Senior Business Intelligence Developer

4 days ago


Kannur, Kerala, India beBeeDataModeling Full time ₹ 10,00,000 - ₹ 20,00,000
Job Description

As a Data Modeler, you will play a key role in the delivery of complex transformation program development within our data portfolio.

  • Support the creation and implementation of world-class data models to serve our customers' needs.
  • Work collaboratively with agile multi-skilled teams to develop innovative solutions.
  • Elicit and analyze business change, functional, and non-functional requirements across a range of stakeholders.
  • Develop and deliver high-quality data models that adhere to agreed standards and meet both business and technical requirements.
  • Own and produce relevant analysis and modeling artefacts to enable development teams to develop working products.
  • Understand the end-to-end user journey, going beyond the system level.
  • Provide advanced business knowledge and technical support for requirements development.
Required Skills and Qualifications
  • Strong Data Analysis and/or Data Modeling experience of 4-8 years.
  • Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate high-level functional data or business requirements into technical solutions, database designing, and data mapping.
  • Should be an individual contributor with good understanding of the SDLC & Agile methodologies.
  • A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast-paced and continuously changing environment.
  • Excellent communication & stakeholder management skills and should be capable of building rapport and relationships.
  • Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects.
  • Other Skills & Tools: SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable).
  • Comprehensive understanding of the Data Modeling (conceptual, logical, and physical), create and deliver high-quality data models, by following agreed data governance and standards.
  • Maintain quality metadata and data-related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.


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