Top Entry Level Data & Analytics Jobs in Atlanta, GA

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.

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.

Build and maintain reliable data ingestion, transformation, and modeling pipelines using Python, Dagster or Airflow, dbt, Snowflake, Airbyte, and AWS. Responsibilities include API and PostgreSQL extracts, Parquet and Snowflake loads, production monitoring, troubleshooting, backfills, incremental modeling, code reviews, Terraform updates, documentation, and runbooks. Partner with analytics and product teams on dimensional modeling, data quality, and pipeline reliability.

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.

The Analyst role involves providing analytical support for commercial real estate loans, reviewing financial statements, conducting market research, and producing reports. Requires strong communication and Excel skills.

Responsible for collecting and transmitting data using a hand-held scanning device, including counting inventories and inputting price information.