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Data Analyst (Hybrid Schedule)

Job Title
Data Analyst (Hybrid Schedule)
Job ID
27707788
Work Hybrid
Yes
Location
Morris Plains,  NJ Hybrid
Other Location
Description
Our History:
From our start in 2009, Conexess has established itself in 3 markets, employing nearly 200+ individuals nation-wide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track record.

Who We Are:
Conexess is a full-service staffing firm offering contract, contract-to hire, and direct placements. We have a wide range of recruiting capabilities extending from help desk technicians to CIOs. We are also capable of offering project-based work.

Conexess Group is aiding a large healthcare client in their search for a Data Analyst. This is a long-term opportunity with a competitive compensation package.

** This position requires a candidate local to one of the following locations to operate on a hybrid schedule **
  • St. Louis, MO
  • Austin, TX
  • Morris Plains, NJ
Responsibilities:
  • Creating analytical datasets, performing statistical analysis and presenting their findings through reports or dashboard.
  • Ideal candidate would have strong SQL skills and experience in using analytical software like Python/R and visualization tools like Tableau/Shiny.
  • Healthcare experience is a plus. 
  • Experience in creating analytical datasets, performing statistical analysis and presenting their findings through reports or dashboard.
Qualifications:
  • Bachelor’s degree with3-5 years of experience
  • Strong SQL skills and demonstrated experience in extracting and merging data from relational databases like Teradata
  • Ability to come up with analytical plan and perform exploratory data analysis from start to end.
  • Hand-on experience conducting statistical analysis on large datasets using Python, R or Spark
  • Ability to communicate findings of analysis through reports or dashboards.
  • Hand-on experience with visualization tools like Tableau, Shiny and BI Tools
  • Proficient in using MS Office technologies like PowerPoint, Excel & Word
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