Data Analyst (Python and Power BI) in London

Data Analyst (Python and Power BI) in London

London Temporary 34800 - 36800 £ / year (est.) Home office (partial)
Community Energy England

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: Fixed term contract until December 2026 with a supportive and inclusive work culture.
  • 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, full time, 35 hours per week. Salary: £34,800 to £36,800 per annum, pro rata, depending on experience. Hybrid working, London Based Office.

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) in London employer: Community Energy England

Join a dynamic scientific membership organisation that prioritises evidence-based decision making and values collaboration within a supportive work culture. As a Data Analyst, you will benefit from hybrid working arrangements in London, competitive salary, and opportunities for professional growth while contributing to impactful projects that shape the future of scientific disciplines. Our commitment to diversity and inclusion ensures that every employee feels valued and empowered to succeed.

Community Energy England

Contact Details:

Community Energy England Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst (Python and Power BI) in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 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 practising common data analyst questions and scenarios. Think about how you would explain complex data insights to non-technical audiences – clarity is key!

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 (Python and Power BI) in London

Data Analysis
Python
Power BI
Data Cleaning
Data Visualisation
Data Workflow Design
Report Production

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 showcase any relevant projects that demonstrate your data analysis skills. We want to see how you can turn messy data into clear insights!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your skills align with our needs. Don’t forget to mention your collaborative approach and how you handle multiple priorities – we love a proactive team player!

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. We want to know how you can make complex data understandable for everyone!

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. Let’s get started on this journey together!

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, and how they helped you turn messy data into clear insights. This will show that you not only know the tools but can also apply them effectively.

Prepare for Real-World Scenarios

Think about how you would approach a data analysis project from start to finish. Be prepared to explain your process for extracting, cleaning, and interpreting data. This will demonstrate your problem-solving skills and your ability to handle real-world data challenges.

Communicate Clearly

Since you'll be presenting findings to both technical and non-technical audiences, practice explaining complex data concepts in simple terms. Use examples from your past experiences to illustrate how you’ve successfully communicated insights to diverse stakeholders.

Show Your Collaborative Spirit

This role involves working closely with colleagues and stakeholders, so be ready to share examples of how you've collaborated in the past. Highlight your ability to balance multiple priorities while maintaining high standards, as this will resonate well with the team-oriented culture they’re looking for.