Top Senior Data & Analytics Jobs in Atlanta, GA

The Senior Enterprise Applications Engineer designs and maintains data architecture and pipelines, supports financial reporting, manages projects, and mentors junior members while utilizing business intelligence tools and emerging technologies.

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

The Manager of Media Analytics & Optimization will lead media performance measurement, drive insights for decision-making, and foster collaboration with senior stakeholders, while utilizing skills in analytics and AI.

This role analyzes data and generates insights regarding law firm spending and performance. Responsibilities include reporting, stakeholder management, and process improvement.

The role involves embedding with teams to drive data product onboarding, developing solutions, and enabling clients to self-serve data products with a focus on AI-assisted development and platform evolution.

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.

As a Senior Data Architect, you will design and implement data architecture solutions, ensure data quality, and optimize data integration for analytics, primarily focusing on healthcare data.

As a Lead Data Engineer, you'll architect data pipelines for IoT telemetry, develop AI solutions, enforce data governance, and mentor team members.

The Sr. Data Analyst role involves analyzing product telemetry data, building analytical models, writing SQL queries, and ensuring data quality to support operational decision-making.

Lead design and implementation of an enterprise MDM program (Customer, Supplier, Legal Entity). Drive cross-functional alignment, change management, governance, tool selection/integration, KPIs, and partnerships with Digital Technology and vendors to ensure data consistency and operational adoption.