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JLL Technologies Hiring Drive 2024: JLL Technologies Hiring Drive 2024 for its Data Scientist 1. JLL Technologies Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree in Math, Statistics, Engineering, Computer science, or Other quantitative fields. if you are interested, please apply as soon as possible.
Company Name: JLL Technologies
Role: Data Scientist 1
Location: Bengaluru
Experience: 1-4 years
Qualification: Bachelors degree in Math, Statistics, Engineering, Computer science, Other quantitative fields
Batch: Any
Job Type: Full Time
Salary: 18.0 LPA (Expected)
JLL Technologies Hiring Drive 2024
Job Description:
- JLL Technologies Enterprise Analytics is an internal consulting team that provides data-driven expertise to various business lines and support functions.
- As a Data Analyst in the Enterprise Analytics Team, you will play a crucial role in analyzing and interpreting data related to property management processes, sales and financial information, and market trends and support decision-making within the organization.
- You will collaborate closely with various stakeholders, including senior business analysts, data scientists, and business leaders, to understand their requirements and deliver valuable analytical solutions.
Requirements:
- Bachelors degree in Math, Statistics, Engineering, Computer science, Other quantitative fields
- 1-4 years of experience with analytical problem formulation and analytics / insight development
- 1-4 years of strong programming experience with SQL, Python, R or other data mining and analysis tools.
- Experience in handling source systems and the ability to adapt your knowledge to new tools and systems. Understanding of our current stack (Microsoft Azure, Databricks) is a plus.
- 1-4 years of experience developing insights and dashboards using a BI tool such as Tableau or Power BI.
- Advanced skills using Excel and PowerPoint
- Excellent communication skills, ability to communicate with technical and non-technical audiences
Responsibility:
- Collect, organize, and analyze large datasets from multiple sources to identify trends, patterns, and correlations.
- Develop, execute and monitor complex insights and analytical solutions to property tech problems using a variety of analytical approaches and methodologies.
- Design and develop reports, dashboards, and visualizations to monitor key performance indicators (KPIs) and business metrics.
- Ensure data accuracy, reliability, and consistency in reporting processes.
- Proactively identify opportunities to optimize the performance and efficiency of existing processes/procedures.
- Manage current project deliverables, communicate roadblocks and find solutions to move projects forward.
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