Technical Analyst - Data Engineer

JLL; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

JLL in Bengaluru seeks a Technical Analyst (Data Engineer) to collect and analyze data from building systems, develop dashboards, and provide insights for data-driven decisions. You will collaborate with SMEs, BMS leads, and stakeholders to enhance performance and sustainability across the portfolio.

The role requires strong data engineering skills, hands-on experience with SQL, Python, and BI tools, and the ability to communicate complex findings to technical and non-technical audiences.

Qualifications

• Minimum 5 years of experience as BI, data analyst, or project coordinator.
• Strong foundation in data and systems engineering concepts.
• Proficiency in SQL, Python, and R for data analysis.

Responsibilities

• Collect, validate, and analyze data from building systems and reports.
• Collaborate with SMEs and BMS leads to understand performance and anomalies.
• Develop and maintain dashboards to visualize KPIs and trends using Power BI/Tableau.
• Identify insights to improve efficiency, reduce downtime, and sustainability.
• Support predictive maintenance by analyzing historical and real-time data.
• Automate data collection and reporting across multiple sources like Databricks and Azara.
• Ensure data security and comply with data governance standards.
• Stay updated on data engineering tools and analytics platforms for facilities management.
• Present findings to stakeholders at technical and senior levels.
• Work with cross-functional teams on BI initiatives and deliver quality outputs.

Skills

SQL

Python

R

Analytics

Communication

Problem solving

Organizational skills

Team collaboration

Education

Bachelor’s degree in engineering/IT/CS

Tools

Power BI

Tableau

Looker Studio

Databricks

Azara

Job description

Position Title: Technical Analyst (Data Engineer)

The Technical Analyst (Data Engineer) is responsible for collecting, reviewing, and analyzing technical data from various building systems and operational sources. This role collaborates closely with technical Subject Matter Experts (SMEs), the Building Management System (BMS) Lead, and other stakeholders to identify trends, generate actionable insights, and develop dashboards that support data-driven decision-making across the JLL portfolio. The role requires strong technical acumen, data engineering skills, and the ability to communicate complex findings to both technical and non-technical audiences.

Key Responsibilities

• Collect, validate, and analyze technical data from building systems, sensors, and operational reports, ensuring data integrity and accuracy.
• Collaborate with technical SMEs and BMS leads to understand system performance, identify anomalies, and develop data-driven solutions.
• Develop, maintain, and enhance dashboards and reporting tools to visualize key performance indicators (KPIs), trends, and operational metrics using platforms such as Power BI and Tableau.
• Identify and communicate actionable insights to improve system efficiency, reduce downtime, and support sustainability initiatives.
• Support predictive maintenance and operational excellence programs by analyzing historical and real-time data.
• Automate data collection and reporting processes, integrating data from multiple sources including Databricks, Azara, and other enterprise platforms.
• Ensure data security and compliance with JLL’s data governance standards.
• Stay updated on emerging data engineering tools, analytics platforms, and best practices relevant to building operations and facilities management.
• Work with cross-functional teams to support business intelligence initiatives and deliver high-quality analytical outputs.
• Present findings and recommendations to stakeholders at various levels, including technical teams and senior management.

Educational Qualifications

• Bachelor’s degree in engineering, information technology, computer science, or a related field is preferred.
• Formal education should provide a strong foundation in data and systems engineering concepts to effectively integrate and analyze data for actionable business information deliverables.

Experience and Skills

• Minimum 5-year past work experience as a project coordinator, BI, business, or data analyst. Experience with process improvement is preferred.
• Experience with infrastructure and large complex projects is strongly preferred.
• Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
• Experience with dashboarding and data visualization platforms (e.g., Power BI, Tableau, Google Looker Studio).
• Intermediate to expert proficiency in Microsoft Office applications: Word, Excel, PowerPoint, and Outlook.
• Ability to analyze and communicate data to clients and teams.
• Strong analytical, problem-solving, and communication skills.
• Able to think logically, organize workflows efficiently, and solve problems independently.
• Experience working with BMS or other building automation systems is highly desirable.
• Ability to work collaboratively with technical and non-technical stakeholders.

Preferred Attributes

• Demonstrated ability to manipulate large amounts of data accurately using different spreadsheet formats.
• Proven ability to read, comprehend, and apply information from technical manuals and other reference materials.
• Ability to make informed recommendations in situations where data sets may be incomplete.
• Strong organizational skills and ability to multi-task.
• Self-motivated and able to work without direct supervision.