Top Analysis Reporting Jobs in Atlanta, GA

Leads enterprise business data strategy, governance, analytics, business intelligence, AI enablement, and data modernization. Partners with executives and cross-functional leaders to establish data ownership, improve quality, develop analytics and KPI frameworks, prioritize AI use cases, and measure transformation value. Builds data-focused organizational capabilities, drives adoption and data literacy, develops investment cases, and guides enterprise initiatives that improve forecasting, planning, operational decisions, and business outcomes.

Leads enterprise business data strategy, governance, analytics, business intelligence, AI enablement, and modernization initiatives. Establishes data ownership models, roadmaps, KPIs, and governance frameworks while partnering with executives and business functions. Builds data and analytics capabilities, develops investment cases, drives transformation value realization, promotes data literacy, and leads cross-functional change to improve decision-making and business outcomes.

Leads enterprise data architecture, SQL Server administration, data warehouse design, ETL/ELT pipelines, Azure data platforms, data governance, master data management, and business intelligence strategy. Partners with business and IT stakeholders to deliver scalable analytics solutions across financial, HR, CRM, operational, and practice management systems. Provides technical leadership, vendor coordination, architecture documentation, and mentorship.

Bridges procurement stakeholders, governance teams, business analysts, and engineers to define data contracts, map procurement data to OCDS, and build Databricks pipelines. Responsibilities include requirements gathering, source-to-target mapping, data modeling, validation, quality controls, lineage, governance, and production support. Develops Bronze, Silver, and Gold data layers using Spark, PySpark, Python, SQL, Delta Lake, and Databricks services while supporting Agile delivery, testing, deployment, and troubleshooting.

Build and run an enterprise data governance program: create policies, standards, and controls; establish data use and de-identification programs (HIPAA-compliant); define ownership and stewardship; measure and remediate data quality; maintain governance artifacts; align cross-functionally; report and drive adoption and training.

Supports enterprise data and analytics initiatives by gathering requirements, writing user stories, managing Jira backlogs, documenting workflows and data mappings, validating data with SQL, and assisting with Power BI reports and DAX measures. Participates in Agile ceremonies, UAT, process improvement, sprint planning, and client stakeholder engagement while helping deliver data-driven solutions across consulting engagements.

Owns the full lifecycle of institutional client reporting, including investment-data validation, reporting pipeline development, performance attribution, reconciliation, client deliverable production, and workflow automation. The role uses Python, SQL, and AI-assisted tools to improve accuracy, scalability, and efficiency while partnering with investment, technology, product, and compliance teams.

The AVP, Data Engineer will design and build data ingestion, transformation, and replication pipelines using SQL, Python, dbt, and Dagster. Responsibilities include translating requirements into technical designs, developing data products, debugging production issues, supporting testing, and improving data engineering practices. The role also involves data modeling, mentoring junior engineers, conducting code reviews, and providing technical leadership while remaining hands-on. Experience with modern data platforms, workflow orchestration, cloud ecosystems, and insurance or financial services is preferred.

Investigate difficult public and municipal data sources, reconstruct and validate datasets, design data models, and build production systems for acquiring and refreshing data. The role partners with operations and state expansion teams, prototypes solutions, reviews TypeScript, uses PostgreSQL and spatial data, and owns reliable production implementations supporting affordable housing site selection.

Leads enterprise database administration across SQL Server, Azure SQL, and Microsoft Fabric environments. Manages database security, performance, availability, disaster recovery, ETL platforms, scheduling, governance, audits, modernization, automation, and cloud adoption. Provides leadership to offshore DBAs, oversees vendors, drives upgrades and deployment standards, and partners with engineering, infrastructure, security, governance, and application teams to maintain reliable, compliant data platforms.