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If I miss your call please mail me.

*Position:  Data Analyst*

*Location:  Houston, TX*

*Duration:   6+ Month*

*Requisition Details:*

*Day-Day Responsibilities for Data Analyst*

Data mining of enterprise assets

SQL scripting to validate current processes and procedures

Preparing ad hoc analyses for various end business users (explaining

Working with business analysts to understand their current and future needs

Grinding through manual work to produce ID equivalence matches across
different systems of records (OPIS, MPSI)

Ad hoc DBA for SQL server environment – designing the requisite items to
store the data

Contributing to discussions on data quality


SQL (MS SQL and SAP Hana)

Geo-spatial technologies and analyses

Tableau (at least the ability to get something to show up for an end user)

Excel (understand how existing reports are built and how to optimize them)

*Preferred Skills:*

Investigate current approaches to determine if there is a better/more
effective/efficient method to accomplish a task (Geo-location, active site
by time bracket)

Willingness to learn and acquire the necessary hard skills (coding and

Necessary to possess the soft skills – most of my work needs to be
explained to an audience unfamiliar with what I am working with – the
person needs to be able to articulate over email and face to face their
approach. Essentially they need to convince the end user that their
approach is correct and a heavy handed approach may not accomplish this

Data quality – needs to understand the intersection of business processes
(consignment rules, unbranded contract rules) and how those rules impact
the ability to produce analytics built upon the raw data. This requires a
hybrid skill set of around equal parts technical and business knowledge.
There is a need to be able to see a potential issue and to be able to
identify the root cause

Extreme familiarity with Excel – the ability to use macros is not necessary
although it does indicate the ability of a person to understand technical
facts. The biggest question is whether they understand how to use the match
function to determine if there is any duplication in the primary key fields
(secondary is so that they can produce analyses based in Excel). They need
to understand how to utilize case statements (Excel and SQL)

Analytics – Ability to tinker with existing assets to determine is
something is technically feasible and then to determine if there is a
tangible benefit to this – think the price counseling – this was originally
an adhoc request that we made work. There was no structure in place just
loose guidelines and an end goal.

Ability and willingness to read with an eye towards details. In reviewing
the segmentation documentation it was necessary to be able to remember
disparate pieces of information to make an informed decision on the correct
approach to adopt when it came to calculations and metrics

Business acumen – have already touched on this above, but they need the
ability to understand why certain things are done a certain way. This does
not necessarily mean that this is the best way, just that it is the current
approach. They also need to understand the existing limitations within the
business end users and what they are capable of doing given their assets,
and in parallel the limitations of the assets utilized to access and store
the data

Technology – agnostic, in a nut shell they need to be capable to becoming
familiar with any range of skills, at a minimum, sql and excel although
there are different flavors of sql they should be able to quickly adapt to
the nuances of each. Essentially, they need not be a master of any one
particular skill set but rather need to be a generalist capable of
continual learning

*Thanks and regards,*
*Amit Mandal*
*|| IT-SCIENT | Phone: **510-516-7887** | Fax: *877.701.4872* |
Email: itscient00.a...@gmail.com <soura...@itscient.com>** | Web: *
www.itscient.com* ll*

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