Senior Data Quality Analyst
Job Summary
Job Summary
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
Job Requirements
- Strong technical knowledge across the Data warehouse Data lake and Data science.
- Customer focused with good analytical logical and problem-solving skills.
- Focused on innovation and technology acumen
- Strong skill using source system study data analysis and data design.
- Strong development using SnowSQL and IICS.
- Should be ready take up the assignments in AI/ML space and drive the programs to the completion.
- Should have attained experience and knowledge in solving complex problems.
- Should have strong aptitude to learn new technologies.
- Should be a good team player who collaborates within and outside the team.
Job Responsibilities
- Lead and drive complex cross-functional data & analytics initiatives
- Design build and maintainscalable data pipelines & integrations
- Define and trackKPIs and business metrics with stakeholders
- Performdata analysis (small & big data) to solve business problems
- Identifypatterns trends anomalies and generate actionable insights
- Proactivelyidentify and resolve data issues
Required Experience:
Senior IC
About Company
At NetApp, our top priority is the health and safety of our event attendees and employees, including every community around the world being impacted by COVID-19. As a result, we have decided to reimagine our annual NetApp INSIGHT Paris and Berlin events to be fully digital. We’re als ... View more