Top Remote Data & Analytics Jobs in Atlanta, GA

Lead ownership of client billing data and infrastructure for Finance: run reconciliations, investigate billing issues, build BI dashboards, automate workflows with SQL/Snowflake, monitor revenue leakage, and support Billing 2.0 UAT while training Finance on reporting and Looker standards.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Build and maintain production-grade data models while migrating workflows from Alteryx to dbt. Manage Redshift pipelines through Dagster or Airflow, create Tableau dashboards, and translate technical data into business insights for Revenue Operations. Explore AI, LLM, predictive analytics, and machine learning applications such as churn prediction and lead scoring using Amazon SageMaker. Collaborate with Sales, Marketing, Customer Experience, Product, and Engineering stakeholders on KPIs, account-based marketing, and customer health scoring.

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.

Analyzes and converts customer, account, and financial data into the Finxact core banking system. Performs data mapping, testing, mock conversion validation, and user acceptance guidance while documenting requirements and collaborating with clients on business needs and integration outcomes.

Designs and maintains production data pipelines, models claims and operational data, and improves reliability through testing, monitoring, and alerting. Owns workflow troubleshooting, backfills, performance optimization, documentation, access controls, and CI/CD practices. Partners with business and technical teams to define requirements and deliver trusted datasets using SQL, Python, cloud data warehouses, and orchestration tools.

Leads data and analytics engineering across cross-functional teams, translating business needs into technical solutions, managing data models and context layers, and ensuring data quality, governance, and accessibility. Establishes innovation environments, develops training and cross-skilling programs, mentors data professionals, supports self-service analytics and AI capabilities, and drives continuous improvement, technical reviews, and strategic data initiatives.

Maintains and analyzes customer, item, and coding data using Oracle systems. Organizes, validates, and prepares electronic data updates; investigates data issues, develops corrective solutions, assesses business impacts, and processes reports. Collaborates cross-functionally to support customer master and national coding initiatives, project planning, and execution while ensuring data integrity and customer-focused outcomes.

Analyzes and maintains customer, item, and configuration master data using Oracle and Microsoft tools. Organizes and validates files for electronic updates, investigates data and process issues, evaluates business impacts, prepares reports, and supports cross-functional projects. Collaborates with business teams to ensure data integrity, accurate national coding, efficient processes, and customer-focused solutions.

Own an analytics project for go-to-market teams by combining CRM, campaign, and account data with SQL and Python. Build reusable data models, define acquisition and pipeline metrics, investigate data quality issues, add validation checks, and create dashboards and analyses. Communicate findings, recommendations, assumptions, and limitations to stakeholders while documenting reproducible workflows.