Data Insight Officer

CharityJob; Greater London; Hybrid; GBP 42,000 - 51,000; Full time

Job summary

MSF UK is seeking a Data Insight Officer to join the CRM and Insight team in London. You will support analysis and reporting to drive MSF UK's fundraising strategy, collaborate with the Data Insight Specialist and department heads, and contribute to KPI development and income modelling.

You will maintain Power BI dashboards, deliver insight projects, assist in implementing machine learning, and present findings to stakeholders with clear visuals and concise narratives.

Qualifications

• Experience with data analytics and reporting in a data insight role.
• Experience using Power BI to create dashboards and visualise data.
• Experience extracting data from sources like Dynamics or a data warehouse and using SQL.
• Experience with Python for data cleansing and analysis.
• Ability to identify patterns, interpret trends and inform fundraising strategy.
• Advanced numeracy with high accuracy in data analysis and MS Excel.
• Interest in machine learning and predictive analytics.
• Knowledge of data protection and GDPR processes.

Responsibilities

• Support analysis and insight to aid fundraising strategy development.
• Produce KPIs, maintain Power BI dashboards and support income modelling.
• Report and performance analysis to inform decisions for fundraising.
• Train users on Power BI and ensure data quality across sources.
• Collaborate with stakeholders including the Data Insight Specialist and department heads.

Skills

Power BI

SQL

Python

Data analysis

Machine learning interest

Excel advanced

Agile

Stakeholder reporting

Tools

Power BI

SQL

Python libraries (Pandas, MatPlotLib, Scikit-Learn)

Job description

Position:

MSF are the world’s leading emergency medical aid organisation. Committed to innovation and creativity, MSF UK deliver vital funds and raise awareness of MSF’s humanitarian mission. We have an exciting opportunity for a Data Insight Officer to join our Fundraising team. The Data Insight Officer is an integral role within the CRM and Insight team. Working alongside the Data Insight Specialist, multiple Department Heads and team members across fundraising, you will be responsible for supporting the improvement of existing reporting, delivering insight projects and assisting in the implementation of machine learning in our fundraising function. You will be joining a highly successful and fast paced fundraising team who raised over £100 million in 2025. We have an ambitious fundraising strategy and the analysis driven by the insight team will play a significant part in the development of MSF UK’s strategic fundraising goals. It is therefore vital that you have a keen eye for detail with the ability to highlight trends and patterns in data and present those findings to key stakeholders. This role offers the opportunity to gain experience in the not-for-profit sector and to develop your analysis skills, working with advanced data tools, including our data warehouse and to be part of an exciting transformation as we embed predictive analytics and machine learning into our fundraising work. So, if you’re looking to excel in the area of data insight and you’d like to be part of supporting strategic change for a medical organisation, we want to hear from you.

Hours: 37.5 hours per week, Mon Fri

Duration: Permanent

Location: London - hybrid, 2 days per week in London office (Including Wednesdays)

Salary: £ 41,902.62 - £ 51,214.32 per annum

Salary is offered in line with our pay framework and typically starts at the entry point of the band. Salary increases are considered annually and are subject to our appraisal and performance review process.

Job Purpose:

The primary role of the Data Insight Officer is to support with the analysis and insight required to aid in the investment in and development of MSF UK’s Fundraising strategy.

Reporting to the Data Insight Specialist, the Data Insight Officer is responsible for reporting and performance analysis, producing KPIs, maintaining Power BI dashboards, training on the use of Power BI and supporting income modelling.

Please download the full job and person specification below for further details.

Knowledge Skills & Experience:

• Considerable experience and understanding of data analytics and reporting, preferably within a Data Insight role.
• Considerable experience of using Power BI and creating dashboards to visualise data.
• Experience of gathering data from various sources such as Microsoft Dynamics, or a Data Warehouse to produce reports. A suitable candidate will have a background in SQL.
• Experience of using Python libraries such as Pandas, MatPlotLib, Ski-kit Learn or equivalent and using Python for data cleansing.
• Experience of identifying patterns and interpreting trends in data and presenting results to inform Fundraising strategy.
• An excellent level of numeracy combined with accuracy and attention to detail in the area of data analysis.
• Demonstrable knowledge of Microsoft Excel to an advanced level including use of Power Query, formulas and other data analysis features.
• An interest in Machine Learning and predictive analytics.
• An agile approach to work and understanding of agile methodology is desirable.
• Knowledge of data protection and GDPR processes.
• A systematic and organised approach with a proven ability to follow things through and meet regular deadlines.
• Confident interpersonal and negotiating skills with an ability to manage and build relationships with external suppliers, as well as with colleagues.
• Self‑motivated, flexible and able to work without close supervision.
• Ability to manage and prioritise a busy workload amid conflicting demands.
• Flexibility to take on other related tasks combined with willingness to learn.
• Fluency in written and spoken English.
• Commitment to the aims and values of Médecins Sans Frontières.
• Experience in the practical use of personal IT equipment and Microsoft Office 365 suite.The ability to effectively collaborate and communicate within a hybrid working environment utilising Teams, SharePoint, One Drive and Yammer.

Recruitment timetable:

• Closing date for applications: Tuesday 2 June 2026, 12.00pm (BST)
• First round interviews: Monday 15 June 2026
• Second round interviews Tuesday 23 June 2026
• Projected Start Date: 20 July 2026, Dependant on candidate availability