Top Analysis Reporting Jobs in Atlanta, GA

Own an analytics project for go-to-market teams by combining CRM, campaign, and account data with SQL and Python. Build reusable data models, define acquisition and pipeline metrics, investigate data quality issues, add validation checks, and create dashboards and analyses. Communicate findings, recommendations, assumptions, and limitations to stakeholders while documenting reproducible workflows.

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.

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.

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.

Designs, builds, tests, and supports enterprise data pipelines and Snowflake archival solutions for acquisitions, integrations, reporting, compliance, and analytics. Translates business and technical requirements into mappings, transformations, quality rules, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams. Oversees validation, monitoring, documentation, cutover, go-live readiness, hypercare, and operational handoff while improving reusable, secure, cost-efficient data engineering practices.

Conducts qualitative and quantitative evaluations of public health emergency responses and preparedness exercises. Develops evaluation plans, analyzes data, monitors data quality, identifies capability gaps, and produces reports, dashboards, visualizations, briefings, and recommendations. The role coordinates data requests, supports decision-making, communicates findings to varied audiences, maintains analytic documentation, and applies statistical learning and public health analytics in high-tempo emergency environments.