Top Analysis Reporting Jobs in Atlanta, GA

Provide data-driven insights and operational support for key customer accounts, manage billing lifecycle, audit statements, resolve escalations, build recurring reports and dashboards, analyze complex datasets to drive cost savings and process improvements, and collaborate cross-functionally to improve operations.

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.

Lead growth of the customer analytics practice for Communications, Media & Technology clients. Define strategies and thought leadership, communicate analytics value, and lead large-scale, complex client engagements. Deliver customer analytics, CRM modeling, reporting, and predictive analytics solutions to drive client outcomes.

Design and build scalable data lakes, warehouses, and lakehouses. Implement Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest data from third-party APIs, optimize columnar file formats and SQL, support ML initiatives, and consult with stakeholders to translate business needs into data architecture roadmaps.

Provide day-to-day administration and production support for Snowflake, Matillion, and related data platforms. Monitor jobs and performance, troubleshoot ETL/ELT and report refresh failures, manage access and deployments, maintain runbooks, and build AI-driven automation and agent-based workflows to improve operational reliability and efficiency.

Own and operate the Salesforce CRM Analytics practice: build and maintain CRMA dashboards, SAQL queries, dataflows and datasets; ensure performance, security, and data quality; integrate Data Cloud; collaborate with architects and analysts; mentor junior staff.

Lead architecture and build scalable, high-performance data pipelines and transformation layers (dbt/Snowflake). Define data modeling standards, mentor engineers, partner with stakeholders to deliver trusted data products, enforce governance, optimize costs, and improve tooling, testing, and documentation.

Designs and governs Axiom's enterprise data model, sets data governance and quality standards, manages a Data Engineer, aligns data architecture and AI technology choices with enterprise strategy, administers Databricks, and ensures documented lineage, ownership, and data access for stakeholders.

Design, build, and validate data models and transformation pipelines in Microsoft Fabric. Create and maintain Power BI semantic models and enable self-service reporting. Translate stakeholder needs into analytics solutions, enforce governance and modeling standards, use Git for version control, and support testing, documentation, and continuous improvement.

Lead enterprise vision, strategy, and operating model for data and analytics engineering. Build and scale multi-layer engineering organizations, govern and modernize cloud-based data platforms, champion data products and AI capabilities, manage budgets and vendors, and partner with executive stakeholders to drive analytics adoption and transformation.