Top Tech Jobs & Startup Jobs in Bengaluru, KA
As a Senior Data Analyst at JLL Technologies, you will be responsible for analyzing and interpreting data related to property management processes, sales, financial information, and market trends to support decision-making within the organization. You will collaborate with cross-functional teams to develop data-driven solutions and provide actionable insights.
Develop, execute, and monitor complex insights and analytical solutions to marketing problems. Prepare and present findings to stakeholders, drive understanding for marketing performance, and optimize existing processes. Mentor and support less experienced analysts in improving accuracy and efficiency.
The Data Engineer 1 position at JLL involves developing, executing, and monitoring complex data management processes for ad hoc data and information delivery. The role requires strong SQL skills and knowledge of various data science tools. The individual will work on data architecture, data integration, data warehousing, and business intelligence in a global environment.
The Specialist Business Intelligence Analyst at JLL will develop innovative analytical solutions to maximize compliance, increase productivity, minimize costs, and maximize profit. They will be responsible for translating business requirements into insightful dashboards and analysis while mentoring other analysts within the team. The role involves embracing new technology and leading the development of analytical solutions for complex business initiatives.
Data Engineer role at JLL Technologies focusing on Informatica MDM expertise, data management, MDM implementation, data modeling, integration skills, data profiling, technical skills, troubleshooting, documentation, and communication. Requires 3-6 years of experience.
JLL Technologies is seeking a Senior Data Engineer to design and develop strategic data solutions for Commercial Real Estate using the latest technologies. Responsibilities include developing data pipelines, analyzing diverse datasets, and enhancing data processing capabilities. Requires 6+ years of experience and a bachelor's degree in Information Science, Computer Science, Mathematics, Statistics, or a quantitative discipline.
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