Senior Business Intelligence Analyst

hace 2 meses


San Juan, San Juan, Puerto Rico abarca health A tiempo completo
Role Overview

The Data Modeler will play a key role across the full project lifecycle for rebates projects, from analyzing business requirements to developing, testing, deploying, and supporting users on solutions that meet those requirements.

A key member of our team, the Data Modeler will analyze data to provide insights and recommendations for business decisions and perform data validation to ensure accuracy and appropriateness of analytic models.

Key Responsibilities

  • Translate business requirements into conceptual, logical, and physical data models, including support in designing and implementing scalable data models.
  • Perform root-cause analysis of issues identified in reports by developing an understanding of overall business.
  • Effectively communicate results to clients and staff through well-organized presentations, both oral and written, that reflect analytic methods used and key decision points with sufficient detail to support comprehension of the analysis.
  • Develop reporting strategies and query testing and development.
  • Collaborate closely with all facets of the project’s stakeholders in the development of key decision support initiatives.
  • Develop proper processes for data collection, data standardization, and analytics; initiate data management and identify proper use of analytics tools.
  • Combine business knowledge and technical expertise to assist internal customers when evaluating or addressing business issues through use of data.
  • Participate in the planning, design, and creation of both standard and ad-hoc reports, dashboards, and scorecards.

Requirements

  • Bachelor's degree in Computer Science, Business, Statistical Analysis, or a closely related field.
  • 2+ years of experience in a role requiring information analysis and various forms of report deliverables.
  • Experience with the development of KPIs, dashboards, and departmental scorecards.
  • SQL querying and data profiling.
  • Strong organizational and analytical skills.
  • Ability to work both independently and participate as a member of a cross-functional team.


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