Top Senior Analytics Jobs in Atlanta, GA

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.

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 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.

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 HR analytics for People & Culture and Capacity & Resource Management: build and maintain dashboards and reports, extract/clean large datasets, deliver talent and capacity insights, run data-driven programs, improve reporting processes, maintain documentation, and mentor team members while collaborating across functions to inform strategic workforce decisions.

Design, build, and maintain scalable batch and streaming data pipelines, develop curated datasets and models, implement data quality/observability, optimize performance/cost, and create/maintain analytics dashboards and reports while collaborating with stakeholders and platform/security teams.

Lead complex analytics projects for commercial real estate: translate business needs into data solutions, perform advanced statistical modeling and scenario analysis, design launch and change-management plans, mentor junior analysts, and partner with technical teams to implement cloud-based analytics (Azure) and visualization solutions.

Perform financial due diligence data analytics for middle-market M&A: obtain, validate, normalize, analyze transaction data (revenue, costs, inventory), produce dashboards and visualizations, identify trends/outliers, and communicate insights to deal teams and clients.

Lead U.S. enterprise analytics, BI reporting, AI-enabled analytics, and data governance. Design and maintain Power BI dashboards, KPI frameworks, semantic models, and self-service BI. Drive AI+BI integration (anomaly detection, forecasting, natural language analytics), support executive reporting and root-cause analysis, and collaborate with global HQ to ensure consistent KPI definitions and governance. Provide user training and improve data literacy.

Manage a team to produce repeatable reports and dashboards, ensure data integrity, support BI tool users, develop complex analytics, collaborate with Sales/Marketing/Customer Care, and design A/B and multivariate tests to drive measurable financial results.

Lead design and delivery of predictive and prescriptive analytics, build optimization and simulation models, translate technical outputs into business recommendations, mentor junior analysts, embed decision-support into dashboards and workflows, and promote technical standards and adoption across the analytics team.

The Program Director of Data & Analytics at Prologis will lead teams in transforming data through AI, overseeing budgets, resource allocation, and ensuring effective use of analytics tools while driving adoption and continuous improvement across data initiatives.

Develop and maintain sales datasets, Power BI reports, and dashboards; extract, transform, validate, and automate sales data using SQL, Databricks, and Python; document metrics and logic; perform ad hoc and advanced analyses to support sales performance, forecasting, territory strategy, and executive reporting.

Write complex SQL queries and manipulate large datasets to produce end-to-end financial analysis of domestic and global roaming traffic. Gather requirements, identify data sources, rationalize results, produce written analysis, troubleshoot queries, and collaborate cross-functionally to make recommendations and support reporting needs.

Manage and analyze enterprise data to deliver strategic reporting tools. Develop and deliver reporting and analytic solutions that leverage BI and data warehousing to drive insights and action for internal and external stakeholders. Support department efforts to extract value from data and ensure successful delivery of enterprise reporting projects.

The Analytics Engineer collaborates with teams to develop data assets, optimize data infrastructure, manage data pipelines, and support analytics processes, ensuring data quality and reliability.

Design and govern operational experiments in live warehouse environments, defining hypotheses, metrics, and measurement frameworks. Execute and analyze workflow tests, inventory strategies, and simulation models to inform fulfillment configuration and automation adoption. Collaborate with warehouse associates and cross-functional teams to translate results into production pilots and scaled operational changes.

Lead development and maintenance of supply chain data, analytics, and optimization tools. Build and tune data models, ETL, and reporting; drive standardization, automation, and validation of product flows; coach teams and partner across functions to improve supply chain decision-making and tool capabilities.

Senior analytics role identifying and explaining healthcare trend drivers. Leads complex analyses, develops dashboards and actuarial pricing/valuation, mentors junior analysts, and promotes AI, automation, and visualization adoption to inform business decisions and risk management.

Deliver predictive analytics solutions; manage customer projects; collaborate across teams; promote analytics use in various industries; lead teams and provide analysis.

Lead client-facing customer analytics engagements, translate customer and marketing data into actionable insights, design experimentation and measurement frameworks (A/B, holdouts, incrementality), oversee distributed delivery teams, mentor analysts, and support business development to scale analytics offerings that improve customer engagement, retention, and marketing effectiveness.

The Visual Analytics Architect will develop and design dashboards using Qlikview, Tableau, Spotfire, and D3, while mentoring team members and analyzing application requirements.