Top Tech Jobs & Startup Jobs

The MIS Reporting job involves advanced data analysis using Excel, maintenance and creation of reports, ensuring data integrity, collaboration with HR in reporting metrics, and continuous process improvement.

The Azure Data Engineer will work on system integration, application development, and data warehouse projects. Responsibilities include software development using Object-oriented languages, database programming with SQL, and expertise in Microsoft Azure components. The role involves facilitating analytics using cloud technology and collaborating with global teams to architect advanced cloud-based solutions.

The Senior Data Scientist will develop hypotheses, execute experimental methods, and derive actionable insights from data. Responsibilities include providing recommendations based on various data types, collaborating with eCommerce and Digital Marketing leaders, and ensuring reporting solutions meet business needs. This role requires expertise in statistical methods and predictive modeling to drive strategic decisions.

As an Azure Data Engineer, you will innovate and maintain technology services for Fortune clients. Responsibilities include software development, team management, and engaging in all phases of SDLC to deliver complex technology projects while utilizing Microsoft Azure components and various programming and database technologies.

As a Senior Fullstack Engineer, you'll architect and maintain backend and frontend systems for Data to Decision projects, collaborate with data science teams on integrating APIs, guide junior engineers, and participate in UAT to diagnose issues, while ensuring project success and client communication.

As a Site Reliability Engineer, you'll ensure high system availability and performance by monitoring, troubleshooting, automating solutions, and collaborating on resilient architecture. Your role will involve addressing complex issues and improving deployment processes, contributing to a highly available platform for Fractal's clients.

Lead analytical projects to help clients address business challenges by providing insights into marketing performance and digital analytics. Collaborate with diverse stakeholders, manage multiple projects, and deliver actionable recommendations based on data analysis.