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Regional Data Analyst

Job in Essex, Essex County, England, UK
Listing for: ReliefWeb
Full Time position
Listed on 2026-06-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below

About MSI

MSI Reproductive Choices is one of the world’s leading providers of sexual and reproductive healthcare. We believe that everyone should have the right to choose. From contraception to safe abortion and life-saving post-abortion care, we are committed to delivering compassionate, affordable, high-quality services for all.

Today, our organisation has almost 9,000 team members working in 36 countries across the world. Our success lies in the fact that MSI teams are locally led, entrepreneurial and results-driven, and are passionate about delivering high quality, client-centred care in their own communities. As a social business, we focus on sustainable delivery, efficiency, and funding models that are built to last, so that the women and girls we serve today will have a choice in the future too.

We know that access to reproductive choice is life changing. For some, it can mean the ability to complete an education or start a career. For others, it means being able to look after the family they already have. For everyone, it means the freedom to decide their own future, creating a fairer, more equal world.

The Role

The Regional Data Analyst – Africa will transform fragmented country-level operational, marketing and commercial datasets into actionable, timely insights that drive regional decision-making. This role will own regional data consolidation, build and maintain real-time dashboards, measure intervention ROI, forecast risks and opportunities, and partner with country programmes (CPs) and regional teams to ensure data is trusted, accessible and used to improve performance and scale high-impact interventions.

The role reports into the Regional Head of Commercial / Regional Head of Marketing (or equivalent) and works closely with country data leads, commercial, marketing, supply chain and monitoring & evaluation teams.

This role is expected to be based within the Africa region to ensure close proximity to country programmes, distributors, and market realities.

About You

For us, it’s vital that every MSI team member believes in and is committed to our organisational mission, vision and values. This means that we will only accept applications from candidates who are unequivocally pro-choice.

Our values act as guiding principles, providing us with a clear direction. They set the tone for how we approach our work, interact with others and align ourselves as ‘One MSI’. It’s important that our team members truly resonate with our values and demonstrate them consistently, in all that they do.

We recruit talented, dynamic individuals with diverse backgrounds who share our mission and are focused on delivering measurable results. As an equal opportunity employer, we are committed to fostering an inclusive workplace where everyone can participate and contribute meaningfully. We value open-mindedness, curiosity, resilience, and a solutions-oriented mindset, alongside a commitment to promoting equality and safeguarding the welfare of both team members and clients.

We seek exceptional communicators who are self-motivated, solutions-driven, and aligned with MSI’s mission and entrepreneurial mindset. You should be dedicated to driving social change in an environment focused on sustainable impact, both locally and globally, and comfortable working with diverse teams in an ambiguous setting.

Required Skills
  • Advanced analytical skills with strong experience in data engineering, analytics and visualisation (Power BI / Tableau / Looker / similar)
  • Experience building real-time dashboards and automated reporting pipelines
  • Strong statistics and causal inference fundamentals (A/B, difference-in-differences, interrupted time series, propensity scoring where required) to measure impact and ROI
  • Experience in time-series and forecasting techniques (ARIMA, ETS, or machine-learning approaches as appropriate) and anomaly detection
  • Solid SQL and a scripting language (Python or R) for data transformation and modelling
  • Strong data governance mindset — ability to define standards and enforce data quality
  • Excellent stakeholder communication — translate complex analyses into short, operational recommendations for non-technical…
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