Kfs-posted about 1 year ago
$115,000 - $135,000/Yr
Full-time • Mid Level
Onsite • Albany, NY
11-50 employees
Professional, Scientific, and Technical Services

The Data Scientist/Analyst position at KFS, LLC involves supporting a data analytics and support services team in analyzing, verifying, designing, refining, modernizing, and maintaining data models and component views within various client systems. The role requires conducting gap analyses, ensuring accurate data representation in reporting capabilities, and providing recommendations for utilizing big data sets to enhance population health reporting.

  • Support the development and implementation of data marts, data structures, functions, data warehouse fact & dimension tables, views, and indexes
  • Interact with Functional Analysts, Project Managers, ETL developers, and end users regarding data needs
  • Write complex SQL queries and perform SQL performance tuning
  • Work with SOAP and RESTful Web services
  • Develop web-based solutions using HTML, CSS, Javascript, JSON
  • Utilize advanced business intelligence skills and proficiency in data architecture, data visualization, and reporting
  • Understand data structures and modeling
  • Model reporting marts/layers for multiple BI Tools
  • Conduct data model reviews with project team members
  • Capture technical metadata through data modeling tools
  • Gather analyst requirements and optimize data retrieval
  • Review and provide input on Business Rules Document(s)
  • Document all scripts used for extracting/processing data
  • Assist with other duties as assigned
  • Bachelor's Degree in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields preferred
  • 6+ years of practical experience preferred
  • SQL or Tableau experience preferred
  • Must possess and maintain an IT I level certification IAW AR 25-2 and an IAT II certification IAW DoD 8570.01-M and BBP 05-PR-M-0002
  • Federal/Military programming or project exposure
  • Understanding and experience in a broad range of database competencies
  • Experience assessing impacts of legacy systems and addressing data related problems of system integration and compatibility
  • Experience defining an overall data architecture as it relates to task goals during the analysis, design, planning phases and implementation of each project
  • Ability to prioritize and meet deadlines
  • Strong data extraction and processing skills
  • Experience within the domain of population health
  • Medical, dental, vision, disability, and life insurance
  • Flexible Spending Accounts
  • 401(k)
  • PTO
  • Paid paternal leave
  • Tuition reimbursement
  • Paid federal holidays
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