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Business Intelligence and Analytics
Ref No.: 17-00642
Location: Cincinnati, Ohio
Position Type:Contract
Role Title: Business Intelligence and Analytics Requirements Engineer

Provides a critical layer between the business, Business Intelligence and Analytics, and Information Technology teams with responsibility to gather, analyze, evaluate, and document the business, functional, technical, security, performance, training and data mapping requirements needed to effectively deliver analytics and reporting.

Roles & Responsibilities:
· Strong knowledge in using the appropriate tools and technologies to create and/or provide governance of the Software Development Life Cycle (SDLC) documentation needed by various teams (business users, testers, trainers, and applications development teams) to successfully develop and maintain infrastructure and business systems applications.
· Produce and publish the required SDLC artifacts on projects with a moderate degree of complexity and scale.
· Attend kickoff and other project-related meetings with end business users to understand initiative objectives, document results, and capture follow ups, as appropriate.
· Document the "AS IS” and "TO BE” business and technology processes.
· Assist in the creation of test cases and test data for, and the execution of Unit, Integration, and Usability testing.
· Support the effort to maintain system documentation, including screen, report, and job execution descriptions, user manuals, operational procedures, application, and job flows.
· Provide status reports according to departmental and project standards.
· Identify continuous process improvement opportunities and operationalize solutions for same.
· Participate actively in requirement gathering and gap analysis activities.

Required Technical Skills
· Knowledge of insurance applications and core business functions, or equivalent experience in the financial services, of Property & Casualty Insurance industry.
· Ability to interact with Information Technology and Line of Business management, and when necessary lead the planning and execution of implementations of small to medium complexity projects.
· Strong knowledge of Data Warehouse/ Business Intelligence and Analytics project lifecycle (SDLC), tools, technologies, testing, and best practices.
· Proficient using Cognos and TM1 Suite of tools.
· Proficient in the use of Microsoft Office Suite of tools.
· Knowledge of data gathering using Structured Query Language (SQL).
· Proficient in use of Project Management tools using MS Project.
· Broad understanding of information technologies, their uses, and applications.