Top Remote Data & Analytics Jobs in Atlanta, GA

The BI Manager leads data analytics initiatives, manages client relationships, develops dashboards, and supports data governance efforts within the Business Intelligence Solutions team.

The Social Media Insight Analyst role involves analyzing social media data to craft compelling narratives and insights for regulated industries like pharma and healthcare. Responsibilities include data collection, report creation, quality control, and teamwork to enhance client brand performance through actionable insights.

The Quant Analytics Lead Associate develops and validates predictive models using statistics and machine learning techniques, conducts quantitative analyses, and communicates insights to stakeholders.

The Senior Quantitative Analytics Associate leverages statistical and mathematical techniques to validate models and provide predictive analysis for business needs, mentoring junior staff and delivering insights based on data analysis.

The Associate Director, Finance Data Management oversees data lifecycle management, supports finance strategy, and implements government policies within the finance organization.

The Actuary analyzes and forecasts financial data to support strategic decisions, ensuring data integrity, and serves as a subject matter expert on ESRD population for Medicare Advantage plans.

The Actuarial Analyst 2 analyzes financial and economic data to support strategic decisions. Responsibilities include data integrity, collaboration with stakeholders, and tool improvement.

The P&C Senior Actuarial Assistant manages insurance pricing projects, performs complex analyses, and collaborates with business partners to guide pricing and product strategies.

The P&C Actuarial Assistant executes pricing projects, performs analyses using actuarial methods, communicates results, and contributes to strategy development in insurance pricing.

This entry-level role executes projects supporting pricing insurance business using actuarial and statistical methods, with coaching from management. Responsibilities include data quality review, business data analysis, and communicating results.

This role involves migrating and implementing EBRs using Rockwell Pharmasuite, ensuring compliance with documentation and testing practices in pharmaceutical manufacturing.

The Director, IDS and Data Partnerships will oversee data partnerships at Novartis, ensuring compliance, monitoring quality, and promoting effective data usage across the organization.

The Associate Director will oversee data partnerships at Novartis, ensuring compliance, quality, and effective use of data assets while collaborating with teams and vendors.

The role involves leading meteorological research for catastrophe models, applying hybrid modeling approaches, analyzing weather data, and collaborating on risk analytics solutions.

The role involves developing predictive models for catastrophe risk using advanced analytics, machine learning, and statistical techniques. Responsibilities include analyzing large datasets and collaborating on financial risk modeling to enhance accuracy. The individual will document processes and ensure consistent modeling methodologies are upheld.

The role involves data collection, validation, and modeling for catastrophe risk management, requiring SQL, Python, and analytical techniques to support financial decision-making at Nationwide.

As a Business Intelligence Analyst at ProcureAbility, you will analyze business problems, develop solutions, and provide data-driven insights using advanced analytics and BI tools.

As a Business Intelligence Analyst, you will execute data analytics initiatives, develop BI solutions, and provide insights for decision-making through effective collaboration with teams.

As a Sr. BI Analyst, you will execute data analysis initiatives, develop BI solutions, and provide insights to clients, driving optimization in procurement operations.

The role involves leading RWD strategy initiatives, ensuring compliance, managing contracts, and collaborating with stakeholders for data access and effective use of RWD.