Top 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.

Lead data-driven diligence and value-creation work for private equity and corporate clients. Manage teams and client accounts, perform complex analysis, develop predictive models and scenarios, build/maintain data pipelines and warehouses, improve data quality, and deliver visualizations and actionable recommendations using tools like Alteryx, Power BI, and Tableau.

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.

Perform day-to-day data analysis and reporting to support decision-making, build/maintain databases, audit data quality, create visual reports/dashboards, and partner with Data Governance. Provide insights on trends, support automation, and mentor junior analysts.

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.

Lead quota modeling, territory design, and commission planning; maintain Salesforce data and dashboards; leverage Gong/Clari and AI tools to improve forecast accuracy; produce executive-ready sales performance analysis; collaborate cross-functionally and drive continuous improvement in reporting and data governance.

Design, validate, and deploy advanced quantitative models and predictive analytics to improve efficiency, reduce costs, and increase revenue. Collaborate with business partners to gather requirements, perform big data analysis, run simulations, and produce reports. Support model verification/validation and deployment.

Lead analytics for clinical decision support adoption and engagement: define metrics, query event-level usage, build dashboards, analyze funnels and cohorts, partner with product and cross-functional teams, and translate findings into actionable product recommendations to improve adoption and outcomes.

Design and build advanced Workday reports and interactive dashboards, ensure HR data quality and governance, translate complex data into actionable insights for HR stakeholders, support regulatory compliance (OFCCP), and drive improvements to reporting processes and documentation.

Lead enterprise-scale strategic initiatives across Branch & Small Business Banking, combining program management, analytics, and executive communication. Drive transformation in data, reporting, scorecards, incentives, and workforce planning. Provide strategic analyses, develop business cases and forecasts, deliver executive presentations, manage cross-functional governance, and ensure adoption and measurable business impact.

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.

Lead a team to build repeatable reports, dashboards, and scorecards; ensure data integrity; provide BI support; collaborate with cross-functional stakeholders; design and manage A/B and multivariate tests; manage project communications and deliverables.

Analyze and model business data to uncover patterns and produce actionable insights. Manage data logistics, build and maintain data support tools and metadata, ensure data quality, create visualizations and presentations, and work with stakeholders across marketing, sales, and supply chain while managing multiple projects.

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, develop, and maintain Power BI dashboards and reports; build data models, DAX measures, and Power Query ETL; perform statistical and geospatial analyses; validate and monitor data quality; collaborate with stakeholders to define KPIs; document solutions and present analytical insights to technical and non-technical audiences to support public health and program decision-making.

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.

Lead franchise analytics, BI, and market planning to support franchise development, operations, and portfolio strategy. Build dashboards, forecasts, reporting platforms, and decision-support tools; drive cross-functional projects, process automation, and franchisee performance improvements.