Top Entry Level Data & Analytics Jobs in Atlanta, GA

Build, deploy, monitor, and support data pipelines for connected devices, web applications, and mobile applications. Collaborate with internal customers, AWS Cloud Architects, and agile teams to develop scalable serverless data solutions using Python, SQL, Snowflake, Databricks, and AWS technologies. The role includes full lifecycle pipeline management, production support, technology evaluation, and participation in data product development under the supervision of a Senior Data Engineer.

Analyzes customer, marketing, sales, operational, and market data to identify trends and opportunities. Responsibilities include preparing and transforming datasets, building dashboards and reports, conducting segmentation and campaign analyses, supporting forecasting and testing, validating data, documenting methodologies, and communicating actionable insights to cross-functional stakeholders.

Analyzes business and customer requirements to define metrics, measurement frameworks, and scalable Tableau dashboards. Partners with stakeholders across life sciences, healthcare, and sales organizations to deliver consistent, data-driven insights. Documents BI standards, ensures metric accuracy and security compliance, demonstrates expertise in relevant data sources, and manages dashboard requests through a Jira backlog while meeting delivery timelines.

Onboard and maintain global hospitality data for Business Intelligence solutions. Coordinate integrations with hotel technology providers, validate reservation and occupancy data, manage mappings and historical loads, troubleshoot discrepancies using SQL and Unix/Linux tools, and improve data governance and quality controls. The role serves as a liaison among customers, partners, and internal teams while driving onboarding projects through validation, approval, and production activation.

Organizes and analyzes construction and distribution data, improves data quality and workflows, supports standardized data structures and reporting, and identifies opportunities to automate manual processes. The role collaborates with cross-functional teams to implement practical digital solutions, develop dashboards, improve data accessibility, and support operational decision-making.

Conduct GIS requests for the Atlanta office, consult with brokers, and produce maps, demographic analyses, reports, web applications, dashboards, and StoryMaps. The role requires ArcGIS-based spatial analysis, trade-area and drive-time analysis, data preparation, and visual storytelling for technical and non-technical audiences. The analyst will also monitor Georgia retail trends, manage workloads independently, and use AI tools such as Claude in daily work.

Designs and implements scalable software components, data pipelines, analytical solutions, testing frameworks, and AI-enabled capabilities for Global Risk Management. The role analyzes financial data, applies quantitative risk methods, supports regulatory requirements, automates processes, and collaborates with modelers, risk managers, process owners, and technology teams. Responsibilities include data sourcing and validation, software development, risk assessment, AI governance, monitoring, and continuous improvement of analytical tools.

Supports business partners by documenting processes, gathering requirements, evaluating data quality, analyzing integrations and data mappings, executing test scripts, resolving issues, tracking vendor deliverables, and providing progress updates. The role also prepares meeting minutes and maintains issue logs while contributing to insurance and data-reporting initiatives.

Leads the enterprise ontology for insurance coverage, exposure, underwriting, claims, and loss data. Defines business concepts, schemas, classifications, mappings, lineage, governance standards, and data quality rules. Integrates internal, carrier, IVANS, catastrophe, geospatial, and other third-party data. Partners with underwriting, claims, analytics, technology, governance, product, and regulatory teams to enable trusted reporting, AI, predictive modeling, and operational workflows while maintaining alignment with ACORD and industry requirements.

Analyzes customer account data, SLA performance, service metrics, and escalations across delivery hubs. Builds Excel dashboards, pivot tables, scorecards, trackers, and leadership reporting materials. Partners with Operations to validate data, identify root causes, detect risk patterns, and support issue resolution. Maintains data integrity and governance while contributing to reporting standardization and process improvements.