Top Senior Analytics Jobs in Atlanta, GA

Lead complex data analytics projects for private equity and corporate clients across the deal lifecycle. Translate data into actionable insights using visualization and modeling tools, improve data quality, build predictive models, collaborate with cross-functional teams, coach staff, interact with clients strategically, and validate outcomes to drive deal decisions and performance improvement.

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 analytics modernization efforts by migrating SAS workflows to R/Python, establishing validation and reproducibility standards, implementing CI/CD and version control, mentoring teams, and supporting cloud-based scalable analytics platforms for public health and research environments.

Lead eCommerce analytics by building dashboards and self-serve reports, measuring funnel and revenue impact, performing deep-dive analyses, integrating and validating multi-source data, defining KPI standards, supporting experimentation, using AI-assisted tools to automate reporting, and communicating insights to web, marketing, and commerce stakeholders.

Lead analytics strategy, semantic/reporting layer, and BI governance across Redshift/Athena and QuickSight/Tableau. Partner with platform teams on domain models, ensure data quality and documentation, mentor analysts, prioritize workstreams, communicate insights to executives, and optimize analytical workload cost and performance while enforcing data governance and access policies.

Lead cross-functional analytics projects to support broadband sales, retention, promotions, pricing, trials, and launches. Perform statistical and root-cause analyses, build automated visualizations and executive materials, advise leadership with actionable insights, and manage competing long-term and ad-hoc analytic priorities across national and local markets.

Lead design and governance of KPIs, semantic layers, and analytics assets. Perform advanced SQL tuning across RDS/Oracle/Redshift and cost-aware Athena querying. Build reproducible Python analyses, data validation, anomaly detection, deep-dive analytics, source-to-target mapping, and drive BI dashboard UX and version-controlled analytics engineering practices.

Design, build, and maintain ETL/ELT pipelines and API integrations to ingest, cleanse, transform, and analyze infrastructure and cloud data. Produce analytics, dashboards, and executive reports; automate workflows and support near-real-time processing. Follow SDLC/DevOps practices (Git, CI/CD), ensure data governance, quality, lineage, and support incident, release, and compliance activities.

Manage and secure the organization's data operations: administer and optimize relational databases, maintain Tableau dashboards, lead offshore DBAs/analysts, ensure HIPAA-compliant backups/recovery, support ETL/data ingestion pipelines, automate routine tasks, and collaborate with developers and data engineers to improve performance and data integrity.

Design, build, and maintain enterprise Power BI dashboards, data models, and ETL workflows. Perform statistical and geospatial analyses, ensure data quality and governance, translate stakeholder needs into KPIs and reports, mentor junior analysts, and present insights to technical and non-technical audiences to support public health and government programs.

Lead planning, execution, and delivery of large enterprise data and analytics projects. Manage project life cycle, risks, budgets, vendors, stakeholders, and cross-functional teams. Enforce PM best practices, create WBS, produce status/KPI reports, mentor team members, handle escalations and on-call support, and drive process improvements and project closures.

Build and maintain governed, activation-ready marketing data products in Snowflake. Design canonical marketing data models, event-streaming, identity resolution, quality checks, and reverse-ETL activation for marketing, CRM, paid media and AI use-cases. Enable predictive scoring, attribution, and AI-ready context layers while partnering with cross-functional stakeholders.

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.

Design, build, and maintain enterprise analytics solutions, semantic models, and reporting datasets using Microsoft Fabric, Databricks, SQL, Python, and BI tools. Lead data modeling, data quality, CI/CD, and performance optimization; translate business requirements into scalable analytics; mentor engineers and collaborate with architects and stakeholders to deliver trusted, self-service and executive reporting across the Americas.

Lead strategy, technology, and delivery for Digital Workplace analytics to drive platform adoption. Manage analytics tools, data governance, KPIs, dashboards, predictive analytics, and stakeholder engagement. Translate insights into actions, enable self-service reporting, and align DWP metrics with enterprise outcomes. Represent and evangelize analytics across leadership and partner teams.

Lead creation and delivery of global consumption and purchase analytics to inform marketing and category strategies. Build reports, dashboards, and AI-enabled analytics, translate insights into recommendations, collaborate across marketing, insights, and commercial teams, and scale analytics through automation and productization.

Lead category analytics to generate actionable insights for monthly/quarterly/annual business reviews and long-range planning. Improve analytics tools and processes, drive adoption of analytics in category planning, ensure data quality, and collaborate with global stakeholders to support category growth and innovation.

Lead a global analytics team to deliver category and innovation intelligence, drive analytics integration into category planning, present strategic insights to stakeholders, manage change adoption, and build a global community of practice to support data-driven decision-making and innovation execution.

Design, build, and maintain end-to-end data pipelines and models for CX analytics. Integrate structured and unstructured sources, support BI and AI/LLM-enabled workflows, optimize performance and scalability, mentor junior engineers, and collaborate with data scientists and business partners to deliver reliable, automated analytics solutions.

Lead design and implementation of scalable data pipelines and models for CX analytics. Integrate structured and unstructured sources (DB2, SQL Server, Teradata, Web APIs), enable AI/LLM workflows, define data engineering standards, mentor engineers, and partner with data scientists and BI to deliver reliable analytics and automation.

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.

Manage a team to build repeatable reports, dashboards, and scorecards; ensure data integrity and support self-service BI users; collaborate with Sales, Marketing, Customer Care and Strategy; design and run A/B and multivariate tests; communicate project status and deliver analytics that drive business decisions.