Top Entry Level Data & Analytics Jobs in Atlanta, GA

Migrates customer data from legacy and competitor systems into SaaS products using SQL-based tools. Performs extraction, transformation, cleanup, validation, auditing, data mapping, and quality assurance. Develops repeatable scripts and workflows, collaborates with customers and cross-functional teams, supports testing and defect resolution, and documents migration processes. The role increasingly uses BigQuery, cloud platforms, automation, and intelligent tools while supporting global delivery across regions and time zones.

Supports the development and maintenance of SQL and Python data pipelines, data models, semantic layers, dashboards, and reports. Performs data wrangling and preprocessing, collaborates with cross-functional teams to translate business needs into data solutions, and applies data governance, security, and quality practices. The role provides hands-on data analytics engineering experience supporting business analytics and AI initiatives.

Lead technical strategy for commercial data governance, data risk management, and reliability of data-driven workloads. Provide architecture, design, development, and testing leadership while mentoring engineers and driving technical decisions. Partner with stakeholders to scale governance practices, improve delivery processes, and build trusted data solutions using cloud platforms, Spark, Python, SQL, and data-lakehouse architectures.

Designs, develops, and optimizes high-availability relational databases supporting high-volume logistics services. Responsibilities include schema and database object architecture, SQL and T-SQL development, stored procedure implementation, performance tuning, scalability improvements, code reviews, prototyping, and end-to-end feature delivery. The role collaborates with engineering and infrastructure teams and may support database administration, cloud migrations, and modern data platforms.

Owns the full lifecycle of institutional client reporting, including investment-data validation, reporting pipeline development, performance attribution, reconciliation, client deliverable production, and workflow automation. The role uses Python, SQL, and AI-assisted tools to improve accuracy, scalability, and efficiency while partnering with investment, technology, product, and compliance teams.

Investigate difficult public and municipal data sources, reconstruct and validate datasets, design data models, and build production systems for acquiring and refreshing data. The role partners with operations and state expansion teams, prototypes solutions, reviews TypeScript, uses PostgreSQL and spatial data, and owns reliable production implementations supporting affordable housing site selection.

Research and verify mental health service directory records, including addresses, hours, contacts, costs, insurance, and eligibility tags. Apply screening criteria, cite supporting evidence, identify new local services, and flag records that do not fit the data model. The role requires careful spreadsheet organization, adherence to written procedures, accurate source checking, and clear communication with service organizations.

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.