Top Tech Jobs & Startup Jobs

The role involves researching and analyzing technology stocks, especially in the software sector, and publishing in-depth reports. Responsibilities include valuating companies, developing industry insights, and regularly publishing detailed financial analyses. Strong communication skills and the ability to work under deadlines are essential.

The Lead Full Stack Engineer will design, develop, and maintain software for Morningstar Indexes, focusing on both frontend and backend technologies. Responsibilities include improving development practices, guiding Agile teams, implementing software solutions, and ensuring adherence to design standards. This role involves hands-on development and mentoring of less senior developers.

The Executive Assistant will support two executives by managing their schedules, coordinating meetings, arranging travel, handling financial expense reports, and improving processes. This role requires strong organization, communication skills, and the ability to work independently in a fast-paced environment.

The Principal Analytics Architect will lead the Tableau function and data strategy for the Marketing Intelligence Team at Morningstar. Responsibilities include developing analytics reporting suites, collaborating with cross-functional teams, building cloud data environments, mentoring junior analysts, and optimizing Tableau dashboards to drive marketing effectiveness.

The People and Culture MDP Associate at Morningstar will support HR processes, serve as a front-line resource for employee inquiries, and collaborate on various projects. The role includes rotation through different HR functional areas to gain diverse experience over a two-year program.

The Associate Product Manager will work with cross-functional teams to define requirements and manage roadmaps for the Data Access Services team, acting as product owner, gathering business requirements, and ensuring successful product launches while adhering to timelines and budget.

Morningstar is seeking a Data Scientist to implement Artificial Intelligence in data collections software applications. Responsibilities include automating manual data collection processes, collaborating with data analysts, designing ML/AI solutions, and researching new technologies. The role requires a Ph.D. in engineering, computer science, or statistics, or 2+ years of industrial experience in data science with NLP tasks.