Dat Insights Analys （Remote，Entry-Level）

About the Role

The Data Insights Analyst is a part-time, remote, entry-level role focused on supporting data-driven decision-making across hospital operations and clinical services.

Key Responsibilities

• Gather data from multiple systems.
• Clean and organize datasets.
• Prepare basic reports and dashboards highlighting key trends and performance indicators.
• Assist with data quality checks.
• Document processes.
• Respond to simple data requests from clinical and administrative teams.
• Collaborate with supervisors and senior analysts to interpret findings.
• Support ongoing projects.
• Ensure data is presented clearly and accurately for non-technical stakeholders.
• Work independently while adhering to established guidelines, timelines, and privacy standards.

Requirements & Tech Stack

• Foundational data analysis skills, including basic statistical understanding and data cleaning.
• Ability to work with spreadsheets or entry-level analytics tools.
• Proficiency in Excel or similar tools.
• Familiarity with data visualization platforms (e.g., Power BI, Tableau).
• Comfort working with databases or structured data.
• Problem-solving and critical thinking skills, including the ability to identify data inconsistencies and follow analytical procedures.
• Ability to interpret simple trends and patterns.
• Strong communication and collaboration skills, including clear written reporting.
• Ability to explain findings to non-technical audiences.
• Openness to feedback in a team environment.
• Organizational and time-management skills, including the ability to prioritize tasks and meet deadlines in a part-time setting.
• Ability to maintain accurate documentation of methods and results.
• Reliable connectivity for a remote position.

Qualifications

• Diploma or bachelor’s degree (completed or in progress) in a quantitative, health, or related field (e.g., Public Health, Statistics, Data Science, Information Systems), or equivalent experience.
• Additional beneficial qualifications include:
• Knowledge of healthcare or public sector environments.
• Awareness of data privacy and confidentiality requirements.
• An interest in using data to improve patient care and operational efficiency.