Data Analyst

Do you believe that numbers can save lives, and want to turn data into real-world impact?

Your Role:

As a Data Analyst, you will help analyse complex datasets from research studies and programs, derive insights and communicate findings with compelling visualisations. You will work closely with the Team Lead of the unit, research and program teams.

You will:

• Identify available datasets to answer relevant research and programmatic questions
• Clean, manage, and analyse research datasets, as well as large, messy programmatic datasets
• Conduct regression analyses, risk modelling, survival analysis, and other statistical methods
• Identify early warning signals and leading indicators of maternal and newborn risk
• Support rapid-cycle evaluations and real-time decision-making
• Generate simple, intuitive dashboards, visualisations and analytical summaries
• Synthesise findings for diverse audiences, including researchers, program teams, and policymakers
• Collaborate with qualitative, implementation, and research teams to contextualise results
• Contribute to building a culture of analytical rigour, truthfulness, and learning

Who You Are:

You may come from statistics, public health with a Master's/Bachelor's degree, data science, economics, epidemiology, or any field that has trained you to think analytically and use statistical and analytical tools to solve problems with clarity.

We expect that you:

• Are a self-starter, with a demonstrated ability to frame analytical questions independently and select appropriate statistical approaches to answer them from a given dataset
• Have strong grounding in statistics, including regression, GLMs, causal thinking, risks and probabilities, survival analysis, multilevel modelling, etc.
• Are fully comfortable working in R and/or Python, and able to write reproducible, well-documented code
• Have experience cleaning and analysing large, messy, real-world datasets
• Understand missing, bias, confounding, and limitations of observational data
• Can communicate complex analyses in simple, meaningful ways
• Are familiar with dashboard tools like Shiny, Dash, etc.
• Are willing to learn emerging analytical approaches, including AI-assisted workflows
• Are curious, disciplined, meticulous, thoughtful, and willing to learn continuously
• Bring humility, empathy, and respect for lived experience
• Have a genuine desire to make a difference in maternal-newborn health

Nice to have:

• Experience with analysing data from RCTs, large national surveys, health systems data would be a bonus

You enjoy this role if you:

• Like working in complex systems where patterns emerge through exploration
• Often ask yourself questions like: "What is the story behind this data?"
• Feel comfortable with ambiguity and imperfect data
• Thrive in collaborative, cross-disciplinary teams
• Are energised by the idea that your analysis might save a baby's life next week?
• Believe that science becomes powerful when joined with compassion

Skills

Python, R, Regression, Statistics