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Data Analyst (SQL, R, Python, AWS) (Remote)

Job Title
Data Analyst (SQL, R, Python, AWS) (Remote)
Job ID
27651580
Location
Philadelphia,  PA 19192
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 in a remote capacity. This is a long-term opportunity with a competitive compensation package.   


******We are unable to work C2C on this role******

Responsibilities:
  • Conduct data analysis and comparison across systems
  • Perform data profiling activities to provide statistics and informative summaries for integration of new source system data into environment
  • Provide production support for Client or Producer Domains. Investigate data discrepancies reported by business, triage the issue with DG/IT
  • Extrapolate business rules based on data analysis and document analysis findings
  • Perform ad-hoc data analysis and create output reports for business use
  • Work collaboratively with Business, IT, data modelers, data quality analysts, and delivery teams to analyze data
  • Contributes to data governance and applies seasoned knowledge to ensure data quality.
  • Contributes to data oversight, data usage, system analysis and data retention to assure data quality standards.
Qualifications:           
  • 5+ years’ experience performing data analysis
  • 5+ years’ experience in producing data dictionaries content
  • 5+ years’ experience working with data tools such as SQL, R, Python, SAS, and Tableau
  • Working knowledge AWS (SNS, SQS, EC2, Lambda, Cloudwatch, S3, KMS)
  • Ability to analyze large datasets
  • Ability to create comprehensive reports
  • Experience documenting/presenting data analysis findings
  • Experience and working knowledge of data in a healthcare data management environment is a plus
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