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Cynet Health seeks a Technical - Business/Systems Analyst to join our data team. The role focuses on building and maintaining data infrastructure, pipelines, and analytics tools to support departmental needs and strategic decisions.
The candidate should hold a Master or Bachelor in Computer Science, Informatics, Analytics, or a related field with 1 year of relevant experience; or 4 years in data analytics or related fields. Strong SQL, Python, ETL/ELT skills are required.
Profession: Clinical Business Analyst
Specialty: -
Duration: Temp to hire
Shift: Monday - Friday
Hours per Shift: 5x7.5, 8:00 AM - 4:00 PM or 9:00 AM - 5:00 PM
Experience: Master or Bachelor Degree in Computer Science, Informatics, Analytics, or a related field plus 1 year of relevant experience; or 4 years of experience in data analytics, software programming, or a related field.
License: -
Certifications: -
Must-Have:
SQLRelational databasesPythonData pipelinesETL/ELT
Description:The primary responsibility is to build and maintain data infrastructure and analytical tools to support departmental needs.This role requires a full-stack data professional working with both engineering/modeling and analytical aspects of data to fulfill the organization’s data and analytical requirements.Responsibilities include building infrastructure, including pipelines and automated processes, for optimal extraction, loading, and transformation of data from various sources.Analytics is provided to drive operations and decision-making across multiple domains, such as revenue and expense management.The candidate should be able to assemble raw and disjointed data sets and transform them into efficient data models for tracking, reporting, and financial operations.Identifying, designing, and implementing process improvements is also essential, including automating manual processes and optimizing operational efficiencies.Collaboration with cross-functional stakeholders and partners is necessary to assist with data-related issues and support their needs.Ad-hoc and recurring reporting and analyses will be prepared, along with building analytical tools to support senior management decision-making.Reports and dashboards will be created to provide visibility into key metrics and trends.Routine data validation rules and processes will be established to ensure completeness and integrity.Assistance with financial reconciliations and planning will be provided, focusing on automation to improve efficiencies.Maintaining clear, organized, and complete documentation of data operations and curated datasets is critical for operational resiliency.The candidate will analyze and document business requirements and processes, communicating these to technical personnel.Opportunities for performance improvement will be identified and resolved.Other related tasks or projects may be required.