About NOVI

At NOVI Health, we're positively changing the way healthcare is delivered by integrating traditional medical practice with consumer tech – providing a full-stack health solution based on motivational software, data science, and fitness and diet coaching at scale, all in addition to traditional health screening and medical care.

As we continue to scale, we’re building our data science and machine learning capabilities to improve the effectiveness and efficiency of our offering.

Who We're Looking For

You will help build our company's analytics and data science initiatives with exploratory projects, set up a business intelligence dashboard, and be a key driver in creating and scaling a quality patient-centric experience.

You will ensure that routine data analysis and reporting needs are met, as well as work closely with the management team to answer critical questions spanning areas such as business, product and marketing through various projects.

Responsibilities include:

• Using automated tools to extract data from primary and secondary sources
• Developing and maintaining databases
• Performing analysis to assess quality of data
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for meeting the business objectives
• Preparing reports for the management and other stakeholders, stating trends, patterns, and predictions using relevant data
• Collaborating with the product / growth team to design A/B experiments and contribute to decision-making in product development and marketing
• Setting up and improve automated processes for extracting data and generating reports for management, partners, and other stakeholders
• Collaborating with the product / growth team to design A/B experiments and contribute to product development and marketing
• Using statistical tools to perform analysis across multiple sources of data to uncover trends, patterns, and insights, to aid product and business decision making

Projects can include:

• Making sense of our existing datasets: demographics, medical data, app usage & behavioural analytics, customer acquisition data, financial metrics
• Conducting exploratory investigations to gain insights to support strategic decision-making, prioritisation of feature development, identification of weaknesses, increased customer acquisition and reduced churn.
• Building our metrics dashboard to empower our team to easily extract and gain valuable business insights