Data Scientist/Analyst

$115,000 - $150,000/Yr

Honu Services - Springfield, IL

Full-time - Mid Level

Onsite - Springfield, IL

11-50 employees

Professional, Scientific, and Technical Services

About the position

The Data Scientist/Analyst position at KaiHonua, LLC involves supporting data analytics and architecture efforts within various client systems. The role focuses on analyzing, verifying, designing, refining, modernizing, and maintaining data models, while conducting gap analyses to identify and mitigate issues within the data logic. The position requires collaboration with various stakeholders to ensure accurate representation of data in reporting capabilities, and involves utilizing big data sets to enhance population health reporting.

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, JSON.
• Utilize advanced business intelligence skills and proficiency in data architecture, data visualization, and reporting.
• 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 processes.
• Document all scripts used for extracting/processing data.

Requirements

• Bachelor's Degree in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields.
• 6+ years of practical experience in data analysis or related fields.
• Experience with SQL or Tableau preferred.
• Possess and maintain an IT I level certification and an IAT II certification.
• Understanding and experience in a broad range of database competencies.
• Experience assessing impacts of legacy systems and addressing data-related problems.
• Ability to prioritize and meet deadlines.
• Strong data extraction and processing skills.

Nice-to-haves

• Experience in federal/military programming or project exposure.
• Understanding of algorithms and methods from a mathematical viewpoint.

Benefits

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