Top Senior Analytics Jobs in Atlanta, GA

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 and develop an analytics team to deliver timely, accurate commercial insights. Build and maintain scalable dashboards, models, and reporting; ensure data quality and governance; partner with cross-functional stakeholders to drive revenue optimization, pricing integrity, and ad hoc commercial initiatives.

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.

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.

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.

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.

Analyze large datasets and build/validate predictive models to identify and monitor portfolio risk. Produce recurring and ad-hoc reporting and management presentations, troubleshoot data issues, collaborate with IT and business partners, and support decision-making through actionable analytics.

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.

The role involves designing reports and dashboards for HR metrics using Power BI. It requires analyzing HR data, ensuring data quality, and collaborating with stakeholders. The position also includes supporting junior team members and maintaining data platforms.

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 design and develop reports and dashboards using Qlikview, Tableau, Spotfire, and D3, while supporting the team and analyzing application requirements.

The Visual Analytics Architect will design and develop Qlikview, Tableau, Spotfire, and D3 dashboards, mentor team members, and analyze application requirements.

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

The Visual Analytics Architect will design and develop reports and dashboards using various tools, mentor team members, and analyze application requirements. The role requires extensive experience in BI reporting projects and data warehouse development.

Lead and manage an analytics team to design and deliver self-service BI, dashboards, reports, and data warehousing solutions. Define analytics roadmaps and metrics, ensure data integrity, collaborate with cross-functional teams, support end users, and manage project communications to drive measurable business results.

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.

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 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.