Zebra Is Hiring for Data Analyst Job | Work From Home/Office | Freshers Can also Apply | Urgent Hiring!

Zebra Is Hiring for Data Analyst Job | Work From Home/Office | Freshers Can also Apply

Job Summary

Data Analyst at Zebra will handle all phases of data analysis portions of a customer success engagement within Managed Services offerings. Which includes determining the types of data analysis and utilizing that best supports the increased understanding of the customers business goals which can help them to relate to the operation and business benefits. Build the next generation of Managed Services and Visibility IQ insights and dashboards which can help in further growth.

Job Description

• Job Type: Work From Home/Office
• Post Name: Data Analyst
• Qualification: Bachelor’s Degree
• Experience: Freshers/Experienced
• Salary: Rs. 47000/- Per Month
• Location: Bangalore, India

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Job Responsibilities

• This role involves developing complex SQL queries, conducting data analysis on new and existing data sources and providing recommendations to improve data quality and related efficiencies.
• you will also be developing, running and evaluating data science and predictive analytics models for detection and analysis of patterns and trends in very large datasets.
• Collaborating with internal and external stakeholders and product experts to conduct technical meetings to and ensure that complete coverage of problem and data gathering needed.
• Performing testing and verification of analytics created to make sure that results are consistent and accurate.
• Analyzing insights, implications and communicating findings with internal and external stakeholders using visually compelling visualizations in Sisense, Tableau, or other data visualization tools.

Job Requirements

• Candidate should have advanced skill in analytics tools, database technologies, and SQL.
• Desired candidate should have the ability to develop advanced analytics data models.
• Exceptional attention to detail and accuracy of data is a necessary requirement for the job.
• Familiarity with basic statistical methods will help to a great extent.
• Ability ff the candidate to contribute to the design and development of data pipelines and data warehouses to support the analysis of large-scale data volumes is desired.

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