At a Glance
- Tasks: Analyse and visualise data to support strategic decision-making in a scientific organisation.
- Company: Join a leading scientific membership organisation with a focus on evidence and impact.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Inclusive workplace that values diversity and offers excellent career development.
- Why this job: Make a real difference by turning complex data into actionable insights.
- Qualifications: Experience with Python, Power BI, and a passion for data-driven decision making.
The predicted salary is between 34800 - 36800 € per year.
A fixed term contract until 31 December 2026 for a full-time Data Analyst (35 hours per week) with a salary of £34,800 to £36,800 per annum, pro rata, depending on experience. This role is hybrid working, based in London.
About the role:
An established scientific membership organisation is seeking a Data Analyst to join a small, specialist data insights team working at the heart of evidence, insight and impact. This role plays a key part in understanding the health of a scientific discipline and supporting strategic decision making through high quality data analysis, reporting and visualisation. You will work closely with technical colleagues and internal stakeholders to turn complex and sometimes messy data into clear, compelling insight that informs programmes, projects and policy activity. This is a fixed term opportunity until 31 December 2026, ideally starting as soon as possible.
What you will be doing:
- Working with internal and external datasets to extract, clean, analyse and interpret data
- Using Python for data extraction, cleaning and analysis, and Power BI to create clear, impactful dashboards and visualisations
- Designing, running and refining data workflows to support organisational projects and priorities
- Producing reports and evidence to agreed timescales for expert and non-expert audiences
- Supporting large scale data analytics projects and contributing to shared team outputs
- Improving data quality, data flows and approaches to data integration
- Ensuring best practice in data security, governance and management
- Providing insight and evidence to colleagues across the organisation to support decision making
What we are looking for:
You will bring a strong aptitude for working with data and a genuine interest in using evidence to inform real world decisions. You enjoy collaborating with others, take ownership of your work and are comfortable balancing multiple priorities while maintaining high standards. You will have:
- Demonstrable experience working with data and data structures
- Experience converting incomplete or unstructured information into usable datasets
- Experience presenting findings clearly to both technical and non-technical audiences
- Experience measuring progress against project targets or success criteria
- Experience using data analysis and visualisation tools, including Python for analysis and Power BI for dashboarding, or equivalent tools
- Strong communication, interpersonal and organisational skills
- A proactive, dependable and collaborative approach to work
Experience of cloud based data storage or workflow automation tools is desirable.
Additional information:
- Contract: Fixed term until 31 December 2026
- Working pattern: 35 hours per week
- Location: Hybrid working (Minimum 1 day per month onsite)
- Eligibility: Applicants must be UK based and able to complete right to work checks
- Selection process: Shortlisted candidates will be invited to interview and asked to complete a written test in advance
Our commitment to inclusion:
The organisation is open and inclusive and values and celebrates diversity. Applications are welcomed from all backgrounds and lived experiences. We want you to have every opportunity to demonstrate your skills, ability and potential; please contact us if you require any assistance or adjustment so that we can help with making the application process work for you.
Data Analyst (Python and Power BI) employer: Community Energy England
Join a leading scientific membership organisation that prioritises employee growth and collaboration in a supportive work environment. With a commitment to diversity and inclusion, this role offers the chance to work on impactful data projects while enjoying hybrid working arrangements in London. Benefit from competitive salary packages and the opportunity to contribute to meaningful decision-making processes within the scientific community.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Python and Power BI)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions and showcasing your skills with Python and Power BI. Create a portfolio of your best work to demonstrate your ability to turn messy data into clear insights.
✨Tip Number 3
Don’t just apply through job boards; head over to our website and submit your application there. It shows you're genuinely interested in the role and gives you a better chance of standing out!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Mention something specific from the interview to show you were engaged and are keen on the opportunity.
We think you need these skills to ace Data Analyst (Python and Power BI)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Python and Power BI, and don’t forget to showcase any relevant projects or achievements that demonstrate your data skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how your skills align with our mission at StudySmarter. Keep it concise but impactful!
Showcase Your Communication Skills:Since you'll be presenting findings to both technical and non-technical audiences, make sure to highlight your communication skills in your application. Give examples of how you've successfully conveyed complex data insights in the past.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Community Energy England
✨Know Your Data Tools
Make sure you brush up on your Python and Power BI skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Prepare for Real-World Scenarios
Think about how you would approach turning messy data into clear insights. Prepare examples of how you've done this in the past, and be ready to explain your thought process and the impact of your work on decision-making.
✨Communicate Clearly
Since you'll be presenting findings to both technical and non-technical audiences, practice explaining complex data concepts in simple terms. This will show your ability to bridge the gap between data analysis and actionable insights.
✨Show Your Collaborative Spirit
This role involves working closely with various stakeholders, so be prepared to discuss how you've successfully collaborated in previous roles. Highlight your interpersonal skills and give examples of how you’ve contributed to team success.
