Top Analytics Jobs in Atlanta, GA

Lead customer analytics engagements using data manipulation, visualization, statistical and predictive modeling. Build and maintain data pipelines, deploy scalable Power BI/Tableau solutions, manage and mentor teams, collaborate with client leadership to identify opportunities, and drive technology-enabled, data-driven decisions.

Lead data-driven diligence and value-creation analytics for private equity and corporate clients. Manage complex analyses, build pipelines and warehouses, develop predictive models, improve data quality, create visualizations (Alteryx, Power BI, Tableau), and coach teams to deliver actionable insights throughout the deal lifecycle.

The Analytics Engineer will enhance data assets, develop data models, optimize BI infrastructure, manage cross-functional partnerships, and ensure data quality through anomaly detection and documentation.

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

Lead Brambles' enterprise data foundations program: define and scale data strategy, governance, MDM, metadata, data quality and architecture; coordinate cross-functional delivery, embed data into ERP/analytics/digital programmes, build teams, and ensure compliance and global adoption.

Lead deal-diligence analytics for private equity and corporate clients, translating complex and third-party data into actionable insights across the deal lifecycle. Oversee multiple projects, drive business development, mentor teams, improve post-deal performance, and develop data integration, visualization, and quality solutions using tools like Alteryx, Power BI, and Tableau.

Lead complex data analysis for private equity and corporate deals across diligence, post-deal, and exit phases. Use advanced analytics, predictive modeling, and visualization tools to generate insights, improve data quality, collaborate with stakeholders, and coach teams to deliver strategic, data-driven recommendations at deal speed.

This role involves developing analytical solutions to business problems using data mining and visualizations, managing data logistics, and presenting actionable insights to stakeholders.

Lead and scale Scribd's Data & Analytics organization across Product Analytics, Data Science, and Analytics Engineering. Build operating model, data governance, experimentation frameworks, AI-native workflows, and infrastructure to accelerate insight delivery. Develop director-level leaders, recruit talent, and embed data-driven decision-making at the executive level to drive growth, retention, and portfolio-wide strategy.

Develop and deploy fraud detection models using analytics and machine learning, monitor real-time transactions, investigate incidents, design dashboards and reports, collaborate with IT and security, ensure regulatory compliance, and recommend preventive measures against payment and e-commerce fraud.

Lead decision science efforts for corporate and people analytics by designing experiments, performing explanatory and inferential analyses, building diagnostic and multivariate models, synthesizing insights, influencing strategic decisions, ensuring data quality and best practices, and mentoring analytic talent while partnering across the enterprise.

Assist in implementing digital analytics strategies, analyzing metrics, creating reports, and providing optimization recommendations for marketing clients.

The Head of Actuarial Pricing Analytics will lead the development of statistical models, enhance modelling processes, and drive AI adoption, while collaborating across teams to optimize pricing strategies for insurance products in North America.

Lead end-to-end growth analytics for SMB acquisition: build data foundations, measurement frameworks, and teams to optimize marketing investments, improve conversion, and drive scalable revenue growth.

The eCommerce Analytics Manager leads the creation and execution of analytics strategies to boost eCommerce growth by transforming data into actionable insights and supporting commercial decisions across teams.

Lead analytics and data science initiatives to drive measurable business outcomes across various functions, including Underwriting and Claims. Oversee the full analytics lifecycle, foster stakeholder engagement, and mentor junior team members.

Lead and scale a global marketing analytics function to standardize KPIs, modernize reporting and data models, deliver actionable insights, and partner cross-functionally to improve pipeline performance, ROI, and data-driven decision-making.

The Business Strategist will align client strategies with data analysis solutions, managing projects and analytics to provide insights and recommendations for business growth.

The Insights Analytics Senior Manager translates data into actionable insights, leads analytics projects, and develops tools to support strategic business decisions at Kids2, while managing a global analytics team.

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

Lead benefits analytics for private equity-backed clients: acquire and validate data, build financial models and projections, produce dashboards and executive reports, present insights to clients, manage projects, mentor junior analysts, and coordinate vendors and reconciliation efforts.

Lead analytics implementations for public safety clients: build and optimize data pipelines, models, Power BI/SSMS/SSRS reports and dashboards; train users, create eLearning and instructional materials, mentor junior engineers, and serve as primary technical SME for crime analytics and customer escalations.

Design, build, and maintain production ETL/ELT pipelines, analytics-ready data models, and cloud data infrastructure. Improve pipeline performance, data quality, governance, and migrate legacy systems to modern platforms. Collaborate with stakeholders to translate business requirements into reliable data products for project, financial, and operational analytics.

Lead the global analytics strategy for connected equipment, translating equipment data into scalable data products and AI-driven insights. Partner with product, engineering, and business leaders to build interoperable cloud data platforms, establish governance and quality standards, and drive adoption through storytelling and self-service tools. Influence roadmaps and scale advanced analytics use cases across markets.

Lead and manage analytics and growth teams to support market strategy, forecasting, and performance tracking. Analyze market and demographic data, prepare feasibility and P&L forecasts, collaborate with Finance, Strategy, and Operations, develop analytics tools and long-term data strategy, and coach and manage staff to drive treatment growth and strategic initiatives.