MSIGHTS
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Client Engagement Associate responsible for providing support, training, and daily operations for clients using the MSIGHTS Platform. Must have strong communication skills, be detail-oriented, and have a Bachelor's degree.
The Platform Operations Engineer is responsible for the daily operations of data collection and integration processes. Key tasks include designing new data consumption channels, monitoring query performance, improving operational tasks, and maintaining servers, all while adhering to Agile and Scrum methodologies.
The Technology Operations resource supports operation processes, working with tech teams on client projects and product features. Responsibilities include developing data access tools, performing data QA, and managing project communication. The role requires initiative and quick learning to master data integration workflows in the MSIGHTS platform.
Develop B2B content that drives traffic, engages prospects, and improves shared content across social media channels.
The Platform Implementation Analyst at MSIGHTS will work with clients to ensure the MSIGHTS Platform is optimally configured to meet their needs. Responsibilities include supporting platform users, performing data integrity analysis, providing training, maintaining documentation, and improving processes based on client feedback.
The Database Engineer is responsible for the ETL process to import and normalize data for reporting within the MSIGHTS Platform. They implement solutions across various database engines, improve query performance, and adhere to coding standards, utilizing Agile methodologies.
The Software Engineer will develop and maintain MSIGHTS products using modern web technologies. Responsibilities include documentation, coding standards adherence, and delivering high-quality applications using Agile and Scrum methodologies. The role demands innovation, initiative, and collaboration within a team to enhance the platform.
The Data Monitoring Engineer will monitor daily data operations, perform QA on data intake, and address issues related to data inconsistencies. The role requires proactive communication and documentation of findings while working with various data channels. A strong emphasis is placed on innovative thinking and continuous process improvement.