Top Senior Analysis Reporting Jobs in Atlanta, GA

Leads customer segmentation, personalization, and customer master data strategy. Develops models, personalization roadmaps, data governance practices, and unified customer profiles to support targeted marketing and customer experience initiatives. Partners with CRM, marketing, analytics, technology, and operations teams; monitors KPIs; ensures data quality and privacy compliance; and manages a team of insights analysts and specialists.

Performs independent quality assurance and validation across enterprise data platforms, warehouses, integrations, reporting solutions, and business processes. Responsibilities include data quality analysis, test strategy and automation, regression and release validation, incident investigation, root cause analysis, requirements traceability, governance, regulatory validation, and monitoring data quality metrics. The role partners with engineering, business, compliance, and operational teams while improving enterprise data integrity, reliability, and governance.

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.

Administer and monitor AWS PostgreSQL databases, optimize complex queries, review schemas and indexes, guide data architecture, support releases and infrastructure growth, and maintain RDS systems. The role also automates manual workflows using AI tools, collaborates cross-functionally, and mentors junior and mid-level engineers while establishing database best practices.

The VP of Data Science & Strategy will transform complex business challenges into actionable growth strategies, leveraging data to influence decisions and drive company strategy.

The role involves architecting and designing BI solutions using QlikView, leading teams, optimizing data models, and providing technology advisory services.

Design, build, and optimize modern Azure and Databricks data platforms for clients. Develop batch and streaming ingestion pipelines, lakehouse and medallion architectures, dimensional models, and transformation workflows. Lead discovery sessions, requirements workshops, architecture discussions, and solution reviews. Recommend practices for governance, lineage, monitoring, DevOps, security, and data modeling while translating business needs into scalable technical solutions and communicating with technical and executive stakeholders.

Leads data engineering for Payment Operations monitoring transformation. Designs and maintains Snowflake pipelines, tables, stored procedures, monitoring scenarios, KPI infrastructure, and data quality controls. Serves as the Snowflake subject matter expert, documents architecture and operational processes, guides technical partners, and translates business needs into scalable data solutions. The role requires production data engineering experience, advanced SQL, Snowflake expertise, job scheduling, pipeline operations, and stakeholder communication.

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

Data and Analytics Consultants deliver strategic initiatives using data-driven decisions, collaborating with clients and teams to solve complex business problems with technology solutions.