At a Glance
- Tasks: Analyse and report on data to support impactful decision-making and organisational learning.
- Company: Join ShelterBox, a dynamic organisation dedicated to humanitarian efforts.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Hybrid or remote work options available, with travel to Truro up to four times a year.
- Why this job: Make a real difference by using data to improve lives and programmes.
- Qualifications: Strong numerical skills and a passion for data analysis.
The predicted salary is between 32464 - 32464 £ per year.
The Data Analyst sits within the MEAL team in Programme Quality and is responsible for strengthening ShelterBox's management, analysis and reporting of data to support effective decision-making, accountability to affected populations, and organisational learning. The role ensures the accuracy, consistency and usability of programme data, supports robust analysis of reach and results, and delivers high-quality reporting through Power BI dashboards and accessible insights for project teams, senior leadership and trustees.
WHO ARE WE LOOKING FOR?
ShelterBox is seeking a motivated and proactive individual with strong attention to detail and a high standard of accuracy. The role would suit someone with strong numerical aptitude, a curiosity for working with data, and a genuine commitment to learning and continuous improvement. The postholder will enjoy analysing and interpreting data and will be motivated by using evidence to strengthen programme quality, learning and decision-making. Working across the project portfolio, they will collaborate closely with colleagues in multiple teams to support data-driven reflection and organisational learning.
DUTIES WILL INCLUDE BUT NOT BE LIMITED TO:
- Distribution Data and Reach Reporting 30% FTE: In collaboration with MEAL Coordinators, clean, verify, and validate data sets before uploading them onto organisational reporting platforms. Ensure the datasets reflect the project plans and that participants receive assistance as intended. Review and compare registration and distribution lists and conduct verification exercises meeting organisational requirements. Support to standardise data, monitor and follow up on missing data and ensure timely submissions. Provide clarity on requirements for IT team members in the production of Power BI reports.
- KPI reporting 15% FTE: Support the MEAL Coordinators with the timely quarterly reporting on accountability to the affected population of KPIs. The 3 KPIs focus upon: Robust needs assessments informing project design, Communication of project objectives and plans, Efficacy of FCRM/complaints. Liaise with MEAL Coordinators and manage the data sheets and the dashboards to ensure accessible reports for colleagues.
- Project Data Analysis & Reporting 40% FTE: Clean and analyse endline/PDM datasets to support the reporting against logframe indicators, identify trends, and enhance understanding and learning around project results and organisational performance. Provide quality assurance over programme data in internal project management system, helping to ensure it is being used correctly and has the right data. Make recommendations for future migration of data.
- Contribute to organisational learning 15% FTE: Support the PQ team to distil and communicate learnings to ShelterBox colleagues, partner and beyond through the analysis of project data and drafting of reports.
Any other duties as required which are deemed appropriate to the level and grade of the post.
Please note: We reserve the right to close this vacancy early if we receive a high volume of applications. We therefore encourage you to submit your application as soon as possible.
Data Analyst in Truro employer: ShelterBox
ShelterBox is an exceptional employer that values flexibility and collaboration, offering a hybrid working model that allows for a balance between remote work and occasional travel to our beautiful Truro location. We foster a supportive work culture focused on continuous learning and professional growth, empowering our employees to make a meaningful impact through data-driven decision-making in humanitarian efforts. Join us to be part of a dedicated team that prioritises accountability and innovation in improving the lives of those affected by crises.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Truro
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ShelterBox!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ShelterBox.
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We think you need these skills to ace Data Analyst in Truro
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ShelterBox, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ShelterBox. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ShelterBox
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ShelterBox!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
