NetApp Recruitment Drive; Hiring Data Analyst – Apply Now

You will be part of Enterprise Data & Analytics team responsible for identifying analytical needs, exploring new technologies, and applying data sciences/machine learning concepts to maximize value from data assets. Data Engineer will work closely with key stakeholders both IT and Business to turn data into critical information and knowledge that can be used to make sound business decisions. The individual must have an in-depth understanding of the business environment, an interest in going beyond the obvious, aptitude for new tools/technologies, and obsession for customer success

Name of the Organization: NetApp

Requisition ID: 126897-en_US

Positions: Data Quality Analyst

Location: Bangalore

Salary: As per company Norms

Educational Qualifications:

• A minimum of 3-5 years of experience with Bachelor of Science Degree in Computer Science, Management Information Systems, or Business, or related field is required

Skills Required:

• Must possess strong subject matter expertise in at least two domains of Sales, Marketing, Install Base, Finance, and Customer Support areas.
• Demonstrated ability to have completed multiple, complex technical projects
• Data modelling experience in Enterprise Data Warehouse, DataMart and ETL tools like IICS, Snowflake(Snowtasks)
• Hands-on experience in SQL, XML, SSL, RESTful APIs, and other related standards.
• Hands-on emphasis with a proven track record of building and evaluating data pipes, and delivering systems for final production.
• Prefer having working knowledge in any reporting tools like PBI (DAX, security, model creation), Tableau .
• Experience with various data systems like Oracle Data Warehouse, Snowflake.
• Strong understanding devops, on-premise, and cloud deployments - AWS, Google, Azure
• Strong written and verbal communication skills
• Excellent problem solving and troubleshooting skills

Job Description:

• Organize, lead, and facilitate multiple teams on highly complex, cross-functional, enterprise data and analytics initiatives
• Develop and maintain scalable data pipelines and build out new integrations to support continuing increases in demand for various types of data
• Collaborate with key stakeholders to define KPI and build data metrics to measure KPI’s
• Partner with business in data analysis (small and big) and demonstrate good judgment in solving problems as well as proactively identifying and resolving data issues
• Explores enterprise data and discovers patterns, meaningful relationships, anomalies and trends to generate actionable insights

 

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