Top Entry Level Data & Analytics Jobs in Atlanta, GA

Supports the design, validation, and delivery of data and AI solutions. Responsibilities include gathering requirements, exploring and reconciling complex datasets with SQL and Python, testing data pipelines and semantic models, investigating data quality issues, documenting data lineage, developing Power BI dashboards, and contributing to AI data agents using Microsoft Foundry and Fabric.

Designs, develops, tests, and implements scalable software, data pipelines, analytical tools, and AI-enabled solutions for Global Risk Management. Applies quantitative methods to financial data, risk modeling, testing, regulatory requirements, and process automation. Collaborates with modelers, risk managers, process owners, data owners, and technology teams to assess processes, identify risks, and deliver governed, auditable, and continuously improved analytical capabilities.

Analyzes and corrects claims data errors, investigates root causes, evaluates business impact, and recommends long-term data quality improvements. The role manages claims corrections using business rules, resolves exceptions across systems, collaborates with claims administrators, programmers, vendors, and business teams, and produces ad hoc reports. Strong SQL skills and insurance claims knowledge are required; Snowflake experience is preferred.

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.

Conduct pricing and business data analysis, build statistical and machine learning models, run analytical experiments, and identify trends in complex datasets. Partner with IT, management, data scientists, and third-party pricing software firms to implement solutions. Clean and interpret data, create reports and visualizations, present insights, support pricing decisions, and train others on analytical techniques.

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.

A one-year data engineering development program involving training, mentoring, and hands-on work designing, developing, testing, and delivering data assets and applications. Participants refine features, plan user stories, build data pipelines, apply SQL and data fundamentals, use AI and analytical tools, and collaborate with business and engineering teams. Occasional travel for business meetings and events is expected.

Develops and optimizes distributed genomic data pipelines using Hadoop, Spark, Hive, Impala, SQL, and ETL workflows. Integrates genomic, laboratory, epidemiological, and public health datasets from external repositories, ensuring data quality, governance, security, and reproducibility. Collaborates with bioinformaticians, epidemiologists, and laboratory scientists to support pathogen genomics, outbreak detection, surveillance, and situational awareness. Maintains version-controlled pipelines, documentation, data lineage, reports, and scientific communications. This is an on-site role in Atlanta with weekly team meetings.

Freelance Data Visualization Designer responsible for transforming complex datasets into polished, compelling visual narratives. The role involves uncovering insights, designing charts and visual systems, collaborating with strategists and writers, iterating on concepts, and presenting visualization rationale directly to clients. The engagement runs through October 9, 2026, at 40 hours per week, with Atlanta preferred and occasional travel required for key meetings.