[iceberggroup]Business Process Analyst
Steven Kerns
steven.kerns@iceberggroup.org
Sun, 10 Jan 2010 18:05:38 -0600
This is a multi-part message in MIME format.
------=_NextPart_000_0035_01CA921F.8429E4E0
Content-Type: text/plain;
charset="us-ascii"
Content-Transfer-Encoding: 7bit
An Iceberg client is looking for a Business Analyst for business process
analysis and modeling (using Casewise Corporate Modeler and/or Microsoft
Visio).
This project work will occur over the course of the next six months
involving meeting with the various business units in Regulatory Services,
CPED and Public Works departments to analyze and document their business
processes relative to their use of the City Land Management software Kiva.
The process analysis sessions will also uncover data standardization
opportunities relative to the use of the Kiva product. This work is
expected to require only a 15 to 20 hour per week commitment.
Consultant would be responsible for capturing and maintaining requirements
specification and supporting artifacts for the lifecycle of the project,
including development of system use case models, where applicable.
Primary Responsibilities:
* Interact with business groups and customers to identify, analyze and
model business functions, processes, activities and tasks. Document and
confirm correctness of process models.
* Work with Kiva application analysts and data analysis team to help
identify and model system use cases and logical data mappings from Kiva
system (and other data sources) to business processes. Capture outcomes of
these activities to document use case models, data dictionaries and other
project artifacts.
* Work with project team to identify, capture and maintain solution
requirements documentation through lifecycle of project. This includes
documentation of the data management procedures documents that are the
primary deliverable of the project.
* Coordinate end-user testing of project deliverables, where
applicable.
* Help develop materials and coordinate end-user training, if
applicable.
Requirements:
* Strong analytical and communication skills
* Demonstrated technical documentation skills showing ability to
translate technical material for non-technical audiences
* Demonstrated ability to perform business process analysis and
modeling (BPML standard) using either MS Visio or Casewise Corporate Modeler
(work-product samples requested)
* Demonstrated ability to perform use case analysis and modeling (UML)
using MS Visio (work-product samples requested)
* Strong skills with Microsoft Office applications including Word,
Excel, Access, Visio, Project and Power Point
* Ability to capture data analysis and models, such as logical entity
relationship diagrams, data-flow diagrams and data dictionaries
* Demonstrated ability to deliver assignments on time and within budget
(references required)
* Willingness to work in a team environment and coordinate with other
members of the application development team
* Ability to multi-task and manage shifting priorities in a fast-paced
environment
* Ability to quickly learn new concepts
If you are interested, please send me your resume, availability,
all-inclusive rate, and a few sentences describing your experience as it
pertains to the job requirements.
Duration: 6 months
15-20 hours per week.
Also feel free to forward this to any other colleagues you think might be
interested.
Best regards,
Steve Kerns
Iceberg Technology Group
612-656-0511 x 103
651-428-8135 cell
www.iceberggroup.org <http://www.iceberggroup.org/>
------=_NextPart_000_0035_01CA921F.8429E4E0
Content-Type: application/ms-tnef;
name="winmail.dat"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
filename="winmail.dat"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=
------=_NextPart_000_0035_01CA921F.8429E4E0--