Top Remote Data & Analytics Jobs in Jacksonville, FL

The role involves architecting data solutions, building data products in Snowflake, establishing data standards, and enabling self-service data access while ensuring data quality and compliance.

Analyze large financial datasets, extract insights, and support client reporting. Collaborate with engineering on product solutions in structured finance.

Lead legacy-to-SaaS data migrations: design and execute ETL, extract/transform/load data, validate integrity, map business workflows to target models, engage clients, document processes, support governance, and train stakeholders to ensure accurate, secure conversions.

The Pension Actuary supports actuarial analysis, develops reports, evaluates programs, manages projects, and facilitates client discussions while interpreting regulations.

The Database Administrator will manage Oracle Banner ERPs, supporting installations, upgrades, and configurations while ensuring database security and performance.

The Business Intelligence Senior Consultant develops BI strategies, implements solutions using Ellucian tools, and supports higher education clients with technical and functional consulting.

The HR Data Analyst will lead data transformation to SuccessFactors, develop reports, ensure data quality, and train users on data tools.

The role involves developing and maintaining Business Intelligence solutions, translating business needs into technical specifications, and supporting data analytics platforms using SQL and Python, among others.

The Business Systems Analyst will analyze business requirements, document processes, and develop scalable solutions for Salesforce to enhance sales operations.

The Senior Manager, Consumer Insights will advise a client in the confections industry, translating complex data into actionable insights, partnering with internal teams, and guiding client relationships to maximize Circana's data use.

Analyze complex people data to identify trends and risks, leveraging automation for improved efficiency. Collaborate on people strategies and initiatives, providing actionable insights through data analysis.

The Data Engineer will build and maintain data pipelines, ensuring high-quality and scalable data systems while working on analytics and machine learning accessibility.

The Data Analyst will elevate decision-making through data insights, manage datasets, design dashboards, and lead cross-functional projects to optimize operational performance within the Fintech sector.

Lead risk modeling initiatives from data exploration to deployment, defining methodologies, advising clients, and integrating models into platforms.