Management program across Customer, Supplier, and Legal Entity domains. Design data models, golden-record survivorship, match-and-merge processes, integrations, data-quality rules, stewardship workflows, and AI-enabled capabilities. Lead build-versus-buy evaluations, platform evolution, governance, stakeholder alignment, technical reporting, and adoption. Establish measurable data-quality improvements, trusted records, lineage, auditability, and scalable real-time and batch data pipelines.

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.