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Title:  Business Systems Analyst

Location: 

Research Triangle Park, NC, US, 27709

Requisition ID:  30613

Job Summary

NetApp Business Systems Analyst (BSA) in the “data and analytics” realm will be part of a team that identify business intelligence needs, explore data sciences/machine learning to maximize value from data assets.  The individual must have an in-depth understanding of the business environment, an interest in going beyond the obvious, and using new tools/technologies to discover actionable insights from the data.

BSA 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.  This role partners with business teams to provide leadership on strategy, SME, technical expertise, and guidance on key initiatives.  Key work includes translating business needs and opportunities into practical solutions, evaluating and recommending evolving (forward looking) concepts/technologies, ensuring alignment with Target State Architecture.  

Job Requirements

  • Organize, lead, and facilitate cross-functional teams on business intelligence and master data initiatives
  • Work collaboratively and cross-functionally with Sales, Marketing, Finance, Operations, Engineering, Legal, and HR to define and meet stakeholder requirements
  • Work on highly complex, cross-functional, enterprise grade business intelligence solutions using current and evolving tools/technologies
  • Collaborate with business, solution/enterprise architects to translate business requirements into scalable solution options and provide input to Business Analytics and Master Data roadmap/strategy
  • Partner with business in data analysis (small and big) to identify root causes for business pain points, identify opportunities to improve business processes that deliver value.  Work with business partners to extract maximum value from current investment (systems/processes/data)
  • Work with vendors to provide cost estimates and general project management guidance
  • Provides input to business requirements and prepares functional requirement document along with solution options
  • Collaborate with key stakeholders to define KPI and build data metrics to measure KPI’s
  • Identifies and provides input to new technology opportunities that will have an impact on the enterprise-wide BI systems, machine learning, and predictive analytics.
  • Evaluate evolving tools/technologies in alignment with company’s strategic initiatives.
  • Apply new perspectives and creative approaches to less defined issues involving unstructured and ambiguous data
  • Demonstrate good judgment in solving problems as well as identifying problems in advance, and proposing solutions.
  • Explores enterprise data and discovers patterns, meaningful relationships, anomalies and trends to generate actionable insights
  • Define and develop cognitive solutions for business needs, incorporating technologies such as Machine Learning, Cognitive Science and Analytics

Education

  • A minimum of 7 years of experience is required, including 3+ years solid relevant experience in Business Analytics.
  • Must possess strong subject matter expertise in Business Intelligence and Master Data Management
  • Good understanding of at least two domains of Finance, Sales, Marketing, Install Base, and Customer Support areas
  • Experience in implementation of business solutions using Oracle OBIEE, SAP HANA, Tableau, and Data Stage
  • Must have strong data orientation and keen aptitude to explore innovative ways to analyze data
  • Ability to multi-task within a fast-paced, constantly evolving environment
  • Ability to build data metrics and drive efficiency and business adoption.
  • Ability to influence architecture and solution of key deliverables.
  • Exposure to Big Data Analytics (data and technologies), Data Sciences, predictive analytics, modelling, machine learning, in-memory applications
  • Demonstrated ability to have completed multiple, complex technical project
  • Experience in at least some of the following techniques and their applications: Natural Language Processing Machine Learning, Cognitive Science and Analytics.
  • Experience with various data systems like SAP HANA, Hadoop/Hive, Vertica, Redshift, Presto, Pinot/Scuba.
  • Conversant in SQL, NoSQL, JSON, XML, SSL, RESTful APIs, and other related standards
  • Data modeling experience in Enterprise Data Warehouse and DataMart
  • Strong understanding on-premise and cloud AWS, Google deployment.
  • Strong written and verbal communication skills
  • Hands-on emphasis with a proven track record of building and evaluating prototypes, and delivering systems for final production
  • Bachelor of Science Degree in Computer Science, Management Information Systems, or Business, or related field is required


Nearest Major Market: Durham
Nearest Secondary Market: Raleigh

Job Segment: Systems Analyst, Engineer, ERP, Warehouse, Information Systems, Technology, Engineering, Manufacturing