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.

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

Leads long-range workforce and resource planning for contact center operations. Owns demand forecasting, staffing, capacity, headcount, cross-skill, and scenario models across business lines and channels. Develops advanced predictive and prescriptive analytics, performance metrics, and decision-support tools using complex data sets. Advises executives on resource allocation, service levels, costs, and business performance while governing data quality and analytical processes. Leads capacity planning analysts and drives continuous improvement through automation, machine learning, and improved forecasting methodologies.

Leads enterprise analytics initiatives, partnering with senior leaders to define business questions, analyze complex datasets, conduct experimentation, develop dashboards, automate reporting, and deliver data-driven recommendations. The role influences growth, customer experience, operations, risk, technology, and banking decisions while mentoring analysts and advancing enterprise analytics capabilities.

Leads data and analytics engineering across cross-functional teams, translating business needs into technical solutions, managing data models and context layers, and ensuring data quality, governance, and accessibility. Establishes innovation environments, develops training and cross-skilling programs, mentors data professionals, supports self-service analytics and AI capabilities, and drives continuous improvement, technical reviews, and strategic data initiatives.

Analyzes digital product performance across web properties using Adobe Analytics, Google Analytics, tagging systems, statistical modeling, and data visualization. Develops measurement requirements, tracking specifications, dashboards, and actionable insights for product and marketing teams. Troubleshoots tags and data collection, supports experimentation and quality assurance, establishes analytics standards, and mentors analysts while communicating findings to stakeholders.

Lead Workday reporting and analytics for HR: design, build, and maintain advanced Workday reports and integration data sources; manage reporting projects end-to-end; partner with HR COEs and HR Technology; mentor report writers; ensure data quality, governance, and audit readiness; and help extend analytics via Prism or Power BI and adopt AI-assisted capabilities.

Deliver analytics consulting projects involving process automation, data visualization, statistical analysis, and analytical tool development. Partner with stakeholders to identify business value, build minimum viable products and production applications, and train business users. Use tools such as Dataiku, Alteryx, Tableau, Power BI, Sigma, SQL, Python, cloud platforms, and modern databases while managing projects independently.

Develops AI, analytics, SQL, Python, and Tableau solutions for Internal Audit across risk assessment, planning, testing, reporting, and continuous monitoring. Builds data extraction and reconciliation workflows, audit dashboards, repeatable testing scripts, and AI-assisted tooling. Assesses data lineage, controls, and risks across business systems, supports GRC administration, identifies automation opportunities, and trains audit staff on analytics and AI-enabled workflows.

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.

Designs, builds, tests, and supports enterprise data pipelines and Snowflake archival solutions for acquisitions, integrations, reporting, compliance, and analytics. Translates business and technical requirements into mappings, transformations, quality rules, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams. Oversees validation, monitoring, documentation, cutover, go-live readiness, hypercare, and operational handoff while improving reusable, secure, cost-efficient data engineering practices.

Designs and implements governed enterprise data pipelines and Snowflake archival solutions supporting acquisitions, integrations, compliance, reporting, and analytics. Partners with architecture, security, application, infrastructure, business, and vendor teams to translate requirements into scalable pipelines, mappings, quality controls, monitoring, documentation, and deployment plans. Leads migration, cutover, validation, hypercare, and operational handoff activities while improving reusable engineering patterns, automation, performance, cost efficiency, and data observability.

Designs and supports claims data pipelines, integrations, ETL/ELT processes, reporting infrastructure, BI architecture, and automation solutions. Develops claims data models and analytics for segmentation, triage, assignment, and workflow optimization. Supports cloud platforms, AI-enabled predictive analytics, governance, validation, system integrations, testing, and deployment. Partners with Claims, IT, Finance, SIU, and Data teams to improve data accessibility, operational visibility, and reporting accuracy.

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.

Leads enterprise customer experience analytics, reporting, forecasting, automation, AI-assisted operations, and digital self-service initiatives. Builds dashboards, workforce models, retention insights, and containment strategies while partnering with CX, IT, Product, Claims, and AI teams. Drives contact center efficiency, customer retention, and service improvements, and helps establish a scalable Innovation & Analytics function.

Designs, builds, tests, and supports enterprise data pipelines for acquired-company system integration and Snowflake archival. Translates business and technical requirements into mappings, transformations, quality controls, monitoring, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams to deliver governed, reusable data solutions. Supports migration, cutover, validation, documentation, hypercare, and operational handoff while improving automation, performance, cost efficiency, and data observability.

Designs and implements governed enterprise data pipelines supporting acquisitions, system integration, archival, reporting, analytics, and compliance. The role uses Snowflake to build scalable ingestion, transformation, validation, reconciliation, and archival solutions. It partners with architecture, security, infrastructure, application, business, vendor, and M&A teams; creates mappings and documentation; supports migration, cutover, go-live, and hypercare; and leads reusable, secure, observable data engineering practices.

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

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.

Leads client and sales analytics supporting go-to-market strategy, segmentation, campaign targeting, sales coverage, and advisor prioritization. Develops dashboards, data products, and business intelligence solutions using modern analytics tools. Partners with distribution, marketing, product, data science, and technology teams to translate business questions into scalable solutions, influence executives, and drive adoption of data-driven decisions.

Leads the Underwriting Data Engineering team and oversees the design, development, and productionization of scalable data and machine learning pipelines. Responsibilities include feature engineering, data preparation, model deployment, data validation, governance, monitoring, API integration, analytic data products, roadmap development, stakeholder collaboration, and team coaching.

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.

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 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 growth of the customer analytics practice for Communications, Media & Technology clients. Define strategies and thought leadership, communicate analytics value, and lead large-scale, complex client engagements. Deliver customer analytics, CRM modeling, reporting, and predictive analytics solutions to drive client outcomes.