Fundraising Data Insight Specialist (Power BI)

Fundraising Data Insight Specialist (Power BI)

Full-Time 30000 - 40000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Analyse data to support MSF's fundraising strategy and create impactful reports.
  • Company: Join Médecins Sans Frontières, a leading humanitarian organisation making a difference worldwide.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic environment with a commitment to diversity and inclusion.
  • Why this job: Be part of a mission-driven team using data to change lives and support vital medical aid.
  • Qualifications: Experience in data analytics, Power BI, and a passion for humanitarian work.

The predicted salary is between 30000 - 40000 £ per year.

Company Description

Médecins Sans Frontières/Doctors Without Borders (MSF) provides life-saving emergency relief and longer-term medical care to some of the most vulnerable and excluded communities around the world. As an independent medical humanitarian organisation, we deliver care based only on need, regardless of ethnic origin, gender, religion or political affiliation. MSF relies on donations from private individuals and organisations for the majority of its income. This private funding gives MSF the freedom to respond where needs are greatest and to speak out publicly, free from any political interference. MSF has around 67,000 local and international staff working in over 70 countries, in some of the most challenging places in the world.

Position

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.

Hours: 37.5 hours per week, Mon-Fri

Duration: Permanent

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

Responsibilities

  • Support the analysis and insight required to aid in the investment in and development of MSF UK’s Fundraising strategy.
  • Responsible for reporting and performance analysis, producing KPIs, maintaining Power BI dashboards, training on the use of Power BI and supporting income modelling.

Requirements

  • 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.

Accessibility

We are committed to removing barriers for people with specific accessibility needs. If you need an adjustment to the recruitment process to be considered for the role, please let us know by contacting recruitment.UK@london.msf.org.

Diversity, Equity and Inclusion

We are a welcoming, diverse, and inclusive organisation. MSF UK thrives when everyone feels comfortable bringing their best self to work. We celebrate difference, whilst striving to create an environment where colleagues feel respected and valued for their unique potential. We are committed to our values on equity, diversity, and inclusion.

Safeguarding

MSF UK/IE is dedicated to safeguarding everyone who comes into contact with the organisation, for whatever reason and however brief. All posts are subject to safer recruitment process which include robust reference requests, scrutiny of employment history and where applicable criminal record and barring checks.

Right to work in the UK

Candidates must have the right to work in the UK.

Fundraising Data Insight Specialist (Power BI) employer: Médecins Sans Frontières

Médecins Sans Frontières UK is an exceptional employer, offering a dynamic and inclusive work culture that values diversity and innovation. As a Fundraising Data Insight Specialist, you will have the opportunity to develop your analytical skills while contributing to life-saving humanitarian efforts in a supportive environment that prioritises employee growth and professional development. With a hybrid working model based in London, MSF UK fosters a collaborative atmosphere where your insights directly impact strategic fundraising goals, making your work both meaningful and rewarding.

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Contact Details:

Médecins Sans Frontières Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Fundraising Data Insight Specialist (Power BI)

Tip Number 1

Network like a pro! Reach out to people in the fundraising and data analytics sectors, especially those connected to MSF. Attend events, webinars, or even local meet-ups to make connections that could lead to job opportunities.

Tip Number 2

Show off your skills! Create a portfolio showcasing your Power BI dashboards and any data insights you've generated. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on your knowledge of MSF's mission and values. Be ready to discuss how your data insights can directly support their fundraising goals and humanitarian efforts.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the MSF team and contributing to their vital work.

We think you need these skills to ace Fundraising Data Insight Specialist (Power BI)

Data Analytics
Power BI
Dashboard Creation
SQL
Python
Data Cleansing
Trend Analysis

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data analytics and Power BI. We want to see how your skills align with the role of Data Insight Officer, so don’t hold back on showcasing your relevant achievements!

Showcase Your Passion:Let us know why you’re excited about working with Médecins Sans Frontières. Share your enthusiasm for humanitarian work and how your data insights can contribute to our mission. A personal touch can really make your application stand out!

Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use bullet points where possible to make your skills and experiences easy to read. We appreciate clarity, especially when it comes to data!

Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way to ensure we receive your details directly. Plus, you’ll find all the info you need about the role and our organisation there.

How to prepare for a job interview at Médecins Sans Frontières

Know Your Data Tools

Make sure you brush up on your Power BI skills before the interview. Be ready to discuss how you've used it in past roles, especially in creating dashboards and visualising data. MSF is looking for someone who can hit the ground running, so showcasing your familiarity with these tools will definitely give you an edge.

Understand the Mission

Familiarise yourself with Médecins Sans Frontières' mission and values. They want to see that you're not just interested in the role but also passionate about their humanitarian work. Be prepared to discuss how your skills can contribute to their fundraising strategy and overall goals.

Showcase Your Analytical Skills

Be ready to demonstrate your analytical prowess. Prepare examples of how you've identified trends and patterns in data, and how those insights have informed decision-making in previous roles. This is crucial for the Data Insight Officer position, so make it a focal point in your responses.

Prepare Questions

Have a few thoughtful questions ready to ask at the end of your interview. This shows your genuine interest in the role and the organisation. You might ask about their current fundraising strategies or how they envision the integration of machine learning into their processes. Engaging in this way can leave a lasting impression.