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Cynet Systems Inc

Cynet Systems Inc is hiring: Senior Data Analyst in Great Falls Crossing

Cynet Systems Inc, Great Falls Crossing, VA, United States

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Job Description

Essential Functions:

  • 25% Engages in data exploration using various programming languages (reading and writing code), requiring advanced knowledge of multiple database structures
  • 15% Collect, analyze, and interpret data to glean insights, and develop business appropriate recommendations
  • 15% Research and analyze data flow across complex data ecosystem including operational and analytical data platforms
  • 15% Serve as an expert resource supporting data questions and issues from stakeholders and driving to resolution
  • 10% Lead in the design, development, validation and delivery of data to provide insight into business decisions
  • 10% Manage the collection of business and technical requirements from Stakeholders to deliver data driven solutions. Produces technical documentation that is consistent with professional standards
  • 10% Be a resource and mentor to junior level staff
  • Candidate will also support the implementation of a Data Integration/Data Warehouse for the Delivery Team
  • Data Cleaning – identify erroneous data and determine appropriate resolution
  • Analyze and assess the quality and integrity of the data including Reference Data
  • Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
  • Understand the meaning/business context of data
  • Acquire data from internal or external data sources and maintain mapping documents of the files, databases/data systems.
  • Perform documentation of the STTM & Mapping doc
  • Perform data analysis and data modeling to create source to target mappings.
  • Evaluate risk from statistical information to determine risk to operations or non-compliance.
  • Perform gap analysis of data requirements versus current data sources.
  • Work closely with business analysts and source data experts to develop data requirements.
  • Assess current data and assist in the resolution of data anomalies.
  • Interpret data, analyze results using statistical techniques and provide ongoing reports and feedback
  • Data profiling experience(Preferably using Abinitio DQE)

Qualifications

  • To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
  • The requirements listed below are representative of the knowledge, skill, and/or ability required.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education Level

  • Bachelor\'s Degree

Education Details

  • Data Science, Mathematics, Computer Science, Statistics, Business or related field

Experience

  • 5 years’ experience in an analytical/quantitative role.

In Lieu of Education

  • In lieu of a Bachelor\'s degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

Additional Qualifications

  • 3+ years of Experience in Healthcare Industry
  • 7+ years of Hands on experience with Big Data/NoSQL Platforms with experience delivering production projects at scale.
  • 7+ years of demonstrated experience as Data Analyst
  • 7+ years of Strong SQL and data modelling skills like 3rd normal form and dimensional modelling
  • Demonstrated ability to perform complex queries, assess data quality and develop data mappings.
  • 7+ years of experience in developing Source to Target mapping (STTM) & Gap Analysis based on business requirement.
  • 7+ years of experience with multiple data warehousing and analytics development projects
  • Data profiling experience(Preferably using Abinitio DQE)

Knowledge, Skills and Abilities (KSAs)

  • Quantitative ,analytical and problem solving skills. , Advanced
  • Knowledge and understanding of analytical tools , languages ,applications, platforms., Advanced
  • Excellent communication skills both written and verbal, Advanced
  • Ability to learn quickly and take direction., Advanced
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