Honu Services
posted 2 months ago
As a Data Scientist/Analyst at KaiHonua, LLC, you will be an integral part of a data analytics and support services team, focusing on providing comprehensive data science and analytics support. Your primary responsibilities will include analyzing, verifying, designing, refining, modernizing, and maintaining data models and component views within various client systems. The contractor team will conduct thorough reviews and analyses of current data models and data logic utilized in the vision registry to identify any existing gaps. You will be tasked with performing a gap analysis that includes creating a detailed and concise mitigation plan to address any identified gaps within the data model. Utilizing industry-standard methodologies, you will ensure that the data model, data logic, and established business rules are accurately represented in the reporting capabilities of the systems. In this role, you will also be responsible for analyzing and providing recommendations for utilizing big data sets. This involves structuring and analyzing data in a manner that enables client end users to prepare insightful reports from a population health perspective. You will support the development and implementation of data marts, data structures, functions, and data warehouse fact and dimension tables, views, and indexes. Your ability to interact effectively with Functional Analysts, Project Managers, ETL developers, and end users regarding data needs will be crucial. Additionally, you will write complex SQL queries and perform SQL performance tuning, while also working with SOAP and RESTful web services and developing web-based solutions using HTML, CSS, JavaScript, and JSON. Your role will require a strong understanding of data structures and modeling, as well as proficiency in data architecture, data visualization, and reporting. You will conduct data model reviews with project team members, capture technical metadata through data modeling tools, and gather analyst requirements to create and optimize data stores. Documenting all scripts used for extracting and processing data will also be part of your responsibilities. This position demands a proactive approach and the ability to perform tasks with minimal guidance, ensuring that all essential duties are completed satisfactorily.