Honu Services - Springfield, IL

posted 2 months ago

Full-time - Mid Level
Onsite - Springfield, IL
Professional, Scientific, and Technical Services

About the position

As a part of a data analytics and support services team, the Data Scientist/Analyst will play a crucial role in providing data science, architecture, and analytics support. This position involves analyzing, verifying, designing, refining, modernizing, and maintaining the data model and component views within various client systems. The contractor team will conduct a thorough analysis of the current data models and data logic utilized in the vision registry to identify any existing gaps. A comprehensive gap analysis will be performed, which will include a concise mitigation plan to address any identified gaps within the data model. The team will employ industry-standard methodologies to ensure that the data model, data logic, and established business rules are accurately represented in the reporting capabilities of the systems. Additionally, the team is responsible for analyzing and providing recommendations for utilizing big data sets, structuring, and analyzing the data in a manner that enables client end users to prepare reports from a population health perspective. The Data Scientist/Analyst will support the development and implementation of data marts, data structures, functions, and data warehouse fact & dimension tables, views, and indexes. This role requires a demonstrated ability to interact effectively with Functional Analysts, Project Managers, ETL developers, and end users regarding their data needs. The position also involves writing complex SQL queries and performing SQL performance tuning, as well as working with SOAP and RESTful web services. The candidate should have experience developing web-based solutions using HTML, CSS, JavaScript, and JSON, and possess a working knowledge of industry standards such as RDF, RDFs, OWL, and XML. Advanced business intelligence skills are essential, along with proficiency in data architecture, data visualization, and reporting. A strong understanding of data structures and modeling is required, as well as experience modeling reporting marts/layers for multiple BI tools. The Data Scientist/Analyst will conduct data model reviews with project team members, capture technical metadata through data modeling tools, and gather analyst requirements to optimize data retrieval and querying capabilities. Documentation of all scripts used for data extraction and processing is also a key responsibility of this role.

Responsibilities

  • 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, and JSON.
  • Utilize advanced business intelligence skills and apply experience 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 and querying capabilities.
  • Document all scripts used for extracting/processing data.
  • Assist with other duties as assigned.

Requirements

  • 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.

Benefits

  • Medical, dental, vision, disability, and life insurance
  • Flexible Spending Accounts
  • 401(k)
  • PTO
  • Tuition reimbursement
  • Paid federal holidays
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