Senior Data Analyst at mDoc Healthcare Limited

mDoc is a digital health social enterprise that leverages behavioural science, technology, and quality improvement methodologies to improve access to quality healthcare for people with chronic health needs. We are seeking a knowledgeable engineering manager to join our team.

Our goal is to augment the knowledge and capability of healthcare providers and health consumers to ensure longer, happier, and healthier lives across sub-Saharan Africa. mDoc aims to further build capability and support physicians in providing education and tools to patients to improve self-management. Our ethos is etched in the belief that augmenting the healthcare and technology landscape is paramount to helping Africa unlock its true potential. We are on a mission to transform how African healthcare consumers receive the support they need to live longer, healthier, happier, and more productive lives.

We are recruiting to fill the position below:

Job Title: Senior Data Analyst

Locations: Lagos
Employment Type: Full-time

Job Description

• We are seeking an enquiring, precise senior data analyst to contribute to the design and build of analytic solutions that will inform business decisions, drive operations, measure our performance and validate our value as a company.
• Healthcare data is complex and vast, so you must be excited about sinking your teeth into complex problems, untangling them and communicating your findings to the team.
• Behind every data element is a real person, with real problems that mDoc is working hard to address, and the Data team is responsible for delivering accurate and timely information to steer these efforts.
• If you like hard problems, have experience pulling insight out of complex structured and unstructured data sources, and are an amazing teammate, we want to hear from you!

Responsibilities

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• Work with clinical, operational and research leaders to identify levers for broad system change, pull them, and measure the results
• Perform complex descriptive analyses over production-scale data sets to drive business decisions
• Build-out our real-time reporting dashboards and own early data tooling across Clinical, Product, and Customer Success verticals
• Design reports to steer our value-driven business lines, including traditional and nontraditional success metrics. Work with our clinical operations team to design robust evaluation models
• Work with the clinical, tech teams daily

Skills and Qualifications

• Relevant qualifications with experience.
• Experience building data products using industry standard tools
• Experience with Jupyter notebook and related datavis packages
• Comfort across a range of data analysis toolsets (Python, R, SAS, SPSS)
• Excellent at data visualization using Power BI
• Deep understanding of structured and unstructured databases such as SQL and mongoDB

Application Closing Date
15th May, 2024.

How to Apply
Interested and qualified candidates should send their Applications to: [email protected] using the Job Title as the subject of the mail.