Data Analyst

Platinus Technologies; Gurugram District; On-site; INR 400,000 - 700,000; Full time

Job summary

Platinus Technologies Pvt Ltd. is seeking a Data Analyst Support to collaborate with project managers, understanding analytics needs and KPIs, and delivering actionable insights to decision-makers.

The role involves proactively analyzing data to uncover drivers of performance and areas for efficiency improvements. You will create visualizations and integrate data from multiple sources to support business decisions.

Responsibilities

• Work with project managers to understand analytics needs, KPIs, and deliver actionable insights to decision-makers.
• Proactively analyze data to answer key business questions and identify areas to improve efficiency and productivity.
• Create and maintain rich interactive visualizations and dashboards using data from multiple sources.
• Define and implement data acquisition and integration logic for scalable and high-performance solutions.
• Develop and maintain databases, building scripts to make data evaluation scalable across datasets. Part Time Supports.

Job description

Roles and Responsibilities : Data Analyst Support.

• Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
• Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity
• Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources
• Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution
• Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets. Part Time Supports.