Data Analyst | Makati  

MedGrocer's digitally-enabled "medicine-as-a-service" platforms are used by hundreds of employers and pharma companies. Our end-to-end medicine/vaccine programs, telehealth services, and onsite medical staff serve a million Filipinos every year. MedGrocer is one of the more established Filipino Health Tech startups.

The Data Analyst supports various teams and initiatives with insights gained from data. They analyze complex datasets to identify opportunities for product development and process improvement.

Key Responsibilities

• Learn and use statistical tools to collect, clean, and analyze complex datasets
• Ideate and implement solutions that address gaps and improve our services and processes
• Create models that assess the outcomes of different courses of action
• Develop reports and communicate insights to MedGrocer and its stakeholders
• Collaborate with cross-functional teams to gather relevant data from various sources to ensure the accuracy and completeness of collected data

Why MedGrocer?

• Progress: To work on projects that involve statistical analysis, which enables you to hone your skills in collecting, cleaning, and analyzing complex datasets. You will be able to have ownership over your work and have a chance to be exposed to opportunities that could enhance your capabilities in creating data-informed decisions
• Purpose: To design and implement an impact in the digitally enabled platform to provide end-to-end care in the form of integrating onsite medical services and 24/7 teleconsultations in order to enhance the lives of millions of Filipinos
• People: To both work and have fun with a group of dynamic and passionate individuals from diverse backgrounds, from whom you will create bonds with and have the chance to learn from

It is preferred but not required to have the following qualifications:

• A degree in Data Science, Computer Science, Statistics, or any related field;
• Knowledge in advanced statistical techniques;
• Knowledge in machine learning techniques and their applications;
• Experience in using programming languages (e.g. SQL, R, Python) for data analysis