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Cognos Developer
Ref No.: 17-16342
Location: Amelia, Ohio
Only GC and Citizens


Purpose:

Develops and supports the data analytics needs of the organization. Provides the facility and means to access the pertinent data primarily through the use of the Business Intelligence and Analytics suite of products, Cognos, SQL queries, and Microsoft tools for reporting and analysis.


Roles & Responsibilities:
  • Implements changes consistent with business requirements and established time schedules.
  • Interprets business requirements and produces information objects to support those requirements.
  • Creates and maintains appropriate documentation—designs and implements standards.
  • Develops queries, reports, packages, cubes, and end user applications to meet business needs.
  • Uses appropriate tools and technologies to develop and test the logic changes needed by various applications programs.
  • Troubleshoots and provides user support for data analytic issues by reviewing program code and data source for flaws in design or integrity.
  • Develops and expands knowledge of relevant tools and technologies.
  • Uses the Software Development Life Cycle (SDLC) methodology to deliver Business Intelligence and Analytics projects through requirements gathering, scope definition, development, testing and implementation.
  • Enhance or maintain existing applications, and the analysis of data problems and implementation of fixes for defects reported in various applications.

Required Technical Skills
  • Strong problem solving, diagnostic, and analytical skills including; ability to relate numbers and calculations to ideas.
  • Proficient using Cognos and Suite of tools including the development and applying business rules.
  • Proficient in the use of Microsoft Office Suite of tools.
  • Strong programing skills including; Oracle, DB2, CSS, Java Script, jQuery, Java, SQL, Batch Program, and HTML.
  • Strong knowledge of data gathering using Structured Query Language (SQL).
  • Broad understanding of information technologies, their uses and applications.
  • Strong knowledge in conceptual, logical and/or physical data modeling, including technical infrastructure.
  • Strong knowledge of system/data security mechanisms required for internal/external presentation of client analytics via the Internet.
  • Advanced knowledge of Data Warehouse/ Business Intelligence and Analytics project lifecycle (SDLC), tools, technologies, testing, and best practices.
Proficient in translating business requirements to technical specifications