Top Analytics Jobs in Atlanta, GA

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.

Analyzes commercial fraud alerts and large datasets to reduce false positives, assess fraud risk, and develop mitigation strategies. Creates business rules, reports, data controls, and analytical models using SQL, SAS, Excel, Tableau, and related tools. Partners with business and technology teams on requirements, testing, automation, data governance, incident resolution, and performance reporting. Supports fraud strategy, data quality, compliance, and senior management decision-making.

Analyze and validate purchasing-process data, translate findings into recommendations, build dashboards and reports, and responsibly use AI tools. Collaborate with stakeholders, manage multiple tasks, complete a capstone project, and present insights to a large audience.

Partners with business leaders to transform complex data into actionable insights. Leads analytics initiatives involving data analysis, KPI frameworks, experimentation, forecasting, performance measurement, dashboards, and visualization. Uses SQL, Python, Power BI, and cloud data platforms to support strategic decisions, improve customer experiences, and drive business performance. Collaborates with technology, data engineering, and governance teams while mentoring analysts and promoting data-driven practices.

Leads the strategic direction of performance analytics and measurement for global enablement efforts. Owns the analytics roadmap, defines KPIs, develops AI-driven seller-readiness assessments, and partners with data engineering, sales, enablement, and technology teams. Translates complex analysis into executive-level insights, drives cross-functional alignment, and leads strategic measurement initiatives.

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.

Supports collection, validation, analysis, visualization, and reporting of operational, financial, utility, and environmental performance data across a multifamily real estate portfolio. The intern reviews data quality, identifies trends and anomalies, develops stakeholder presentations, evaluates business initiatives, and assists with business intelligence, benchmarking, certifications, and sustainability projects.

Leads advanced analytics and data engineering for support, web, and omnichannel activities. Builds scalable batch and streaming pipelines, curated datasets, data models, dashboards, and KPI reporting. Applies data architecture, quality monitoring, observability, performance optimization, access controls, documentation, testing, and CI/CD practices. Partners with stakeholders to translate requirements into maintainable data solutions.

Leads the Claims insights and analytics function, partnering with senior Claims, Reserving, Actuarial, Finance, and Underwriting stakeholders. Translates business priorities into reporting, dashboards, data products, predictive analytics, AI, and automation initiatives. Oversees delivery, measurable business value, governance, stakeholder adoption, and team development while improving claims outcomes, operational efficiency, leakage management, reserving effectiveness, and decision-making.

Leads Cisco’s global compliance data analytics program, managing the Compliance Analytics & Enablement team. Develops multi-year analytics and AI/ML roadmaps, builds automated compliance risk monitoring and early-warning systems, integrates enterprise data sources, and delivers actionable insights to senior executives and the board. Partners with Legal, Compliance, Audit, engineering, and business teams to support compliance-by-design, regulatory risk mitigation, and data-driven decision-making.

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.

Leads business intelligence and decision analytics strategy, overseeing data systems, reporting, optimization models, data quality, budgets, and cross-functional teams. Uses supply chain, customer, product, transactional, and financial data to identify operational and distribution improvements that increase profitability. Partners with senior leaders to implement advanced analytics capabilities and promote data-driven decision-making across the organization.

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.

Design and deliver data-driven solutions: mine and model data, manage data logistics and metadata, build data support tools, QA outputs, create visualizations and presentations, and communicate actionable insights to business partners while managing multiple projects.

Manages actuarial and quantitative analytics for marine and boiler insurance products. Leads strategic initiatives, performs pricing, reserving, forecasting, statistical, and research analyses, and communicates insights to business partners and leadership. Drives process improvements, manages projects, mentors staff, supports talent development, and contributes to underwriting, product management, and enterprise initiatives.

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.

The Head of Actuarial Pricing Analytics will lead the development of statistical models, enhance modelling processes, and drive AI adoption, while collaborating across teams to optimize pricing strategies for insurance products in North America.

Assist in implementing digital analytics strategies, analyzing metrics, creating reports, and providing optimization recommendations for marketing clients.

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.

Leads analytics teams delivering digital media measurement, testing strategies, campaign analysis, dashboards, and actionable insights for client accounts. Develops cross-channel measurement frameworks, evaluates marketing performance against KPIs and ROI, communicates findings to clients and stakeholders, and recommends investment and strategy optimizations. The role also develops analytics talent and ensures analytics integration across agency production processes.