Top Senior Analysis Reporting Jobs in Atlanta, GA

The role involves providing technical expertise in data architecture, developing business intelligence solutions, ensuring data governance, and mentoring team members.

Manage NetSuite projects, implement solutions, and maintain client relationships. Facilitate workshops, train users, and ensure compliance with standards.

Lead customer-facing analytics to turn multi-source data into actionable insights that drive growth and retention. Embed analytics in sales cycles, build dashboards and playbooks, translate business questions into solutions, capture customer needs, deliver trainings and demos, combine internal and industry signals to craft market perspectives, and engage with strategic customers and industry forums.

The Data Analyst will build data pipelines, analyze complex datasets, and provide insights to support decision-making across multiple stakeholders in GFiber.

The Director of Data Engineering leads data engineering strategies, architects data platforms, ensures data governance, and collaborates with stakeholders to improve data-driven decisions.

The Senior Product Analyst will analyze product pricing and performance, produce reports, and assist Product Management with data analysis for competitive opportunities.

Design and implement cloud-native Azure data architectures, data models, ELT processes, governance, and security. Collaborate with engineering, BI, and data science teams to optimize pipelines, ensure data quality, document designs, and support system stabilization for analytics and operational use cases.

Lead AML transaction monitoring compliance, oversee data governance, and participate in business strategy. Apply analytics and build dashboards to translate risks into metrics.

The Director of Marketing Analytics will oversee data collection, modeling, and visualization to provide actionable insights for marketing strategies, manage analytics roadmaps, and champion data usage across the team.

Lead client engagements to define objectives and deliver end-to-end decision science solutions using optimization, simulation, ML, and statistical modeling. Provide technical leadership, execute project plans, develop models, deploy solutions, and upskill clients and teammates.