Top Data & Analytics Jobs in Atlanta, GA

Supports data analysis projects in PwC’s Advisory practice, researching datasets, identifying patterns, integrating data, and creating dashboards and visualizations with Alteryx and Power BI. Assists with algorithm development, analytics automation, and data-driven insights for clients. The internship emphasizes learning PwC methodologies, collaborating with experienced professionals, and gaining exposure to AI, cloud platform design, and data architecture.

Supports client-facing diligence analytics projects by gathering, integrating, and analyzing data; developing data-driven insights; creating dashboards and reports; conducting research and data mining; contributing to algorithm development; and preparing presentations. The intern uses Alteryx and Power BI, collaborates with advisory teams, and gains exposure to cloud platforms, data architecture, data science, and AI applications.

Supports data analysis and analytics projects through research, data gathering, dashboard creation, data integration, data mining, algorithm development, and data validation. Uses Alteryx and Power BI to automate workflows and report metrics while contributing to client-focused insights. The intern will learn PwC methodologies, collaborate with experienced professionals, and develop skills in data visualization, cloud platforms, data architecture, and artificial intelligence.

Leads the design, development, and maintenance of enterprise data systems supporting manufacturing data, analytics, reporting, and AI. Oversees scalable cloud-based solutions, data pipelines, infrastructure, modeling, formats, and frameworks. Partners with stakeholders to align data capabilities with business needs and manages a high-performing data engineering team through coaching, performance management, and organizational development.

Support client onboarding to the Aladdin platform by configuring reference data and analytics workflows, gathering requirements, managing data workstreams, reconciling large datasets, validating production inputs and outputs, and resolving data issues. The role involves client communication, training, documentation, cross-functional collaboration, and process transformation using Excel, Python, SQL, and AI-assisted tools.

Own and maintain complex datasets, data processes, and client-facing dashboards. Partner with account, strategy, operations, and product teams to deliver data products, identify analytics opportunities, and improve business intelligence capabilities. Lead cross-functional project engagements, developing team processes and client deliverables while translating client requirements into effective data solutions.

Design, build, test, and maintain scalable, secure data pipelines and architectures. Update data models, advise on/configure tools, validate controls, use SQL/NoSQL, and apply enterprise AI capabilities to accelerate and validate data engineering workflows while ensuring traceability and data sensitivity handling.

Designs and supports large-scale cloud-native data platforms on AWS and Databricks. Builds batch, streaming, and real-time pipelines; engineers distributed processing with Spark; develops Lakehouse architectures using Delta Lake and Iceberg; modernizes Hadoop workloads; and implements automation, governance, security, observability, performance optimization, and cost management. Partners with architects, product managers, data scientists, and engineers to enable analytics, machine learning, and AI at petabyte scale.

Leads enterprise data governance strategy, data quality standards, stewardship models, policies, metadata, lineage, classification, access controls, and lifecycle management. Partners with business and technical teams to resolve data quality issues, implement governance platforms, monitor KPIs, communicate risks, and maintain compliance with regulations such as HIPAA and GDPR.

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.

Analyze processes and operational data, gather and document business requirements, validate data, monitor KPIs, prepare reports and dashboards, recommend improvements, and support cross-functional implementation and project tracking.

Design, build, and maintain a Microsoft Fabric Lakehouse and Azure Synapse data warehouse. Develop and optimize ETL/ELT pipelines, dimensional/semantic models, and data quality checks. Tune SQL and Spark workloads, implement monitoring/alerting, handle production incidents, and integrate source systems and APIs. Partner with stakeholders, follow Agile practices, document runbooks, and participate in code reviews.