Top Tech Jobs & Startup Jobs

Technical Business Systems Analysts translate business objectives into functional and technical requirements, support solution design, analyze data, document integrations, and guide delivery across the software lifecycle. Responsibilities include requirements elicitation, data mapping, process and gap analysis, Agile backlog development, testing and UAT coordination, risk identification, and stakeholder communication. The role requires regular onsite client visits in a hybrid consulting environment.

Technical Business Systems Analysts translate business objectives into functional and technical requirements, support solution design, analyze data, document integrations and system workflows, and guide initiatives through discovery, development, testing, and deployment. They collaborate with business stakeholders, architects, engineers, and product teams on enterprise applications, modernization, integrations, Agile delivery, data mapping, user stories, acceptance criteria, and UAT. The role requires client-facing consulting skills and regular onsite work based on engagement needs.

Analyze business processes, data, and systems; gather requirements; define data governance and quality practices; design data models and databases; perform statistical analysis; build reports and visualizations; and communicate insights to technical and business stakeholders. Collaborate with data engineers, architects, scientists, and product owners to deliver client solutions.

Lead Dynamics 365 and Power Platform implementations by developing roadmaps, analyzing business processes, configuring CRM and ERP modules, and supporting integrations. Deploy Customer Service, HR, and Finance functionality, including omnichannel and self-service capabilities. Lead cross-functional collaboration, provide user training and ongoing support, and drive continuous system improvements. The role requires extensive Dynamics 365 and Power Platform experience, hands-on Java, Python, or .NET development, project leadership, and strong client communication skills.

Analyze business and technology challenges, elicit and document requirements, support solution design, model data and integrations, perform gap analysis, write Agile user stories, and coordinate integration testing and UAT. The role bridges business and technical stakeholders throughout the delivery lifecycle, primarily in a fully onsite client-facing consulting environment.

The Lead Machine Learning Engineer will design and implement data-driven solutions, provide technical leadership, and deploy machine learning systems for clients.

Lead Machine Learning Engineer at CapTech will design data-driven solutions, implement machine learning systems, and provide technical leadership. Responsibilities include collaborating with clients and teams, analyzing large datasets, and managing ML practices.

The Lead Machine Learning/Data Science Engineer at CapTech designs and deploys machine learning solutions, providing technical leadership and collaborating with teams to meet client needs using large datasets and cloud platforms.

The Machine Learning Engineer designs and implements scalable machine learning solutions for clients, analyzing data and optimizing systems, while collaborating with teams and clients.

The Machine Learning Engineer designs and implements data-driven solutions, builds scalable ML systems, and collaborates with clients to meet business needs.