Senior BI and Analytics Engineer

  • 38960
  • Life - Data Science
  • |
  • Netherlands
  • |
  • Jan 25, 2021
Insurance
RESPONSIBILITIES
  • Work on projects related (but not limited) to fields such as trade credit insurance, bonding and collections.
  • Build and leverage ETL/ELT, Data warehouses, Data marts, OLAP cubes, Data Lakes, Data Virtualization and Data Visualization solutions using a variety of software and code.
  • Support the company reporting tool consolidation and migration strategy.
  • Design and create a variety of data models using different techniques and patterns
  • Create ETL/ELT templates using visual tools or code.
  • Automate the design of conceptual, logical and physical models and publishing them in a data governance environment.
  • Collaborate with architects, infrastructure and software experts to define and build semantic layers, metadata standards, technical implementation strategy and optimal integration into the existing architecture landscape.
  • Translate business requirement to technical design, maintain and groom the backlog of user stories.
  • Support the onboarding of business analysts to self-services business intelligence tool.
  • Participate to define the testing strategy.
  • Ensure business access to adequate, understandable, accurate data.
  • Design, develop and continuously improve supporting activities.
  • Educate and train internal and external stakeholders on the value proposition of the data and analytics platforms.
  • Author or otherwise contribute to customer-facing publications such as whitepapers and proof of concepts.
  • Formulate and execute a strategy to accelerate customer outcomes through the adoption of our platforms.
  • Build deep relationships with senior technical individuals within analytics teams and key customers to enable them to be successful.
  • Capture and share best-practice knowledge and delivery content amongst the analytics community.
QUALIFICATIONS
  • Experience in mobile and web app development involving modern front-end technologies such as React, Angular, Vue in combination with libraries like D3.js.
  • Experience leading a team of Data Engineers and Data Analytics consultants
  • Experience delivering business value to customers with Data Analytics solutions
  • Experience leading enterprise data strategies including data lake delivery
  • Experience with software development life cycle (SDLC) and agile/iterative methodologies required, commensurate modern certifications Azure, AWS, Agile, Scrum, SAFe, etc.
  • Experience on RPA tools, Cognitive platforms and Business Process Automation software.
  • Familiarity with TCO, ROI and Value Models to help Customers understand the cost/benefit equation associated with Data Analytic Cloud solutions.
  • Consulting and professional services experience