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RemoteState - Data Analyst

Reposted 2 Days Ago
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In-Office or Remote
Hiring Remotely in Noida, Gautam Buddha Nagar, Uttar Pradesh
Senior level
In-Office or Remote
Hiring Remotely in Noida, Gautam Buddha Nagar, Uttar Pradesh
Senior level
Perform end-to-end data analysis: gather requirements, transform raw data, build and refine reports, monitor performance and quality, and collaborate with cross-functional teams to drive data-driven decisions and process improvements.
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JOB DESCRIPTION : Data Analyst

Job Location : Noida (Onsite)

Experience Required : 5-10 years

Education Criteria : Bachelor or Master’s degree in Computer Science or Engineering Mathematics,

Industrial Engineering, or Management.

Working Days: Monday to Friday

Job Summary

As a Data Analyst you will be responsible for turning data into information, information into insight, and insight into business decisions. You will conduct full lifecycle analysis to include requirements, activities, and design. Data analysts will develop analysis and reporting capabilities and will also monitor performance and quality control plans to identify improvements.

Responsibilities

● Data Transformation: Convert raw data into meaningful information that can guide business strategies.

● Life Cycle Analysis: Manage the entire lifecycle of data analysis, from gathering requirements to activity coordination and design implementation.

● Develop reports and refine analysis and reporting tools to provide clear insights into business performance

● Continuously monitor and assess performance metrics to ensure optimal operation and identify areas for improvement.

● Implement and oversee quality control measures to maintain the integrity and accuracy of data analysis.

● Synthesize complex data sets to extract key trends and insights that drive decision-making processes.

● Work closely with cross-functional teams to prioritize data and analytics needs and supportdata-driven decisions.

● Proactively seek out and recommend process enhancements to streamline data collection and analysis procedures

● Constantly monitor, refine and report on the performance of data management systems.

● Maintain a corporate repository of all data analysis artifacts and procedures.

● Perform other functions as may be assigned

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