At a Glance
- Tasks: Develop and analyse data platforms, create BI dashboards, and ensure data governance.
- Company: Join the International Rescue Committee, making a difference globally.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment focused on innovation and global impact.
- Why this job: Be part of impactful projects that enhance data quality and security worldwide.
- Qualifications: Experience in data development and analytics, with strong teamwork skills.
The predicted salary is between 31500 - 38500 £ per year.
International Rescue Committee in the United Kingdom and Kenya is seeking a Software Developer-Analyst to join the METAL/Data & Analytics team.
The role focuses on data platform development, BI dashboards, and data governance across global programs, including Comm Care, Power Apps, Power BI and Azure SQL Server.
The successful candidate will work with MEAL and program teams to deliver robust analytics, train staff on data tools, and help ensure data quality and security across IRC systems.
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Data Platform Developer & Analyst employer: ReliefWeb
MSI Reproductive Choices is an exceptional employer that prioritises meaningful work and employee development. With a collaborative culture that fosters innovation and advocacy, employees are empowered to influence global policy while enjoying comprehensive benefits and growth opportunities in a supportive environment. Located in a vibrant setting, this role offers unique advantages for those passionate about making a difference in reproductive health.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Developer & Analyst
✨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 ReliefWeb!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Platform Developer & Analyst at ReliefWeb.
✨Leverage Professional Networks
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 ReliefWeb.
✨Apply Directly through Our Website
When you find a suitable opening like Data Platform Developer & Analyst at ReliefWeb, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Platform Developer & Analyst
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 ReliefWeb, 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 ReliefWeb. 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 ReliefWeb
✨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 ReliefWeb!
✨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.
