Data Scientist/Analyst

$120,000 - $150,000/Yr

Na Oiwi Kane - Silver Spring, MD

Full-time - Mid Level

Onsite - Silver Spring, MD

11-50 employees

About the position

The Data Scientist/Analyst position at KaiHonua, LLC involves supporting data analytics and data science efforts within a team focused on modernizing and maintaining data models for various client systems. The role requires analyzing current data models, conducting gap analyses, and providing recommendations for utilizing big data sets to enhance reporting capabilities for population health. This position is based in Silver Spring, MD and requires on-site presence.

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 of system integration and compatibility.
• Ability to prioritize and meet deadlines.
• Strong data extraction and processing skills.

Nice-to-haves

• Experience within the domain of population health.
• Federal/Military programming or project exposure.
• Experience defining an overall data architecture during project phases.

Benefits

• 401(k)
• Dental insurance
• Disability insurance
• Flexible spending account
• Health insurance
• Life insurance
• Paid holidays
• Tuition reimbursement
• Paid paternal leave