Position : Data Analyst

Working Hours : M-F, 40hrs/week, flexible(client is open to discussing working hours)

Holidays : US or PH Holidays

Salary Range : $800-1,500/month

About the Company

The company is the operating platform that helps real estate’s most client-centric agents and teams:

• close every deal.
• create a powerful flywheel of repeat and referral business.
• delight clients every step of the way.

About the Role:

We are not after years of experience, we essentially want people who are analytical and good communicators who can learn how our applications work, monitor dashboards, run reports, and configure user accounts/system preferences (not code related). The company is looking for a candidate with a passion for data analysis, critical thinking, and attention to detail. If this is you, we would like to get to know you!

Main Responsibilities

• Work with large datasets in Excel to identify trends, patterns, and insights
• Create visually appealing and informative PowerPoint decks to present findings to various stakeholders
• Conduct product research and design compile findings in Google Docs
• Develop and maintain dashboards and reports to track key performance indicators
• Collaborate with cross-functional teams to support data-driven decision making
• Compile to-dos and build roadmaps for achieving strategic objectives
• Handle workflows, data collection, data entry, and analysis in proprietary systems.

Tools to use

• Google Workspace
• Office 365

• At least 2-5 years of relevant experience
• Working knowledge of Excel and Google Sheets
• Excellent written and oral English skills
• Strong analytical, critical thinking, and problem-solving skills
• Attention to detail and strong organizational skills
• Ability to work collaboratively in a fast-paced environment
• Any real estate experience (ex: working as a virtual assistant to a real estate agent, working with real estate companies, etc.) is preferred but not required

The client is building software for an industry that has relied on paper and pen for a long time. Their mission is to build an all-in-one cloud-based platform that empowers pharmacists to schedule, document, and manage clinical services at scale. The company's clients include the 2 largest pharmacy chains in Canada, servicing 3500+ pharmacies, and powering over ~14M patient services, including playing a critical role across the country throughout the pandemic. The organization’s ultimate vision is to transform pharmacies from today’s dispensing locations to tomorrow’s health hubs.

Your responsibilities include but are not limited to:

• Create accurate and compliant FHIRr5 questionnaires based on provided questions in PDF format and/or written requirements.
• Utilize tools to troubleshoot any issues that may arise during the configuration process.
• Contribute to the JSON Structures library to simplify the process of creating questionnaires continuously.
• Use Adobe Acrobat to map questionnaire fields into PDF templates effectively.
• Efficiently design, set up, and oversee data dashboards tailored for non-technical team members, ensuring clarity and user-friendliness.
• Regularly update dashboards to reflect evolving needs and data streams accurately.
• Develop a deep understanding of the client’s data model, ensuring a comprehensive grasp of its nuances.
• Act as the bridge between technical data experts and non-technical teams, facilitating effective communication and understanding.
• Collaborate closely with various teams to ensure that data insights are actionable, relevant, and aligned with the client’s strategic objectives.

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Proven experience in configuring FHIRr5 Questionnaires, preferably in a healthcare or pharmaceutical setting.
• Proficiency in using Adobe Acrobat to map Questionnaire fields into PDF templates.
• Strong understanding of data dashboards design and management, emphasizing user-friendliness and clarity.
• Familiarity with data architecture principles and the ability to analyze complex data structures.
• Excellent communication skills and the ability to collaborate effectively with both technical and non-technical team members.
• Strong problem-solving skills and attention to detail.
• Ability to adapt to evolving requirements and technologies in the healthcare data analysis field.

Fully-remote work, competitive salary, fixed-shift.