At a Glance
- Tasks: Analyse data and report on key performance indicators to drive impact.
- Company: Join a dynamic team focused on innovation and personal growth.
- Benefits: Enjoy hybrid working, professional development, and a supportive environment.
- Other info: Collaborate globally in a diverse and inclusive workplace.
- Why this job: Make a real difference by using data to inform important decisions.
- Qualifications: Experience with Python, Power BI, and a passion for data analysis.
The predicted salary is between 30000 - 40000 € per year.
We are looking for an enthusiastic and driven data analyst to support our busy Impact and Evaluation team. The role offers the opportunity to work across a varied technical stack, including Python for metrics calculation and Power BI for reporting, and the scope to work with econometrics and a lakehouse platform in an environment that values innovation, collaboration, and personal growth.
Key Responsibilities
- Calculate and report on SMART KPIs to inform progress and performance reporting to funders, senior management, and the board.
- Contribute to project and programme impact analysis and evaluation studies across a range of programme areas.
- Improve the automation of KPI calculation, refresh cycles and reporting pipelines.
- Create and manage data systems for reporting needs.
- Coordinate with data owners across the organisation and support broader administrative workflows.
Skills & Experience Required
- Comfortable conducting high‑quality, reliable data analysis and delivering insights to inform progress reporting to funders, senior management and the board.
- Able to respond to evolving ad‑hoc requests from senior executives and other stakeholders, and reprioritise work as demands shift.
- Knowledge of Python scripts used to calculate metrics, with familiarity with common data structures (DataFrames, dictionaries, lists, JSON) and the analytical pipeline.
- Working knowledge of Power BI for dashboarding and reporting, and a good understanding of Power Apps and Power Automate for workflow automation.
- Automation mindset: able to identify repetitive reporting tasks and work with relevant teams to automate them, ensuring KPIs are refreshed reliably with minimal manual intervention.
- Team‑player ability to build good working relationships with stakeholders across the organisation and ensure data needed for monitoring and evaluation is accessible and meets reporting criteria.
- Ensure agreed reporting and monitoring processes are implemented to track progress toward delivering intended impacts, including data governance and management.
Desirable
- Economic and econometric knowledge, particularly difference‑in‑differences and propensity score matching, to contribute to evaluation studies.
- Experience with Databricks or another lakehouse platform (e.g. Microsoft Fabric, Snowflake), including writing SQL queries for data extraction and transformation.
Benefits & Working Conditions
- Hybrid working policy: one ‘anchor’ day per week in the office with the direct team and one flexible day per week for collaboration or independent work.
- We welcome candidates from all corners of the globe. Due to legal and logistical considerations, visa sponsorship will depend on the level of interest for the role and the salary level.
- We are committed to fostering an inclusive and diverse workforce and to providing opportunities for professional development, feedback, and mentorship.
Data Analyst in Harwell employer: Satellite Applications Catapult
Join our dynamic Impact and Evaluation team as a Data Analyst, where innovation and collaboration are at the heart of our work culture. We offer a hybrid working policy that promotes flexibility, alongside opportunities for professional growth and mentorship in a diverse environment. With access to cutting-edge tools like Python and Power BI, you'll play a crucial role in driving meaningful insights and automating processes that enhance our impact.
Contact Detail:
Satellite Applications Catapult Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Harwell
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python and Power BI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process and how you've tackled challenges in past projects—this will help you shine during the interview!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst in Harwell
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Analyst. Highlight your experience with Python, Power BI, and any relevant data analysis projects. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your enthusiasm for the role and how you can contribute to our Impact and Evaluation team. Don’t forget to mention your automation mindset and teamwork skills!
Showcase Your Technical Skills:Be specific about your technical abilities. If you've worked with SQL, econometrics, or any lakehouse platforms, let us know! We love seeing candidates who can hit the ground running with our tech stack.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Satellite Applications Catapult
✨Know Your Data Tools
Make sure you brush up on your Python and Power BI skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in calculating metrics or creating dashboards. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Analytical Mindset
Prepare examples of how you've approached data analysis in previous roles. Highlight any experience with econometrics or automation of reporting tasks. This will demonstrate your ability to think critically and improve processes, which is key for the role.
✨Understand the Impact
Familiarise yourself with the concept of SMART KPIs and be ready to discuss how you would calculate and report on them. Showing that you understand the importance of these metrics in informing stakeholders will set you apart as a candidate who truly gets the role's responsibilities.
✨Be a Team Player
Since collaboration is crucial, think of examples where you've successfully worked with different teams or stakeholders. Emphasise your communication skills and how you ensure data accessibility for monitoring and evaluation. This will highlight your fit within their collaborative environment.
