Top Remote Data & Analytics Jobs in Palm Bay-Melbourne-Titusville,

The RevOps Analyst will analyze revenue data, manage key initiatives for Sales funnel processes, optimize operations, and conduct ad-hoc analysis to drive strategic decision-making. Key responsibilities include data analytics, process automation, and working closely with Sales leadership to improve operational efficiencies.

As a Senior Data Engineer/Scientist, you will design and maintain data pipelines, build and transform data structures, and collaborate with data scientists and analysts to create quality analytics for People Analytics at Samsara. You’ll work with both structured and unstructured data, leveraging tools like SQL and Python, while integrating external datasets, and implementing AI tools into data workflows.

The Data Steward at OpenX will ensure data accuracy and governance within Salesforce, integrating with various platforms. Responsibilities include improving data models, reporting accuracy, and managing automation for efficient decision-making, while collaborating with various teams for data-driven insights and compliance with data regulations.

As a Senior Analyst on the Auto Analytics team, you will drive analytics, reporting, and pricing strategies to support the growth of Auto products. This role involves cross-functional collaboration, evaluating revenue and cost impacts, credit analysis, and maintaining SQL and Python-based data models for analytics.

As a Sr. Business Analyst, you will drive growth initiatives by collaborating across departments, developing end-to-end growth strategies, maintaining OKRs and KPIs, and enhancing user experience. You will communicate insights to executive teams and ensure that technology strategies align with business needs.

The Staff Data Engineer will design and implement scalable streaming data pipelines, manage existing data systems, promote best practices in data management, collaborate with teams, ensure data quality and security, and evaluate new data technologies to support business decisions.

As a Senior Analytics Engineer, you will develop analytical data products, collaborate with cross-functional teams to define data needs, and maintain high data quality and governance. You'll be responsible for creating scalable data models and ensuring the successful delivery and usability of analytical solutions across the organization.