Job Description :
Hi,
Hope you are doing well,
Please find the job description given below and let me know your interest.
Position: SAS Developer
Location: Detroit, MI
Job Description:
JOB SUMMARY FOR SAS DEVELOPER:
In order for you to be considered for this engagement, the two
items below must be fulfilled.
This role is part of the Reporting and Analytics Enablement team.

RESPONSIBILITIES FOR SAS DEVELOPER:
The primary responsibility will be to create/develop BI and Analytic reports, visualizations
and dashboards requested by various departments using any one of a number of tools
including Tableau, Qlik, Cognos, SAS and others as needed.
Other duties can include data analysis, requirements definition, solution design
consulting, report design, application development, framework modeling, and some
testing.

REQUIRED EXPERIENCE FOR SAS DEVELOPER:
Minimum 5 years of development experience with multiple BI and analytic tools,
including but not limited to Tableau, Qlik, Cognos and/or SAS with an emphasis on the
creation of visualizations, dashboards, and interactive reports.
Demonstrated experience with big data tools including hadoop, pig, hive, spark, impala,
Cassandra, etc.
Strong UI/UX skills and strong grasp of visualization design principles required.

SKILLS AND QUALIFICATIONS FOR SAS DEVELOPER:
Strong data skills including analysis, framework modeling, performance optimization.
Excellent communication skills, both written and verbal, are required.
Strong work ethic and team work skills are required.
Strong MS Office skills, specifically, visio, excel, ppt, PowerBI and sharepoint.
Self-started mentality with the ability to work independently on deliverables when
necessary.

Ability to proactively anticipate needs, identify and recommend alternative solutions or
options.
Willingness to learn new tools and skills quickly.
Natural curiosity and strong desire to solve problems quickly.
Ability to quickly come up-to-speed in a new environment and/or industry.
Exposure to Python, R or R studio a plus.
Strong math and statistical background a plus.
Experience with big data platforms, including cloud based, on-prem or hybrid a plus;
could include AWS, Cloudera, Hortonworks, Azure, etc.