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Data Analyst
  • Python
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  • Big Data
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  • Modeling
  • Hadoop
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NetApp
Research Triangle Park, NC 27709
139 days ago

Are you data-driven? We at NetApp believe in the transformative power of data – to expand customer touchpoints, to foster greater innovation, and to optimize operations. We are designed for simplicity, optimized to protect, created to embrace future opportunity, and open to enrich choice. We are the data authority for hybrid cloud, and we are helping our customers realize the full potential of their data.


We’ve built a Data Fabric for a data-driven world – to simplify and integrate data management across the resources that are best for the business. With the Data Fabric, our customers can harness the power of cloud data services, build cloud infrastructures, and modernize storage through data management.

Job Summary

You will be part of Enterprise Data & Analytics team responsible for identifying analytical needs, exploring new technologies, & applying data sciences/machine learning concepts to maximize value from data assets. Data Engineer will work closely with key stakeholders both IT & Business to turn data into critical information & 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, & obsession for customer success

Job Functions

  • Lead multiple teams on highly complex, cross-functional, enterprise data & analytics initiatives
  • Develop scalable data pipelines & build out new integrations to support continuing demand for data
  • Translate business requirements into scalable solution options & provide input to Business Analytics & Master Data roadmap/strategy
  • Provide input to business requirements, prepares functional requirement document
  • Partner with business in data analysis, solving problems & proactively identifying & resolving data issues
  • Analyze data with creative approaches to less defined issues involving unstructured data
Essential Funct's Cont & Job Requirements
  • Design & Implement reconciliation processes & systems to monitor data quality to ensure data is accuracy, completeness, & that reconciles with source systems
  • Define & develop cognitive solutions for business needs, incorporating technologies in Machine Learning, AI, & Analytics.
  • Identify, evaluate & suggest new technology opportunities (including open source) that will have an impact on the enterprise-wide BI systems, machine learning, & predictive analytics.
  • Work with vendors to provide cost estimates & general project management guidance

Requirements

  • Must possess strong subject matter expertise in at least two domains of Sales, Marketing, Install Base, Finance, & Customer Support areas.
  • Demonstrated ability to have completed multiple, complex technical projects
  • Data modeling experience in Enterprise Data Warehouse & DataMart
  • Hands-on experience in SQL, Python, NoSQL, JSON, XML, SSL, RESTful APIs, & other related standards
Job Requirements Con't & Education
  • Hands-on emphasis with a proven track record of building & evaluating data pipes, & delivering systems for final production
  • Must have strong data orientation & keen aptitude to explore innovative ways to analyze data
  • Exposure to Big Data Analytics (data & technologies), Data Sciences, predictive analytics, modelling, machine learning, in-memory applications
  • Experience with various data systems like Oracle Data Warehouse, SAP HANA, Hadoop/Hive, Vertica, Redshift, Presto, Mangodb
  • Experience in all phases of a Software Development Life Cycle. Well versed in different project life cycle management methodologies – Waterfall and Agile.
  • Strong understanding devops, on-premise, and cloud deployments - AWS, Google, Azure
  • A minimum of 7 years of experience is required, including 3+ years solid relevant experience in Business Analytics.
  • Bachelor of Science Degree in Computer Science, Management Information Systems, or Business, or related field is required

So get ready to tap into the data visionary within, and join us as we accelerate digital transformation and empower our customers to change the world with data!


If you ask a NetApp employee why they work here, the answer is inevitably the same: the people. At NetApp, our culture is at the heart of what we do. We place importance in trust, integrity, teamwork, and caring above all else. NetApp is a place where people are empowered to make a difference. Empowered to innovate. Empowered to collaborate. Empowered to help ourselves and others be data-driven and change the world. We take care of each other, our customers, our partners, and our communities simply because it’s the right thing to do.


We work hard but also recognize the importance of work-life balance for our employees because what’s important to them is important to us! Recently we implemented Family First, which encourages employees to take paid time off to bond with a new child (through birth or adoption) or to care for a family member with a serious health condition. Our volunteer time off program is best in class, offering employees 40 hours of paid time off per year to donate their time with their favorite organizations. We provide comprehensive medical, dental, wellness and vision plans for you and your family. We offer educational assistance, legal services, and access to discounts and fitness centers. We also offer financial savings programs to help you plan for your future.


Join us and see what empowerment can do.


Equal Opportunity Employer Minorities/Women/Vets/Disabled

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