Top Data Analyst Jobs in Atlanta

The Staff Data Analyst partners with teams across Marketing, Sales, and Customer Success to optimize resource deployment, analyze performance, and drive actionable insights supporting revenue goals.

As a Data Analyst, you will develop production-grade data models, manage business metrics, and ensure data quality and usability across teams.

The Lead Insurance Data Analyst will analyze data in healthcare, focusing on insurance billing processes, consolidate data from multiple sources, and provide actionable insights for department improvements.

The Senior Data Analyst collaborates with People teams to transform HR data into insights, conducts analyses, and builds dashboards to improve workforce effectiveness.

Partner with Product leadership to build scalable Snowflake data models, run behavioral and funnel analyses, design A/B tests and predictive models, and translate insights to influence roadmap and product strategy.

Analyze billing performance, build and maintain data pipelines, run A/B tests, apply statistical forecasting and scenario modeling, collaborate with cross-functional teams, and provide recommendations to reduce risk, disputes, churn, and operational inefficiencies.

The Senior Product Data Analyst will analyze SaaS product usage, develop metrics, manage projects, and provide insights that support strategic decisions across teams.

Optimize publisher monetization by analyzing bidstream and auction data, building monitoring/alerting systems, running A/B tests, performing root-cause analyses, and producing actionable insights for cross-functional teams to maximize yield and revenue.

The Data Analyst will perform advanced data modeling and analysis, manage data collection systems, and communicate findings to stakeholders, driving data-informed business decisions.

Lead analytics work translating complex healthcare data into decision-ready insights. Own KPI definitions, Snowflake data marts with dbt, executive dashboards in QuickSight, and cross-functional analyses to inform strategy, product, and operations.

Analyze on-chain trading activity and market/DEX/CEX data at scale, build models for portfolio/PnL and capital efficiency, design AI-driven research pipelines, produce insights to inform product and capital strategy, and collaborate with product and engineering teams.

Design and execute advanced analytics and statistical models to support revenue cycle surveillance and risk monitoring. Extract, validate, reconcile, and integrate MHS GENESIS and enterprise repository data. Develop and optimize SQL/Vertica queries, CCL/Discern extracts, dashboards (Power BI, Tableau, SAP BO), and analytic deliverables. Support backend diagnostics, incident/change management, remediation analysis, and stakeholder briefings while ensuring HIPAA and federal data governance compliance.

The Data Analyst role involves collecting, analyzing, and interpreting program data to support decisions and reporting, while ensuring data accuracy and security. Responsibilities include developing dashboards, identifying trends, and collaborating with teams.

The Payor Data Analyst manages client data, ensures data quality, runs reports, and collaborates with teams to improve data fidelity.

As a Data Engineering Analyst, you will design and develop cloud-native data solutions, collaborate with teams, and contribute to AI models and analytics.

The Analyst will support payer data management by analyzing data, maintaining reports, coordinating with field teams, and ensuring accurate data hygiene for sales campaigns.

Analyze marketing and product data, build dashboards and visual reports, develop forecasting and predictive models, automate reporting pipelines, document data assets, and present actionable insights to product, marketing, engineering, and finance stakeholders in fintech and crypto transaction environments.

The Data Quality Analyst will conduct data profiling, identify issues, and ensure data integrity within a development team, collaborating closely to prevent data-related delays and improve outcomes.

As a Senior Data Analyst II, you will support growth initiatives by analyzing revenue metrics, automating workflows, and providing insights to drive customer success.

As a Financial Data Analyst, you will support data-driven insights, financial reporting, and contract management, developing dashboards and analyzing large datasets.

The Senior Data Analyst will analyze financial data, support budgeting and forecasting, build financial dashboards, and prepare reports for the CFO.

The Senior Analyst in Data Science Analytics develops data-driven solutions for business challenges, applying analytics to extract insights and enhance processes, while managing multiple projects and presenting findings to stakeholders.

The Data Analyst will analyze healthcare data, develop reports and visualizations, and support analytics operations for pricing decisions.

The Senior Marketing Data Analyst will analyze marketing data to understand trends, provide strategic insights, maintain data integrity, lead AI-driven analytics, and partner with marketing teams for improved performance.

The Data Governance Analyst at Regions ensures data quality, manages issues, and acts as a liaison between data owners and consumers, implementing data management standards.