Enterprise Data & Analytics Analyst – Platform Engineering

Responsibilities

• Operational management and platform quality assurance of the Enterprise Data & Analytics Platform (EDAP) and its corresponding technology toolchain.
• Manage both new technologies and capabilities as well as transitioning legacy systems for data & analytics as identified in the FHB Enterprise Data & Analytics strategy and roadmap.

Requirements

• Bachelor’s degree in computer science, information systems, data science, mathematics, or quantitative analysis required.
• Snowflake Foundation Course required.
• AWS Cloud Foundation Course required.
• SAP Certified Application Associate – SAP BusinessObjects Web Intelligence 4.2 required.
• Tableau Desktop Specialist or equivalent required.
• ThoughtSpot Professional or equivalent required (Certifications: If not already obtained, required to obtain within 1 year of employment).
• 2+ years of relevant work experience, preferably in business intelligence, platform administration/reporting, or data engineering roles with increasing responsibilities and data & analytics tool capabilities.
• Required experience may be obtained concurrently. 1 year of relevant data platform experience can be substituted with higher education qualifications in the areas of concentration above.
• Working knowledge of database constructs, report writing/visualization, and spreadsheet applications.
• Strong verbal, interpersonal and written communication skills essential to communicate with all levels of management and influencing skills to articulate, motivate and engage internal and external stakeholders.
• Ability to deliver presentations in front of a large group when necessary.
• Self‑motivated, organized to handle multiple tasks simultaneously, able to work independently with high level general supervision.
• Ability to multi‑task effectively and manage multiple competing deadlines with a professional demeanor.
• Ability to apply effective critical thinking skills towards complex problems and offer logical solutions.
• Strong attention to detail with high levels of accuracy.
• Ability to build trust and handle confidential matters judiciously.
• Effective collaborator with the ability to use judgment and discretion and make decisions when required.

Core Competencies

Demonstrates expertise in operational management and quality assurance of data and analytics platforms, with a strong foundation in data visualization and reporting tools. Proficient in leveraging cloud technologies and data engineering practices to enhance platform capabilities and support business intelligence initiatives.