Hi,

I have an urgent requirement with one of my clients, details given below.
If you find your self suitable for the position, please send me your latest
updated resume along with contact details. Please include your employer
details as well.



*Job Title*

SAS Lead

*Project Location  *

Eden Prairie ,MN

*Duration*

6 Months /Contract

*Client - UHG*

*MOI: Telephonic + Skype*

*Responsibilities:*

The lead needs to be able to interpret data. They can have experience with
SAS or R. The manager has seen candidates who say they can interpret  data
and understand the analytics but no one has been able to explain their
work. They seem to be more SAS administrators which is not required.



The lead position will be customer focused and work with executives to
explain to them what the team has found in the data. They need to truly
understand SAS and the results SAS will present and be able to explain it.



An example of a task that might be preformed is looking at data to predict
what will happen in the future. Ie. If they look at the call centre data
and see that it spiked at a certain point, how did that

flow down to different areas and what happened when this occurred. From
there they can explain and predict or fix what will happen the next time
the call centre has a spike.



In other words, how are all the dots connected.



This role is in the healthcare exchange team, they have 10,000 users.
Healthcare experience is not required.



Must truly be able to understand Statistical Analytical Software and be
able to interpret it and explain it in the interview, to customers and
executives.



The lead will work 100% independently with no direction. They will have
someone more junior helping them on a daily basis.





A successful candidate will have strong analytical and communication skills
and a natural curiosity to understand "why" performance is favorable or
unfavorable and will take a proactive role in problem solving.

*           Ability to identify, quantify, and develop business
opportunities through data analysis

*           Experience in applying advanced analytical techniques to solve
business problems (data mining, correlation analysis, regression modeling,
clustering, segmentation...)

*           Experience with SAS programming and building SQL queries to
complete analyses (SAS data steps, SAS STATS, SAS GRAPHS, PROC SQL)

*           Ability to simplify complex data into metrics and
recommendations that are easily understood and actionable

*           Experience with data visualization techniques and tools to
present complex analytical findings in clear business terms

*           Ability to champion projects from beginning through
implementation, meet deadlines, and handle multiple priorities

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