Top Remote Analytics Jobs

Seaport Research Partners seeks a Senior Equity Analyst with at least 7 years of experience in equity research. The role involves generating differentiated research, maintaining strong buy-side client relationships, and providing management access opportunities. Candidates should possess excellent communication skills and an entrepreneurial mindset, with MBAs and/or CFA preferred.

The Senior Data Analyst will develop and maintain analytical models and dashboards, prepare reports for leadership, translate data into visual formats, ensure data accuracy, track performance metrics, and mentor team members while collaborating across departments to improve data processes and analytics capabilities.

This job requires managing and implementing data-driven SEO, SEM, and PPC programs, including campaign management and optimization, analytics management, and collaboration with web developers and marketing teams. The role also involves writing and communicating effectively, analyzing data, and making recommendations for marketing strategies.

The Senior Process Analyst will design and deliver transformation and continuous improvement roadmaps, focusing on optimizing global processes in finance planning and analysis. Responsibilities include facilitating workshops, performing gap analyses, documenting processes using BPMN, and driving adoption of transformations through effective stakeholder engagement.

As an Analytics Engineer at Beam, you will collaborate with various teams to enhance data usability and reliability, develop and maintain the data warehouse, and implement software engineering best practices in analytics processes.

The Data Analyst will work remotely to interpret and develop data project requirements, utilizing tools like Python, Excel, and SQL for data cleansing, analysis, and interpreting complex data issues. The role requires effective communication with both technical and non-technical clients and self-management in a fast-paced environment.

Develop predictive models and machine learning algorithms to optimize financial processes. Conduct exploratory data analysis to identify patterns, collaborate with teams to design analytical solutions, and build the Data Analytics function as the company expands.