Data BI Engagement Lead

4 weeks ago

Wilmington, United States eTeam Full time
  • Must possess strong subject matter expertise in domains of CRM, Sales, Marketing, Customer Support areas.
  • Must have strong data orientation and keen aptitude to explore innovative ways to analyze data

Job Requirements:-
  • 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 business, solution/enterprise architects to translate business requirements into scalable solution options and provide input to Business Analytics and Master Data roadmap/strategy
  • Provide 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 KPIs
  • 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
  • Analyze data with new perspectives and creative approaches to less defined issues involving unstructured and ambiguous data
  • Technical skills:-
  • Must possess strong subject matter expertise in domains of CRM, Sales, Marketing, Customer Support areas.
  • Demonstrated ability to have completed multiple, complex technical projects
  • Data modeling experience in Enterprise Data Warehouse and DataMart
  • Hands-on experience in SQL, Python, NoSQL, JSON, XML, SSL, RESTful APIs, and other related standards
  • Hands-on Client with a proven track record of building and evaluating data pipes, and delivering systems for final production
  • Must have strong data orientation and keen aptitude to explore innovative ways to analyze data
  • Exposure to Big Data Analytics (data and 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, SnowFlake
Strong understanding devops, on-premise, and cloud deployments - AWS, Google, Azure
Strong understanding devops, on-premise, and cloud deployments - AWS, Google, Azure

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