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As a Partnerships Manager, you will manage and grow relationships with key business partners, drive revenue through partner ecosystems, enable partners for success, identify new opportunities, and monitor performance through regular reporting. You will collaborate with teams to align business objectives and create strategies that enhance partner and customer success.

The Senior CSM/Financial Analyst will facilitate onboarding of new clients, guide them in using the Sesame platform, analyze investment product performance, identify technical issues, and communicate improvements based on client feedback. This role requires strong technical analysis skills and a consultative approach to enhance client satisfaction and engagement.

As a Sales Executive at Landytech, you will sell the Sesame software platform and professional services to businesses, manage the 360 sales cycle, identify new sales opportunities, and execute against yearly sales goals while maintaining CRM accuracy.

The Investment Analytics & Reporting Manager collaborates with clients to understand their investment reporting needs and delivers tailored analytics solutions. Responsibilities include leading a team, consulting with clients, developing reporting solutions, and advising on investment products within the Sesame platform to enhance client satisfaction and operational capabilities.

As an ETL Developer at Landytech, you will implement ETL processes primarily using Azure Data Factory, ensuring data quality and integrity. You will engage in code reviews, participate in team meetings focused on priorities, and oversee the training and support of new team members. Collaboration with various client teams to handle complex datasets is also a key aspect of your role.

As a Product Specialist, you'll assist clients in effective product adoption, tailor solutions to their needs, and empower internal teams through training on product features. You'll act as a subject matter expert, facilitating the integration of industry workflows with product offerings and collaborating in feature development.

The Data Analyst - Implementation will focus on onboarding client portfolio data and ensuring data consistency, while transforming data for integration into the reporting platform. Key responsibilities include managing project deliverables, providing updates to clients, and collaborating with the implementation and product teams.